From 876df59ee761e788118273dfa5dade2fca619a90 Mon Sep 17 00:00:00 2001 From: IVinterbladh Date: Thu, 23 Apr 2026 09:43:24 +0200 Subject: [PATCH 01/22] Added the Sba form factors for amino acid and martini3 beads. Changed such that pripps can read martini structures and the martini form factors. Added a new excluded solvent option 'polynomial', where a yaml file with the polynomial coefficients are given. --- README.md | 4 +- assets/poly_atev.csv | 148 ++++ assets/poly_atev.yaml | 383 +++++++++ assets/poly_atomic.yaml | 408 +++++++++ assets/poly_excl.csv | 141 ++++ assets/poly_excl.yaml | 365 ++++++++ assets/poly_martini_atev.csv | 365 ++++++++ assets/poly_martini_atev.yaml | 960 +++++++++++++++++++++ assets/poly_martini_atomic.csv | 365 ++++++++ assets/poly_martini_atomic.yaml | 961 ++++++++++++++++++++++ assets/poly_martini_excl.csv | 365 ++++++++ assets/poly_martini_excl.yaml | 889 ++++++++++++++++++++ pripps-py/examples/batch_sba_sasbdb.py | 249 ++++++ pripps-py/examples/testing_sasbdb.ipynb | 497 +++++++++++ pripps-py/examples/testing_sba.ipynb | 278 +++++++ pripps-py/src/lib.rs | 19 +- src/cli.rs | 39 +- src/solvent/mod.rs | 16 +- src/solvent/polynomial_excluded.rs | 89 ++ src/structure.rs | 69 +- tests/lysozyme/6lyz.xyz | 131 +++ tests/lysozyme/lyzexp.dat | 2 +- tests/lysozyme/sba_fit.pdf | Bin 0 -> 17702 bytes tests/lysozyme/sba_fit_excl+hydration.pdf | Bin 0 -> 17774 bytes 24 files changed, 6710 insertions(+), 33 deletions(-) create mode 100644 assets/poly_atev.csv create mode 100644 assets/poly_atev.yaml create mode 100644 assets/poly_atomic.yaml create mode 100644 assets/poly_excl.csv create mode 100644 assets/poly_excl.yaml create mode 100644 assets/poly_martini_atev.csv create mode 100644 assets/poly_martini_atev.yaml create mode 100644 assets/poly_martini_atomic.csv create mode 100644 assets/poly_martini_atomic.yaml create mode 100644 assets/poly_martini_excl.csv create mode 100644 assets/poly_martini_excl.yaml create mode 100644 pripps-py/examples/batch_sba_sasbdb.py create mode 100644 pripps-py/examples/testing_sasbdb.ipynb create mode 100644 pripps-py/examples/testing_sba.ipynb create mode 100644 src/solvent/polynomial_excluded.rs create mode 100644 tests/lysozyme/6lyz.xyz create mode 100644 tests/lysozyme/sba_fit.pdf create mode 100644 tests/lysozyme/sba_fit_excl+hydration.pdf diff --git a/README.md b/README.md index b5a9974..49f23ca 100644 --- a/README.md +++ b/README.md @@ -99,10 +99,11 @@ print(f"c1={result.x[0]:.4f}, c2={result.x[1]:.4f}, χ²/N={result.fun:.4f}") | Parameter | Values | Description | |-----------|--------|-------------| -| `excluded` | `"disabled"`, `"fraser"`, `"foxs"`, `"grid"`, `"voronoi"` | Excluded-volume model | +| `excluded` | `"disabled"`, `"fraser"`, `"foxs"`, `"grid"`, `"voronoi"`, `"polynomial"` | Excluded-volume model | | `hydration` | `"disabled"`, `"sasa"`, `"grid"`, `"voronoi"` | Hydration-shell model | | `volume_scale` | float (default 1.0) | Scales excluded volume (PepsiSAXS `r₀`) | | `excluded_spacing` | float (default 1.0) | Grid spacing (Å) for `excluded="grid"` | +| `excluded_atomfile` | path (default `assets/poly_atev.yaml`) | Excluded-volume form-factor YAML for `excluded="polynomial"` | | `contrast_density` | float (default 0.03) | Fractional hydration-layer excess density (c₂ in `A − c₁·C + c₂·B`) — pepsi's `d_rho / ρ_water`, ~0.1 for a 10 % excess layer | | `probe` | float (default: 1.8 for SASA/grid, 6.0 for voronoi) | Water probe radius in Å | | `spacing` | float (default 1.5) | Grid spacing (Å) for `hydration="grid"` | @@ -122,6 +123,7 @@ subtracted from the atomic scattering via | `foxs` | Same formula as `fraser` but with the FoXS 16π denominator: dummy form factor decays more slowly with q → larger excluded-volume subtraction at high q. Matches FoXS. | `displaced_volume` per atom kind | | `grid` | Fills the molecular envelope with uniform grid cells, each carrying a Fraser Gaussian sized by cell volume (`spacing³`). Independent of per-atom displaced volumes. | `radius` per atom kind | | `voronoi` | Per-atom Fraser Gaussians sized by individual Voronoi cell volumes. Derives displaced volumes geometrically — no tabulated volumes needed. Achieves χ²≈0.20 on lysozyme, comparable to `fraser`. | `radius` per atom kind | +| `polynomial` | Uses per-kind excluded-volume form factors from a dedicated YAML table (e.g. `assets/poly_atev.yaml`), matched by kind name to the input structure. | matching entries in `excluded_atomfile` | The `fraser` and `foxs` models use per-atom displaced volumes from the form-factor YAML (derived from `radius` as `(4/3)πr³` when diff --git a/assets/poly_atev.csv b/assets/poly_atev.csv new file mode 100644 index 0000000..4e59a03 --- /dev/null +++ b/assets/poly_atev.csv @@ -0,0 +1,148 @@ +Restype,Coefficient Index,Value +ALA,0,8.9412587775497 +ALA,1,0.0 +ALA,2,16.011245238542376 +ALA,3,-16.521361728384683 +ALA,4,1.2933025488574188 +ALA,5,3.3398332086315183 +ALA,6,-0.9168303784888309 +ARG,0,22.478400682753 +ARG,1,0.0 +ARG,2,-76.88484987429919 +ARG,3,191.960715944726 +ARG,4,-186.00003070019167 +ARG,5,79.46368990494528 +ARG,6,-12.556750037517471 +ASN,0,19.949489234412567 +ASN,1,0.0 +ASN,2,1.6179004991799801 +ASN,3,-23.728215923317965 +ASN,4,28.038892792816576 +ASN,5,-12.386064402235293 +ASN,6,1.929507607517487 +ASP,0,21.142259115455996 +ASP,1,0.0 +ASP,2,0.8083841282589246 +ASP,3,-24.40440912470514 +ASP,4,29.535430988379265 +ASP,5,-13.10651536410425 +ASP,6,2.0372739416341537 +CYS,0,18.4839740069889 +CYS,1,0.0 +CYS,2,8.812507883396963 +CYS,3,-30.642459459023264 +CYS,4,29.917256325500603 +CYS,5,-11.91425779442574 +CYS,6,1.7004706037089043 +GLN,0,19.097505523941596 +GLN,1,0.0 +GLN,2,-19.519311966958725 +GLN,3,29.194793659203825 +GLN,4,-15.60297797159053 +GLN,5,2.294407640083047 +GLN,6,0.22452643450605897 +GLU,0,20.29129332390765 +GLU,1,0.0 +GLU,2,-23.92960632234384 +GLU,3,36.56322920155976 +GLU,4,-20.248077291844673 +GLU,5,3.4846151692772582 +GLU,6,0.13148709734953815 +GLY,0,10.03054111756488 +GLY,1,0.0 +GLY,2,3.8546967228919082 +GLY,3,0.6218935555757745 +GLY,4,-6.5173118334370725 +GLY,5,4.059828931486872 +GLY,6,-0.7342810687571033 +HIS,0,21.426981638952395 +HIS,1,0.0 +HIS,2,-6.545087786844122 +HIS,3,-9.218917681779088 +HIS,4,22.48808820296215 +HIS,5,-13.636405717258942 +HIS,6,2.629730298621099 +ILE,0,6.131903689507308 +ILE,1,0.0 +ILE,2,62.44603934058318 +ILE,3,-116.50937229150081 +ILE,4,87.22722909579876 +ILE,5,-29.91871615622492 +ILE,6,3.903617299464 +LEU,0,6.138681021896375 +LEU,1,0.0 +LEU,2,66.35117435927073 +LEU,3,-136.95291635172444 +LEU,4,116.85417275098094 +LEU,5,-46.21315581361594 +LEU,6,6.954197879918763 +LYS,0,10.255435432063244 +LYS,1,0.0 +LYS,2,-2.79528412490785 +LYS,3,31.003997628409078 +LYS,4,-38.481099323214984 +LYS,5,17.32696941435372 +LYS,6,-2.7042988301136206 +MET,0,16.6012526530535 +MET,1,0.0 +MET,2,4.275077970411341 +MET,3,-15.258361897925777 +MET,4,22.823327775070062 +MET,5,-13.770397262025778 +MET,6,2.7981498950550945 +PHE,0,9.071122674364272 +PHE,1,0.0 +PHE,2,39.79943933556812 +PHE,3,-81.30297163776913 +PHE,4,72.46058503731058 +PHE,5,-30.747950376059865 +PHE,6,4.988707578933258 +PRO,0,8.059137153259476 +PRO,1,0.0 +PRO,2,31.79309942143073 +PRO,3,-42.94704503012894 +PRO,4,21.099739388925595 +PRO,5,-3.982867900332487 +PRO,6,0.13888933356202715 +SER,0,14.05727930936467 +SER,1,0.0 +SER,2,7.647900181455087 +SER,3,-12.574941145347822 +SER,4,3.684037043046182 +SER,5,1.5047648090346444 +SER,6,-0.6239606098665743 +THR,0,12.967760333440639 +THR,1,0.0 +THR,2,22.939510196365646 +THR,3,-40.1269137705015 +THR,4,23.02482489533793 +THR,5,-4.594586191271366 +THR,6,0.09745190287314791 +TRP,0,15.550265578730231 +TRP,1,0.0 +TRP,2,3.8345051419382883 +TRP,3,-8.10915317671068 +TRP,4,10.1979733066048 +TRP,5,-6.175730606600176 +TRP,6,1.2946805948438511 +TYR,0,14.091388264842559 +TYR,1,0.0 +TYR,2,-15.296990379601986 +TYR,3,53.21143305660709 +TYR,4,-57.05962787532795 +TYR,5,24.85006239311008 +TYR,6,-3.8617835428573346 +VAL,0,6.989849861142642 +VAL,1,0.0 +VAL,2,45.207054405690215 +VAL,3,-73.12972511324685 +VAL,4,44.39618398908707 +VAL,5,-11.273280090656975 +VAL,6,0.9160064260116021 +H2O,0,9.998096755786294 +H2O,1,0.0 +H2O,2,-0.7939861642881193 +H2O,3,-0.4523851090473768 +H2O,4,0.5582058579362125 +H2O,5,-0.2293883781481107 +H2O,6,0.0364585916559163 diff --git a/assets/poly_atev.yaml b/assets/poly_atev.yaml new file mode 100644 index 0000000..4e5dff0 --- /dev/null +++ b/assets/poly_atev.yaml @@ -0,0 +1,383 @@ +# +# Amino acid beads with polynomial form factors converted from poly_atev.csv +# Coefficients preserve all significant digits from the CSV source. +# + +ALA: + { + radius: 3.1, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 8.9412587775497, + 0.0, + 16.011245238542376, + -16.521361728384683, + 1.2933025488574188, + 3.3398332086315183, + -0.9168303784888309, + ], + }, + } +ARG: + { + radius: 4.0, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 22.478400682753, + 0.0, + -76.88484987429919, + 191.960715944726, + -186.00003070019167, + 79.46368990494528, + -12.556750037517471, + ], + }, + } +ASN: + { + radius: 3.6, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 19.949489234412567, + 0.0, + 1.6179004991799801, + -23.728215923317965, + 28.038892792816576, + -12.386064402235293, + 1.929507607517487, + ], + }, + } +ASP: + { + radius: 3.6, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 21.142259115455996, + 0.0, + 0.8083841282589246, + -24.40440912470514, + 29.535430988379265, + -13.10651536410425, + 2.0372739416341537, + ], + }, + } +CYS: + { + radius: 3.6, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.4839740069889, + 0.0, + 8.812507883396963, + -30.642459459023264, + 29.917256325500603, + -11.91425779442574, + 1.7004706037089043, + ], + }, + } +GLN: + { + radius: 3.8, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 19.097505523941596, + 0.0, + -19.519311966958725, + 29.194793659203825, + -15.60297797159053, + 2.294407640083047, + 0.22452643450605897, + ], + }, + } +GLU: + { + radius: 3.8, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 20.29129332390765, + 0.0, + -23.92960632234384, + 36.56322920155976, + -20.248077291844673, + 3.4846151692772582, + 0.13148709734953815, + ], + }, + } +GLY: + { + radius: 2.9, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 10.03054111756488, + 0.0, + 3.8546967228919082, + 0.6218935555757745, + -6.5173118334370725, + 4.059828931486872, + -0.7342810687571033, + ], + }, + } +HIS: + { + radius: 3.9, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 21.426981638952395, + 0.0, + -6.545087786844122, + -9.218917681779088, + 22.48808820296215, + -13.636405717258942, + 2.629730298621099, + ], + }, + } +ILE: + { + radius: 3.6, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 6.131903689507308, + 0.0, + 62.44603934058318, + -116.50937229150081, + 87.22722909579876, + -29.91871615622492, + 3.903617299464, + ], + }, + } +LEU: + { + radius: 3.6, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 6.138681021896375, + 0.0, + 66.35117435927073, + -136.95291635172444, + 116.85417275098094, + -46.21315581361594, + 6.954197879918763, + ], + }, + } +LYS: + { + radius: 3.7, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 10.255435432063244, + 0.0, + -2.79528412490785, + 31.003997628409078, + -38.481099323214984, + 17.32696941435372, + -2.7042988301136206, + ], + }, + } +MET: + { + radius: 3.8, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 16.6012526530535, + 0.0, + 4.275077970411341, + -15.258361897925777, + 22.823327775070062, + -13.770397262025778, + 2.7981498950550945, + ], + }, + } +PHE: + { + radius: 3.9, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 9.071122674364272, + 0.0, + 39.79943933556812, + -81.30297163776913, + 72.46058503731058, + -30.747950376059865, + 4.988707578933258, + ], + }, + } +PRO: + { + radius: 3.4, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 8.059137153259476, + 0.0, + 31.79309942143073, + -42.94704503012894, + 21.099739388925595, + -3.982867900332487, + 0.13888933356202715, + ], + }, + } +SER: + { + radius: 3.3, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 14.05727930936467, + 0.0, + 7.647900181455087, + -12.574941145347822, + 3.684037043046182, + 1.5047648090346444, + -0.6239606098665743, + ], + }, + } +THR: + { + radius: 3.5, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 12.967760333440639, + 0.0, + 22.939510196365646, + -40.1269137705015, + 23.02482489533793, + -4.594586191271366, + 0.09745190287314791, + ], + }, + } +TRP: + { + radius: 4.3, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 15.550265578730231, + 0.0, + 3.8345051419382883, + -8.10915317671068, + 10.1979733066048, + -6.175730606600176, + 1.2946805948438511, + ], + }, + } +TYR: + { + radius: 4.1, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 14.091388264842559, + 0.0, + -15.296990379601986, + 53.21143305660709, + -57.05962787532795, + 24.85006239311008, + -3.8617835428573346, + ], + }, + } +VAL: + { + radius: 3.4, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 6.989849861142642, + 0.0, + 45.207054405690215, + -73.12972511324685, + 44.39618398908707, + -11.273280090656975, + 0.9160064260116021, + ], + }, + } +H2O: + { + radius: 1.92757, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 9.998096755786294, + 0.0, + -0.7939861642881193, + -0.4523851090473768, + 0.5582058579362125, + -0.2293883781481107, + 0.0364585916559163, + ], + }, + } diff --git a/assets/poly_atomic.yaml b/assets/poly_atomic.yaml new file mode 100644 index 0000000..c3c4c3d --- /dev/null +++ b/assets/poly_atomic.yaml @@ -0,0 +1,408 @@ +# +# Amino acid beads with polynomial form factors converted from poly_at2.csv +# Coefficients preserve all significant digits from the CSV source. +# + +ALA: + { + radius: 3.1, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 37.98651145079954, + 0.0, + -17.88881261159881, + -3.1097731825829333, + 8.846459092736989, + -2.3572911188270753, + 0.05331786541354333, + ], + }, + } +ARG: + { + radius: 4.0, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 83.96908927242093, + 0.0, + -278.81910994314467, + 490.5059319443547, + -383.9755997417938, + 143.65451627028935, + -20.783481179736413, + ], + }, + } +ASN: + { + radius: 3.6, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 59.98205560472268, + 0.0, + -40.54214890095476, + -32.39953367060282, + 73.4159357342896, + -37.17064504604371, + 6.101333446616579, + ], + }, + } +ASP: + { + radius: 3.6, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 59.98252699985404, + 0.0, + -37.42179690845112, + -37.97031252961563, + 77.22160318216388, + -38.25436485287656, + 6.198643717045879, + ], + }, + } +CYS: + { + radius: 3.6, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 53.98471591625841, + 0.0, + -28.55463591537983, + -34.95759123047967, + 63.496177867671385, + -29.839780719449596, + 4.609281628955767, + ], + }, + } +GLN: + { + radius: 3.8, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 68.00029704612041, + 0.0, + -97.52724702286758, + 63.863879205326334, + 13.865971310987792, + -22.96589467520148, + 5.296934807386833, + ], + }, + } +GLU: + { + radius: 3.8, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 68.00262098772043, + 0.0, + -95.50455833177392, + 59.449715597229726, + 18.625430344038303, + -25.334425917186397, + 5.722041637792017, + ], + }, + } +GLY: + { + radius: 2.9, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 29.99006405529222, + 0.0, + -11.572242769967232, + -0.9021293993630419, + 3.790951509543525, + -0.7238332866526376, + -0.05549468364095844, + ], + }, + } +HIS: + { + radius: 3.9, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 71.99289906060545, + 0.0, + -93.58672742143521, + 41.460338892548805, + 39.724339660983915, + -34.41529003289915, + 7.057596750057414, + ], + }, + } +ILE: + { + radius: 3.6, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 61.97933054508859, + 0.0, + -45.55749645626756, + -26.94147636420316, + 68.41091746940783, + -34.307325839550984, + 5.508363044131372, + ], + }, + } +LEU: + { + radius: 3.6, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 61.9874112464829, + 0.0, + -54.07829774966109, + -19.672724727921118, + 75.75933357599484, + -42.87909415253206, + 7.580643479500708, + ], + }, + } +LYS: + { + radius: 3.7, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 69.99129116923348, + 0.0, + -177.94423757968704, + 272.0256856055207, + -188.2920973172914, + 63.303038257186586, + -8.32612812430321, + ], + }, + } +MET: + { + radius: 3.8, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 70.00691278772638, + 0.0, + -104.22345654704631, + 73.82601789465483, + 10.126507627913185, + -23.351946238697035, + 5.598503080281802, + ], + }, + } +PHE: + { + radius: 3.9, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 77.99863587497389, + 0.0, + -135.30506501839736, + 122.61728717372222, + -26.829761151876106, + -9.267313845762843, + 3.479368368324131, + ], + }, + } +PRO: + { + radius: 3.4, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 52.98008056903471, + 0.0, + -28.025579140605455, + -17.945632640349288, + 36.70484993598286, + -16.388585233440434, + 2.3759607129713807, + ], + }, + } +SER: + { + radius: 3.3, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 45.98433274188738, + 0.0, + -23.004358312306444, + -13.52528557404974, + 25.318714967455264, + -9.60754708227119, + 1.0838180112873488, + ], + }, + } +THR: + { + radius: 3.5, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 53.98079904257712, + 0.0, + -30.205614210054552, + -20.68857584136233, + 39.80321996161699, + -16.614363714862087, + 2.188488144363049, + ], + }, + } +TRP: + { + radius: 4.3, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 98.00026950327825, + 0.0, + -239.82185506986724, + 306.5877727946093, + -164.7189974469082, + 39.67855896479587, + -3.263270784166963, + ], + }, + } +TYR: + { + radius: 4.1, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 85.99025648157047, + 0.0, + -205.8271529828311, + 282.4197901545501, + -174.14171820412088, + 52.3398359916699, + -6.16839805508144, + ], + }, + } +VAL: + { + radius: 3.4, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 53.97802539665846, + 0.0, + -30.730380715977926, + -23.1259991191962, + 43.982242401804015, + -18.76619704074442, + 2.5506887609142446, + ], + }, + } + +H: + { + radius: 1.06893, + ff: + !Gaussian { + qrange: [0.0, 6.0], + ab: + [ + [0.493002, 10.5109], + [0.322912, 26.1257], + [0.140191, 3.14236], + [0.04081, 6.14236], + [0, 57.7997], + ], + c: 0.003038, + }, + } +H2O: + { + radius: 1.92757, + ff: !United { center: O, orbit: [[H, 0.9584, 2]] }, + } + +# Oxygen +O: + { + radius: 1.3, + ff: + !Gaussian { + qrange: [0.0, 6.0], + ab: + [ + [2.960427, 14.182259], + [2.508818, 5.936858], + [0.637853, 0.112726], + [0.722838, 34.958481], + [1.142756, 0.39024], + ], + c: 0.027014, + }, + } + diff --git a/assets/poly_excl.csv b/assets/poly_excl.csv new file mode 100644 index 0000000..064d174 --- /dev/null +++ b/assets/poly_excl.csv @@ -0,0 +1,141 @@ +Restype,Coefficient Index,Value +ALA,0,29.045092626980807 +ALA,1,0.0 +ALA,2,-26.82743171578708 +ALA,3,-1.9310977148566097 +ALA,4,20.168431250949013 +ALA,5,-10.337343031318388 +ALA,6,1.6129945355732858 +ARG,0,61.48590421009381 +ARG,1,0.0 +ARG,2,-182.19421922046388 +ARG,3,254.9995877714297 +ARG,4,-162.0053689458599 +ARG,5,51.021483900322494 +ARG,6,-6.424772180212159 +ASN,0,40.032910229163015 +ASN,1,0.0 +ASN,2,-43.419271616917506 +ASN,3,-2.5096331414436257 +ASN,4,37.78025696960391 +ASN,5,-21.16604652006109 +ASN,6,3.5704626997326017 +ASP,0,38.84073261635539 +ASP,1,0.0 +ASP,2,-39.80757800147463 +ASP,3,-6.1050880975993564 +ASP,4,38.584033668906045 +ASP,5,-20.838504513678572 +ASP,6,3.448422193736537 +CYS,0,35.50267070799075 +CYS,1,0.0 +CYS,2,-39.09278093395425 +CYS,3,1.6989104594187223 +CYS,4,28.01870291638898 +CYS,5,-15.980070618028627 +CYS,6,2.685602905744272 +GLN,0,48.898600541821935 +GLN,1,0.0 +GLN,2,-77.65395265978444 +GLN,3,40.54946712843443 +GLN,4,18.936705440015086 +GLN,5,-19.2453476844495 +GLN,6,3.940784263263467 +GLU,0,47.70649459960143 +GLU,1,0.0 +GLU,2,-72.13383592347742 +GLU,3,32.19791380532419 +GLU,4,24.30930931866937 +GLU,5,-20.876834470726052 +GLU,6,4.131360684537825 +GLY,0,19.95957354188481 +GLY,1,0.0 +GLY,2,-14.596710882003759 +GLY,3,-2.4650485889412432 +GLY,4,10.550404760378463 +GLY,5,-4.733006480429002 +GLY,6,0.658871566636229 +HIS,0,50.56476709188372 +HIS,1,0.0 +HIS,2,-88.00858173319708 +HIS,3,57.29648278061343 +HIS,4,8.364968725388358 +HIS,5,-16.350312366132616 +HIS,6,3.664942297923531 +ILE,0,55.85191850939976 +ILE,1,0.0 +ILE,2,-81.76824367344963 +ILE,3,25.9718149641765 +ILE,4,39.09563612134737 +ILE,5,-27.79407667749436 +ILE,6,5.140594587619425 +LEU,0,55.85500702439895 +LEU,1,0.0 +LEU,2,-90.05823613360623 +LEU,3,42.779271367948105 +LEU,4,27.425314570778514 +LEU,5,-24.599500988549345 +LEU,6,4.878915346497919 +LYS,0,59.73734011424962 +LYS,1,0.0 +LYS,2,-152.78437269984616 +LYS,3,187.93704583787604 +LYS,4,-102.44089786274051 +LYS,5,27.188377002036162 +LYS,6,-2.8320376302376786 +MET,0,53.406398181964576 +MET,1,0.0 +MET,2,-110.88151801680236 +MET,3,100.05649928313625 +MET,4,-25.69528079121111 +MET,5,-3.5675976163339627 +MET,6,1.822892341875317 +PHE,0,68.93257004637968 +PHE,1,0.0 +PHE,2,-147.5670650614922 +PHE,3,137.54078929479533 +PHE,4,-39.12160207012098 +PHE,5,-2.753466411358474 +PHE,6,2.1427403561631735 +PRO,0,44.92171507351757 +PRO,1,0.0 +PRO,2,-48.596196051735205 +PRO,3,-0.8750372245099269 +PRO,4,38.16601448085936 +PRO,5,-21.187997828228426 +PRO,6,3.5216456896403727 +SER,0,31.92723070377774 +SER,1,0.0 +SER,2,-28.914290210798498 +SER,3,-4.307301992955933 +SER,4,24.346605792144324 +SER,5,-12.176757238126978 +SER,6,1.8734369740555579 +THR,0,41.01359917184679 +THR,1,0.0 +THR,2,-45.25975736862446 +THR,3,1.4176217981309085 +THR,4,32.5646045063437 +THR,5,-18.24370055421664 +THR,6,3.0168424658285318 +TRP,0,82.45226706960327 +TRP,1,0.0 +TRP,2,-230.05660099986292 +TRP,3,285.0669179531113 +TRP,4,-150.2872276282459 +TRP,5,36.63321998268637 +TRP,6,-3.2505031840496486 +TYR,0,71.89594546951952 +TYR,1,0.0 +TYR,2,-171.88553159706834 +TYR,3,188.12775195681272 +TYR,4,-82.8899246910726 +TYR,5,14.785221706872576 +TYR,6,-0.5321832521390917 +VAL,0,46.99003082374464 +VAL,1,0.0 +VAL,2,-56.3441569003358 +VAL,3,3.611267423393473 +VAL,4,40.951469982336846 +VAL,5,-23.894973751496867 +VAL,6,4.06986224970413 diff --git a/assets/poly_excl.yaml b/assets/poly_excl.yaml new file mode 100644 index 0000000..4f59cd9 --- /dev/null +++ b/assets/poly_excl.yaml @@ -0,0 +1,365 @@ +# +# Amino acid beads with polynomial form factors converted from poly_excl.csv +# Coefficients preserve all significant digits from the CSV source. +# + +ALA: + { + radius: 3.1, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 29.045092626980807, + 0.0, + -26.82743171578708, + -1.9310977148566097, + 20.168431250949013, + -10.337343031318388, + 1.6129945355732858, + ], + }, + } +ARG: + { + radius: 4.0, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 61.48590421009381, + 0.0, + -182.19421922046388, + 254.9995877714297, + -162.0053689458599, + 51.021483900322494, + -6.424772180212159, + ], + }, + } +ASN: + { + radius: 3.6, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 40.032910229163015, + 0.0, + -43.419271616917506, + -2.5096331414436257, + 37.78025696960391, + -21.16604652006109, + 3.5704626997326017, + ], + }, + } +ASP: + { + radius: 3.6, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 38.84073261635539, + 0.0, + -39.80757800147463, + -6.1050880975993564, + 38.584033668906045, + -20.838504513678572, + 3.448422193736537, + ], + }, + } +CYS: + { + radius: 3.6, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 35.50267070799075, + 0.0, + -39.09278093395425, + 1.6989104594187223, + 28.01870291638898, + -15.980070618028627, + 2.685602905744272, + ], + }, + } +GLN: + { + radius: 3.8, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 48.898600541821935, + 0.0, + -77.65395265978444, + 40.54946712843443, + 18.936705440015086, + -19.2453476844495, + 3.940784263263467, + ], + }, + } +GLU: + { + radius: 3.8, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 47.70649459960143, + 0.0, + -72.13383592347742, + 32.19791380532419, + 24.30930931866937, + -20.876834470726052, + 4.131360684537825, + ], + }, + } +GLY: + { + radius: 2.9, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 19.95957354188481, + 0.0, + -14.596710882003759, + -2.4650485889412432, + 10.550404760378463, + -4.733006480429002, + 0.658871566636229, + ], + }, + } +HIS: + { + radius: 3.9, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 50.56476709188372, + 0.0, + -88.00858173319708, + 57.29648278061343, + 8.364968725388358, + -16.350312366132616, + 3.664942297923531, + ], + }, + } +ILE: + { + radius: 3.6, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 55.85191850939976, + 0.0, + -81.76824367344963, + 25.9718149641765, + 39.09563612134737, + -27.79407667749436, + 5.140594587619425, + ], + }, + } +LEU: + { + radius: 3.6, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 55.85500702439895, + 0.0, + -90.05823613360623, + 42.779271367948105, + 27.425314570778514, + -24.599500988549345, + 4.878915346497919, + ], + }, + } +LYS: + { + radius: 3.7, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 59.73734011424962, + 0.0, + -152.78437269984616, + 187.93704583787604, + -102.44089786274051, + 27.188377002036162, + -2.8320376302376786, + ], + }, + } +MET: + { + radius: 3.8, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 53.406398181964576, + 0.0, + -110.88151801680236, + 100.05649928313625, + -25.69528079121111, + -3.5675976163339627, + 1.822892341875317, + ], + }, + } +PHE: + { + radius: 3.9, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 68.93257004637968, + 0.0, + -147.5670650614922, + 137.54078929479533, + -39.12160207012098, + -2.753466411358474, + 2.1427403561631735, + ], + }, + } +PRO: + { + radius: 3.4, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 44.92171507351757, + 0.0, + -48.596196051735205, + -0.8750372245099269, + 38.16601448085936, + -21.187997828228426, + 3.5216456896403727, + ], + }, + } +SER: + { + radius: 3.3, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 31.92723070377774, + 0.0, + -28.914290210798498, + -4.307301992955933, + 24.346605792144324, + -12.176757238126978, + 1.8734369740555579, + ], + }, + } +THR: + { + radius: 3.5, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 41.01359917184679, + 0.0, + -45.25975736862446, + 1.4176217981309085, + 32.5646045063437, + -18.24370055421664, + 3.0168424658285318, + ], + }, + } +TRP: + { + radius: 4.3, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 82.45226706960327, + 0.0, + -230.05660099986292, + 285.0669179531113, + -150.2872276282459, + 36.63321998268637, + -3.2505031840496486, + ], + }, + } +TYR: + { + radius: 4.1, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 71.89594546951952, + 0.0, + -171.88553159706834, + 188.12775195681272, + -82.8899246910726, + 14.785221706872576, + -0.5321832521390917, + ], + }, + } +VAL: + { + radius: 3.4, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 46.99003082374464, + 0.0, + -56.3441569003358, + 3.611267423393473, + 40.951469982336846, + -23.894973751496867, + 4.06986224970413, + ], + }, + } diff --git a/assets/poly_martini_atev.csv b/assets/poly_martini_atev.csv new file mode 100644 index 0000000..85c77a3 --- /dev/null +++ b/assets/poly_martini_atev.csv @@ -0,0 +1,365 @@ +Restype,Bead,Coefficient Index,Value +ALA,SC1,0,-1.7010874177132265 +ALA,SC1,1,0.0 +ALA,SC1,2,7.118764019567526 +ALA,SC1,3,1.1145464157804394 +ALA,SC1,4,-5.950013175357564 +ALA,SC1,5,2.8714126567294755 +ALA,SC1,6,-0.42838104934301313 +ALA,BB,0,10.643806846255465 +ALA,BB,1,0.0 +ALA,BB,2,2.0616371683115733 +ALA,BB,3,0.7872168906775016 +ALA,BB,4,-5.080460379455372 +ALA,BB,5,3.222662883174488 +ALA,BB,6,-0.5960016057238122 +ARG,SC1,0,-2.582459965203611 +ARG,SC1,1,0.0 +ARG,SC1,2,16.093491676712716 +ARG,SC1,3,1.1997535742302685 +ARG,SC1,4,-15.212231100907612 +ARG,SC1,5,8.324901545777502 +ARG,SC1,6,-1.3612064124992838 +ARG,SC2,0,14.428248841779087 +ARG,SC2,1,0.0 +ARG,SC2,2,-0.5306373105617507 +ARG,SC2,3,1.6708928597353037 +ARG,SC2,4,-4.220821223435202 +ARG,SC2,5,2.340601736383018 +ARG,SC2,6,-0.3836111601465304 +ARG,BB,0,10.64380122599819 +ARG,BB,1,0.0 +ARG,BB,2,2.061637183212542 +ARG,BB,3,0.7872187072333622 +ARG,BB,4,-5.080459366793695 +ARG,BB,5,3.2226607845095225 +ARG,BB,6,-0.5960010250566496 +ASN,SC1,0,9.305752980758708 +ASN,SC1,1,0.0 +ASN,SC1,2,8.028095134281596 +ASN,SC1,3,-2.3099183822637563 +ASN,SC1,4,-6.632212819638959 +ASN,SC1,5,4.4228155805014255 +ASN,SC1,6,-0.7764062905424147 +ASN,BB,0,10.64380637290148 +ASN,BB,1,0.0 +ASN,BB,2,2.0616383733664607 +ASN,BB,3,0.7872206653851905 +ASN,BB,4,-5.080466495994918 +ASN,BB,5,3.2226654178553917 +ASN,BB,6,-0.5960019074982035 +ASP,SC1,0,10.498866776432472 +ASP,SC1,1,0.0 +ASP,SC1,2,7.536374464512118 +ASP,SC1,3,-2.8556236565791147 +ASP,SC1,4,-5.4787540182953105 +ASP,SC1,5,3.815664106474512 +ASP,SC1,6,-0.67328443867979 +ASP,BB,0,10.643806310047486 +ASP,BB,1,0.0 +ASP,BB,2,2.06163743145317 +ASP,BB,3,0.787217929242442 +ASP,BB,4,-5.080461918557475 +ASP,BB,5,3.222663478750303 +ASP,BB,6,-0.5960016686083391 +CYS,SC1,0,7.84213323319376 +CYS,SC1,1,0.0 +CYS,SC1,2,9.953170739451108 +CYS,SC1,3,-1.2903802262350998 +CYS,SC1,4,-7.207970655489376 +CYS,SC1,5,4.191794051784442 +CYS,SC1,6,-0.688509627116269 +CYS,BB,0,10.643806815155962 +CYS,BB,1,0.0 +CYS,BB,2,2.0616371622877585 +CYS,BB,3,0.7872168883774691 +CYS,BB,4,-5.080460364611164 +CYS,BB,5,3.222662873758418 +CYS,BB,6,-0.5960016039823965 +GLN,SC1,0,8.444221071382211 +GLN,SC1,1,0.0 +GLN,SC1,2,17.678600522511136 +GLN,SC1,3,-15.30698404588629 +GLN,SC1,4,-1.7525725905064409 +GLN,SC1,5,4.726896859211768 +GLN,SC1,6,-1.1004371797545023 +GLN,BB,0,10.643801955137343 +GLN,BB,1,0.0 +GLN,BB,2,2.061635484428877 +GLN,BB,3,0.7872153749124453 +GLN,BB,4,-5.080458169900939 +GLN,BB,5,3.2226625571952128 +GLN,BB,6,-0.5960016907141563 +GLU,SC1,0,9.637509830770533 +GLU,SC1,1,0.0 +GLU,SC1,2,16.9079134467359 +GLU,SC1,3,-14.850360181614349 +GLU,SC1,4,-1.4743561994477412 +GLU,SC1,5,4.367483853252233 +GLU,SC1,6,-1.011774253849401 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+TYR,SC1,6,-0.4205709369357118 +VAL,SC1,0,-3.650489697568667 +VAL,SC1,1,0.0 +VAL,SC1,2,20.152880104569256 +VAL,SC1,3,-1.3077717593059774 +VAL,SC1,4,-16.48666338249699 +VAL,SC1,5,9.710777748612122 +VAL,SC1,6,-1.654724631578258 +VAL,BB,0,10.643806849587198 +VAL,BB,1,0.0 +VAL,BB,2,2.061631159601996 +VAL,BB,3,0.7872024303709435 +VAL,BB,4,-5.080444479262741 +VAL,BB,5,3.2226600061868638 +VAL,BB,6,-0.5960019731764394 diff --git a/assets/poly_martini_atev.yaml b/assets/poly_martini_atev.yaml new file mode 100644 index 0000000..f52afbd --- /dev/null +++ b/assets/poly_martini_atev.yaml @@ -0,0 +1,960 @@ +# +# Martini amino acid bead form factors converted from poly_martini_atev.csv +# Coefficients preserve all significant digits from the CSV source. +# + +ALA_SC1: + { + radius: 1.60, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + -1.7010874177132265, + 0.0, + 7.118764019567526, + 1.1145464157804394, + -5.950013175357564, + 2.8714126567294755, + -0.42838104934301313, + ], + }, + } +ALA_BB: + { + radius: 2.15, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 10.643806846255465, + 0.0, + 2.0616371683115733, + 0.7872168906775016, + -5.080460379455372, + 3.222662883174488, + -0.5960016057238122, + ], + }, + } +ARG_SC1: + { + radius: 2.35, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + -2.582459965203611, + 0.0, + 16.093491676712716, + 1.1997535742302685, + -15.212231100907612, + 8.324901545777502, + -1.3612064124992838, + ], + }, + } +ARG_SC2: + { + radius: 2.15, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 14.428248841779087, + 0.0, + -0.5306373105617507, + 1.6708928597353037, + -4.220821223435202, + 2.340601736383018, + -0.3836111601465304, + ], + }, + } +ARG_BB: + { + radius: 2.35, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 10.64380122599819, + 0.0, + 2.061637183212542, + 0.7872187072333622, + -5.080459366793695, + 3.2226607845095225, + -0.5960010250566496, + ], + }, + } +ASN_SC1: + { + radius: 2.15, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 9.305752980758708, + 0.0, + 8.028095134281596, + -2.3099183822637563, + -6.632212819638959, + 4.4228155805014255, + -0.7764062905424147, + ], + }, + } +ASN_BB: + { + radius: 2.35, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 10.64380637290148, + 0.0, + 2.0616383733664607, + 0.7872206653851905, + -5.080466495994918, + 3.2226654178553917, + -0.5960019074982035, + ], + }, + } +ASP_SC1: + { + radius: 2.15, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 10.498866776432472, + 0.0, + 7.536374464512118, + -2.8556236565791147, + -5.4787540182953105, + 3.815664106474512, + -0.67328443867979, + ], + }, + } +ASP_BB: + { + radius: 2.35, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 10.643806310047486, + 0.0, + 2.06163743145317, + 0.787217929242442, + -5.080461918557475, + 3.222663478750303, + -0.5960016686083391, + ], + }, + } +CYS_SC1: + { + radius: 1.60, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 7.84213323319376, + 0.0, + 9.953170739451108, + -1.2903802262350998, + -7.207970655489376, + 4.191794051784442, + -0.688509627116269, + ], + }, + } +CYS_BB: + { + radius: 2.35, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 10.643806815155962, + 0.0, + 2.0616371622877585, + 0.7872168883774691, + -5.080460364611164, + 3.222662873758418, + -0.5960016039823965, + ], + }, + } +GLN_SC1: + { + radius: 2.35, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 8.444221071382211, + 0.0, + 17.678600522511136, + -15.30698404588629, + -1.7525725905064409, + 4.726896859211768, + -1.1004371797545023, + ], + }, + } +GLN_BB: + { + radius: 2.35, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 10.643801955137343, + 0.0, + 2.061635484428877, + 0.7872153749124453, + -5.080458169900939, + 3.2226625571952128, + -0.5960016907141563, + ], + }, + } +GLU_SC1: 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+TYR,SC2,2,-2.8990371084562585 +TYR,SC2,3,-0.13787583272928067 +TYR,SC2,4,0.6037240160873247 +TYR,SC2,5,-0.15205219922141855 +TYR,SC2,6,0.01038187289610315 +VAL,BB,0,28.990073257016654 +VAL,BB,1,0.0 +VAL,BB,2,-11.177244783082557 +VAL,BB,3,-1.0412521764512814 +VAL,BB,4,3.8967739745133203 +VAL,BB,5,-0.7834277179007483 +VAL,BB,6,-0.046206644911707784 +VAL,SC1,0,24.991194728711864 +VAL,SC1,1,0.0 +VAL,SC1,2,-8.636522596044513 +VAL,SC1,3,-0.7939039423845906 +VAL,SC1,4,3.049422594656841 +VAL,SC1,5,-0.8937444909933858 +VAL,SC1,6,0.06396455882684471 diff --git a/assets/poly_martini_atomic.yaml b/assets/poly_martini_atomic.yaml new file mode 100644 index 0000000..7c24776 --- /dev/null +++ b/assets/poly_martini_atomic.yaml @@ -0,0 +1,961 @@ +# +# Martini amino acid bead form factors converted from poly_martini_atomic.csv +# Coefficients preserve all significant digits from the CSV source. +# + +ALA_BB: + { + radius: 2.15, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 28.990073241622685, + 0.0, + -11.177229580969742, + -1.041230707343862, + 3.896739025786083, + -0.7834153923743044, + -0.04620768581327894, + ], + }, + } +ALA_SC1: + { + radius: 1.60, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 8.997053946180342, + 0.0, + -1.2886607141923, + -0.03638825162057108, + 0.18489963241121238, + -0.03832455871722429, + 0.001697258570267035, + ], + }, + } +ARG_BB: + { + radius: 2.35, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 28.990057932554322, + 0.0, + -11.177220266838871, + -1.041226092258199, + 3.8967303202452412, + -0.7834128682023218, + -0.046207777496121594, + ], + }, + } +ARG_SC1: + { + radius: 2.35, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 23.99124831405302, + 0.0, + -7.981156485181654, + -0.6776012702015644, + 2.6794596374711035, + -0.7861307512851896, + 0.05925499871152162, + ], + }, + } +ARG_SC2: + { + radius: 2.15, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 30.9866102992927, + 0.0, + -10.682450094635128, + 0.008438202667122363, + 2.0427827396789526, + -0.25410137316149406, + -0.04668533259884278, + ], + }, + } +ASN_BB: + { + radius: 2.35, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 28.990071951214787, + 0.0, + -11.17722797636191, + -1.0412240948996303, + 3.896728998077234, + -0.783411173548231, + -0.04620822231688848, + ], + }, + } +ASN_SC1: + { + radius: 2.15, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 30.990344046065342, + 0.0, + -10.962660759486624, + 0.10456553650170775, + 2.056126075783673, + -0.21514010046023557, + -0.06223668221858425, + ], + }, + } +ASP_BB: + { + radius: 2.35, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 28.99007178084968, + 0.0, + -11.177228704437532, + -1.041228796546678, + 3.896736040491519, + -0.7834141687596734, + -0.046207835907916106, + ], + }, + } +ASP_SC1: + { + radius: 2.15, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 30.992098589110185, + 0.0, + -10.388624352718955, + 0.01619143873102047, + 2.028404171579579, + -0.2863892747842236, + -0.036240526229072145, + ], + }, + } +CYS_BB: + { + radius: 2.35, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 28.990073156918307, + 0.0, + -11.177229548311658, + -1.0412307043014477, + 3.8967390144002354, + -0.783415390085171, + -0.04620768567828826, + ], + }, + } +CYS_SC1: + { + radius: 1.60, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 24.996653755827243, + 0.0, + -5.783163651245389, + -0.34532911042693604, + 1.5583861303737778, + -0.395775769141109, + 0.02112728069995473, + ], + }, + } +GLN_BB: + { + radius: 2.35, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 28.990059920988905, + 0.0, + -11.177227543485378, + -1.0412324358250165, + 3.8967410941018636, + -0.7834159587371587, + -0.04620770091923099, + ], + }, + } +GLN_SC1: + { + radius: 2.35, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 38.98694243630933, + 0.0, + -18.127497785188805, + -2.4049403928179895, + 8.490639757416263, + -2.581285024694723, + 0.1625753176249738, + ], + }, + } +GLU_BB: + { + radius: 2.35, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 28.99006767230987, + 0.0, + -11.177227433700672, + -1.041230507311932, + 3.8967382771794905, + -0.7834152418715368, + -0.046207676936278474, + ], + }, + } +GLU_SC1: + { + radius: 2.35, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 38.98880243324203, + 0.0, + -17.211766121026013, + -2.0435917639388985, + 7.475844591717269, + -2.185879453549897, + 0.12285238366868079, + ], + }, + } +GLY_BB: + { + radius: 2.15, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 29.99006405529222, + 0.0, + -11.572242769967232, + -0.9021293993630419, + 3.790951509543525, + -0.7238332866526376, + -0.05549468364095844, + ], + }, + } +HIS_SC3: + { + radius: 1.60, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 13.99350605270798, + 0.0, + -2.4791719733678708, + -0.088318161771684, + 0.4269151225115573, + -0.09443649275767085, + 0.004759206618358824, + ], + }, + } +HIS_BB: + { + radius: 2.35, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 28.990071589429462, + 0.0, + -11.177231205753834, + -1.0412319554395302, + 3.8967413104399258, + -0.7834160491918043, + -0.046207671026675, + ], + }, + } +HIS_SC1: + { + radius: 1.60, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 13.994291016418991, + 0.0, + -3.028487951456838, + -0.14227089967092343, + 0.6410484878050596, + -0.15945052729447862, + 0.010495122016798586, + ], + }, + } +HIS_SC2: + { + radius: 1.60, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 14.993457078294256, + 0.0, + -2.865434268994027, + -0.11480846937118006, + 0.5341642897063875, + -0.12399235365092554, + 0.007014314495974894, + ], + }, + } +ILE_BB: + { + radius: 2.35, + formfactor: + 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+TYR,SC4,2,-5.618233459648116 +TYR,SC4,3,-0.887165101997055 +TYR,SC4,4,3.2094249143101794 +TYR,SC4,5,-1.29820879142101 +TYR,SC4,6,0.16617073008406535 +TYR,BB,0,18.346290326727836 +TYR,BB,1,0.0 +TYR,BB,2,-12.65311624572839 +TYR,BB,3,-2.308840590411406 +TYR,BB,4,8.954244662772602 +TYR,BB,5,-3.9111982914906935 +TYR,BB,6,0.5316803443075067 +VAL,SC1,0,28.641691185690483 +VAL,SC1,1,0.0 +VAL,SC1,2,-28.745627186697078 +VAL,SC1,3,0.38955789952016406 +VAL,SC1,4,19.6553653540045 +VAL,SC1,5,-10.648342430540302 +VAL,SC1,6,1.7240229533400253 +VAL,BB,0,18.346290366849075 +VAL,BB,1,0.0 +VAL,BB,2,-12.653118950278962 +VAL,BB,3,-2.308841967187501 +VAL,BB,4,8.954249505039021 +VAL,BB,5,-3.911200811117064 +VAL,BB,6,0.5316807342435173 diff --git a/assets/poly_martini_excl.yaml b/assets/poly_martini_excl.yaml new file mode 100644 index 0000000..ef9b000 --- /dev/null +++ b/assets/poly_martini_excl.yaml @@ -0,0 +1,889 @@ +# +# Martini amino acid bead form factors converted from poly_martini_excl.csv +# Coefficients preserve all significant digits from the CSV source. +# + +ALA_SC1: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 10.698141363893551, + 0.0, + -8.407424733759692, + -1.1509346674012797, + 6.134912807768994, + -2.909737215446782, + 0.43007830791329216, + ], + }, + } +ALA_BB: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.346290353801106, + 0.0, + -12.653110158775076, + -2.3088373281225656, + 8.954234154392193, + -3.9111930639397396, + 0.5316795732834638, + ], + }, + } +ARG_SC1: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 26.57370827925664, + 0.0, + -24.074648161894537, + -1.8773548444314012, + 17.891690738378305, + -9.111032297062524, + 1.4204614112107805, + ], + }, + } +ARG_BB: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.34628066475686, + 0.0, + -12.653100979130562, + -2.308834999482381, + 8.954225197025604, + -3.911188786826493, + 0.5316789496911447, + ], + }, + } +ARG_SC2: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 16.558349927927022, + 0.0, + -10.110308343722142, + -1.7419473864471124, + 6.326611843898691, + -2.6167402172478047, + 0.33970388272167007, + ], + }, + } +ASN_SC1: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 21.68444839921201, + 0.0, + -16.25762072804848, + -2.614823820662462, + 12.115529477515912, + -5.657247538701338, + 0.8250347552739576, + ], + }, + } +ASN_BB: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.346289536445926, + 0.0, + -12.653108960488971, + -2.308836298059126, + 8.954231655952231, + -3.911191831367355, + 0.5316793871716143, + ], + }, + } +ASP_SC1: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 20.49302150929785, + 0.0, + -14.874769103785917, + -2.5095400224753144, + 10.978432485451618, + -5.058717212548089, + 0.7297381012833224, + ], + }, + } +ASP_BB: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.34628942914991, + 0.0, + -12.653109341464257, + -2.3088369493415066, + 8.954233108896743, + -3.9111925672904126, + 0.5316795005175585, + ], + }, + } +CYS_SC1: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 17.154500313414054, + 0.0, + -14.003800941571946, + -1.7231767719258033, + 10.372116536728607, + -5.035375744936971, + 0.7583983948929642, + ], + }, + } +CYS_BB: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.346290300196173, + 0.0, + -12.653110121804845, + -2.308837321376112, + 8.954234128228956, + -3.911193052511694, + 0.5316795717299563, + ], + }, + } +GLN_SC1: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 30.542658218167965, + 0.0, + -27.990663673108866, + -3.1662125223653206, + 22.645763560099766, + -11.566698336993642, + 1.8120175504358151, + ], + }, + } +GLN_BB: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.34628192440999, + 0.0, + -12.653106662862495, + -2.308837114186918, + 8.954233674535606, + -3.91119317891294, + 0.5316796258306677, + ], + }, + } +GLU_SC1: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 29.351084673668904, + 0.0, + -25.79707241472126, + -3.6799969167270383, + 21.17978423802722, + -10.576914242696471, + 1.6299464215900414, + ], + }, + } +GLU_BB: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.346286829276362, + 0.0, + -12.653107727973113, + -2.308836884569213, + 8.954232434184801, + -3.9111923125563077, + 0.5316794711419384, + ], + }, + } +GLY_BB: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 19.95957354188481, + 0.0, + -14.596710882003759, + -2.4650485889412432, + 10.550404760378463, + -4.733006480429002, + 0.658871566636229, + ], + }, + } +HIS_SC1: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 14.345367545374359, + 0.0, + -10.041758098778141, + -1.6294086394433904, + 7.065969229080364, + -3.2034582288702476, + 0.4563733476981673, + ], + }, + } +HIS_SC3: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 8.07611596649739, + 0.0, + -4.663773008486101, + -0.7207850675710777, + 2.7502459607915686, + -1.1351336933407574, + 0.1483622478653266, + ], + }, + } +HIS_BB: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.34628930847678, + 0.0, + -12.653110397161976, + -2.308837559646331, + 8.954234936431009, + -3.911193442324273, + 0.5316796236772365, + ], + }, + } +HIS_SC2: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 9.784850817395563, + 0.0, + -5.649503434447479, + -0.9237238134524006, + 3.406726588208722, + -1.4056551088084979, + 0.1828145400960235, + ], + }, + } +ILE_SC1: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 26.801065984189147, + 0.0, + -25.489008806703318, + -0.7562476346623122, + 18.155457341922748, + -9.555940609932325, + 1.5218581455445737, + ], + }, + } +ILE_BB: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.34628916112521, + 0.0, + -12.653109156612373, + -2.3088369156112667, + 8.954232978082535, + -3.911192510151001, + 0.5316794927501434, + ], + }, + } +LEU_SC1: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 37.49989463100606, + 0.0, + -39.736514656727834, + 0.16837451715235385, + 28.743714216600843, + -15.723931146131749, + 2.5670020512544163, + ], + }, + } +LEU_BB: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.34628926805233, + 0.0, + -12.653113776515932, + -2.3088399934396, + 8.954242155804467, + -3.911197162846981, + 0.5316801982204105, + ], + }, + } +LYS_SC1: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 26.573732811960003, + 0.0, + -24.217640132419316, + -1.824759487515795, + 18.00351593231975, + -9.194116103596835, + 1.4363060924989632, + ], + }, + } +LYS_BB: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.346285046930284, + 0.0, + -12.653106402936539, + -2.3088365203101664, + 8.95423124737095, + -3.9111917728361543, + 0.5316793949722012, + ], + }, + } +LYS_SC2: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 14.80629642090209, + 0.0, + -10.493282862526785, + -1.6719960107865846, + 7.409412495806956, + -3.3768304690757067, + 0.48329485259754, + ], + }, + } +MET_SC1: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 35.04924490936331, + 0.0, + -42.00553808495836, + 6.096999346214276, + 25.642206371771184, + -15.49081248877185, + 2.665658721047503, + ], + }, + } +MET_BB: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.346288799376623, + 0.0, + -12.653106218267808, + -2.3088354808811653, + 8.954227939254272, + -3.9111899020041183, + 0.5316790904311635, + ], + }, + } +PHE_SC1: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 28.834897681537683, + 0.0, + -25.808384353577637, + 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+ 1.378672508127277, + ], + }, + } +PRO_BB: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.346290353586337, + 0.0, + -12.653114345594446, + -2.3088398676344695, + 8.954242091413844, + -3.911197094742124, + 0.5316801837098986, + ], + }, + } +SER_SC1: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 13.580483266334372, + 0.0, + -9.168622912772925, + -1.5206505664923768, + 6.321334081308194, + -2.8223216362214902, + 0.3966119926566618, + ], + }, + } +SER_BB: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.34629023326118, + 0.0, + -12.653106028428423, + -2.3088354399422517, + 8.95422689126535, + -3.911189196441787, + 0.531678961809968, + ], + }, + } +THR_SC1: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 22.66562094068838, + 0.0, + -18.974719078086498, + -2.3551845350295606, + 14.462560939387238, + -7.108744029085711, + 1.0811106920410634, + ], + }, + } +THR_BB: + { + formfactor: + 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1.7240229533400253, + ], + }, + } +VAL_BB: + { + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.346290366849075, + 0.0, + -12.653118950278962, + -2.308841967187501, + 8.954249505039021, + -3.911200811117064, + 0.5316807342435173, + ], + }, + } diff --git a/pripps-py/examples/batch_sba_sasbdb.py b/pripps-py/examples/batch_sba_sasbdb.py new file mode 100644 index 0000000..dfbcf50 --- /dev/null +++ b/pripps-py/examples/batch_sba_sasbdb.py @@ -0,0 +1,249 @@ +#!/usr/bin/env python3 +"""Run the testing_sba.ipynb workflow over SASBDB cache entries. + +For each cache directory containing both: + - raw_cleaned.xyz + - exp.dat + +this script fits (volume_scale, contrast_density) with the same setup +as testing_sba.ipynb: + - atomfile: assets/poly_atomic.yaml + - excluded: polynomial (assets/poly_excl.yaml) + - hydration: disabled + - optimizer: L-BFGS-B with bounds [(0.95, 1.12), (-2.0, 4.0)] +""" + +from __future__ import annotations + +import argparse +import csv +from pathlib import Path + +import numpy as np +import pripps +from scipy.optimize import minimize + + +def load_exp_data(path: Path, qmax: float) -> tuple[np.ndarray, np.ndarray, np.ndarray]: + """Parse q, I, sigma from a loose 3-column SAXS file.""" + rows: list[tuple[float, float, float]] = [] + with path.open() as fh: + for line in fh: + stripped = line.strip() + if not stripped or stripped.startswith("#"): + continue + parts = stripped.split() + if len(parts) < 3: + continue + try: + q, i_exp, sigma = float(parts[0]), float(parts[1]), float(parts[2]) + except ValueError: + continue + if sigma <= 0.0 or q < 0.0 or q > qmax: + continue + rows.append((q, i_exp, sigma)) + + if not rows: + raise ValueError(f"no valid q/I/sigma rows found in {path}") + + data = np.array(rows, dtype=float) + return data[:, 0], data[:, 1], data[:, 2] + + +def weighted_scale(theory: np.ndarray, i_exp: np.ndarray, sigma: np.ndarray) -> float: + num = np.sum(theory * i_exp / sigma**2) + den = np.sum((theory / sigma) ** 2) + return float(num / den) + + +def fit_single( + pr: pripps.Pripps, + xyz_path: Path, + exp_path: Path, + excluded_atomfile: Path, + qmax: float, + nq: int, +) -> dict[str, float | np.ndarray]: + q_exp, i_exp, sigma = load_exp_data(exp_path, qmax=qmax) + + model = pr.multipole_model( + structure_file=str(xyz_path), + qmin=0.0, + qmax=qmax, + nq=nq, + excluded="polynomial", + excluded_atomfile=str(excluded_atomfile), + hydration="grid", + volume_scale=1.0, + probe=1.8, + contrast_density=0.03, + bulk_electron_density=0.334, + ) + + def chi2(params: np.ndarray) -> float: + c1, c2 = float(params[0]), float(params[1]) + out = model.intensity(volume_scale=c1, contrast_density=c2) + theory = np.interp(q_exp, out["q"], out["total"]) + scale = weighted_scale(theory, i_exp, sigma) + return float(np.sum(((scale * theory - i_exp) / sigma) ** 2) / len(q_exp)) + + result = minimize( + chi2, + x0=[1.0, 0.2], + bounds=[(-1.5, 2.0), (-2.0, 4.0)], + method="L-BFGS-B", + ) + + c1_opt, c2_opt = float(result.x[0]), float(result.x[1]) + out = model.intensity(volume_scale=c1_opt, contrast_density=c2_opt) + theory_interp = np.interp(q_exp, out["q"], out["total"]) + scale = weighted_scale(theory_interp, i_exp, sigma) + i_fit = scale * theory_interp + + return { + "c1": c1_opt, + "c2": c2_opt, + "chi2": float(result.fun), + "scale": scale, + "q_exp": q_exp, + "i_exp": i_exp, + "sigma": sigma, + "i_fit": i_fit, + } + + +def main() -> None: + repo_root = Path(__file__).resolve().parents[2] + + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument( + "--cache-dir", + type=Path, + default=repo_root / "sasbdb_bench" / "cache", + help="Directory with SASBDB entry subdirectories (default: %(default)s)", + ) + parser.add_argument( + "--atomfile", + type=Path, + default=repo_root / "assets" / "poly_martini_atomic.yaml", + help="Form-factor YAML for Pripps(atomfile=...)", + ) + parser.add_argument( + "--excluded-atomfile", + type=Path, + default=repo_root / "assets" / "poly_martini_excl.yaml", + help="Polynomial excluded-volume YAML", + ) + parser.add_argument( + "--qmax", + type=float, + default=0.5, + help="Upper q limit (Å^-1) used for both model and data filtering", + ) + parser.add_argument( + "--nq", + type=int, + default=500, + help="Number of q points in multipole model", + ) + parser.add_argument( + "--only", + nargs="*", + default=None, + help="Optional list of SASBDB IDs to process", + ) + parser.add_argument( + "--summary-csv", + type=Path, + default=None, + help="Optional output path for summary CSV (default: /sba_summary.csv)", + ) + args = parser.parse_args() + + cache_dir = args.cache_dir.resolve() + summary_csv = args.summary_csv or (cache_dir / "sba_summary_martini.csv") + + pr = pripps.Pripps(atomfile=str(args.atomfile)) + + entries = sorted(d for d in cache_dir.iterdir() if d.is_dir()) + if args.only: + keep = set(args.only) + entries = [d for d in entries if d.name in keep] + + summary_rows: list[dict[str, str | float | int]] = [] + + for entry in entries: + sid = entry.name + xyz_path = entry / "raw_cleaned_martini3_aa.pdb" + exp_path = entry / "exp.dat" + if not xyz_path.is_file() or not exp_path.is_file(): + continue + + try: + fit = fit_single( + pr=pr, + xyz_path=xyz_path, + exp_path=exp_path, + excluded_atomfile=args.excluded_atomfile, + qmax=float(args.qmax), + nq=int(args.nq), + ) + except Exception as exc: + print(f"{sid}: FAILED ({exc})") + continue + + fit_csv = entry / "sba_fit_martini.csv" + np.savetxt( + fit_csv, + np.column_stack([fit["q_exp"], fit["i_exp"], fit["i_fit"], fit["sigma"]]), + delimiter=",", + header="q,i_exp,i_fit,sigma", + comments="", + ) + + print( + f"{sid}: c1={fit['c1']:.4f}, c2={fit['c2']:.4f}, " + f"chi2/N={fit['chi2']:.4f}, n={len(fit['q_exp'])}" + ) + + summary_rows.append( + { + "sid": sid, + "c1": fit["c1"], + "c2": fit["c2"], + "chi2_per_point": fit["chi2"], + "scale": fit["scale"], + "n_points": len(fit["q_exp"]), + "xyz_file": str(xyz_path), + "exp_file": str(exp_path), + "fit_csv": str(fit_csv), + } + ) + + if not summary_rows: + raise SystemExit("No datasets were processed.") + + summary_csv.parent.mkdir(parents=True, exist_ok=True) + with summary_csv.open("w", newline="") as fh: + writer = csv.DictWriter( + fh, + fieldnames=[ + "sid", + "c1", + "c2", + "chi2_per_point", + "scale", + "n_points", + "xyz_file", + "exp_file", + "fit_csv", + ], + ) + writer.writeheader() + writer.writerows(summary_rows) + + print(f"Wrote summary: {summary_csv}") + + +if __name__ == "__main__": + main() diff --git a/pripps-py/examples/testing_sasbdb.ipynb b/pripps-py/examples/testing_sasbdb.ipynb new file mode 100644 index 0000000..aeceb74 --- /dev/null +++ b/pripps-py/examples/testing_sasbdb.ipynb @@ -0,0 +1,497 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "ce49d41d", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pripps\n", + "from scipy.optimize import minimize\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 136, + "id": "abb487c6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n", + "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n", + "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n", + "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n", + "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n", + "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n", + "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n", + "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n", + "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n", + "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n", + "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n", + "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n", + "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n", + "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n", + "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n", + "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n", + "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from pathlib import Path\n", + "import math\n", + "import pandas as pd\n", + "\n", + "base_dir = Path(\"../../sasbdb_bench/cache\")\n", + "csv_files = sorted(base_dir.glob(\"*/sba_fit_martini.csv\"))\n", + "\n", + "if not csv_files:\n", + " raise FileNotFoundError(f\"No matching files found under: {base_dir.resolve()}\")\n", + "\n", + "n = len(csv_files)\n", + "ncols = 2\n", + "nrows = math.ceil(n / ncols)\n", + "\n", + "fig, axes = plt.subplots(nrows, ncols, figsize=(14, 4 * nrows), squeeze=False)\n", + "axes = axes.ravel()\n", + "\n", + "for ax, csv_path in zip(axes, csv_files):\n", + " df = pd.read_csv(csv_path)\n", + " num_df = df.select_dtypes(include=[np.number])\n", + " print(num_df.columns)\n", + " if num_df.shape[1] < 2:\n", + " ax.set_title(csv_path.parent.name)\n", + " ax.text(0.5, 0.5, \"Not enough numeric columns to plot\", ha=\"center\", va=\"center\")\n", + " ax.axis(\"off\")\n", + " continue\n", + "\n", + " x = num_df.iloc[:, 0]\n", + " for col in num_df.columns[1:-2]: # Exclude last two columns (i_fit and sigma)\n", + " ax.plot(x, num_df[col], label=col)\n", + " ax.plot(x, num_df[\"i_fit\"], label=\"i_fit\", linestyle=\"--\")\n", + "\n", + " ax.set_title(csv_path.parent.name)\n", + " ax.set_xlabel(num_df.columns[0])\n", + " ax.set_ylabel(\"I(q)\")\n", + " ax.grid(True, alpha=0.3)\n", + " ax.set_yscale(\"log\")\n", + " ax.legend(fontsize=8)\n", + "\n", + "for ax in axes[len(csv_files):]:\n", + " ax.axis(\"off\")\n", + "\n", + "plt.tight_layout()\n", + "plt.savefig(base_dir / \"sba_fits_grid.pdf\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 127, + "id": "5fd4c741", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[PosixPath('../../sasbdb_bench/cache/SASDAW3/sba_fit_grid.csv'), PosixPath('../../sasbdb_bench/cache/SASDJG5/sba_fit_grid.csv'), PosixPath('../../sasbdb_bench/cache/SASDME4/sba_fit_grid.csv'), PosixPath('../../sasbdb_bench/cache/SASDT95/sba_fit_grid.csv')]\n", + "4\n", + "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n", + "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n", + "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n", + "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "base_dir = Path(\"../../sasbdb_bench/cache\")\n", + "csv_files = sorted(base_dir.glob(\"*/sba_fit_grid.csv\"))\n", + "\n", + "if not csv_files:\n", + " raise FileNotFoundError(f\"No matching files found under: {base_dir.resolve()}\")\n", + "\n", + "selected_indices = [ 1, 5, 11, -1] # change these to the files you want\n", + "csv_files = [csv_files[i] for i in selected_indices]\n", + "print(csv_files)\n", + "n = len(csv_files)\n", + "print(n)\n", + "ncols = 2\n", + "nrows = math.ceil(n / ncols)\n", + "\n", + "fig, axes = plt.subplots(nrows, ncols, figsize=(14, 4 * nrows), squeeze=False)\n", + "axes = axes.ravel()\n", + "\n", + "for ax, csv_path in zip(axes, csv_files):\n", + " df = pd.read_csv(csv_path)\n", + " num_df = df.select_dtypes(include=[np.number])\n", + " print(num_df.columns)\n", + " if num_df.shape[1] < 2:\n", + " ax.set_title(csv_path.parent.name)\n", + " ax.text(0.5, 0.5, \"Not enough numeric columns to plot\", ha=\"center\", va=\"center\")\n", + " ax.axis(\"off\")\n", + " continue\n", + "\n", + " x = num_df.iloc[:, 0]\n", + " for col in num_df.columns[1:-2]: # Exclude last two columns (i_fit and sigma)\n", + " ax.plot(x, num_df[col], label=\"Experiment\")\n", + " ax.plot(x, num_df[\"i_fit\"], label=\"Theoretical fit\", linestyle=\"-\")\n", + "\n", + " ax.set_title(csv_path.parent.name, fontsize=16)\n", + " ax.set_xlabel(num_df.columns[0], fontsize=14)\n", + " ax.set_ylabel(\"I(q)\", fontsize=14)\n", + " #ax.grid(True, alpha=0.3)\n", + " ax.set_yscale(\"log\")\n", + " ax.tick_params(axis=\"both\", which=\"major\", labelsize=12)\n", + " ax.legend(fontsize=12)\n", + "\n", + "for ax in axes[len(csv_files):]:\n", + " ax.axis(\"off\")\n", + "\n", + "plt.tight_layout()\n", + "plt.savefig(base_dir / \"sba_fits_grid.pdf\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 131, + "id": "78c36b23", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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9+vVT4bOQwck+++wzHD16FFFRUXBzc0OLFi3w7rvvqvtJRFRYDG2JiKjISKWDhK1STUBEREREZAm4D0tE5sj2ft8BIiKyDnK42Y0bN1TVBBERERGRJeA+LBGZK/a0JSKiux4RVwaBmD17turVJX3CiIiIiIjMGfdhicjcsdKWiIjuivQikwEiJLCVPmBVqlThGiUiIiIis8Z9WCIyd+xpS0RERERERERERGRGWGlLREREREREREREZEYY2hIRERERERERERGZEQ5EZiYyMzNx9epVuLu7w8bG5n7fHSIiIiKzlZWVhbi4OPj7+8PWljUI5oD7skRERERFuy/L0NZMSGAbEBBwv+8GERERkcW4fPkyKlaseL/vBnFfloiIiKjI92UZ2poJqbDVNpiHh0eRVj1ERETA19eXlShcJ3yu8PXD95Viwvdarhc+X+7tayg2Nlb92K3tP5Fl7svyvdMycbtZJm43y8TtZrm47SxT5j3K0Aq6L8vQ1kxoLRFkJ7eoQ9vk5GS1TB4+yHXC5wpfP3xfKR58r+V64fPl/ryG2FLKsvdl+d5pmbjdLBO3m2XidrNc3HaWKfMeZ2i325dlEzAiIiIiIiIiIiIiM8LQloiIiIiIiIiIiMiMMLQlIiIiIiIiIiIiMiMMbYmIiIiIiIiIiIjMCENbIiIiIiIiIiIiIjPC0JaIiIiIiIiIiIjIjDC0JSIiIiIiIiIiIjIjDG2JiIiIiIiIiIiIzAhDWyIiIiIiIiIiIiIzwtCWiIiIiIiIiIiIyIwwtCUlIi4FSakZXBtEREREZPYuRyciKyvrft8NIiIiomLD0JaU5h+tR/+5Owu1NiTkzcjkzjIRERER3TuxyWl48PPN2H0xmqudiIiIrBZDW9I7fCWmUGuj9vg1GLP0CNcgEREREd0zUjiQnpmF2KQ0rnUiIiKyWgxt6a78vu8K1yARERER3TOZ2W0ReMAXERERWTOGtkREREREZDG09lzsaUtERETWjKEtERERERFZjMxM3XkGByIjIiIiK8bQloiIiIiILIYW1rI9AhEREVkzqwxtZ82ahcDAQDg7O6Nly5bYs2fPLedfsmQJatWqpeavX78+Vq9ebXS5HHo1fvx4lC9fHi4uLujSpQvOnj2rvzw4OBhDhgxBlSpV1OVVq1bFhAkTkJqaWmyPsSh9sfZ0vpe9veQwAkevuqf3h4iIiIjodj1t2R6BiIiIrJnVhbaLFy/GyJEjVWh64MABNGzYEN26dUN4eLjJ+Xfs2IEBAwao0PXgwYPo3bu3Oh07dkw/z6effooZM2Zgzpw52L17N9zc3NQyk5OT1eWnTp1CZmYmvv32Wxw/fhxffvmlmnfs2LGwBD9su6j/99mwODUir+aP/bqBxhpNWou4ZI7QS0RERET3V2Z2ia0W3hIRERFZI6sLbadNm4ahQ4di8ODBqFOnjgpPXV1dMW/ePJPzf/XVV+jevTtGjRqF2rVrY/LkyWjSpAm+/vpr/S/406dPx7hx4/DYY4+hQYMG+Pnnn3H16lUsW7ZMzSPXnz9/Prp27YqgoCA8+uijePvtt7F06VJYAlsbG/2/H/pyK95acijPPDcT03ApKvEe3zMiIiIionzaI2T3tiUiIiKyRvawItKOYP/+/RgzZox+mq2trWpnsHPnTpPXkelSmWtIqmi1QPbixYu4fv26WobG09NTtV2Q6/bv39/kcmNiYuDt7Z3vfU1JSVEnTWxsrDqXil05FRVZlgTPt1qmQWarHL8aa3J+Zwdbk9OL8v7eCwVZJyUR1wvXCZ8rfP3wfYXvt5byGcTP8JKNA5ERERFRSWBVoW1kZCQyMjJQtmxZo+nyt7QwMEUCWVPzy3Ttcm1afvPkdu7cOcycOROff/55vvd1ypQpmDhxYp7pERER+rYLRUG+1EiALF+EJMA2KdehZVmZGSbbSURHRaFUZkKe6fm1njBXBVonJRDXC9cJnyt8/fB9he+3lvIZFBcXd0/uF5kn9rQlIiKiksCqQltzEBoaqtolPPnkk6pNQ36kGtiwwlcqbQMCAuDr6wsPD48i/RJkY2OjlpvflyA7NT2nj62DvT38/PzyzOdV2ht+fqXyTN9yORVPNq0IS1GQdVIScb1wnfC5wtcP31f4fmspn0EyeCyVXBn6nrb3+54QERERFR+rCm3LlCkDOzs7hIWFGU2Xv8uVK2fyOjL9VvNr5zKtfPnyRvM0atTI6HrS5/bBBx9EmzZtMHfu3FveVycnJ3XKTb6oFHWQKF+CbrXc3O0R7Gx18+cmByyamv7un0fRo355uDs7wFLcbp2UVFwvXCd8rvD1w/cVvt9awmcQP79LNn1PWw5ERkRERFbMqhIrR0dHNG3aFBs2bDCq3JC/W7dubfI6Mt1wfrFu3Tr9/FWqVFHBreE8UhW7e/duo2VKhW3Hjh3V7cugZJb0ZcJwIDJTf+euaijsZURERERUcLNmzUJgYKCqKJZxFPbs2ZPvvMePH0ffvn3V/BJ8ywC6ptpyNW/eHO7u7upoqt69e+P06dNG88h+rFzf8PTyyy+b5WaTNhoik/ufREREZMUsJ1ksIGk58N133+Gnn37CyZMn8corryAhIQGDBw9Wlw8cONBooLI33ngDa9aswRdffKH63n7wwQfYt28fXnvtNXW57LC++eab+PDDD7FixQocPXpULcPf31/t8BoGtpUqVVJ9bKUvrfS7za/nrbnJndHKYzbFcGwQbWdZw9CWiIiI6O4tXrxY7c9OmDABBw4cQMOGDdUgufmNIZCYmIigoCBMnTo13yPLtmzZgldffRW7du1SxQlpaWno2rWr2kc2JK29rl27pj99+umnZrlJM7L3SZnZEhERkTWzqvYIol+/fio0HT9+vApNpYWBhLLaQGIhISFGVbDSymDhwoUYN24cxo4di+rVq2PZsmWoV6+efp533nlH7dQOGzYMN2/eRLt27dQytX5qsvMrg4/JqWJF496uucNNc5Q7pLU1ndki3SC1zf2wGNoSERER3b1p06ap8FQrOJgzZw5WrVqFefPmYfTo0XnmlwpaOQlTlwvZbzX0448/qorb/fv3o3379vrprq6u+Qa/5tnT1vz3s4mIiIjulNWFtkKqZLVK2dw2b96cZ5oMGianW4WakyZNUidTnn/+eXWyVLkz2vzaIxjuGOfeSdZ6ixERERHRnUlNTVVBquFRYVJs0KVLF+zcubPIVmtMTIw69/b2Npq+YMEC/Prrryq4feSRR/D++++rINeUlJQUdTJsH6a1JpNTQch8UuBQ0Pk1Gdnzy3lhr0t37063G91f3G6WidvNcnHbWabMe/QZV9DlW2VoS4WTO261zafUVjsUbef5KDSp7GV02bWYZLg62MPT1XIGIyMiIiIyJ5GRkcjIyNAfIaaRv6WNV1F9SZDWX23btjU6suzpp59G5cqVVQuwI0eO4N1331V9b5cuXWpyOdInd+LEiXmmyxFvycnJBb4vEiDLl6PCjAcRFa0LiGPj4vNtG0HF5063G91f3G6WidvNcnHbWabMe/QZFxcXV6D5GNpSnlYHt2qPcCw0BgO+24VxPWsbXdbnmx1wd7bH0Q+6cY0SERERmSnpbXvs2DFs27bNaLq0AdPUr18f5cuXR+fOnXH+/HlUrVo1z3KkGlh67xpW2gYEBMDX1xceHh4F/mIkR7TJdQrzxcjjpm5n1dXVTbV5oHvrTrcb3V/cbpaJ281ycdtZpsx79BmntVu9HYa2lKfWNt/2CJnAjcRU9e8PV53Mc3lccjrXJhEREdEdKlOmDOzs7BAWFmY0Xf4uil6z0j5s5cqV2Lp1a55xGHJr2bKlOpcxG0yFtk5OTuqUm3zBKcyXHPliVNjraM29sqC7Lt17d7bd6H7jdrNM3G6Wi9vOMtncg8+4gi6bn7IlVGZmFk5eiy1Upa30rb3dgGPT1p1BSnpGkd1PIiIiopLC0dERTZs2xYYNG4wqPuTv1q1b3/Fy5RA/CWz/+usvbNy4EVWqVLntdQ4dOqTOpeLW3HAgMiIiIioJWGlbQn229jRmbz6PSY/VRVSCrnrW8FcFU8JiklHazfGWy52x4Sz83J3wbKvKRXp/iYiIiEoCaTkwaNAgNGvWDC1atMD06dORkJCAwYMHq8sHDhyIChUqqJ6y2uBlJ06c0P87NDRUBa6lSpVCtWrV9C0RFi5ciOXLl8Pd3R3Xr19X0z09PeHi4qJaIMjlPXr0gI+Pj+ppO2LECLRv3x4NGjSAudEGwJUwmoiIiMhaMbQtoVYcuqrOp68/m+ey/Cpt3/nzCBoGGA9AZkpyGittiYiIiO5Ev3791GBe48ePV+Fqo0aNsGbNGv3gZCEhIUaH1F29ehWNGzfW//3555+rU4cOHbB582Y1bfbs2eq8Y8eORrc1f/58PP/886rCd/369fqAWHrT9u3bF+PGjTPbI8YMB8klIiIiskYMbUuom9m9aU0FtHbZE7edjcxz2eHLN2+77JR07kETERER3SlpZSAnU7QgVhMYGHjbitPbXS4h7ZYtW2AptG5dmay0JSIiIivGnrYlVE4LhLyprTYQ2bM/7L6jZacytCUiIiKiYsL2CERERFQSMLQtobSo1lSlbX49bQsqlceqEREREVExt0e4zfi4RERERBaNoW0JZyqfza+nbUGx0paIiIiIiovWFoHtEYiIiMiaMbQtqWyMWyEYsjcY3OJuQ9uDITfw0SrdiMZERERERHcrQxuIjD1tiYiIyIoxtC3hTBXVOtrbIL2ALQ7KlHLMMy0LOceqDf15H7777+Jd3UciIiIiIo1WYcvMloiIiKwZQ9sSSj8MWT6VtuFxKQVazttdaxbxPSMiIiIiyp9WW6D1tiUiIiKyRgxtSzhTPW2v3EhEm6kbC3R9B7u8TyFWPRARERFR8fe05TomIiIi68XQtoTSKmxN9bQ9EHLT5HXq+ntg4YstjabZ2+W9fnpGFk5ei1X/ZoBLREREREWJA5ERERFRSWB/v+8AmV+lbW7lPJzxVPMADGlbBZ6uDrettF2877I67RnbuSjvKhERERGRfiAyLbwlIiIiskYMbUt4WHspKvG2877fqw56Nihv8jJ72/xT37iUdP2/s7KyTPbPJSIiIiIqDK0tAkNbIiIismZsj1BCFSY+NVFMa3BZ/kuatemc0c71qwsOYNvZyELcMhERERGRMW0AMva0JSIiImvG0JZu61YVsq6O9vj66cZ4qX1QnsuWHghFTFKa+ndaRiZWHb2GUX8c5honIiIiojuWkd0WQY7kIiIiIrJWDG1LqMK0KjA1WFnOZUCvBv7wcnU0eXl6dglEZHyKOnd1tCv0fSUiIiIiyt3TVjsnIiIiskYMbckkF4eccPUWHRD04e+tetuKsFhdaHs+IgGhN5PUv6PiU5CUmoHZm8/j9PU4bgkiIiIiui2twpaZLREREVkzhrYl1O3qbB+uVw5PNq1YoEpb4XKbCtq+s3fo/9126kZ13vTD9WgzdQM+WXMKT327s+B3noiIiIhKrIxM3TkHIiMiIiJrxtCWTHKws4W9nS6Rtb1FFa1WaevmZBzarh/ZoUBr9kairuet1vuWiIiIiKhgPW25noiIiMh6MbQtoW7X0tbB3gZO9nYFaI+QMyCZodwhbkHsOBdZ6OsQERERUUltj8DUloiIiKwXQ1syydHODk4OuqeHzW2bKQBuuULb3CFuQXy29jS3BhERERHdEgciIyIiopKAoW2JZXPLylmptHXOrrRNz8xuHJZt9esPoGeD8kaVDi6OOU+lB6qXMRrIzHC6Ztamc3kud7Dl05GIiIiIbo3tEYiIiKgkYEpWQuXXHsE+uxeCo52tfnCx5LQMo3nq+HugopeL0UAQ6Rm68HZY+yD8MqQlHLL74WpKuzrgsyca6v/+7N+8VbVaD10iIiIiovxoXRHYHoGIiIisGUNbMuLu7KAfiEyrlk1Oy8z7xMkOd7XD0yr7uKnzTrX8jAYo01Qv6w7n7HYL+dlxPopbg4iIiIhuSdv/ZGhLRERE1qzwjUfJqpX1cEZ0QqoKbbWQNXelrbDLDmW1neVyns4Intoz3+V6uTjA2UTLhNySUjP0Fb5ERERERPmHtlw3REREZL1YaUtGynk46dskBJR2Vf/2cnW8baXt7TjY28LJ/vZPt7Ts/rmXoxNxIOQGtw4RERERGdGKBjKZ2hIREZEVY2hbQuXXPbZ8dq/amKQ0tKlWBkv/1wbd6pbNt9JWGwjidqRHrrRMeLNL9VvOl5quC20f+HQT+nyzo0DLJiIiIqISGNoWcD+UiIiIyBIxtCUjNcu6q/OLkQnqvEml0nn606onTvakrALuLGsDnD3dslKBQlsiIiIiIlO0gXBZaEtERETWjD1tSygTOaxS2ccVVcq4YVCbwFteP6c9AgrcHkF4uugGOsvPoj0hqFFOFxwTEREREeWmtUVgpS0RERFZM4a2ZESqaje93fG2a+XZVpVVNe4D1csUaA06ZIe8TvbGg4xV9XXD+QhdVa+YsfEctwgRERER5YvtEYiIiKgkYHuEEsomn662Ba1YkIrZz59sCGcH4xA2Pw52OU+17aM7oV4FjzzTiYiIiIhuRxtTIXv8WiIiIiKrxMSMjBS0R21hae0RRAUvF1T2cVP/djSYTkRERER0O2yPQERERCUBE7MSKr+etgXtUVsQu8Z0xvPZvXF93ByNLiuT/bdjASptoxNSETh6FfYFRxfdnSMiIiIii5SRXWNQTLUGRERERGaBoW0JlU9mW6QDOpTzdMaER+pger9G+vBW81KHqhjXszYaBXipvz9+vL5RJa6hc+Hx6vzf49eL7L6R5UtOy0Cd8WsY5hMREZUw7GlLREREJQFDWyrW9ggysFnvxhVgn6ui1t/LBS8+EAQnB910V8ec3rir33hA/+8/9l9BWnb5L/vfmifZPhKebjoVXmy30WXaFrz40z6jaWGxyUhMzcBPOy8V2+0SERGR+bZH0HrbEhEREVkjhrYllISppmTvA99zWiBbq5y7GuRM8+maU0hN14W2Evz+vDMYJ67G3p87WUJkFPJJoIWn09efMXl5ty+3YsTiQ4hJTNMH8KYcunwT3advxYaTYTgTFoc1x64ZVVuvPxmG2OQ0HL58U01LyX5eFGV1OBEREVnOvsr92m8lIiIiuhcY2tJ9ZZPdqEGrtH2hXRV1Pr5XHXUeHpeCo6Ex6t8zNpzF+OXH0fub7dhyJgLxKen37X5bq53BMag+bg2uxyTfdt4DITcQHpeMkKhE9ffZ8Hi88ut+VBu7Go/M3Ka2z/JDoTgdFoe/Doai4aS1qP7ePzhy5SYuRydi2rozuHIjEW8uOqjmnfT3cZy6HochP+1D1y+34uVfD+BiZIJR9XeDD9bisVnbMX75McQlpxfr4HlERET3y6xZsxAYGAhnZ2e0bNkSe/bsyXfe48ePo2/fvmp++VF++vTpd7TM5ORkvPrqq/Dx8UGpUqXUMsPCwmCOtLCW+wBERERkzRjakt7wTtXwUJ2y93SNNAssrc6r+pbChY974KlmAepvO9ucSmAJ9wxJ5e2geXswftmxe3pfrZVUsc7efF79+5+TusHenv5ul6p2zS0xNR27L0Spf/f5ZocKV5/+fnf2ZRn459h1pGdmqaD9idk78MaiQ3mW8ejX2/HAp5tUCD/8t4NYdugq/jl6DclpeatwH/x8M6qMWZ1n+s87L+G7rRfUvzMz8x/A7q+DV1SFb25nTTw2IiIqnMkrT6DKmFVGh6yvPnpNvf/SnVu8eDFGjhyJCRMm4MCBA2jYsCG6deuG8HDTbYgSExMRFBSEqVOnoly5cne8zBEjRuDvv//GkiVLsGXLFly9ehV9+vQxy03JnrZERERUEjC0Jb23uta8531jO9b0w6nJ3VHJxxW2BkGt1hLhViITUrHnYrTRYfRUeBKAf7LmlKpWWXtaF9peiEzAkJ/2GoW1v+0JwfPz9qLf3F0qcBU3TQSiGqmavZ2DIbpWByeuxaqKXHdn+wLf7zXZA9Ptu3TDZKXN4Pl7MGLxYfSbu9No+razkXjoy63Yfi4SSakZSGDFNhHdhoSRBflculeW7LuMKatP5nv50SsxOJZ9lEpx+mHbRRi+/V6+kYj/LThwT27bmk2bNg1Dhw7F4MGDUadOHcyZMweurq6YN2+eyfmbN2+Ozz77DP3794eTk9MdLTMmJgY//PCDmq9Tp05o2rQp5s+fjx07dmDXrl0w1/YIt+i6RERERGTxGNqWUPm0tL0vnB1yBiHTpBZgL9zFwRZPfbtTHUYvlZollfSJnbPl/C37xYqU9AzVbiA3aXEg1p00ruC5HJ2EedsuqlYEdcb/izFLj2JPcLTJ6udxPWvf1WOYvz1YfQHbOaazyct7Niif73Uj41PQ/rNNqhXDk3N2YP72i/j+vws4fCVGHx7LsiPiUlR17syNusD5me93o90nG9Fo0tq7uu9EZP3e/uMwaoz7J8/0azFJqm93fpWl0qtbfhzKHQCfvGa6N/vNxFSjZUkrGVNG/XEE32YfbWDKI19vQ6+Z29S/xy07ilVHbv0ZKS1xwmNv3xbHkGF/efnhbNamc1h3Qncofa3y7oVaFuVITU3F/v370aVLF/00W1tb9ffOncY/QhblMuXytLQ0o3lq1aqFSpUq3fHt3otKW7ZHICIiImtW8LI2CyI9u6Ti4Pr16+rwr5kzZ6JFixb5zi+Hgb3//vsIDg5G9erV8cknn6BHjx76y2WHUA4n++6773Dz5k20bdsWs2fPVvNqoqOjMXz4cHVYmewISx+wr776SvUEswSLh7WCObldAJk77JXD8R+ubxzsff7vabSu6oO21crAmi0/dBVT/zmFch7O6N24gv45K0FlWkYWXBztsP/SDfSdvUNdFjy1p/662jxCwu/cJq08UaD70CzQG2MeroXf913G+Yi8wfDCoS1R3tMFl6IS8Nm/p3E8n8HkSjnZq8HoJFzWBhoTL7StgoyMLH11rWb+880x+Me9KmDWWjHsDb6RZ7lVx+ZtsSCissORRXtC4FPKST1fes34D2N61Ea3uuVwMOQGPG0y4JWeCWdH/sZFJKQH9alrsep1b8rp63HqRxJ5H+9QowzWnY6G/w2gc+1yqgd2ZEIKmlTStcbRJKdlICUtE56uOQNR3k56RqYaoLIg5D3xvWXH8Fyryqhd3kP9WOXn7lzg21p6IFSdy2MyPCJl9dHr6iiBqf+cxHs96+gH0pRgdueFKPXjUIsq3vD3dMY73Wup3t8rDl3FnweuYOngevDzM76dRpPWqfOPHq+H9/7StQCqWdYdK4a3hZN93h84DY3+84jq996/eSWj6b/uClEnF8dm6FSrLK7eTFLvsW2q+iApLQMbToarVjXa54O0lfFydcSDNXV3bv2JMNX65ounGqptv/VMhKqmnfV0E/1tyNEZ8t4uKnm7wreU6WpPur3IyEhkZGSgbFnjdlXy96lTp4ptmbLP7OjoCC8vrzzzyGWmpKSkqJMmNlb32Z6ZmalOBSHzyeuzoPPnGYgss/DXpbt3p9uN7i9uN8vE7Wa5uO0sU+Y9+owr6PKtLrTVenbJYV8yyIIMxiA9u06fPg2/3N+OAHXY14ABAzBlyhT06tULCxcuRO/evVW/r3r16ql5Pv30U8yYMQM//fQTqlSpogJeWeaJEyfUYA7imWeewbVr17Bu3TpVqSCHnw0bNkwtzxIqbVsG+cAcByi7FSf7nC/O32w+jxcfCIK3m6P+i/XXm86pQzdPTu4OaybBhRZ6iAsR8ej0xRb95ScndccTc3SBrXZYrYQXRXGob6dafth4KhylnOzwUoeqahtoAelnTzRQ1WAioLQrArxdUaWMG+pV8ESzD9ejaeXSKkyu4OWCHvXLqeuL1a8/oM5DbyZh3LJjKoTwcLbHh4/XUwPVSfCrLbd62VL4bmAzDP153109jtFLjxr9/e6fR1RQ0neO7pDQDjV88dMLxj/8HL8ag192XsLEx+reNkwhKk7S4kN6i455uPYtQ0/Z+Zi65hS+3XIBpz/sjvjkdPVjhSY2OQ3vLzuGSY/V04ePpkz++wQW77uMlcPbqQrNLrl6oXebvlX/7zOTu+H9fy4CuKgCwZ4z/1ODCH7St74KEKU9S+/G/th6JhLbzkWqeeR+/n3kGip7u8LNyQ7+Xi5wdbRHTFIaHOxs4Gxvh9/2huhDzW+eaaLeT8p6OKvKVD8PJ/WaXLg7BGP/OopVr7eDu5OD+vtQyE1VoScV+PKjjwSujQK80KCipwpjY5PSMGHFcfX4F+wOUe17DAdmlGrbNzpXV/3X5TNI1rv4fd8VNXDmuJ511O3I/Z658Zy6TNr4aK1crtxI0i9r1Ipz+HZgaaw9GQ4vF0d1tIDmpx3B+n/Lfaw5bg1+fqGF6kF+Njyn9cwf+6+gfgVPNajjor2X1bQv1+ccCfHW74f1/37hx31oWcUbu7Pvz+udqqn1sDa7OlYERyaotjLa+96rD1bDi9nvrx1r+urDXfHqwpwf+jobfObI9WQwLLJ+su88ceLEPNMjIiLUoGYF/cIirRnkdS9FDwWVnB0Wp6an59vrl4rPnW43ur+43SwTt5vl4razTJn36DMuLi6uZIa2hj27hIS3q1atUj27Ro8enWd+qYbt3r07Ro0apf6ePHmyCl6//vprdV3ZUBL8jhs3Do899pia5+eff1aVB8uWLVP9w06ePIk1a9Zg7969aNasmZpHqnulWvfzzz+Hv78/zE1BQtH76cUHqiALWerL7o7zUfjzldboO9v48Dz5kmzo1PVYtKmqq6qVYE9ULO0CcyKVISHRiSq8LCq22V+OtcNtX1+U86Va1B6/xuhvLfDMz4RetTFxpXGvxMca+auK3u8HNlOVyx+sOI5R3Wuq4PfztadR2cdNP4Dcs60qYePJcPRq4K+/LZ9SujBdlCnlpALdrnXKITk9Q1XXujnlvBVpvY0l5HV20L1JSrWwXE9OUrW25th1bDgVrv5+qI4rOtfyU3/LcjefjsA/x67pR5ZeN6I9DoTcwLt/6oJZV0c7NWjarUiv3oe/+k//twTHEqhIhbBUqMkh0cdCY/WHP3/+ZEMVRpN5kMPRW0/dgFHdauKZlpWL9bakd3KfJhXRs3459fqWH5AGtQmEu/PtK0blcHRHe1sVEErIJRVjUt0+pF0V9fz/eWcwGgeURv2KnqpHqLzW5LXYoYafChdlsMBhv+zXL0+qI0c/XEv/tyxPws3udcupcFaqJSWwFRICCvkxom1VH/x95Ko+rGsd5IP+LSrpQzwJ9iQMlfvx+97LWHpQFy5qh98/07ISouJTUdrNUfW+NlTj/X9z/v3eP/rWN7rX41F9T2vNf2cj8OHKkyqoNKVOeQ+j+YVUfcrbYK1yHup9sGFFTyx/rR2+WKur/Ow5Q3c/c9+WVOnfztmweBWIauSI7Onrz6pWAE80rWg0r7z3bD6dE17mZhjYivNRyejyZc77jCFT7RYGztuTZ9rbS3JCWVOkoteQFtgK2Y6571PHzzcbve/JSWMY2N5KgLd5fe5amjJlysDOzg5hYTlhupC/8xtkrCiWKefSRkGOKDOstr3V7Y4ZM0YVShhW2gYEBMDX1xceHh4F/mIk739yncJ8MbKz172X2dramSzKoOJ1p9uN7i9uN8vE7Wa5uO0sU+Y9+ozTCkBLVGir9eySnciC9gGT6YY7nEKqaCWQFRcvXlSHhRn2+PL09FRVvHJdCW3lXHZwtcBWyPxy27t378bjjz9e4EPK4uPj9U8Me3t7daiaPK709HT9vA4ODuokVQyGJdUyr1zHcLqcy3XlXEYX1mSkJiErS+axQVZ6irpdjYuLiwqrc1dJyIAVcnid4f2W+ypPNrkNuZ+5p0vVsZw0hXlML7byx+7zuuoJZ5sMZKbl3B8bOwfY2NoZTev/zRZsGNUFQb6lEBYdoy6zz3JUj83wMcnyExIS1HRpX3EvH5NU/k7beBH73+8KVzvjwwdl8BD5UmW4nXTb1QnxqRmIvBEHf4MQWntMqSmJ6rHO33oaF69H41hoHLIyM5CVkXMfbWxsYWPvmP/0jHRkZerue98GZbDhhBe2Xbip5pXrjOhYCU38XdAuyBOO9jaY0KMaMjPTIOOGTepRTV0/00b33BvdpYo6yXNs3sDG+GzdOWSmJiPeIIN4vFF59UZol5mCrLR0xKeZfu4NaVUewdej4ePmoNa5tp2+eqI2bG3rwtHORq336X1rISOzpjpUumcdH3zStx7qvv8Pnm3uj/JuNuhRqzTeyUhTz5sDYzti6I970LmOH8YvPw4bW3vY2NljwsPVMGGFrnJPJGbqnmNZ6anqtTL8l10mn3snLiejx7T1+LBPY6w5EYauNUqr+3sxMhHPtwmEm5srYpJSMWz+LvRtUgGPNNT9iJOYaYfDITfQOtAj3+eedvi3TD8QmoBSDkC1MjnPgaJ4j7jVc0/ui2ynpCTjYEfml9eN4fvV7d4jLkXGwdfVrkhfT/k9Jgkzb8Qnq0pM2fY22T8oyGOR27wem4wOU9fi+daBeKB6GXW4fBkvd3XI/8/bzuK3vZcxs38jDF90CFOfagZ/D0f89N85vNu9pqr6tLe3wwu/HMbO8xHqNbLp+GV0GP8Qjl6Oxudrg7H9TBiaVnRHm+o+aFDBS90/eY7P3ngapZ3tMGfreawd0R6tP9mqnnvyHHugmg8mPloH87acQnBEDOYNboX3/zyonnvvdKuJT/89rZ57Egxqz73ejfzVv+U1LO/l36w/rk7je9VBv2YVcf5GGsYuPYKv1x5X1ZhlSjmq+W0dnPXvBc99uzXPe8Q7i/eqU5/GFfDXoWt53iPU/LZ26v7IMn7ZllPZqb2etNeNfrqdA+QtwNR0w9fTM3Oy70/2Y5LPJ0PHr8qvMVlqOYbkMZ0IvaHuz8GLyag1ZhmS0rIK/L6X+zHJdUTPL9frH9O0PrXw5mJdG5aUNGDhrmCj9wjDx1TG3QURN43DZcPH1CLQW98j3MbeKc9jCr+RjADf0rgSHW/yvtsiE+lpqXf0mLTtJIFtftvjdtvJ1GPSyHuuvA8Udj9CXvPaZ7NMu917REErOS2NPDYZBGzDhg3qyC8h723y92uvvVZsy5TL5T1WpkmLLyFHqYWEhKB169YmlyufBaYGPtO2X0HJe3Nhr6MNgCeV8wwN74872W50/3G7WSZuN8vFbWeZbO7BZ1xBl21f0vuASSBran6tf5d2frt5cv/KL18qvL298+0Dlt8hZc8++6y6rmjfvj1efPFFfP/999i6NedwU9nh7tOnj2rbcOxYTsj0wgsvoGPHjqqi+OrVq2qafGl6+eWX1Q63nGtfck5ejoPrg8Ng6+KByOWfoM/Rb/XLkQpj6dE7duxY/TT54jR37lwcOXJEVQ9rpIp46tSp2Lx5s9GoxtJa4p133sHSpUv1AfidPKakGt2AUrUwcfRIuJy5hMs3dfffs90zcCpXDVGrpht9WeyeGo81b7TDE08+h5ikdOx3skOff92NHpOsEwmDJLCVPsX34jEdPaqrKDsbkYTkmt1w7nIDzPn0A/12Em+//TYaNGig2moYfhmt98Qb+ON0stpONXxdcSYiEZVKO2P14h8Rej0Sn749CpGRulDtT3sn+PYejdTwi4jZtkC/DDsPX/h0/R+SLx1GyuFVqF7GBdLKtkJQLRyt0AuJp7ch4cQWdehx3yNz0KRVO7za7jFMmT4bycEHMfTIHPXGlVCI5572mOb3a4Cnn37a6DF9/PHH6vUhz0lD+T33Yp5rUOjt9G6VUCz7fhb6fK+b3rxqY3R74jm1jLCtW7FwKeAek4Lwsi3Qt08fHF3+LSruP4xDoboKP/emj8ClShNEb/weGbE51Wb5PffGJr2iXk//fDFC349Xavt7vv4Rdp66gui1syGNIxpVcFePqVTPUdh74DCy9i1GnbJuyMjKwk07L3Qe/A7srx7G5uW/4di1eDSsUAp16tbDBo9uSDixGY2Tcyrr2j3wAHoPGIQVi37O89xzrdMBWxZ9i9ALp9RzPiktE6+9PDTf7WTquZffdpKe3tIDXNa/0MLQFi98gNTr57Fr6Xdq+s2kdFxIccMPM7/AsGmLUeHKRpRxc1AVqQeSyuDX6ZNwae86/espPiUD9pUaIqRCZ7xY6qB6THLfL0QlY1D/J1D3ge6q57hb3GX1XJV+nFXa98EnL/fBwP+NRNKNcFVJHZeSjtQqj6nt9Gjf/tgfHKmWX8PPFbO//Ay7rmfh2tKpmLIUmKKqvx2xeenPePqbHTi7bIaad8ByXZg21mE0Uq6fU6+nxZ/qHn/dapUR0eh59XqK2/+3mtb38BykewYA1fpi/erlWH5iizp8Xm4ztWw9ZNXriZD/lqrXk6i2+CO41ekAtzodEbPzdyxddh5bZzsiMiEV/1x5BGPcHPTPvXeWm37u/f6vPWKT0+HdVffck/cI8fpy4HV5XI+9i8ykWBz+cza0Z41NAd4jtMc0dzngWLYqvB54Vv8eIdwc7ZDh3wAezR5F3MF/9I9JXVanAzp0e0Qte/venOn5vZ4+Gj8G2+O88M/MqUavp9yPKdDbBcHRSfrHJK8nuR8JqRkFekx2J/5BkI8LDlyJM/mYhHNg43wfk2ynbYtmIXKFrmrX0c4WTo164svXnsC4sWNw/VrO62nYayMwun8L1HuoHxINfvAwfEyHPJ0QGaN7vNpjst/xA6IT05CeKWGzE37+/Se8M28tjq2cl+cxdXC+jMV//KifLo8poMsgXD+4GcmntqKsu6N6/l1zr3XLxyTPvdSw86pSWY7acG3cK892kmUlN3zS5PuePKZ6geVx9JcpCCrjjKsxqZhxxBl1v/220PsRmzZtUpfLPpC8p9zuM1eOiLJWUkwwaNAgVQwgYzLIEV8SaGtHkQ0cOBAVKlRQ+5JCAm9p2aX9OzQ0FIcOHVL7OdWqVSvQMqUgYciQIWo+ed+XSlkZq0H2H1u1Mq9xD4R8ZgrtqBoiIiIia2STZUXDrkoIITux0qfWsCpAdvq3bNmiql5NVR9Ir1rpa6v55ptvVKAqh4TJsmTgMVl2+fI5A1099dRT6kuF9NCVYEOWIRUJhiTIleW88sorBaq0lUPKZEdbO6SsqCptZdlyaJthGNN9+n+4HJeur5A5MbGb2VXaiiG/HMLuSzH4b2Qb/L43BF9tPIfP+zbAqGUn86366dO4Iv7cazyq9oEPesDLJWf50m9Nyt3vVaXt6D8Pq0OTH29cAYsPXMdbXWvhxTYVC1Tt+OR3+3DierzRF2U/dycsf/1BtPlko8mKs1tV2j7VuCwmPFJX/5jkdn/ZcQG+rrbwsktF/aAK6vHIqcq7K9R1tOdHcVdw3uvnnhw+fjMlExV93I3uu/QHbjply11XnOVXRZd7O73QJhCXohKx8UzkbSsDj0/orO73J/+ewvFrCTh0NQFrhrdCcHis6k0tfTmDo5PR65vd6jbXvdEOC/aEYP6OYOwf3x2nwxOx5nAIRnevqZYtrSYcnZzQq2EFtZ2k/YM8vyQ48vMqpbaTrBvZLsN/O4Tn21RG25rlERJ6HW8tP6Pmm/tsU3i4OKDeh1vUfe/dwBd/HbwKf08XXItN0T+mZ5uVV4f7bz0XgeWHryPA1xMBno7YfjYMf7/aFo/M2q6vDGwV6IGG5UvhudaV0eaTTXkqOIPKuKnBj2TeX15shefmboedTRa2vfsg3l92HOvPRKtl1fBxUIf332o7BZR2wTcDW+HRWdsL/Xq60wpO3XR7NAksgwMXw++42lG6iTxQ0x9bz0Xd0XNP816POpiy7sJtH9PPg5urAcje+uMYTkUkITg8Rl2nV4PyWHnkGno2qIhpA5ogKz0NqWnp+G7rBczcfB5jetRFXBowa/1J1C5XCq90CEJMcjr6t6yiXpvy3JN2EVvORqqesjXLe+N6XApi4hMw+bG6qupXBk0MS8zErzsvoU5ZF9UqIiQqAd1nbNM/plaVPeDmaI/1p8LUfa9fuQyOXr6B4+M7qcez52IUvtsWjCdaBGHkogP67bR1VEfsCr6J0ctOoW5ZV8zsVx8dv9iCar6l0L5WWdQsXxqP1ffFn/svq96/vRtVUD8mtK1RFlciY9Duk41qOS2r+OCXoW3g6GCPNxfsxrJDOWGurMelr7TBicuReKi2L9YdDkZ8liNaVi+P5NQMNCjvivUnw/B69qCK5z/pjZS0NMQlJKl1K20/vlh/Ti1nau/aeGdJTgj7ZpcaeP6B6vj3WCh61vHTt5k5E56ApAxbvPTzblTycsZbD1XHwj2Xsf50lNHrqbynM9aPaI+VxyKw5mQkNp8IxZNN/fHBI3VVxf/3O66gsm8prD5wCRtO5/QPLV/aHTvGdC6S93ItbNQORbvde7n8UC8/oEvPsYIeim9JJJTWBtVt1KiRGltBjvIS8uNbYGAgfvxRF9zLj2gy5kJuHTp0UD9sFmSZQrbXW2+9hd9++01tIznyTPaJC9qWQfY3JfwtzDaRz13pSSv7zIWpZnns6204fCVGtcHa9q7u9U33zp1uN7q/uN0sE7eb5eK2s0yZ9+gzrqD7TVYV2soOv3wh+OOPP/SHfwmpLJAeXcuXZ5crGahUqZKqKnjzzTf10yZMmKCqOg4fPowLFy6gatWqOHjwoNrBNdwRlr+lJ65U+clO7o0bOaPWSygkXzaWLFlisj1CUezo3s0TruNnmxAclROkyeAv5mjA3F1qBO5jE7th4e5L+Hj1KTXojPQwLIzSrg5qtPIfnm+eZ52sPnoNq45eMxoJu6gFjl6lzoc+UAXf/SeD8gATHqmDan6l8EB1X5y4GosgXzc4O+gOH9dGNpcB1aq/90+hbuvIB13x2ZrT+GXXJTQM8MLhyzfVdHtbGxWwDWxdWQ00VJDnigwUtvN8JF7rVB0ljbw1yulUcCjSHUrh+LU4jFl6FIfGP6T6PMoXxdx9lu+FVx+simaVvW/Zj3PxsFboN1fXzsGQu7O9GgRKSOi58e2O+uem9EKVHsHSI7NL7bIqPBLSPuCnwS1US4E2U3XB1OnJ3bBy33m8tVw30JKQ9ZG7P2Zu5Tx0rQlMkdeCDLKUm4+bI6JM9PcsblV93dCzfnnMyB5MSiNtBo6GxuR7PV93J0TEGYentyLvvfIjQa3319x2XUpv2sm962HB7kuq16wWCMoyYhLTVJgoPa0Phuhe87dzfGI3NbiXtHwQcr+bf7Re/Vvec/t9u1P1cZY+1b/uCtFfR3pQa7sOj83ajiNXYnD2o4dVP9l6/p76wNDU+8qGk2GoVd5DDUCYHwknpfIzPDZF9ZNtU03Xqzw/0ut1a3bv1U/7NkCzwNJ4f/kxNdBZv+YBiI5PRSUfV6PrSLW3vO+/nt2nVfsM3Hk+Sq1/6Sn818Er6FjDT/XqLYhNp8PRPNBb9ekWsk2kL7FUA8/Zct7odvL7bJb1KpXiHvn0RN4bHI3Sro7q+XnyWpxaj9L/XfoZF1RiajouRCSoytrZW86ritxBrQNVz2JNXHKaGvxN2orkJp8pUuUo60k+s/K7r8W9g1xc+0105+5laPvIzG3qvVheA9tHM7S91xhEWCZuN8vE7Wa5uO0sU6aZhbb2Jb0PmFTkyuWGoa0MRKZV6krlglQYyDxaaCsrV6p2tQpamVdCYemnK7cvNm7cqG7bsIKBCu+lDkFqp9zFwU71ApXRsVsF+RR6OTcS09RAVRLQ/ndGBosJw/bRndVlWgA86+ni30JaKCsm/n1CP4K3BEM96pfDN880VYNm9flmhxopXKoeC6Oyj6v6Av1Kx6oqXJKBciQ0+ODvE/iyXyM1kIw2WFtByIjsciqJpMJUAhRvVwf4+XmiQUBp9KhXHp6uDnisUQWjeS983AP1PvjXaICziY/WxXf/XbhtkFlYszZJ+KMLgJpVLq1GpM9NG7U+Ny2wVfc5MgHdp+e0VJj6T04LGS2wFf+djUTQWGnskGPt8TBVyWqoII8zv8BWmApsxe0C2z9ebo0n5pgOzw1/tDAcJOlydP73tVWQN1oHlcEbXaqrcEsGbpKBxSS8ksG4Otcuiwc/34y6/h4Y0aUGtp6NwM87L6nrTupeBc+2r4UftgWr2569+Rw2nc5pBbBvXBc0+1AXin76RAMEZg/gJ+8L3w1spgJf+fGmlKO9eq8b+9dRPNrQHysO68LZwW0D1TxSVSnTJLSVH2GEPC/lJMG42PBWB5wNi0NgGTdMXHEC3eqWRfsavuo5KgM8SvjnlmsQQFm2RoJHqbg+rgL92vrQVptfXh9iwYst1TKlwrtBxZzBi/Ij6+92ZOBBIUFr7rDVlJ8GN1c/UkmPagkTpa/5ghdzDufWQlRDsj1l3X6z6RxCDZ67ravmfL483th4oLHbebCmcZsk2R7DO+t+8NJC29uR9XqrEFRCYU0d/zsLKiWM1QZOnDmgscl5bjWQnjy3ie43+eFF62lLREREZK2sKrS9kz5gb7zxhqqa/eKLL9CzZ08sWrQI+/btU33VtC9QEuh++OGHqF69ugpx33//fdWDTQuGa9euje7du2Po0KGqJ6ccxichsQxSJvOZI+0Lt7nrWNNPVXyJ8p4u2PhWR6PLJdhsU9UH1QpYjWpYofvQl1uxcvgD+r+rjl2Nec83x7S1p7H4pdZGAWtBSMC3+UwEOlT3VeGYjJJuGIJoFWS5aZV8287q+m6GZFdAS2BT0MCvXgUPtAj0wQvtAtXfUjn3VPMA9e/n21ZRJ/WY65Qt9OMi4xDGkLebI4a1D1KVhZ890RCfrDmFla+3w7S1Z/Bks4p4rlVlVckoFYgbT4XDz8MJ60+Gq9BsXM/aiIxPVRXk0pe0sGYMaIyudcoaVWhqtp3TPZcMnx/HQnMGRZIw/4/9V4zaBhSGDNAlqvuVwtietTF4fv5Vv081q4hyni6qMlQLHzVtq/lg+7moPNcZ0KISPupdD/O2X8SHq06qaS+1D8JfB0PRv0UlzNhwVj+vHKrfr1kAFu+7rJ8m/Ub3vd9FhV9SMVj/g7X6yxa+2ArBUboqw2e+3w13J3tVnb7hZDhe+nU/pj3VSF95KuGWvBcYSk3PRIsq3qpSvq6/J7rUKYv/dayG3/ZcQpeauhBtaPsgdd48sDluJqbh+fl71GG8UjUsIWuP+uXz/Pgkr01DT7espLabBKE1ypbCow0rGAWYjzQojw41fOHpYvyclIppCVAre7uiqm8pNe23Ycb9KCWwe6Fd3kOpxfznm+P4VV0l8adPNFQVrBJ6LhzaEmfD4k2Ge7cK+O7V55lUIcuPJJ1qFW4U+RWvtVOVqveCDHhHREVDC2u18JaIiIjIGlldaNuvXz/Vr3T8+PH6nl1r1qzRDyQmo+Aalji3adMGCxcuxLhx49SAGRLMSmsEGQDDsCeuBL8ySI9U1LZr104tU9ofaBYsWKCC2s6dO6vly8i70iuMipdUjhla8+YDql9vQZyPSMCp6zlBluz4D5q3J/uyeBXIFIYcVivh1Zf9GqqemvEp6epQXcPgNuwWh01LcCfB7b5LugpGbTArQ7nDqROTusHJ3s7kIaymMLAtWgfef0j/754NyquT+OBRXc9gIYdWy+Hd2iHew9pXVaGYtAOQbSfVjJNWnsDzbQLVIc/yPJTKaCHBrhZa5iahnYRVUqE59Od9JueR55+E99IDt9Gktfj8yYYq1LK3s8XHj9dXVdj5Ld/D2R7/vdtJVeNKyLfuRJgKU3/bo6u4FA/W9FXVha2DfBCdkIrfX2qNhpPWomZZd9WK4fm2gejVIOeHq9CbSarlxqJhrdQX7lZVfPDb3hAVrkoVuDj30cPq/gk5tP3vw1fVepX1NqZHbfXjyLazEarauWNN3ev/3Ydr4eDlG6hZzkNVykp7B61aUQLF7wc2U31S5fZ9SjmqQ9+1qtvhnaqr9Sjh6/mPe9x2mzva26rHaaicpzPe6FxdHUZjSJYr2//b55rhYMgN9bep1iT50SpXTbUnkWXlDmxFZR83FejfqQdr+amTkPeuvk111aZSoV+YKv17zc/DGf+9U/hDpGV73gunJncv8Ps0ERWm0pZri4iIiKyXVfW0tWT3uqdtp883q8Ojzb2nbX60Ppza/Za/pepw7sBm+svuhBQgyyti2attEejjqirWDA8f1iw/FKqq2LRDTIWES1rwZEj6BZoKYG/H2cEWyWmZ6j7988YD8HJxVOHQTzuCVQAlh/beTTiTG3vu3J91IpWbfx64ogJ5rReovC1r1fCzN59XFbzSKkQqd09fj1MVsq8+WE0/r/TmfG3hQVVhOvPpxnjpl/3qsjMfPnzbUEqCzLbZvWrl8H3pdSm9TaVdh2FFvgo83Rz1lb1PNvLF5D5N4OxY8N/+UtIz1GBSpg5Xlz7OQno5FwcJrsPiklXFfvEsn4OycL3w+XIvX0PsaVuye9p2/mKz+vFdPpf2G/yASvcGP/MsE7ebZeJ2s1zcdpYpkz1tySxYWcGPhE1aZd1/7zyoBtySVgQ9ZhSs6tZwtcivGNLLstGkdfkOcPFG9uHhhmF3fofo3UlgKySw9fd0xj9vtDc6LF/6a8qJrIOEqlLBasgwLJX+xHLSVCztatQXVOaValYJbXs1KI9udcupwHX10esFqiKU57hUjkqQKgORySm/+cTLHaqq/pxPNvQrdJWiVBabyGuLNazVSCBeXIEtERHdW9ouF3vaEhERkTWzuvYIVDIMaVfFKCQ1DJq0Q5/vpM+ZdhVtwCapLhRrj19X/Uelz6ShAXN3YeeFKEzpU19V1BY1Cety91ElMkV6PztnPwelL+vIh3S9kQtCerQWlPRMfadbjTytAIiIiO4V2ceTg1PY05aIiIisGUPbEsqw0Hb2M01gad7vVee289xN/8DYpDT9vyW4HZZ9uHlSWobq16mRwFaMWXoU/zOohjRFBm06Gx6vKhpnDGiEF37cp5Z1Osz0YFDSEoED11BBGbYckN7F1fxynqdERETWRCpspf85m7wRERGRNbs3I3CQ2apY2gUP19cNnmSt7iS8HfXHEf2/tX6fYvLKE3j2h90mr/PN5vO3XKYMAiXkkHLplZt7xPgX2lZRg0rJYejfPNOEgS0RERFRPn3KHWxt2B6BiIiIrBorbUsorWemQetMq/Rlv4ao5uuOR77eds/D8OiEVCSmZugD2ap+pdS/HexsUNdfN4BZ93rl4OJoh/bVfVG/omeeIJeIiIiIjGVkV9rKYJ5ERERE1oqVtmTVHm9cEfUqeOgHUbqVB6qXKbLbXTm8HWoYtFFwcbSFq4OdvtLW281RDWJWr4InXn2wmj6wJSIiIqJby8jU/QjOgciIiIjImjG0LaG0Alsbo+621ltVvH10JxWSfti7Hr57LqeH79znmmLh0Jbq31L9uvzVtniiaUX95R8/Xh/lPAo/qr2Xq6NRWwbpuSaj13ep7YdP+jS468dEREREVFJlSaWtrS1DWyIiIrJqDG1LOGtvj5Dbs60qo3PtnPYDXeuWg5+7k/p3/QqeaBjgpe89KzrU9MWusZ3x9dONjZYj4atmRJcaqrJWq+btVEt32Rudq+vnyczSnX8/qDnaVCu6il4iIiKiktkeQSpt7/c9ISIiIio+7GlbwsPaEpbZ6r3bqRKi03TtCqr5uatKXFMtFLxcHNR5yyo+GNS6Mn7aeUkfvu6/FI2Q6ETVgkHIMpLTMmCfXWHbvoYvFg1rhf5zdyEL/FZBREREVBQyZCAyO1baEhERkXVjaFvCaQOSlTSPN/CFn19OtWx+PW9dHXXBrq+7EyY+Vg/d65VXPWlF08re6mTIObtvrcbGoD0CEREREd092a+SH8nlXFollNT9WSIiIrJuDG1LKK2XLXdxTZNet7Y2Nnm+BLSu6lOo9SztFmSAs0FtAu94WxERERGRcaWtNnaABLfMbImIiMgaMbQt6ZjamiS9bouCVN7+MkQ30BkRERERFU1PW2mPoP3blju0REREZIU4EBkREREREVmMrOyByERmVhZ+3XUJbaduvN93i4iIiKhIsdK2hCrpA5ERERERkQUPRGZrq2+P8PHqk0hMzbjfd4uIiIioSLHStoTjwA1EREREZEkqebvCy9VBX2kr4xAQERERWRuGtiUcd3GJiIiIyJJsHvUgHm3kr6+6ZWZLRERE1oihbQnHnVwiIiIisjRadW1mVs6/iYiIiKwJQ9sS3haBO7lEREREZGm0fVgZlMyWmS0RERFZIYa2JdCei9E4eS32ft8NIiIiIqI7ogW1rLQlIiIia8XQtgTadDr8ft8FIiIiIqIiaI8gPW2z/y0JLhEREZGVYGhbwmk7uURERERElsI2+1uMBLV22f9OZ2hLREREVoShbQlkGNMysiUiIiIiSx6IzCZ7jzaDoS0RERFZEYa2JRwLbYmIiIjIktsjaP1tM7LYHoGIiIisB0PbEo6hLRERERFZdGibndpmZDC0JSIiIuvB0LaE0w4nIyIiIiKyFFp1bWZmThFCuvxBREREZCUY2pZArK4lIiIiImsYTFfXHiG70pbtEYiIiMiKMLQt4dW1DHCJiIiIyNLY2eaEtnZaaMuByIiIiMiKMLQt4dgcgYiIiIgstj2CtLHV2iOwpy0RERFZEYa2JR1LbYmIiIjIQtsjZBm0R5CqWyIiIiJrwdC2hGOlLREREZF5mTVrFgIDA+Hs7IyWLVtiz549t5x/yZIlqFWrlpq/fv36WL16dZ6A09Tps88+088jt5f78qlTp8LcK20zDNojpLM9AhEREVkRhrYlvLiWhbZERERE5mPx4sUYOXIkJkyYgAMHDqBhw4bo1q0bwsPDTc6/Y8cODBgwAEOGDMHBgwfRu3dvdTp27Jh+nmvXrhmd5s2bp0LZvn37Gi1r0qRJRvMNHz4cZt/TNjNnfzaToS0RERFZEYa2JRwrbYmIiIjMx7Rp0zB06FAMHjwYderUwZw5c+Dq6qqCVlO++uordO/eHaNGjULt2rUxefJkNGnSBF9//bV+nnLlyhmdli9fjgcffBBBQUFGy3J3dzeaz83NDebKsCWCjUGlbXxKOpLTMu7zvSMiIiK6ewxtS7gmlUrf77tARERERABSU1Oxf/9+dOnSRb8+bG1t1d87d+40uY5kuuH8Qipz85s/LCwMq1atUpW5uUk7BB8fHzRu3Fi1TkhPTzfb7aKvrpX2CNnfaDIys1Bvwr946Mst9/W+ERERERUF+yJZCllkda3s7I5+uNZ9vjdEREREJCIjI5GRkYGyZcsarRD5+9SpUyZX0vXr103OL9NN+emnn1RFbZ8+fYymv/7666pC19vbW7VcGDNmjGqRIJW/pqSkpKiTJjY2Vp1nZmaqU0HIfDKQWEHnN7U/m56Rc920DF2F7eXopDtaJqHYtxvdP9xulonbzXJx21mmzHv0GVfQ5TO0LcH8PV1gr5UmEBEREZHVkzYLzzzzjBq0zJD00dU0aNAAjo6OeOmllzBlyhQ4OTnlWY5MnzhxYp7pERERSE5OLvAXlpiYGPXlSCqKCyPmRpI6j4yKRmZ2RXBkZLT+8vx6ANPdu5vtRvcPt5tl4nazXNx2linzHn3GxcXFFWg+hrYlGAchIyIiIjIfZcqUgZ2dnWphYEj+lh6zpsj0gs7/33//4fTp02qws9tp2bKlao8QHByMmjVr5rlcKnENg16ptA0ICICvry88PDxQ0C9G0o9WrlPYL0bxNvHq3MPTC06O8vgT4e7ppb/cz8+vUMujgrub7Ub3D7ebZeJ2s1zcdpYp8x59xuX+8Tw/DG2JiIiIiMyAVLc2bdoUGzZsQO/evfVfHuTv1157zeR1WrdurS5/88039dPWrVunpuf2ww8/qOU3bNjwtvfl0KFD6stKfuGnVN+aqsCV6xTmS458MSrsdYS9nZ06z4KNvhBB/m14P6j43Ol2o/uL280ycbtZLm47y2RzDz7jCrrsYgltpUJAemDl3smLiopS06RXF91H2Xu2WVncCkRERETmtC8r1auDBg1Cs2bN0KJFC0yfPh0JCQkYPHiwunzgwIGoUKGCak8g3njjDXTo0AFffPEFevbsiUWLFmHfvn2YO3eu0XKlEnbJkiVqvtxk0LLdu3fjwQcfVP1u5e8RI0bg2WefRenS5jlorZ2tjX4gMtvsfVsZiIyIiIjIWhRLaCu9H0yRwQqkgoCIiIiIyFzdz33Zfv36qb6w48ePV4OJNWrUCGvWrNEPNhYSEmJUndGmTRssXLgQ48aNw9ixY1G9enUsW7YM9erVM1quhLnyuAYMGJDnNqViVi7/4IMP1GOsUqWKCm0N2x+YG1vbnKBW+3c6B8YiIiIiK1Kkoe2MGTP0pcTff/89SpUqpb9MKhK2bt2KWrVqFeVN0l1gT1siIiIi89uXlVYI+bVD2Lx5c55pTz75pDrdyrBhw9TJlCZNmmDXrl2wJHZadW1WTlMEqbolIiIishZFGtp++eWX6lx+xZ8zZ446tEwjVQmBgYFqOt1fOd2+iIiIiEjDfVnLoRUbZ0qlbXaAm57B0JaIiIisR5GGthcvXlTn0g9r6dKlZtsDi4iIiIgoN+7LWmClbWaWvr8te9oSERGRNSmWnrabNm0qjsVSEWFbBCIiIqL8cV/W/BkORKbt20qrBCIiIiJrUWShrQxUMHnyZLi5ud120IJp06YV1c0SEREREd017stalpyByHQ9iHX/ZmhLRERE1qPIQtuDBw8iLS1N/fvAgQP6nafc8pteFKKjozF8+HD8/fffalTdvn374quvvjIaRCK35ORkvPXWW2rEXBktt1u3bvjmm2/0I/Rqo/S+8sorqupCljVo0CBMmTIF9va61SetIGbPno1Dhw6pZdStW1eNvivLIiIiIiLzZw77snRnA5HZZW8S9rQlIiIia1Jkoa2Eox4eHvmOansvPPPMM7h27RrWrVundroHDx6sRslduHBhvtcZMWIEVq1ahSVLlsDT01ON1NunTx9s375dP1Jwz549Ua5cOezYsUMtf+DAgXBwcMDHH3+s5pGRhB966CH1t5eXF+bPn49HHnkEu3fvRuPGjWGu+J2DiIiIyHz2ZekO2iNkSnuEnACXiIiIyFpkj7t69yScjIyMVP8OCgpCVFQU7qWTJ09izZo1+P7779GyZUu0a9cOM2fOVBW0V69eNXmdmJgY/PDDD6pdQ6dOndC0aVMVuEo4u2vXLjXP2rVrceLECfz6669o1KgRHn74YdUGYtasWUhNTVXzTJ8+He+88w6aN2+O6tWrq/BWzqXil4iIiIjM3/3el6XCsTVoiaDVPrM9AhEREVmTIgttpcJUG3E3ODgYmZmZuJd27typ7kOzZs3007p06aLaJEjFqyn79+9XFbkyn6ZWrVqoVKmSWp623Pr16xu1S5C2B7GxsTh+/LjJ5cpjj4uLg7e3N8yRTfauLYsRiIiIiMxjX5burNJWqmu1+tp09rQlIiIiK1Jk7RGkf2yHDh1Qvnx5dYiShKd2dnYm571w4QKK2vXr1+Hn52c0TXrOSnAql+V3HUdHR7WTbkgCWu06cm4Y2GqXa5eZ8vnnnyM+Ph5PPfVUvvdXet/KSSMhsJAvCEX5JUGWlZWVlWuZOYeOlcQvJKbXCXG98LnC1xDfV/h+y88hS/kMKo7P8Pu9L0uFk53ZqvYImdmVCPJvIiIiImtRZKHt3LlzVS/Yc+fO4fXXX8fQoUPh7u5+18sdPXo0Pvnkk9u2RjAX0j934sSJWL58eZ4Q2ZAMZCbz5RYREaEGRysq8qVG2kDIFyGpOhYJCQm6yzIyEB4ejpLG1Dohrhc+V/ga4vsK32/5OWQ5n81yRFNRK659WSoeEqxLta1U12pHj7HSloiIiKxJkYW2onv37vq2A2+88cZtd3SvXLkCf3//W+6cv/XWW3j++edvuRzpOyYDheUOINPT0xEdHa0uM0WmS1/amzdvGlXbhoWF6a8j53v27DG6nlyuXWZI+ue++OKLalAzw5YLpowZMwYjR440qrQNCAiAr6+vfhCMovoSJDu1slxtPbu56ap6pXrkVsGytTK1Tojrhc8Vvob4vsL3W34OWc5ns7Ozc7Hcj+LYl6XiY2djo6pstUrb9AweRUVERETWo0hDW40M5lUQderUwaFDh1Tomh/ZeZfT7bRu3VqFr7KTLQOKiY0bN6ovATIwmSkyn4ODAzZs2KAOiROnT59GSEiIWp623I8++kgFwlrAuW7dOhWsyv3X/Pbbb3jhhRdUcNuzZ8/b3l8nJyd1yk12+ot6x1++BBkuVxthV1rbltQvGbnXCXG98LnC1xDfV/h+y88hy/lsLu7P76Lcl6XiI0+DDINK2zSGtkRERGRF7mtiJYfAFZXatWur6gg5lE0qY7dv347XXnsN/fv3VxUQIjQ0VA00plXOenp6YsiQIariddOmTSrwHTx4sApqW7Vqpebp2rWr2iF/7rnncPjwYfz7778YN24cXn31VX3oKi0RBg4ciC+++EIFxNLrVk5ymJ850kbYJSIiIiLz2JelO6u0VaFt9ngNqemstCUiIiLrYVVlhgsWLFChbOfOndGjRw+0a9dO9SfTpKWlqUraxMRE/bQvv/wSvXr1UpW27du3Vy0Pli5dqr9cWgisXLlSnUuY++yzz6qAdtKkSfp55DakFYMEuTJ4hXaSw+qIiIiIiKjo2dpmt0fIzmpTWGlLREREVqRY2iPcL97e3qrqNT+BgYF5KiKkJ9qsWbPUKT+VK1fG6tWr87188+bNsEQ2rLklIiIiIgslA5FJTqv1tGWlLREREVkTq6q0pYLRWtoSEREREVn6QGRaSQZ72hIREZE1ua+hrX5ALCIiIiIiC8N92fvfHkE3EBkrbYmIiMj6WM1AZERERERE9xL3Zc1jILLM7K8UKRyIjIiIiKzIfe1pe+LECfj7+9/Pu1AisSqEiIiI6O5xX/b+97RV7RGyC0HYHoGIiIisSZGGtn369CnQfEuXLlXnAQEBRXnzRERERER3jPuylsXWFkaVthyIjIiIiKxJkYa2np6eRbk4IiIiIqJ7hvuyFtgewaDSlu0RiIiIyJoUaWg7f/78olwcFTOOA0dERESUg/uyljcQWaYMRJb9NyttiYiIyJrc14HIiIiIiIiI7nwgMqi+tiJV/iAiIiKyEgxtiYiIiIjIYgciy8zOalPSGNoSERGR9WBoWwKxLQIRERERWTpbVWmb0x4hjZW2REREZEUY2hIRERERkUVW2hoORMb2CERERGRNGNoSEREREZFlhrYZWfqetmyPQERERNak2ENbDw8PXLhwobhvhgrBBjZcX0REREQFwH1ZS6i01f3N9ghERERkTYo9tNUOVyLzw+iWiIiI6Na4L2u+7GxskJmZU2mbms6ByIiIiMh6sD1CCcY4nYiIiIgsla0tjCptUxjaEhERkRUp9tD22WefVYeVkfmwYYktERERUYFwX9bM2yNkZukLETgQGREREVkT++K+gdmzZxf3TdAdYnZLREREdGvclzVfttIeISunPQIRERGRNWF7BCIiIiIisthK29yhLY8qIyIiImvA0JaIiIiIyIzMmjULgYGBcHZ2RsuWLbFnz55bzr9kyRLUqlVLzV+/fn2sXr3a6PLnn38eNjY2Rqfu3bsbzRMdHY1nnnlGtTXz8vLCkCFDEB8fD3MfiCwjUwaLy1uBS0RERGTpGNqWQNyNJSIiIjJPixcvxsiRIzFhwgQcOHAADRs2RLdu3RAeHm5y/h07dmDAgAEqZD148CB69+6tTseOHTOaT0Laa9eu6U+//fab0eUS2B4/fhzr1q3DypUrsXXrVgwbNgzmzNZW1x4hb2h7v+4RERERUdFhaEtEREREZCamTZuGoUOHYvDgwahTpw7mzJkDV1dXzJs3z+T8X331lQpkR40ahdq1a2Py5Mlo0qQJvv76a6P5nJycUK5cOf2pdOnS+stOnjyJNWvW4Pvvv1eVve3atcPMmTOxaNEiXL16FeZdaSuhba72CCxRICIiIitQbAORZWRk4K+//lI7gUJ2IuVXf3v7Yh/7jApIDo0jIiIiIvPYl01NTcX+/fsxZswY/TRbW1t06dIFO3fuNHkdmS6VuYakMnfZsmVG0zZv3gw/Pz8V1nbq1AkffvghfHx89MuQlgjNmjXTzy+3Kbe9e/duPP744zDXnra6gciMp3MXl4iIiKxBsex1yqFVjz76KK5fv46aNWuqaZ988gl8fX3x999/o169esVxs1RA3JElIiIiMr992cjISBUWly1b1mi6/H3q1CmT15H7aGp+ma6RStw+ffqgSpUqOH/+PMaOHYuHH35YhbV2dnZqXgl0DUk47e3tbbQcQykpKeqkiY2NVeeZmZnqVBAyn1TJFnR+U/u06Rl5ByKTnrZ3ukwq/u1G9we3m2XidrNc3HaWKfMefcYVdPnFEtq++OKLqFu3Lvbt26c/9OrGjRtqEATpjSW9t4iIiIiIzJG17cv2799f/28ZqKxBgwaoWrWqqr7t3LnzHS1zypQpmDhxYp7pERERSE5OLvAXlpiYGPXlSKp6CystNQXJKakq6La3tUG6vuQ2K98ewHT37na70f3B7WaZuN0sF7edZcq8R59xcXFx9y+0PXTokNFOrpB/f/TRR2jevHlx3CQVAvt8EREREZnfvmyZMmVU5WtYWJjRdPlb+tCaItMLM78ICgpSt3Xu3DkV2sq8uUPO9PR0REdH57scaeFg2JZBKm0DAgJUNbKHh0eBvxhJuy65zp18MXJzuQ67pCzAJhWujkBscrq+bULuymEqOne73ej+4HazTNxulovbzjJl3qPPOGdn5/sX2taoUUPtLEqFgiHZGaxWrVpx3CQRERERkUXvyzo6OqJp06bYsGGD6p+rfXmQv1977TWT12ndurW6/M0339RPW7dunZqenytXriAqKgrly5fXL+PmzZuqn67cvti4caO6bRmYzBQZ2ExOuckXnMJ8yZEvRoW9Tu6etlJf6+Jopw9tpUCBYWLxupvtRvcPt5tl4nazXNx2lsnmHnzGFXTZxXIP5HCp119/HX/88YfaKZST/Ft2JqUfmPwSr52IiIiIiMzJ/dyXlerV7777Dj/99JMaBO2VV15BQkICBg8erC4fOHCg0UBlb7zxBtasWYMvvvhC9b394IMPVJWwFvLGx8dj1KhR2LVrF4KDg1XA+9hjj6nwWQYs0wZZk763Q4cOxZ49e7B9+3Z1fWmr4O/vD3MloW1GFtQhjC4OdvrpucYlIyIiIrJIxVJp26tXL3X+1FNPqYRayM6UeOSRR/R/y2XSg4qIiIiIyFzcz33Zfv36qb6w48ePV4OANWrUSIWy2mBjISEhRtUZbdq0wcKFCzFu3Dg1wFj16tWxbNky/WBp0m7hyJEjKgSWaloJYbt27YrJkycbVcouWLBABbXSLkGW37dvX8yYMQPmzFYqbTNlIDKptM35WpN7YDIiIiIiS1Qsoe2mTZuKY7FUxHRfQYiIiIjInPZlJTzNrx2CDB6W25NPPqlOpri4uODff/+97W16e3ur8NeSaIOPSUjr6phTacvQloiIiKxBsYS2HTp0KI7FUhHJLhjhoWNEREREJnBf1jLY2ugqbWWn1qg9AgttiYiIyAoUS09b6aUlAxfkFhMTgwEDBhTHTRIRERERFQnuy1oGXU9bXaWtDESmYWhLRERE1qBYQtsffvgB7dq1w4ULF4wO5apfvz7Onz9fHDdJd4DtEYiIiIjy4r6s5YS2+p62BpW2bI9ARERE1qBYQlsZ7KBixYpq4AQZ/VZGrJUBD5577jns2LGjOG6SiIiIiKhIcF/WctojSKWt/MfQloiIiKxNsfS0LV26NH7//Xc1gu1LL70Ee3t7/PPPP2o0WiIiIiIic8Z9WctgZwtkaJW2hu0R7uu9IiIiIjLjSlsxc+ZMfPXVV6qHbVBQEF5//XUcPny4uG6OCsFGG4mMiIiIiEzivqz5s8seiCwrKwuuuXrayjQiIiIiS1YsoW337t0xceJE/PTTT1iwYAEOHjyI9u3bo1WrVvj000+L4yaJiIiIiIoE92Utg232QGSSzxq2RxDMbImIiMjSFUtom5GRoXqBPfHEE+pvFxcXzJ49G3/88Qe+/PLL4rhJIiIiIqIiwX1Zy6m0zcjUDTxm2B5BsM6WiIiILF2x9LRdt26dyek9e/bE0aNHi+MmqRDYHIGIiIgof9yXtZxKWwlspaetc65KW5lux71eIiIismDF1tP2v//+w7PPPovWrVsjNDRUTfvll19w6tSp4rpJIiIiIqIiwX1Z82cn7REksZVKFFubPKEtERERkSUrltD2zz//RLdu3VRbBOlnm5KSoqbHxMTg448/Lo6bpDvBklsiIiKiPLgvazntEdKlP4J8qck10C4zWyIiIrJ0xRLafvjhh5gzZw6+++47ODg46Ke3bdsWBw4cKI6bJCIiIiIqEtyXtZz2COnZlba5ixEY2hIREZGlK5bQ9vTp02jfvn2e6Z6enrh582Zx3CQVQq5CBCIiIiIywH1Zy2BnA31om7vSlu0RiIiIyNIVS2hbrlw5nDt3Ls/0bdu2ISgoqDhukoiIiIioSHBf1vJ62uZqaQt2tCUiIiJLVyyh7dChQ/HGG29g9+7dsLGxwdWrV7FgwQK8/fbbeOWVV4rjJomIiIiIigT3ZS2nPUJ+R5JJpe2mU+FITsu493eMiIiIyFxD29GjR+Ppp59G586dER8fr1olvPjii3jppZcwfPhwFJfo6Gg888wz8PDwgJeXF4YMGaJu/1aSk5Px6quvwsfHB6VKlULfvn0RFhZmNE9ISAh69uwJV1dX+Pn5YdSoUUhPTze5vO3bt8Pe3h6NGjWCudLv07IEgYiIiMhs9mWpcOwNQtvc7RHCY5Mx+Me9+Ozf01ytREREZJGKJbSV6tr33ntPhajHjh3Drl27EBERgcmTJxvNd+XKFWRm6kZ8LQoS2B4/fhzr1q3DypUrsXXrVgwbNuyW1xkxYgT+/vtvLFmyBFu2bFFVwX369NFfnpGRoQLb1NRU7NixAz/99BN+/PFHjB8/Ps+ypF/vwIED1Q4+EREREVmm+7UvS4WTO6g1lJCiq7CNik/haiUiIiKLVCyhrcbR0RF16tRBixYtVBVrbnJZcHBwkdzWyZMnsWbNGnz//fdo2bIl2rVrh5kzZ2LRokUqiDUlJiYGP/zwA6ZNm4ZOnTqhadOmmD9/vgpnZedcrF27FidOnMCvv/6qqmcffvhhtcM+a9YsFeQaevnll1VVRuvWrWHuX0SIiIiIyHz2ZenOetrmF+CmZejCdDvbYv26Q0RERFRs7uteTFZW0R2fv3PnTtUSoVmzZvppXbp0ga2treqta8r+/fuRlpam5tPUqlULlSpVUsvTllu/fn2ULVtWP0+3bt0QGxurqno1EvZeuHABEyZMgKVgdwQiIiIi89iXpbsPbYe1D0I5D2f1d2p2aGvYQoGIiIjIktjDSly/fl31mzUkvWW9vb3VZfldRyooJOw1JAGtdh05Nwxstcu1y8TZs2dV77P//vtP3WZBpKSkqJNGQmAhh9gV5WF2siz5QmG4TO0LRu7pJYWpdUJcL3yu8DXE9xW+3/JzyHI+m/kZTrmra+WfY3vURotAb7z48z6kpmeHtnYMbYmIiMgymX1oK2HoJ598ctvWCPeL9LyVlggTJ05EjRo1Cny9KVOmqOvkJv3SZHC0oiJfaqQNhHwRkqpjER8fp87TMzIQHh6OksbUOiGuFz5X+Bri+wrfb/k5ZDmfzXFxun0ZKtmMK22zz7OfPinZoa2DHff1iIiIyDKZfWj71ltv4fnnn7/lPEFBQShXrlyeADI9PV0NICGXmSLTpS+tDCBmWG0bFhamv46c79mzx+h6crl2mXxp2LdvHw4ePIjXXnvNqFpEqm6lJ670y81tzJgxGDlypFGlbUBAAHx9feHh4YGiIvdFetjKcrUvQaVKJalzOzu7PNXJJYGpdUJcL3yu8DXE9xW+3/JzyHI+m52ddYfAU8lmXGlrY3SenJaRJ9glIiIisiT25j4gluy8y+l2ZPAvCV+lT60MKCY2btyovgTIwGSmyHwODg7YsGED+vbtq6adPn0aISEh+sHE5Pyjjz5SgbAWcK5bt04FqzL4hFz/6NGjRsv95ptv1G3/8ccfqFKlisnbdnJyUqfc5ItKUQeJsp4Nl2ubvfMq/y+poWXudUJcL3yu8DXE9xW+3/JzyHI+m83l85uDu95fhoGsTa5zLbRlT1siIiKyVPbWMnhD7dq10b17dwwdOhRz5sxRA4xJ5Wv//v3h7++v5gkNDUXnzp3x888/q1GAPT09MWTIEFXxKr1vJYgdPny4CmpbtWqlrtO1a1cVzj733HP49NNPVR/bcePG4dVXX9WHrvXq1TO6LxLuSgVI7unmgvUGRERERHePA5HdX4adD7SqW+08OY09bYmIiMiy3dfQ9sSJE/pAtSgsWLBABbUSzEoFhlTPzpgxQ3+5BLlSSZuYmKif9uWXX+rnlYHBunXrpiplNdJCYOXKlXjllVdUmOvm5oZBgwZh0qRJRXa/iYiIiMjyFPW+LBWOnUHFtfZPLbRN0rdHMI+qbCIiIqL7Gtr26dOnQPMtXbpUnUsP16Ik1bILFy7M9/LAwMA8FRFSETtr1ix1yk/lypWxevXqAt+PDz74QJ2IiIiIyHLc731ZKhwHo/YIWk9b3d9sj0BERESWrkhDW2k3QJaj6JpTEBEREVk+7staFnuD/ghaWJsT2uraI3AgMiIiIrJURRrazp8/vygXR8WlAAPAEREREZU03Je1LA52Nrfoaatrj5CRyTIFIiIiskxs8lQSFeEAcERERERE94ODqUrb7L8Z2hIREZGlY2hbgjG7JSIiIiJLZW+q0ja7zy1DWyIiIrJ0DG1LINbZEhEREZGls7fNW2mrjU2WpLVHYJUCERERWSiGtiVYFuNbIiIiIrKCnrY2+sYINkYDkWXm09M2MTUdaRm6eYiIiIjMEUNbIiIiIiKy6J62WoWtdq61R0jPJ7R9ft5ezNl8/h7cSyIiIqI7w9C2BOJRYkRERETma9asWQgMDISzszNatmyJPXv23HL+JUuWoFatWmr++vXrY/Xq1frL0tLS8O6776rpbm5u8Pf3x8CBA3H16lWjZcjt2djYGJ2mTp0Ki+lpm53War1tb9fTNjI+RZ2IiIiIzBVDWyIiIiIiM7F48WKMHDkSEyZMwIEDB9CwYUN069YN4eHhJuffsWMHBgwYgCFDhuDgwYPo3bu3Oh07dkxdnpiYqJbz/vvvq/OlS5fi9OnTePTRR/Msa9KkSbh27Zr+NHz4cJgzB8Oettp5rp62mflUK0gFbn5VuERERETmgKFtCZTFUlsiIiIiszRt2jQMHToUgwcPRp06dTBnzhy4urpi3rx5Juf/6quv0L17d4waNQq1a9fG5MmT0aRJE3z99dfqck9PT6xbtw5PPfUUatasiVatWqnL9u/fj5CQEKNlubu7o1y5cvqTVOZaSqWtVAYbV9pm3rLSVqanZzC0JSIiIvPF0JaIiIiIyAykpqaqMLVLly76aba2turvnTt3mryOTDecX0hlbn7zi5iYGBVyenl5GU2Xdgg+Pj5o3LgxPvvsM6Snp8PSetpqlba3a4+gQltW2hIREZEZs7/fd4DuHxbcEhEREZmPyMhIZGRkoGzZskbT5e9Tp06ZvM7169dNzi/TTUlOTlY9bqWlgoeHh37666+/rip0vb29VcuFMWPGqBYJUvlrSkpKijppYmNj1XlmZqY6FYTMJ0eAFXT+3AwKbdWOrVpO9g6u1h4hPZ/7I9Pzu4yKd7vR/cHtZpm43SwXt51lyrxHn3EFXT5D2xKIB4IRERERlTwyKJm0SZAvI7Nnzza6TProaho0aABHR0e89NJLmDJlCpycnPIsS6ZPnDgxz/SIiAgVDBf0C4tU/cr9kYriu3Hz5g2EO6Xixo0ko0rbxMQkk/2A0zMykZDPZXTvthvdO9xulonbzXJx21mmzHv0GRcXF1eg+RjaEhERERGZgTJlysDOzg5hYWFG0+Vv6TFrikwvyPxaYHvp0iVs3LjRqMrWlJYtW6r2CMHBwaoXbm5SiWsY9EqlbUBAAHx9fW+7bMMvRtKmQa5zt1+MfLy94efniZtZui9Badn9au0dneDn56efb82x67iZlAbpjGDn4Gh0GeGebze6d7jdLBO3m+XitrNMmffoM87Z2blA8zG0LcFtEdgegYiIiMh8SHVr06ZNsWHDBvTu3Vv/5UH+fu2110xep3Xr1uryN998Uz9NBh6T6bkD27Nnz2LTpk2qb+3tHDp0SH1ZyS/UlOpbUxW4cp3CfMmRL0aFvY4p2jLsDfrcCglnDZe95ngYrsckq+kZmcaXEe75dqN7i9vNMnG7WS5uO8tkcw8+4wq6bIa2RERERERmQqpXBw0ahGbNmqFFixaYPn06EhISMHjwYHX5wIEDUaFCBdWeQLzxxhvo0KEDvvjiC/Ts2ROLFi3Cvn37MHfuXH1g+8QTT+DAgQNYuXKl6pmr9buV/rUSFMugZbt378aDDz4Id3d39feIESPw7LPPonTp0rAEttoIZLDJFdpmmRiATNfPNoM9WYmIiMiMMbQtgdjTloiIiMg89evXT/WFHT9+vApXGzVqhDVr1ugHGwsJCTGqzmjTpg0WLlyIcePGYezYsahevTqWLVuGevXqqctDQ0OxYsUK9W9ZliGpuu3YsaOqmJWw94MPPlCDi1WpUkWFtobtD8ydtkpsjTNbFdIa0oW1WdnhLfeKiYiIyHwxtCUiIiIiMiPSCiG/dgibN2/OM+3JJ59UJ1MCAwPVYBq30qRJE+zatQuWzCa7wjan4tZ0aKuFteo8u+8tERERkTliEyIiIiIiIrJoWoWtzW0rbXVhra6nLUNbIiIiMl8MbUsgrdqicSWv+31XiIiIiIjumhbW5qm0zZXLSlCbkp6h/p3GnrZERERkxhjalmCfP9nwft8FIiIiIqIiGelZd248PfdgY1Jlm5Kum8ZKWyIiIjJnDG1LqFJO9nB2sLvfd4OIiIiI6K5pFbZaeHurnrZaaMuetkRERGTOGNqWULmKEIiIiIiILH7fVuttq6bZALk7IGRkZSFVC23ZHoGIiIjMGENbIiIiIiKyikpbw562Lg52KqTNPRCZ1tNW/k1ERERkrhjalkC59l2JiIiIiCyaltUadkeQVmC5g1npcZuWPToZe9oSERGROWNoW1KxPwIRERERWVtoa7CT62xvi8xcoa1hH1v2tCUiIiJzxtC2BMoCS22JiIiIyPLZZTexzWmPkHOZk7RHMDEQmYY9bYmIiMicMbQtoVhoS0RERESWzi5XL1vDnrbSHkFC2nPhcSZDW7ZHICIiInPG0JaIiIiIiCy60tZ0T1tbnA6LQ5dpW3EtJklNM+xxy4HIiIiIyJwxtC2BOBAZEREREVkD+zyhrWFPWzv9v+OS0/O2RzDob0tERERkbhjallCGO7RERERERJbI9hY9baXSVpOanpmnjy172hIREZE5Y2hbArGmgIiIiIisqtIWJiptHXIqbdMydGEte9oSERGRpWBoW0Kx0JaIiIiIrLvS1s5EpW1O+UJaRhay2DeMiIiIzBRDWyIiIiIisuhK25zQ1rDS1tYooBUZufrYGmS4RERERGaFoW0JxIICIiIiIrIGdlpprYnhGpwMBiJLzcjIU2mbu8ctERERkTlhaFtCcRgyIiIiIrKW0FbLbo0rbQ3bI2RX2uYKbf86EIqYpLR7c2eJiIiICoGhbQmUxaHIiIiIiMgK2NncqqetYXuETJOVtaOXHsXYpUfvzZ0lIiIiKgSGtiWU4ci6RERERESWXGmr7doa7uO65BqILDMzy2QP22sxSffgnhIREREVDkNbIiIiIiKy8PYIeSttneyNK20z8hnYITmNfW2JiIjI/DC0LYE4EBkRERERWXulrX6QMi20zcwntE3XDVKWnJaBk9dii/cOExERERUQQ9sSis0RiIiIiMjS2WuhrYm9W1uD0DYlPRPp+YS2KdmVtssOhqLv7B3Fdl+JiIiICoOhLRERERERWUWlralAV6RlZCEjI7/2CLpK25ikNCSmZiA9e9AyIiIiovuJoW0JxXHIiIiIiMjS9W1aUZ3bmdi51frcau0R0jMzbxnaar1tpSrX2q07EYZNp8ONpmWxhxoREZFZYWhbAnGHjIiIiIiswTMtKyN4ak+jVgimetqmpuff01YLaZP04a3u3FIdDLmBU9dv3Zv3i7Wn8f1/F/R/X4pKQJ3x/+JiZILRfDcSUpGYml5s95WIiIhKSGgbHR2NZ555Bh4eHvDy8sKQIUMQHx9/y+skJyfj1VdfhY+PD0qVKoW+ffsiLCzMaJ6QkBD07NkTrq6u8PPzw6hRo5CebrzzkpKSgvfeew+VK1eGk5MTAgMDMW/ePJgvdrUlIiIiIuuVeyCy/HraatO1sNbSK22nrD6FL9edyfdyCWHPhMXhekyyftrhKzEqtN5zMUqth7BY3WUv/7of/efusvggm4iIyBJZVWgrge3x48exbt06rFy5Elu3bsWwYcNueZ0RI0bg77//xpIlS7BlyxZcvXoVffr00V+ekZGhAtvU1FTs2LEDP/30E3788UeMHz/eaDlPPfUUNmzYgB9++AGnT5/Gb7/9hpo1axbbYyUiIiIiovwZVdpm5F9pK5JSMwzaJFh2QHkjMRURcSl5pscmp2Hn+SgcvxoLWRVhsTnznAvXFbqsOXYd9Sb8izZTN6qj82T6kSsxmPj3CXX5yWuxCBr7D67FpqiK3p93Bue5nZCoRDwycxvC43JCYSIiIio8e1iJkydPYs2aNdi7dy+aNWumps2cORM9evTA559/Dn9//zzXiYmJUSHrwoUL0alTJzVt/vz5qF27Nnbt2oVWrVph7dq1OHHiBNavX4+yZcuiUaNGmDx5Mt5991188MEHcHR0VLcrge+FCxfg7e2tliOVtuaK7aqIiIiIyNoZ9rmV9gj5VdqKm0mpVlNpezMpDcnpeYPnJfuu4OPVJzHyoRrq7/iUdMQlp8Hd2QHns0PbTacj9POfCYtHVEIq2tfwxW97QvBgTV+ci9DN9++paKw/exHnIhJQppQTetQvr7/e8kOhOBoao/rmSvsKIiIiKuGVtjt37lQtEbTAVnTp0gW2trbYvXu3yevs378faWlpaj5NrVq1UKlSJbU8bbn169dXga2mW7duiI2NVVW9YsWKFep2P/30U1SoUAE1atTA22+/jaSkJJgrDkRGRERERNbMNld7hIx8BiITNxLSzL6n7aHLN7H/UvQt55Hq2JikNFVpm3sci6s3k1S18V8HQ+For/saqLVB0CptxQttq+irbsUbnaujYUVPLDsUitAbuu83c3ZcVYFtNb9SmLPlvNHt/HtCd71Np3QDna09fh0Ld4foL/9z/xVExeetBCYiIiIrrbS9fv266jdryN7eXlW+ymX5XUcqZSXsNSQBrXYdOTcMbLXLtcuEVNhu27YNzs7O+OuvvxAZGYn//e9/iIqKUpW7pkgPXDlpJAQWmZmZ6lRUZFmyw2a4zMzsHbiivB1LYmqdENcLnyt8DfF9he+3/ByynM9mfoZTQdgbhbZZyLjF00tXaZtp1pW2vWdtV+cy8Fp+5DFIVbFWSStVtBrDgLZLbT+sPxmOFYevoVOtDDUA2bD2QarP7Vtda2DF4av459g1NX+AtwseqlMWszefR1W/UvB2dVDfJ55tVVlV2X68+hTe++uoqq6VwPdYaCzqVfDAtnORWH8iDGOWHlXtKZ5sVhHxyel4a8lhvNejNoa2DyrmNUZERGTZzD60HT16ND755JPbtka4n+SLg42NDRYsWABPT081bdq0aXjiiSfwzTffwMXFJc91pkyZgokTJ+aZHhERoQZHK8r7Jm0g5IuQVB2LhIQEZGVmIjxc9+t3SWNqnRDXC58rfA3xfYXvt/wcspzP5ri4uHtyv8h6Km117REyb9nT1twrbQtCqmw1Um3rYGeLL9efwSsdqupDWyEhrIS2MzacVSdHO1v0bVIRNcu5q8sldN18OgLODrbwLeWEh+qUw+drz6j+tqO61UDf2u6qYObg5ZsqkF2QXUn7wd+6IxG/fKoRRi89ihd/3qeO8JOakT7f7ECzwNLq8guRtx4smoiIiCwgtH3rrbfw/PPP33KeoKAglCtXLk8ImZ6ejujoaHWZKTJdBhi7efOmUbVtWFiY/jpyvmfPHqPryeXaZaJ8+fKqLYIW2ArpiytfPK5cuYLq1avnue0xY8Zg5MiRRpW2AQEB8PX1hYeHB4o6UJblal+C3NxiYWsblacyuaQwtU6I64XPFb6G+L7C91t+DlnOZ7Mc3URUqJ62txmITKprUyykp21mZhYW7b2M9jXKoGJpV8QkpsHT1UFfMWwY2i4/dBXfbrmAGn7uuG4Q2rao4qP/97SnGqJ1VR+U98wpNOlcy0+FtlK5K6/NGmVLoWudslh7Igw1y+qCXVG7vAckG5dV27NBeaw6cg1Bvm6oXtYdS15qjT3B0Wq9P/P9blWJKydxPjyh2NcTERGRpTP70FZ23uV0O61bt1bhq/Spbdq0qZq2ceNG9SWgZcuWJq8j8zk4OGDDhg3o27evmnb69GmEhISo5WnL/eijj1QgrIWc69atU8FqnTp11N9t27bFkiVLEB8fj1KlSqlpZ86cUV86KlasaPK2nZyc1Ck3uU5RB4myo2W8XN0ObEkOLPOuE+J64XOFryG+r/D9lp9DlvLZbO2f37NmzcJnn32mWnE1bNhQDa7bokWLfOeX/dD3338fwcHBqlhAjlKTwXg1UkgwYcIEfPfdd2p/WfZdZ8+ebVRYIIUOw4cPx99//63Wr+wbf/XVV/p9W0tvj3C7gcikutZSKm1PXIvF2L+OYninaqpitu/sHZg5oLEKWR9vXEE/n4S0C3ZfUv8Oj0tBWGwKXBzsVD/bQB9XNb1iaRf0aZL3+4oMICbBsISy2uvz66ebYNnBULSrVgY3oyPVdFdHe1T1LQVnBzv0blRBhbbNK3vrK51bBenC4RkDGuPH7RdxIOSm+puVtkR0v8kPSkeu3ETjSrojAHKTFjO/7LyEga0rw83J7KMzs7T1TAQ8XRzQMMC4JSkVnNXs8Upla/fu3TF06FBVGbt9+3a89tpr6N+/P/z9/dU8oaGhaqAxrXJWKmOHDBmiKl43bdqkAt/BgweroLZVq1Zqnq5du6pw9rnnnsPhw4fx77//Yty4cXj11Vf1oevTTz8NHx8fdd0TJ05g69atGDVqFF544QWTrRHMAQciIyIiIjI/ixcvVvumErIeOHBAhbYyCG5+ba127NiBAQMGqH3agwcPonfv3up07Ngx/TwyWO6MGTMwZ84cNUCvm5ubWqZhS65nnnlGDbIrxQkrV65U+7PDhg2DdQ1ElhPaOmUPxKXtF0tFqbn3tNX8sf+KOj8WGoPT1+NUv96Xfz2gQtbQmzkDIe+/dAOR8an6eSW4HtOjFuY931yFsAfefwhrR7TPd92tHN4Onz3RQD9Nwt6nmgfoBzHTjO1RG+/1rI0WVbxVKNyuepk8y3u0oT8+f7Kh+rero526X1IhLE5cjcVPO4LVv3dfiMKp67qxPoiKi7wf0K3Jj32GLVUKK/dAiPmRYFR+KPtgxXF1e5ei8lbh7zwfhSs3Ek1eX97n5D3xVkdS5Ed+hHr8mx3YdjbS5P1/c9FBfLLmlOrxnZKegeDI4j9CQNbFLzuD9Y9HO5dBKLX3dznaQv4u6Dq+l6+rHeeN1+X45ccwfoWubc6tyGeA9Ea/HG16O2ttjOSxFwVZd9Jz/UZCztEpYs2xa5i86qR+HChzYDWhrZCeshLKdu7cWVUXtGvXDnPnztVfnpaWpippExNznghffvklevXqpaoJ2rdvr1oeLF26VH+5nZ2d2nGVcwlzn332WQwcOBCTJk3SzyMVCLKDK5ULzZo1Uzu9jzzyiNo5NkdZMJ8nIBERERHlkHERpAhBigGkcECCVldXV8ybN8/kapJqWClckIIBKWKYPHkymjRpgq+//lr/xWT69Omq6OCxxx5DgwYN8PPPP+Pq1atYtmyZfnyINWvW4Pvvv1dHqMk+tFT3Llq0SM1nqexyhbbpGaZDW/m3fFHWKmy1NgnFTbaNfAktrD+zQ9vjV2NxLSY5T4Ahyns6Y/s53ZfnRgFe2Bscrf5dr4InmlbWVZV5uzmqStn8SLArp9t5sJafqqiVaqrtozuhV4PyJuerUsYNDSp64smmusres+G63tRT/jmJiX8fR1R8Cl777SAmrjihpktI8vXGs0hMTS/AWiEqGPmRoP4H/xr9wHGvSACnvc9sOhWOM2Fxt+1RXVyV/7mXq70HztxwFnsuRuP5+XvR8uMNOHxZVx1/OxK2/bZH19s6LjlNDZz47h9HVMiWbiIk33EuUoWx9Sb8i2YfrsePO4Lx6oID6PDZZnX7QgK16IRUDPt5H8YtO6ZfhxJYaj5adQJvLzmMPrN36ANfLcyU+zR/+0X197WYpDwhtLyHilmbzqnlypEJ87ZdVNM2nQ5Xfb/FxlPh+HTNaXT/aisi43MGk8+P3N7m0+GYt/0iIrJ/ONPuj2G4vHhviDoCwdCGk+F4f/lxHAy5gc//PY2eM/5Tg0f2nb0TL/2yDyMXH8J7y46pv3ecj8p+HDH64FmeU/KDWEhUIoLGrMKh7O0n9+n9ZcfUwJCGZPBJuU9ye+OWHVW3dS77vbmwZF0//d1uVb0s79vnI+IRHJWonkOL9oQYBaTy3NY+r+Q58tHqk6o3+rt/HjFa5vJDoep5IeSoknafbFRBv0aeW/LZUVCybmQbfr3xnOq5/tWGs+pzWJ4D8sPmb3suqx85bc2oytGqary9vb2xcOHCfC8PDAzM82uE9ESTQ9DklJ/KlStj9erVt7xtCYsluLUUNtktEoiIiIjIPMhYC3Lkl4x9oJFWBV26dMHOnTtNXkemG46TIKSKVgtkL168qNosyDI0crSZhLNyXTkqTc5lfAcpPtDI/HLbUpn7+OOPwxIZ7u3KlzGjSlsHOyBZ98VPDu2X6tqc9gj3pgpPqrc+XHUSe8Z2vmU4ui84GhcjE9RgYdKbNy4lHZV9XHEpKlF9OTYkX4JLOdmjrr+HChzcnexVSKt9cS/rUbz9oCUIzo88xhWvtVNh7D/HrqtAIyohFf9lhw3T159VfXjlC7gENf+djVCDn1XzK4Xu9fIGwbHJaXBztDcK529HwoGI+JRiXw+GJEiSXr69GuiO/jRX8j25ICH9vSDPA+Hrrjuy9WZiKrxcdc8tef7EJadjzubz6nnyxVMN89xvea3LZdr1DckPGPIal9dVhUYV9LcnhU1+7vk/LyQcktdr/Qqe6Jv9w0N+JBBedeQqetQvr/pOa175db8K2o5N7IZ3/jyCB6qXwQeP1sXLv+zHx4/XR2AZN/y8MxgrD1/Dry+2VMFnyyreqOZli57OHijv5XrL+zd55Qm80K4KKvu4mZxH1qO7swNmbjyrQqr5z7dQlfGy7eW+xSan40DIDdW3+tR1XXAnr8P8Dm2XELJMKSe4ONqp1/P87cHwcnFQ52fD43EkNAZl3B3V31882RAP1y+Po1disPtilJom72dCC+EOZ7+ffbz6JJ5oWlFV33q5Oqj3PGn/IuvmeGgsFu+7jNWvP6B+nJL3NmlfsO5EGD779zSGtQ9S6/PDx+vh+/8uqvV9OTpJhX+yrL+Ht1MDNMrp4OUb6j1S7s+geXvU+6kcZdC9XjlMWX1KHT3QoYavWl9Cnjc/77yEkQ/VUH/LevvzQKh6j4pNSkNwVAL83J1U6CrPKWnRU62MC1ydL6OStyuWHbqKsh5OeLJpAN7sUl2tg6s3k9Chpp96LPJZdOyqru+3vEf+suuS+uzq8812Ne1YaKw6aX7fd1nd9sAf9qh1+OcrbfDknJ1qWdJjXD7yvlh7Go808Men/55GdEIK7O1sMbZHLfU5MfHvEyosr+DlgjLuTipcleBUBp/c+s6D6v4P+2U/HOxs8GjDCuoxbD0bgVcfrKZ//LI+5Ee70q4OmLtVF0D/tOOS7kgQgx8lZGBK2a6vd66OwW2rYPbm8yogXzG8LS5GJKjH+XybQHV/JNBvU013xMb6k+FYdfQaRkbEq9ZAQn5YuBqTjBfaBuL1RQfV9pXXlDw/IuNSceJaDB5p6K/a/OQ27Jd96nMnJLuiV45WWX9S99yR9bDtXCQm9KoNc2JVoS0RERERkaWKjIxERkYGypYtazRd/j516pTJ60gga2p+ma5drk271Ty5B6i1t7dXBRHaPLmlpKSok+GgukLGeNB6DssyHB0dVRgtAwRrZEwJOcnRbwkJCfrryLxyHWnbIONSaKQlmRz1Zni0nFZ8IWFNUpJxxZyuSCMLcXFxyEzTVVYlJTkgLSMDWZkZyMpIg12GjbrMxsYWzvZOiE9KRlJiAjIzshAbF6duS5YvR+rJyXC93Oox5b7vt3pMJ6/FIiw6BpE3YlXoYeoxSdjXb+4u2NhL+JSFrHRdpdLEh+tj4Py96gut9pjEicvJ8PdyRYtAb6w7fg2VvZzg5wL1WANKu6FsKUe13e7mMcn8so5zb4/CbKf/tauICavPqWCripeDGjTup/9Ow8vZAXGZdvjnyBWsPnRF3e/fd57Hgh3n0LCyL15/MEjdT6mM6vrlVrzSsRoaB/mhXjk3rD4Sirlbz6sB0BwdHUw+pjd/P4b1Z6JwYEx7ONrlBH1F9dyT1niybgxbjwz/ZTeOXE9Gi8qecLXL+eFAnvOyHLl/cj9zT7/b517u6XKS15ssU3v9aeH3+fB4vLfiDAa2CUT/JmVVACUB2gPVfU0+JiFHACQkp2Lv+TD9wHYFfUwSMEmFu4uTI85FJmPSiqP45PE6+pB10Pd7cSIsEbP61UUtGQRv+lZ8PaAxOtetgJmbLuDXbeeQlJaufmjxccrCyO514OTogNNXIlXQ7+Zkp0K8dW93gZ+HM0Ys3KP6M9ev4IH956+px3M45AZsM1Jw7EoM9oXcVNWK7/RsgKebV8T+i+Go5++pfhCQ+77udDS++PcUgiNi4OnsgGql7RHk5w5be0esOnwZgd5OWH74Gsq5O8HP0xVfbryIazficeFaFMb11I2Dcz0uTQ3kJ6/hPWdD1Wv/TCjw75ErKlhcdfAS+jergOn/HEVkQire/+uw+rHmetRNJKRmIPhGEvo1DcB7f5/B1880gXd2Hi2PZdq6s0izsVchX0JiAj54pK76gUK2rX8ZL6SlpeP1BXvxz/HreKh2Waw/FYHy3u4Y9fsBDGhaHksPhuKiqlK1hY29I06G3oAtMtCscmlsPRGKvo3KoqxXKcTEJyEpNRWhN5KQkZWFft/tg629PZYObYatx3Wv15d+3AH/0u6YN6gZZm04iVnrjqvw8N1Fe7H9TGXsvnQTp0OND6GX25Sf2VKSk+Hj6ogDF67jSHAYalbwUUGdh30Wqvi6Ydwf+3XPJwdn/L4nGLvPhyE9NRmDmpWDm10mFuy7hn0XIhEeE49h87YjNSNLPYclUC7nbo+zV6NQf9wK9YPexN4NcDw0BqO6BKFSaWe8vOCACvttbO3RZupG+DjbYMqj1VUIvfKAPaRgtmU1X8xcdwKlHTPVEQPy/vzW4gOwsbXTf9a4OdqhRll3fNqniVreC/N2qhY8+84DnWv6oaKvF77ZfBbnrkbi5JUIyMdVx6lr0Kd5ED7tUw+HL4SpZX2/+SQ8nJ3wapcaOHo5GrXLuqqqUFn+o40qqtfTLzsuYM2hS6rfrqeDDfrP+Q9pGbaIiEnAjLXH1LK3nLiCoyFRuJmSBXf7LMQkJWLZ3gtwsLXF/G3n8Xa3Wpi35SwORtxA26plVIubzedvqOrWTtU8sf5oiLrNfw5d0m+nDlV0g1Eu2ndZhbaynaSS2T4jDR2DSmPJ7nOqDQ7goD6ffhvSRB3psvLINXy44rD67DtyORrJyYnoM0MqZzPUZ/Gbnath57kwfPXvMVwOr4DOtf1w8rKumnj6vyfUepGjNeZtOYXUTFtsPBmG+MQkZGVlYtne85i+5gRSMu3U9jgTGo3WAW7YcSEKD9crJ08aLDlwFTvP6I4ekm0yoHkAVhyLRJUyrmrZH684hMy0FDxQxR2Zmal53se09z3ZTzPc/7nT9/Lc76n5YWhbAplRew4iIiIiskBTpkzBxIkT80yXVmLyhURI67EXX3xRtV2QHrka6bnbp08fNWDaoUOH1PwSgMl4EB07dsTo0aON2jK8/fbbqq2D9Ng1/JLz8ccfq2D55ZdfNroPWfVfQmZSLN7932BEXotX0w65uiCq7bdIDb+ImG0LEO9gpw4FtvPwRcCTI7B/2yZcXfqzmnfuFmcsnV8Dnfq/jPLhe/RVywV5TNI/2LCf8K0eU3CYO6JWTccTB2fr2zXkfkyhMSmIjEpCmcfeVY8pZfNclPNwxEdHHBF3LQWevd7VPyb94/crjxqPTkPypcM4tvZfXHVzQGRYAqo0bojIyEaqFdzdPCZp3dGoUSP1mK5du3ZH20mCpo/HfArXzAR888lEhMenITk2BU6+nqj11Fh88du/OL16vvpmvWh5ltpO/3X9H9yu7sNfv/2M8PhUnAlPxOQdNWDXfAAecz6J3/9cipikdPRY5Y7uXR7M85hiktNxwasp3Op0xOtvj8Hho0dVKOdXytFoO8k4KNLWWKrL5DHFlqqEGRNGwtkm/bbPPWlnIoP6vfPuGFyPS0V5T0ecjEyDY7dRmL5gJfYt+wE3kySwtIG3bzmcrP4M/lc5En8v+UVVmklg4h9UC8NHvIXdG1YZbadmrdqiUbd+OLPpjwJtJ4+mvZDoVx8+B39E2HVdUCmhgjxG6ZWtbacjV+NVhWW5h/+HKStj8M2YmTgfmaRaijQNcMdPP3ynHtPYsWNVn0eZv0Z5L/zx63xM+HUDfpnzFYJ8XODv6aTGkpk6dSo2b96sb+kiPZcbNaiHd999Vz33/vrrL2y/GIOy7o4Y/Hg3bHFti4NrFuPh+SdVeCbzH3NrpLbTsJHvoWzKVVwLT8Arax0xdfRr+OeKH86vmo2M2Ai1jI+Wp2LjrmHo2b45Zn0wEteic6r7nrJJRFm/Mvj363FG20leT+v2HMUXS77SHbpvYwN3VxdMyhqFn1dswJ6l3yHQ2wUVvXSPKarx84g/fwDex1fjbEQSWi/OQkC12mj82IvY8M8K2F7Yrqp/hXNgY3g0exSlgzdixl+78NOH9ijt4gDX2u1hU74Vbu78Hf02fKEqArfY2iA1pD/gVANTJozBBzfDVUArh2b/HPU06tWrjx3fT0VWegpmrbLFUg8nxDZ7Hq/9lITEfz5X84XFpeJsRKL+PeKb9ydj0RQHFVyHJwLH1i3GjKVb8cv0L9T9+2054Fq6LKb/NBO9J/2C0fP/VtPlteDoFwSPds8i4fQ24Nw2HC/liODoJKxf1hj/e2koFv36I2LO7VcVp5IpuNRuD/8mnfHMa+8g+MxJtT2kOvOlN19BoFs6QlbOQviJCyjlZIcYBzssjuyPtNJVkLxuBlJTU9RzXqpLV8z7CqsvpmH6+BFw9HRCRlomopLS8MuSnzFycSiurfoGyX6uqJqRhfgMO5R+5B18u2wTYrctUKHqK0e/hbOXL2KDnkZ0yEFUCt2k3iN8nOzgl9kY6998G//8vQxfL1uswuzk9Ey8fqAe3Js9iuNrf8OS/TvhEZeKpLRM3PBvqZ57zSL/xdj/Tdc/Z1594QW0a1MPq76ZhBErruJbP1dcvpkC9zYD8PGgh/D1ByNxIvQGIpPT4V6+FNzbfaqOYLHfMA2l3RzV+go5bI/3534Lx3hHTJk4Qi1XKn6z7BywwnE0EkJOYNm3X6ntKq+18jUC0e+1GSgbeQDfTfsB0Zdi4ejhiLSU5vjfyLdxYfvf2L9pDTxKOaijRSJda+CRpwYiZNtSnN+6Vb0mZT0k1WyPEUOexoV/f8Q//+3DyyvSVXDduld/PFm3BZbO+AXnTl7E9QAP9b73eK8XsPFSNBZNHQmbzFTUrOyBqMR0lOn6Ck7F2qF33ycQEZ+mBvf0dLbH6a4jUc4xBW575uPijiy4xqWisq8HTjd4RX0+fTBc165JVHXxxp92zyHp4gHE7f8bWnzvWLYqkuNao1LkXiz4/U/Is1KeG6jQQL2eFvz4A7KuHMYlLyeERibBrU4H2NTpiErBq3D82DEMW56p9iN69x+Ius3aYMrEcai3QLePIq9j7weewXWnAGDzLMQnJKre7Bt3OyO2/nP4bWcSIpd/ou6Lj5sDhh2arfZP5LPgvffe0993CWCl/eqRI0fw+eef66ebet8T9erVwzvvvJPvZ67Wxup2bLLMrXtxCSXVCXKoWkxMDDw8dKO0FgX5RVUGrpDqCa3q4ct1Z1Qp/c4xnVESmVonxPXC5wpfQ3xf4fstP4cs57O5uPab7jep0JAqjj/++EMFMZpBgwapsROWL1+e5zqVKlVS7RHefPNN/TQZxEy+IMgguhcuXEDVqlXVIGUStGk6dOig/paeuPIl46233sKNG7r+ckLCHfmCsmTJEpPtEUxV2gYEBKgvOdo2KUilbVhYGHx9fYu00rbu5M2qKvXb/vUw7FddL7yA0i54v3djvPTzXlWVGlTGDRciE+Bgb4eq5UqjXnk3/LH3kpr3+daB2HPpBlxdXPDbkGbFVmn77Lx9qupn+f/aoHpZd/1jksOSK7jbqS/z0tNw3o5gfaXtnP71VOWYGPn7Yaw9c1NfaSuVo1JZ1q1ueXwzsCVafbQOw9pVQu9G/vjuv4t4uWNVeHuUuusKTplfnivu7rr7fKfbKb8Kzp0h8Xjxxz2o4G6Ph+qUxfwdwejTpCJWHo/Ce92r48km5THkp33YeSFKVWdJ9dcTjcrij32XVEXfhF518HSrQDg4OCI9PU3/mD74+zi2nLuBmORM+LrY4vKNBHg42+PD3vXw1aZgvPxgdUTejMfZsFhVebhrTCe4ODuj/edbUbGULZa83NroMYmomHh8se4MVh+9htcerIaDVxPVjwERMfHq8OBP+tTHD9uDcS46Dc0qeeDbAQ3Q+MP16rqBZdwREpOGVzsEYv+FCOy7FI2FQ1viyW/3wMfDDTvf7WC0nT7+5wwW7r+Gf15rhQCvnMP+s2zsMG3jBQxqXl4FDlJ9KuFvvcmbVMXZk4381OG+sg0jIiJQsWJF/etPDuHu8Plm9RwZ06sB3lh8GLvOXoOzg/R5zsRbD9XAo00DYYMspKemqOfm/xYeRNc65TB3cGs8MXs79l0IV0HPqtfaoVKZUlh84Drq+7ujehlnfLr2NH7ZeQk+bs6Y2KcRGvi74bddwZi95bw6BHvcI3Ux4o8TaOzvhpCoeIzuXktVJ7677AR+e6kNnv52G/w9nHDlZpKqwv5reHt0nr4dFd3t1OHYvw1tqQavG/XXScSkZCItJQl1ynuoSuE3O1fH6pNRiEpMwwOB7gjwdsXsLRfUIey+Xu6qr6Uj0vUDD/71vzbYeSken605CdusdLg72mPxS61QupQT2n6+HR/0rInHG5ZVbRVCbyZj+oZziEjKQlZGOrIy09GtTjmMebgmnpm3HzX8S+O55v544cfduvcBOxtVwfnrsDYYsXAfrtzIGdDKxs4BXm7OuBmXAL9SDpj4aF2sPHoNuy/FYvUbHdDp07Uo7WyHkJspqOLjhuAYea3boo6fMzrX8sMX68+o2754Iw19m1TArzvOqUPuJVBTj2t4RwyevwcP1fRG1zp+GPrLATzVrBI+7dcUr/66F6sOX8G4nrVRzsMJYbFpSLWxw6erT+DJJuUwtF0VTF51CkF+Hvj94DWkp6UiNS3nPaJng4poXKUMPlpxBJKvrR/RXrVL0N73LkfE4MHPN+Hd7rXwTMtKiE7OxOmwBNQv56JeJ/I6lsrJz/o1w4rD1/Dmwj2Y9Fhd9bikyrhtTX+ExyYjMz1V9czWfLUlBHO3nMPorlXxXCvtEHgbdJ+1G080LocX21S6ZbWjPD8mrz6Dvs0ro12Ql9H73sXoZHi6OaOMi63J9/J1Ry9j6M/79O+3bz5UG292raVeT4cv38DifVfw4WP14Oqqe38LCQnRf8Zp73up6RmoOVYXlm9750F1/sT3BxAWk6jey2W97w6Oxg+DmqvnqlbBKb18q/qWgncpZ5MVnDHJGfAs5YJr0fHoOWMLvnm6CTadicCvu0Px3+jO6jElpqSpQSslMH+2TRDKeLiq9+CUtHT1maO9l684cl1VqLerWgZzBzbVv+89/f0e9R7h7+mCJS+3UpXn3+0MRfe6ZVHZK2cbidC4DKSlZyCwdE7bHFkP4/4+gz/3h6BLDW8cuHQDdnY2aBRQWr2nyFEv3246i+plS+H1RYfUe1j9AB8cvRyFNx4MQtc6ZdFj5jY81jgAmTZ2eKdLED5Zc1JV8b7WsSre7FZHbSepDJae79LyYfnhq/B2d8XCYW1QycNOHVkg73Gero544IttkNbytco44uT1OMwf1AzNA0urI4DKlClTrJW2cnSVHPV0u31ZVtqWQEzpiYiIiMyP7MQ3bdoUGzZs0Ie28qVR/n7ttddMXkcGypXLDUNbGWdBposqVaqogXZlHi20lYBVetW+8sor+mVIKCz9dOX2xcaNG9VtS+9bU+RLnZxykwF65WRIC7hyky8/bm5uan7DsF6mm5J7uflN1/W3tIGji6s6jFZanmbaOalAT74ASrDo5CyXZcDJ0U4FXHGpukNuRZa9E8ITs+CSlqL78no0HB1r+hn1x7zVYyro9Ouxyeo20+2c9I9BRtCesOI4Jj9WF8+1DkRsup3+fsljKlPaUz9vo6CyKrSVxySnyX3qo30NX9VTUb58bxzVWVXbSQ/Dcb0b33bbFfQxyfNC1rFMN/UjS0G3U37TO9dyU6Fr70YVVPXiT3uv47l2NRCWcBoTV5/B4avx2HslAV3qV1IDBIm/joTDwclF9Q/dcyUBG349rELdNzpXV+Hc0y0qY9O5WPRtWhlbz0So8LFrg0rYcCocb/55SoW37/6ZM0CPrPPTUWk4cTVK3YeTycDcnVfRr3kAklLT8cd/5yD5hvTMlNCvso8Hpm8JUUGnHIZ/ITpNLWNbcDxC4zJVb0wZXGnmf1fUdPnRQEI1D+cszNoSrJ6jZUt7Ysivx1QIHZ2YBnsHRyw+cA2davmpQ4tXndDVpP1xKAzv99Idci82ngpTvTGlV2kFL2dM+ecUfh3SUj0nutT2wx+Hw/Fcu+qo5++B4PCbKjCQ7SbrffXJG7BzdMaEx5vAp5QTFgxthbXHw1Sf0xd+3IsvN4fgu51XVWAm/Sz9vVyyH1csrsem4HBoHMb3bow5Wy7gm+2hKnD8cPUpFaxIaZi0A3i7RwPdYeRLDqtA9fCVGLUMVzcXLD0cjiaVvPDFU43w5uJDGLX8NHzcHNGwsg/aVPNF57oV1Tby9/FSr5dXfjusAuIVb3ZSh19LJV7nBqWwv34lnLwWhw9XncCnTzRQvSnlOfpUm+pGz63qFcrgiTk7MapbLdW78uUOVdXtSnjduEo51K+chcj4VHSpXRZj/zqKfvMOqvYGEiR3rF0epUq5omM93fO1W6PKWLz3sjpJf8yWNcojyL8M/hn5oKris7e1xePNgzCwdaDqMZ2SlglPVwd0rFsBC3eHqND5RqIuyJH+ptJf9KXOtdGjSRW0q1NRtQCR3suLX+kA29Q4PP/baVyKTcEL7YLQs355PPXtThy+HoIhHWrjvZ611XNIHrP8+DDy90NYeiBULXvkkiNIzQTefaQhvF0d0bvZTQzuEKSeA2N71UezID8MaVdFv46k8njx3it4qEFl1Azww68v61rnSBiWkJKOZ77frXpqy7aUvqESIkqI3DLIB4HljIOnymVLY+2orgj0cVXvQ/JSr1QmZ57fXukAZ0c79ZxsVKk0HJ1c0LpGBQT4uSPAz1vNU7609Oc17tHbrW451Qv72XY1UMo5Jyjc9HZHVelrqjez4fue3I/Zg0x/ttXP531K80DtCnB2PoH0zEzVj1VeV9rrqW1tOQUYvVea+oxzsbPDD0PaITgyAZXK6h6nFNTJ4F1/H76m+vnKc8hw30BOHeoa37fc7+XaXa/u743Dkx5VbXcaB5VDs6rlUMlHd6G8nb/W1dNoOfJenvsTqkd9f0wp7YEuDSoZvUdLS5pyni4Y26M2ynnqPjPe6lbL5Lqqmc+qlD7U8pyV54T0WZbXq1QXSz9hDzdXjOrVUM33zrIzqu+x9HeW17qcJAh/6+EGeLxxBVTy0d1ref96tOkN9bzQtn3PJrrntCw/qLwPnm5ZSd/LvKHB41n1Rgf1epTXgHxmdKpfUd/+RwtXc5NtKT985aZtp9wK+5mbG0PbEso8WswTERERkSGpmpXKWhkUrEWLFpg+fbrqQymHpIuBAweiQoUKqj2BeOONN1TV7BdffIGePXti0aJF2LdvnzqET8gXGAl0P/zwQ1SvXl2FuO+//746nE8LhmvXro3u3btj6NCh6vBuqQiRkFgGKZP5LJFUdWmDCtX191T99rTKMyd7O/3gVfIFX/6WEaU1N5PS1CBGEg5JWDPqjyNoFeSNRcNyKi3vhgyyIgGHVAEJw9uWnoXiyg1dVaoMmlXdr5Qa1Efo+gTqSJgnI5rXKqcbNEjCWvnyq5GAyBLJF/cpfRqof8v6/21oKzWYmlQKy2BRMpiPbD6p3pMR3qXiSwZ+6l6/PCqUdsHcrRfUepKK5JkbdaPCHwy5qQafkYGhpLJLSBhXydtNbWcJYx+btR2DWgeqga5kBHHp6ZiYmoH+zQNUZdqMDWdVn9QLEfH66kwZBEiquId3ro4+3+yAu7M9lr3aRoVYMtCT9FcVL7arom5HBtmR+77hrQ7qtfnDtotq8KhBbQLxbKvK+HDlCVyKTsSFiAR8/98FFcB+8s8pdci86FG/nKpc7VjTVw0W5epkjzXHdH2nlx0MVeHqzcQ0dV/lOS5h6IC5u1RVdr9mFfHR6lOoV+ESKnu7YcKjdbDm+HU0qVRaBbZCwn4ZwEhImKqN7i7rV15D8gNHnyYVVFWbjOIuwaQMLlXa1VGFsuFxupHoZbkS2s5+pom6XEayl3UngW33uuVQ1c8NszadVwMISchapYwblr/aFl+tP4vt5yLxyRO67d+rYXkV2sp9kr6aMzaew6d9G+QZ8E7WZR1/Dywc2uqWz61mgd7Y+14X9QNM/xa6akwJa8JjU9TzztHWRg0MJv54uTVaTdmAj/85qUJ2qdQ1JBWlMiCTDMYloa0MUCa0AdPEV/1zfixRh3oDGN+rDhoHeKlBx2TQKCHBrrxfyQBYwsPZQZ2EPK7w8GS17X/ccQm1y3moxzGiSw3svXQDY3rUyjMY3+udqqtB+mQ7yICFMsCT9n44Y0DOfZLHZBjYCgnSZBCq3GSdy2nBiy1VGCiPX/N8W+NlGJLXSH6k37AmyLcUDox/SP+4b0Ue/5o32+eZrlWKFidXR3u0reajXnuN8hmgrSDkKAJDsg3lhxcJF4uC1iddXtuPN654R9eXEFwer6EHa/mp092Q16v2nmNYQZ3bytfbqfcaw9eUXPeNLsY/xkgYa2qwSiHXHZE9cJwp0n9Ye81rr3Fza0bA0JaIiIiIyEz069dPHcI8fvx4NQiYVMeuWbNGP5CYHGppWLHTpk0bLFy4EOPGjVM9JyWYldYI0ktNIz3VJPiVHpZSUduuXTu1TMMqjwULFqigtnPnzmr5ffv2xYwZM2CJgqf21P9766gH8c+xa/h6k4R3uqDNycFWfUHu1ywAjzXyV4dqh8XqAlQJ26T6SUhvTW26Npr93bpyIxFPf78bX/VvpA5PFTFJutBWeohKWKzmu5kd2salqMNEc0LbnK9vtcp54OxHD2PaujMqtM0dZFkD2U6tq+oGuZJR3CU8b//pJhXy1Sznjj9ebqMGtZKR3yWobxDghZZVvFUAJD0hO3+xRV33+NVYFWg3rOipQkIJcSU0G/9ITsXq/nEP6avbDoTcVIHloNaV1Rd6uQ+yjmXEcwlqJOiScPinF1qo9S5f8qWaUMIk+RFAyGjrWmhb2ccNMwc0UQFq17pl9dVgfRpXUNtYKoIlJJk/uIV6PPUm/KsCWwnkJWCU0d+r+pVSweCLP+/DiMWHVaWvjNoulcMy8Nye4Gj9Y5EKV5kmgciMAY3w2NfbVWDboaqXqvjaGxytAkP5cUALLHJ7s0sNVUkpIbCMsC7hpUQZUmH3v47VsOVMBNpU9VHrtW/TitgfckNVrAnJPGRdS2ArpCJO+/FB1rn8YCGhrdCCSiFhjGEg81CdcvB2O6m2qYRcz7aurA8f75RhxbwYkB3emgoU21Yroyo6pdVCfpoHeuOvg6Gomx3a3o6Et08201VjvtejNtpU81HPcy0sz8//OlZV20sGZxLyQ0F+5Lk9uXc91RLxVo/xTuQOr4tSQQJbczDnuaawKQFlcBIi308SqI58yLgNT0nE0LYkMrNfDoiIiIgoh4Sn+bVDkIEucnvyySfVKT8SEE2aNEmd8iODKkn4a20kLJIgTgJROcRcyKBfEpJo1XzSM1U7TFmqU6WXokaq6IQc9l4UbiTobufQ5Zv6aTLCu9ACWzk8XEZnFxLoda0roZaumlKqDXNXlsn8wrDyzVpJIPrzC3KorC5clQpcCUxXDm+HetmhWefaORVsYx6upULxbzafVyOIy2tBAl055WZ4OPILbasgPjkd7z5cS13nsUYV8GhWluop2rGWtKBwVoGmRub5/eXWRqG6PPckuJTqUmktIKHsvyPaG1VxyQBFox82PrS4lJM9ejUor56H0m+3caXSRpdLv8xOX2xWlePLD+kGt/vw8XqqmlUO7z1xNVadj+6hW241P3dVOSk/GPjaJ6Nc2bK4fCMJj8zcpl4HjzYwXU0vI9I3qKirJJS2G+fC41VQLs8zOeWuoJT7VbG0i6oAlorYVztWNbpcgt0d56NUiwVZdkGCOlkXUhmrVZLebWBbWBJ2Sg9cLWQ1RQ7TllBf7mthDW0fVOB5ZZ1/P6h5oZY/7alGKtSX7UZFR/thhuheYGhbQpnq80JEREREZG0k2JSqWTlsWwvnDA8nlso3rUWBVCYaVtVKuCVkcKeiEJcd0MogVbr7ZqOvtNVut2GAl+oBKkGzHNIvfUolrJVD5OWQ3NwkKJPHVBJCW5E7gJLvNVpgm9tLHaqqdb4v+IZqgVBQUvWYu/JR9Ui9xTJMBYrSI/bIlZv6Q5W15dzO1083yfcyCYMl6JXWGd9uuaCqUKUiTU5d6pRV4awEt9L2QCOHIksP1fDwFH3l748vtFCVmwVto6H9yJEfaS8gFbi5g3ON9I+Vk/Y6k76dfZvc/rDt3If+30vSTkNOt3vcEkSbI1PPYyKyLAxtSyDW2RIRERFRSSEtDySwlQFNpIetg61xaCuVt3KZ8MruryeHvMsAJtKrUsigQHej0+eb8Wgjf3W4u3a4vgS2UoGphbYyYJZoWNFLDbAlI8BrYaD05UtI1fUUzU0OId8wsoNRMEjGh/hKFez9INWXbaqWKfLlvvhAkP65LW0jDMlgbHK6HQl1DYPde+3zJ3WDDRERUf6Kv1MzERERERHRfaId9i6DSklYKycJbzXaofbCK7vqUEZHl8rVK1poexeVtslpGbgQmYDp688iNjldf19k8BQZwElCW3VI+/kodVnDAE+jFgrSg1PulwS2pqoOZVpx9pkk8/VW15qqjy4REVknhrZERERERGS17O1s9OGphLVacKtxNuhPqA3m1a5aGRWWhmZXu+YmfUm1dgti/6VoNP9oPQ5nB617Lkbj3T+OqH8fv6prheDn7oS47NBWlPd0VoeJxyalYfzyY/h26wW4O9mjana/VRn0Su6mzCehrZsTK2mJiIhKEoa2JRDHISMiIiKiktTTVhtMTFXZ2uUKbbNbDkgweup6nPq3jFQvla2GIauhGRvOoerY1WoQsczMLAz7eb/qSfvf2Qh1ubQ3+H3/ZdWX9tBlXWgrlbsS0GrKe7qo0FYGQTtxLVZ3H9wcVNXsqw9WxYWIBEzt20D1I5X2CIaDXBEREZH1Y2hbQnEcMiIiIiIqCaR3rL7S1k762drCzsa4p63wcXPU9/is5+8JJwdbxKeYDm23n49U51NWn8LVmCQ1YJg4Fx6vzmUwKCmUkCBXq76VNgi5K209XBzU5dIuQdxI0IW6o7rVwvFJ3fBU9qj1UqUrA0kRERFRycGfa0ugLA5FRkREREQlhL2tVmmr62mrtUjIXWkrlbDv96qDd7rXVCPCO9nbGYW2HT7bhD9ebqPaJviWclLT9gVH42x4WX1LhTNhWmira6twPTZZP5hZdEIq4pINK22dkZ6ZpU4aw9vTKoTF652q5xsgExERkXVipW0JxUpbIiIiIipZ7RFyetpqfW4NByKT0FYu09oQSAWuYch6KSoR+y/dUP9OSE3XTztzPU4to2NNX5yPiFe9brXQNjw2GTcTU1HWw0kNZhYWl6JfXjlPF/RvUcnovj5Y09fkYyjt5sjBxoiIiEoYVtoSEREREZHVt0eQ0NTWxka1GfB00Q04JpyyK209c7UfkNA2LSOnClY42uuWlZiSoULeyPgUbDkToQYPq1HWHSnpmTgbHqemi+sxyarCtkFFL4TFpuBSVIJqdRAel4IKXi4o5WSPX4e0RFRCCrrWKWcUJhMREVHJxtC2BOJAZERERERUEgcik1D0sycbqvA2d09bd2fjr0bSHiE3rSdtYlo66lXwwObTEdhxPgqPNfJHoI+bumz3hWj9/FdjkhGbnI5qfqWw7Vykqszt1ywArap6q+uLdtXLFMvjJiIiIsvG9ggl1P/Zuw/wKKqugeMnyaZBEiCQUEPvvYqINEFAscL72hUVGx9WFBXFAhYEUVDBrlgQO+orItIEVHrvSBUQCJ0EQvp+z7mb2eymQICULf+fz5owO9mdvTs7e+fMuecGCFfxAQAA4PtsLpm2Wv4gKizYZLjmCtq6LDPLs8omuDqZkuHMtK0bE+Fc3rZGOSkf4cjeXb3HMfFYlTJhsml/ovm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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_res, axes_res = plt.subplots(nrows, ncols, figsize=(14, 4 * nrows), squeeze=False)\n", + "axes_res = axes_res.ravel()\n", + "\n", + "for ax, csv_path in zip(axes_res, csv_files):\n", + " tmp_df = pd.read_csv(csv_path)\n", + " num_tmp = tmp_df.select_dtypes(include=[np.number])\n", + "\n", + " if not {\"q\", \"i_exp\", \"i_fit\"}.issubset(num_tmp.columns):\n", + " ax.set_title(csv_path.parent.name)\n", + " ax.text(0.5, 0.5, \"Missing q/i_exp/i_fit columns\", ha=\"center\", va=\"center\")\n", + " ax.axis(\"off\")\n", + " continue\n", + "\n", + " residual = num_tmp[\"i_exp\"] - num_tmp[\"i_fit\"]\n", + "\n", + " ax.plot(num_tmp[\"q\"], residual, lw=1)\n", + " ax.axhline(0, color=\"black\", ls=\"--\", lw=0.8, alpha=0.7)\n", + " ax.set_title(csv_path.parent.name)\n", + " ax.set_xlabel(\"q\")\n", + " ax.set_ylabel(\"I_exp - I_fit\")\n", + " ax.grid(True, alpha=0.3)\n", + " #ax.set_yscale(\"log\")\n", + " #ax.set_xscale(\"log\")\n", + "\n", + "for ax in axes_res[len(csv_files):]:\n", + " ax.axis(\"off\")\n", + "\n", + "plt.tight_layout()\n", + "plt.savefig(base_dir / \"sba_residuals_grid.pdf\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 134, + "id": "75974a2e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "7.977486467715632\n" + ] + } + ], + "source": [ + "summary_path = base_dir / \"sba_summary_martini.csv\"\n", + "\n", + "if not summary_path.exists():\n", + " raise FileNotFoundError(f\"File not found: {summary_path.resolve()}\")\n", + "\n", + "summary_df = pd.read_csv(summary_path, usecols=range(4))\n", + "#summary_df = pd.read_csv(summary_path)\n", + "\n", + "\n", + "print(np.mean(summary_df['chi2_per_point']))" + ] + }, + { + "cell_type": "code", + "execution_count": 135, + "id": "50552e70", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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sidc1c2chi2_per_point
0SASDA920.5967780.03206511.965604
1SASDAW31.125131-0.0021867.996393
2SASDEM61.0953650.0519175.844511
3SASDF861.0701530.0324065.537906
4SASDJF50.9467320.0351955.696015
5SASDJG50.9994080.0326433.203928
6SASDJQ40.5902010.01845410.100352
7SASDJU51.2288980.0207554.149262
8SASDKG40.9186680.5435835.618287
9SASDL821.1477410.0155492.520915
10SASDMB51.0925670.0030995.888946
11SASDME41.1608340.45144525.446004
12SASDMZ90.752742-0.00707914.624083
13SASDP391.1823840.0505798.894835
14SASDT750.674365-0.0010201.647053
15SASDT851.068967-0.01323114.523205
16SASDT951.0253820.0015941.959971
\n", + "
" + ], + "text/plain": [ + " sid c1 c2 chi2_per_point\n", + "0 SASDA92 0.596778 0.032065 11.965604\n", + "1 SASDAW3 1.125131 -0.002186 7.996393\n", + "2 SASDEM6 1.095365 0.051917 5.844511\n", + "3 SASDF86 1.070153 0.032406 5.537906\n", + "4 SASDJF5 0.946732 0.035195 5.696015\n", + "5 SASDJG5 0.999408 0.032643 3.203928\n", + "6 SASDJQ4 0.590201 0.018454 10.100352\n", + "7 SASDJU5 1.228898 0.020755 4.149262\n", + "8 SASDKG4 0.918668 0.543583 5.618287\n", + "9 SASDL82 1.147741 0.015549 2.520915\n", + "10 SASDMB5 1.092567 0.003099 5.888946\n", + "11 SASDME4 1.160834 0.451445 25.446004\n", + "12 SASDMZ9 0.752742 -0.007079 14.624083\n", + "13 SASDP39 1.182384 0.050579 8.894835\n", + "14 SASDT75 0.674365 -0.001020 1.647053\n", + "15 SASDT85 1.068967 -0.013231 14.523205\n", + "16 SASDT95 1.025382 0.001594 1.959971" + ] + }, + "execution_count": 135, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "summary_df" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "id": "d44a82a9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "4.302908469963444" + ] + }, + "execution_count": 112, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "4/3 *np.pi *1.009**3" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c20f2612", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "pripps-py", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/pripps-py/examples/testing_sba.ipynb b/pripps-py/examples/testing_sba.ipynb new file mode 100644 index 0000000..769aaff --- /dev/null +++ b/pripps-py/examples/testing_sba.ipynb @@ -0,0 +1,278 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "44b5339f", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pripps\n", + "from scipy.optimize import minimize\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "markdown", + "id": "5d472b16", + "metadata": {}, + "source": [ + "## Rebuild the Python extension\n", + "\n", + "If `Pripps.multipole_model()` raises an unexpected keyword error, rebuild the local extension in the same virtual environment that the notebook kernel uses:\n", + "\n", + "```bash\n", + "cd /Users/isabelvinterbladh/Documents/HALRIC/pripps/pripps-py\n", + "source .venv/bin/activate\n", + "maturin develop\n", + "```\n", + "\n", + "If you prefer pip, this also works:\n", + "\n", + "```bash\n", + "cd /Users/isabelvinterbladh/Documents/HALRIC/pripps/pripps-py\n", + "source .venv/bin/activate\n", + "pip install -e .\n", + "```\n", + "\n", + "Then restart the notebook kernel before rerunning the fit cells.\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "82ef40af", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0. 0.0025641 0.00512821] [3954401.95133619 3952580.44343685 3947144.07582101]\n" + ] + } + ], + "source": [ + "pr = pripps.Pripps(atomfile=\"/Users/isabelvinterbladh/Documents/HALRIC/pripps/assets/poly_atomic.yaml\")\n", + "model = pr.multipole_model(\n", + " structure_file=\"/Users/isabelvinterbladh/Documents/HALRIC/pripps/tests/lysozyme/6lyz.xyz\",\n", + " qmin=0.0,\n", + " qmax=0.5,\n", + " nq=196,\n", + " excluded=\"polynomial\",\n", + " excluded_atomfile = \"/Users/isabelvinterbladh/Documents/HALRIC/pripps/assets/poly_excl.yaml\", # FoXS-style excluded volume (16π Fraser)\n", + " volume_scale=1.0, # fit knob c₁ (scales excluded volume)\n", + " hydration=\"sasa\", # FoXS-style SASA-weighted hydration shell\n", + " probe=1.8, # SASA probe radius (Å)\n", + " contrast_density=0.03, # fit knob c₂ (scales hydration)\n", + " bulk_electron_density=0.334, # e/ų, pure water\n", + ")\n", + "\n", + "# Returns a dict of numpy arrays\n", + "out = model.intensity(volume_scale=1.0, contrast_density=0.03)\n", + "print(out[\"q\"][:3], out[\"total\"][:3])" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "2d2f1bec", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "c1=1.0304, c2=0.0734, χ²/N=0.2205\n" + ] + } + ], + "source": [ + "# experimental data: q (Å⁻¹), I(q), σ(q)\n", + "data = np.loadtxt(\"/Users/isabelvinterbladh/Documents/HALRIC/pripps/tests/lysozyme/lyzexp.dat\", comments=\"#\")\n", + "q_exp, i_exp, sigma = data[:, 0], data[:, 1], data[:, 2]\n", + "\n", + "def chi2(params):\n", + " c1, c2 = params\n", + " out = model.intensity(volume_scale=c1, contrast_density=c2)\n", + " theory = np.interp(q_exp, out[\"q\"], out[\"total\"])\n", + " scale = np.sum(theory * i_exp / sigma**2) / np.sum((theory / sigma) ** 2)\n", + " return np.sum(((scale * theory - i_exp) / sigma) ** 2) / len(q_exp)\n", + "\n", + "result = minimize(\n", + " chi2,\n", + " x0=[1.0, 0.2],\n", + " bounds=[(0.95, 1.12), (-2.0, 4.0)],\n", + " method=\"L-BFGS-B\",\n", + ")\n", + "print(f\"c1={result.x[0]:.4f}, c2={result.x[1]:.4f}, χ²/N={result.fun:.4f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "d65ba913", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "out2 = model.intensity(volume_scale=result.x[0], contrast_density=result.x[1])\n", + "theory = np.interp(q_exp, out2[\"q\"], out2[\"total\"])\n", + "scale = np.sum(theory * i_exp / sigma**2) / np.sum((theory / sigma) ** 2)\n", + "plt.plot(q_exp, i_exp, \"o\", label=\"Experiment\")\n", + "plt.plot(out2[\"q\"], scale*out2[\"total\"], label=\"Polynomial model\")\n", + "plt.legend()\n", + "plt.xlabel(\"q (Å⁻¹)\")\n", + "plt.ylabel(\"I(q)\")\n", + "plt.yscale(\"log\")\n", + "#plt.xscale(\"log\")\n", + "plt.title(\"SBA fit to lysozyme data\")\n", + "plt.savefig(\"/Users/isabelvinterbladh/Documents/HALRIC/pripps/tests/lysozyme/sba_fit_excl+hydration.pdf\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "5e0c824b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0. 0.0025641 0.00512821] [260710.30492072 260534.6764846 260001.94048118]\n" + ] + } + ], + "source": [ + "pr = pripps.Pripps(atomfile=\"/Users/isabelvinterbladh/Documents/HALRIC/pripps/assets/poly_atomic.yaml\")\n", + "model = pr.multipole_model(\n", + " structure_file=\"/Users/isabelvinterbladh/Documents/HALRIC/pripps/tests/lysozyme/6lyz.xyz\",\n", + " qmin=0.0,\n", + " qmax=0.5,\n", + " nq=196,\n", + " excluded=\"fraser\", # FoXS-style excluded volume (16π Fraser)\n", + " volume_scale=1.0, # fit knob c₁ (scales excluded volume)\n", + " hydration=\"sasa\", # FoXS-style SASA-weighted hydration shell\n", + " probe=1.8, # SASA probe radius (Å)\n", + " contrast_density=0.03, # fit knob c₂ (scales hydration)\n", + " bulk_electron_density=0.334, # e/ų, pure water\n", + ")\n", + "\n", + "# Returns a dict of numpy arrays\n", + "out = model.intensity(volume_scale=1.0, contrast_density=0.03)\n", + "print(out[\"q\"][:3], out[\"total\"][:3])" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "489d560c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "c1=0.9500, c2=4.0000, χ²/N=10.6151\n" + ] + } + ], + "source": [ + "# experimental data: q (Å⁻¹), I(q), σ(q)\n", + "data = np.loadtxt(\"/Users/isabelvinterbladh/Documents/HALRIC/pripps/tests/lysozyme/lyzexp.dat\", comments=\"#\")\n", + "q_exp, i_exp, sigma = data[:, 0], data[:, 1], data[:, 2]\n", + "\n", + "def chi2(params):\n", + " c1, c2 = params\n", + " out = model.intensity(volume_scale=c1, contrast_density=c2)\n", + " theory = np.interp(q_exp, out[\"q\"], out[\"total\"])\n", + " scale = np.sum(theory * i_exp / sigma**2) / np.sum((theory / sigma) ** 2)\n", + " return np.sum(((scale * theory - i_exp) / sigma) ** 2) / len(q_exp)\n", + "\n", + "result = minimize(\n", + " chi2,\n", + " x0=[1.0, 0.2],\n", + " bounds=[(0.95, 1.12), (-2.0, 4.0)],\n", + " method=\"L-BFGS-B\",\n", + ")\n", + "print(f\"c1={result.x[0]:.4f}, c2={result.x[1]:.4f}, χ²/N={result.fun:.4f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "3da694dd", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "out2 = model.intensity(volume_scale=result.x[0], contrast_density=result.x[1])\n", + "theory = np.interp(q_exp, out2[\"q\"], out2[\"total\"])\n", + "scale = np.sum(theory * i_exp / sigma**2) / np.sum((theory / sigma) ** 2)\n", + "plt.plot(q_exp, i_exp, \"o\", label=\"Experiment\")\n", + "plt.plot(out2[\"q\"], scale*out2[\"total\"], label=\"Polynomial model\")\n", + "plt.legend()\n", + "plt.xlabel(\"q (Å⁻¹)\")\n", + "plt.ylabel(\"I(q)\")\n", + "plt.yscale(\"log\")\n", + "#plt.xscale(\"log\")\n", + "plt.title(\"SBA fit to lysozyme data\")\n", + "#plt.savefig(\"/Users/isabelvinterbladh/Documents/HALRIC/pripps/tests/lysozyme/sba_fit_no_hydration.pdf\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ead57af1", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "pripps-py", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/pripps-py/src/lib.rs b/pripps-py/src/lib.rs index c7db9fb..115930d 100644 --- a/pripps-py/src/lib.rs +++ b/pripps-py/src/lib.rs @@ -3,7 +3,11 @@ use pyo3::exceptions::{PyIOError, PyRuntimeError, PyValueError}; use pyo3::prelude::*; use pyo3::types::PyDict; -use ::pripps::{ExcludedVolume, Hydration, Intensity, MultipoleModel, Pripps, SolventConfig}; +use ::pripps::{ + ExcludedVolume, Hydration, Intensity, MultipoleModel, Pripps, SolventConfig, read_formfactors, +}; + +const DEFAULT_POLY_EXCLUDED_ATOMFILE: &str = "assets/poly_atev.yaml"; #[pyclass(name = "Pripps", module = "pripps")] struct PyPripps(Pripps); @@ -30,6 +34,7 @@ impl PyPripps { nq = 100, l_max = None, excluded = "none", + excluded_atomfile = None, volume_scale = 1.0, excluded_spacing = 1.0, hydration = "none", @@ -47,6 +52,7 @@ impl PyPripps { nq: usize, l_max: Option, excluded: &str, + excluded_atomfile: Option<&str>, volume_scale: f64, excluded_spacing: f64, hydration: &str, @@ -58,6 +64,7 @@ impl PyPripps { ) -> PyResult { let cfg = solvent_from_kwargs( excluded, + excluded_atomfile, volume_scale, excluded_spacing, hydration, @@ -101,6 +108,7 @@ impl PyMultipoleModel { #[allow(clippy::too_many_arguments)] fn solvent_from_kwargs( excluded: &str, + excluded_atomfile: Option<&str>, volume_scale: f64, excluded_spacing: f64, hydration: &str, @@ -119,9 +127,16 @@ fn solvent_from_kwargs( volume_scale, }, "voronoi" => ExcludedVolume::Voronoi { volume_scale }, + "polynomial" => { + let path = excluded_atomfile.unwrap_or(DEFAULT_POLY_EXCLUDED_ATOMFILE); + ExcludedVolume::Polynomial { + volume_scale, + formfactors: read_formfactors(path.as_ref()).map_err(into_py_err)?, + } + } other => { return Err(PyValueError::new_err(format!( - "unknown excluded-volume model: {other} (expected `none`, `fraser`, `foxs`, `grid`, or `voronoi`)" + "unknown excluded-volume model: {other} (expected `none`, `fraser`, `foxs`, `grid`, `voronoi`, or `polynomial`)" ))); } }; diff --git a/src/cli.rs b/src/cli.rs index e577088..b955d71 100644 --- a/src/cli.rs +++ b/src/cli.rs @@ -17,6 +17,7 @@ use crate::error::IoResultExt; use crate::{ ExcludedVolume, Hydration, Intensity, IntensityScheme, Pripps, Result, SolventConfig, cli, + read_formfactors, }; use clap::{Parser, Subcommand, ValueEnum, builder::styling::AnsiColor}; @@ -25,6 +26,8 @@ use std::env::set_var; use std::io::{BufWriter, Write}; use std::path::{Path, PathBuf}; +const DEFAULT_POLY_EXCLUDED_ATOMFILE: &str = "assets/poly_atev.yaml"; + /// Commands #[derive(Debug, Subcommand)] pub enum Commands { @@ -87,6 +90,9 @@ pub struct SolventArgs { /// Grid spacing (Å) for `--excluded grid` #[clap(long, default_value = "1.0")] excluded_spacing: f64, + /// Form-factor YAML for `--excluded polynomial` + #[clap(long)] + excluded_atomfile: Option, /// Bulk solvent electron density (e/ų) #[clap(long, default_value = "0.334")] bulk_electron_density: f64, @@ -113,7 +119,7 @@ pub struct SolventArgs { impl SolventArgs { /// Build a [`SolventConfig`], returning `None` when neither /// excluded volume nor hydration is active. - fn to_config(&self) -> Option { + fn to_config(&self) -> Result> { let excluded = match self.excluded { ExcludedKind::Disabled => ExcludedVolume::Disabled, ExcludedKind::Fraser => ExcludedVolume::Fraser { @@ -129,6 +135,16 @@ impl SolventArgs { ExcludedKind::Voronoi => ExcludedVolume::Voronoi { volume_scale: self.volume_scale, }, + ExcludedKind::Polynomial => { + let path = self + .excluded_atomfile + .as_deref() + .unwrap_or_else(|| Path::new(DEFAULT_POLY_EXCLUDED_ATOMFILE)); + ExcludedVolume::Polynomial { + volume_scale: self.volume_scale, + formfactors: read_formfactors(path)?, + } + } }; let hydration = match self.hydration { HydrationKind::Disabled => Hydration::Disabled, @@ -152,7 +168,7 @@ impl SolventArgs { hydration, bulk_electron_density: self.bulk_electron_density, }; - cfg.is_active().then_some(cfg) + Ok(cfg.is_active().then_some(cfg)) } } @@ -165,6 +181,7 @@ pub enum ExcludedKind { Foxs, Grid, Voronoi, + Polynomial, } /// Which hydration-shell generator to use. @@ -232,7 +249,7 @@ pub fn do_main() -> Result<()> { pretty_env_logger::init(); let pripps = Pripps::from_yaml(&args.atomfile)?; - let (scheme, box_override, solvent) = command_to_scheme(args.command); + let (scheme, box_override, solvent) = command_to_scheme(args.command)?; if let Some(fit_path) = &args.fit { // Fit mode: optimise (c1, c2) against experimental data @@ -280,27 +297,27 @@ pub fn do_main() -> Result<()> { /// hydration model is selected). fn command_to_scheme( command: Commands, -) -> (IntensityScheme, Option<[f64; 3]>, Option) { +) -> Result<(IntensityScheme, Option<[f64; 3]>, Option)> { match command { Commands::Debye { qmin, qmax, nq } => { - (IntensityScheme::Debye { qmin, qmax, nq }, None, None) + Ok((IntensityScheme::Debye { qmin, qmax, nq }, None, None)) } Commands::Direct { pmax, side_length, solvent, - } => ( + } => Ok(( IntensityScheme::Direct { pmax }, Some([side_length; 3]), - solvent.to_config(), - ), + solvent.to_config()?, + )), Commands::Multipole { qmin, qmax, nq, lmax, solvent, - } => ( + } => Ok(( IntensityScheme::Multipole { qmin, qmax, @@ -308,8 +325,8 @@ fn command_to_scheme( l_max: lmax, }, None, - solvent.to_config(), - ), + solvent.to_config()?, + )), } } diff --git a/src/solvent/mod.rs b/src/solvent/mod.rs index 2704e8b..6d1094c 100644 --- a/src/solvent/mod.rs +++ b/src/solvent/mod.rs @@ -32,6 +32,7 @@ mod fraser; mod grid; mod grid_excluded; +mod polynomial_excluded; mod sasa; mod voronoi_excluded; mod voronoi_hydration; @@ -131,7 +132,8 @@ impl ExcludedVolume { Self::Fraser { volume_scale } | Self::FraserFoxs { volume_scale } | Self::Grid { volume_scale, .. } - | Self::Voronoi { volume_scale } => *volume_scale, + | Self::Voronoi { volume_scale } + | Self::Polynomial { volume_scale, .. } => *volume_scale, } } } @@ -202,6 +204,14 @@ pub enum ExcludedVolume { Voronoi { volume_scale: f64, }, + /// Per-kind excluded-volume form factors from a dedicated YAML + /// table, evaluated directly (typically polynomial fits from + /// `poly_atev.yaml`). The table is matched by kind name against + /// the structure's atom/residue kinds. + Polynomial { + volume_scale: f64, + formfactors: FormFactorMap, + }, } /// How the hydration shell is represented. @@ -378,6 +388,10 @@ impl ExcludedVolume { Self::Voronoi { .. } => { voronoi_excluded::dummies(structure, formfactors, bulk_electron_density) } + Self::Polynomial { + formfactors: excluded_formfactors, + .. + } => polynomial_excluded::dummies(structure, formfactors, excluded_formfactors), } } } diff --git a/src/solvent/polynomial_excluded.rs b/src/solvent/polynomial_excluded.rs new file mode 100644 index 0000000..1969b82 --- /dev/null +++ b/src/solvent/polynomial_excluded.rs @@ -0,0 +1,89 @@ +// Copyright 2026 Mikael Lund +// +// Licensed under the Apache license, version 2.0 (the "license"); +// you may not use this file except in compliance with the license. + +//! Polynomial excluded-volume dummies from a separate form-factor table. +//! +//! For each structure atom/residue, this generator copies a polynomial +//! excluded-volume form factor from a dedicated YAML table (typically +//! `assets/poly_atev.yaml`) by matching on kind name. + +use crate::formfactor::FormFactorMap; +use crate::solvent::DummySet; +use crate::{Error, Result, Structure}; + +pub(super) fn dummies( + structure: &Structure, + atom_formfactors: &FormFactorMap, + excluded_formfactors: &FormFactorMap, +) -> Result { + let mut positions = Vec::with_capacity(structure.pos.len()); + let mut form_factors = Vec::with_capacity(structure.pos.len()); + + for (&id, &pos) in structure.ids.iter().zip(&structure.pos) { + let kind_name = atom_formfactors.kind(id).name(); + let ff = excluded_formfactors + .form_factor_by_name(kind_name) + .ok_or_else(|| { + Error::validation(format!( + "atom kind {kind_name} is missing from the polynomial excluded-volume table" + )) + })? + .clone(); + positions.push(pos); + form_factors.push(ff); + } + + log::info!( + "Polynomial excluded volume: {} dummies from separate table", + positions.len() + ); + DummySet::per_dummy(positions, form_factors) +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::formfactor::FormFactor; + use crate::{AtomKind, Vector3}; + + fn map_with(name: &str, coeff0: f64) -> FormFactorMap { + let kind = AtomKind::new(name); + let ff = FormFactor::Polynomial { + qrange: (0.0, 1.0), + coeff: vec![coeff0], + }; + FormFactorMap::from_entries(vec![(kind, ff)]) + } + + #[test] + fn copies_form_factors_by_kind_name() { + let atom_map = map_with("ALA", 10.0); + let excluded_map = map_with("ALA", 3.5); + let structure = Structure { + pos: vec![Vector3::new(0.0, 0.0, 0.0)], + ids: vec![0], + box_sides: None, + }; + + let d = dummies(&structure, &atom_map, &excluded_map).unwrap(); + let mut f = Vec::new(); + d.form_factors_at(0.2, &mut f).unwrap(); + assert_eq!(f, vec![3.5]); + } + + #[test] + fn missing_kind_in_excluded_table_errors() { + let atom_map = map_with("ALA", 10.0); + let excluded_map = map_with("GLY", 3.5); + let structure = Structure { + pos: vec![Vector3::new(0.0, 0.0, 0.0)], + ids: vec![0], + box_sides: None, + }; + + let err = dummies(&structure, &atom_map, &excluded_map).unwrap_err(); + assert!(format!("{err}").contains("ALA")); + } +} diff --git a/src/structure.rs b/src/structure.rs index 674dc96..061c30e 100644 --- a/src/structure.rs +++ b/src/structure.rs @@ -136,14 +136,39 @@ pub(crate) fn resolve_united_atom(residue: &str, atom: &str) -> Option<&'static }) } +fn resolve_atom_kind_id( + atomkinds: &[AtomKind], + atom_name: &str, + residue: Option<&str>, +) -> Result { + if let Some(residue) = residue { + let residue_scoped = format!("{residue}_{atom_name}"); + if let Some(id) = atomkinds.find_name(&residue_scoped) { + return Ok(id); + } + + if let Some(united) = resolve_united_atom(residue, atom_name) { + if let Some(id) = atomkinds.find_name(united) { + return Ok(id); + } + } + } + + atomkinds.find_name(atom_name).ok_or_else(|| { + Error::UnknownAtom(format!( + "{}; add an entry for this atom type to the form-factor YAML", + atom_name + )) + }) +} + impl Structure { /// Construct a structure from a PDB or XYZ file. Each atom is /// looked up by name in `atomkinds`. For PDB files, the lookup - /// first tries [`resolve_united_atom`] with residue context to - /// map heavy atoms to their united-atom form-factor type (e.g. - /// LYS:CB → CH₂), falling back to atom-name-only lookup for - /// atoms not in the table or for XYZ files (which have no - /// residue context). + /// first tries a residue-scoped key (`RES_ATOM`, e.g. `MET_BB`) + /// for coarse-grained Martini inputs, then [`resolve_united_atom`] + /// for atomic protein PDBs (e.g. LYS:CB → CH₂), and finally + /// falls back to atom-name-only lookup. pub fn from_file(path: &Path, atomkinds: &[AtomKind]) -> Result { let atoms = read_structure(path)?; @@ -151,18 +176,7 @@ impl Structure { let mut ids = Vec::with_capacity(atoms.len()); for atom in atoms { - let resolved_name = atom - .residue - .as_deref() - .and_then(|res| resolve_united_atom(res, &atom.name)) - .unwrap_or(&atom.name); - - let id = atomkinds.find_name(resolved_name).ok_or_else(|| { - Error::UnknownAtom(format!( - "{}; add an entry for this atom type to the form-factor YAML", - atom.name - )) - })?; + let id = resolve_atom_kind_id(atomkinds, &atom.name, atom.residue.as_deref())?; pos.push(Vector3::new( atom.position[0], atom.position[1], @@ -229,3 +243,24 @@ impl Display for Structure { write!(f, "𝑁={}", self.pos.len()) } } + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn resolves_residue_scoped_martini_names_before_atomic_fallbacks() { + let atomkinds = vec![AtomKind::new("MET_BB"), AtomKind::new("NH")]; + + let id = resolve_atom_kind_id(&atomkinds, "BB", Some("MET")).unwrap(); + assert_eq!(atomkinds[id].name(), "MET_BB"); + } + + #[test] + fn resolves_united_atom_names_for_atomic_pdbs() { + let atomkinds = vec![AtomKind::new("MET_BB"), AtomKind::new("NH")]; + + let id = resolve_atom_kind_id(&atomkinds, "N", Some("MET")).unwrap(); + assert_eq!(atomkinds[id].name(), "NH"); + } +} diff --git a/tests/lysozyme/6lyz.xyz b/tests/lysozyme/6lyz.xyz new file mode 100644 index 0000000..03b3826 --- /dev/null +++ b/tests/lysozyme/6lyz.xyz @@ -0,0 +1,131 @@ +129 +# lysozyme 6lyz.pdb +LYS 0.5122222222222222 10.585777777777778 8.915222222222221 +VAL 2.6317142857142857 13.928142857142857 6.715285714285715 +PHE -2.172 14.515999999999998 8.884545454545455 +GLY -3.224 17.33325 5.4775 +ARG -5.408727272727273 22.652 4.659818181818181 +CYS -8.018166666666668 19.500666666666664 4.714 +GLU -6.296444444444446 14.504666666666667 6.433222222222223 +LEU -5.4295 17.8035 10.483624999999998 +ALA -9.1286 19.5242 9.872399999999999 +ALA -11.162200000000002 16.78 9.703399999999998 +ALA -9.5976 15.159199999999998 12.511599999999998 +MET -8.529375000000002 18.575625 14.872125 +LYS -14.604222222222221 18.872777777777777 13.259555555555556 +ARG -13.659363636363638 12.38281818181818 14.735818181818184 +HIS -10.838899999999999 13.9262 17.7428 +GLY -13.58625 18.449 19.298 +LEU -10.248874999999998 20.732875 18.713875 +ASP -14.306750000000001 23.386874999999996 16.183249999999997 +ASN -14.962375 26.26525 18.891875 +TYR -11.738 22.792166666666663 23.82875 +ARG -11.423181818181819 26.679181818181817 26.945181818181823 +GLY -12.616 29.33575 21.57875 +TYR -8.916666666666668 29.014166666666664 21.044416666666667 +SER -11.032666666666666 28.167833333333334 15.569166666666666 +LEU -10.594874999999998 24.167 13.223750000000003 +GLY -7.701499999999999 27.163 12.576249999999998 +ASN -6.607874999999999 28.894375 15.796125 +TRP -6.4195714285714285 23.953357142857147 17.80578571428571 +VAL -4.573428571428572 23.815857142857144 11.411857142857144 +CYS -1.9116666666666668 27.234833333333338 12.286166666666668 +ALA -0.33659999999999995 25.567199999999996 15.174600000000002 +ALA 0.3356 22.5218 13.468799999999998 +LYS 2.1854444444444443 24.269666666666666 9.088111111111111 +PHE 3.7260909090909085 27.525454545454544 11.199454545454543 +GLU 4.7925555555555555 23.753 16.27144444444444 +SER 4.856166666666668 20.011833333333332 12.861500000000001 +ASN 5.044875 20.8345 8.4655 +PHE 0.5182727272727271 19.63081818181818 8.908363636363635 +ASN 5.345 15.364624999999998 10.960500000000001 +THR 3.1882857142857146 13.013 13.665428571428572 +GLN 7.392444444444444 10.857777777777779 13.094444444444445 +ALA 8.0794 15.475400000000002 15.360399999999998 +THR 11.182142857142855 15.622142857142858 17.461285714285715 +ASN 12.327874999999999 19.511125 18.411250000000003 +ARG 16.72127272727273 17.804363636363636 23.35763636363636 +ASN 14.274249999999999 22.162499999999998 24.204 +THR 18.06142857142857 24.325285714285712 26.244714285714288 +ASP 15.360125 22.429999999999996 29.30875 +GLY 16.17175 18.942249999999998 27.99875 +SER 13.121333333333332 19.307166666666664 27.07833333333333 +THR 11.802142857142858 16.979000000000003 24.159571428571432 +ASP 9.052000000000001 19.35675 21.992624999999997 +TYR 7.959333333333333 14.609833333333334 22.247416666666666 +GLY 4.374750000000001 16.11975 17.61925 +ILE 1.0695000000000001 17.593 15.155999999999999 +LEU 0.36750000000000005 20.113249999999997 18.7425 +GLN 5.801666666666667 19.848 19.34288888888889 +ILE 3.31175 17.996750000000002 23.65625 +ASN 7.152750000000001 19.639374999999998 26.894625 +SER 8.815 16.473166666666668 28.609499999999997 +ARG 10.129545454545456 20.483727272727272 32.894363636363636 +TRP 5.715071428571428 21.234214285714284 32.853857142857144 +TRP 1.7999999999999996 18.878000000000004 29.656071428571426 +CYS 5.178999999999999 13.727666666666666 28.461000000000002 +ASN 7.6015 10.060749999999999 30.364875 +ASP 10.931875 11.149750000000001 27.698125000000005 +GLY 12.81875 9.28575 30.559 +ARG 15.797909090909092 12.473363636363633 27.441 +THR 12.897285714285715 14.926285714285715 31.266142857142857 +PRO 14.433285714285715 15.232571428571427 35.10885714285714 +GLY 11.22375 17.244500000000002 36.57725 +SER 9.069833333333333 15.235833333333334 34.83316666666666 +ARG 6.079636363636363 17.827545454545458 37.23118181818182 +ASN 3.04975 12.692499999999999 33.125625 +LEU 0.166875 16.43125 33.99575 +CYS -1.2148333333333332 13.898166666666667 30.11616666666667 +ASN -0.559125 9.852875000000001 32.52125 +ILE 1.2777500000000002 9.80475 27.799625 +PRO 3.9159999999999995 7.905714285714285 26.96657142857143 +CYS 6.099333333333333 11.158999999999999 24.8155 +SER 5.844166666666666 7.924333333333333 22.22883333333333 +ALA 2.2041999999999997 8.4306 21.9746 +LEU 2.235125 12.334500000000002 21.556250000000002 +LEU 5.074624999999999 10.5635 17.792125000000002 +SER 1.0148333333333335 8.228666666666667 16.524666666666665 +SER -0.7610000000000001 8.181666666666667 13.035166666666669 +ASP -4.265125 8.306875000000002 16.223875 +ILE -4.387625 12.893375 16.487125 +THR -6.363857142857144 10.65542857142857 19.95428571428571 +ALA -3.3015999999999996 11.6446 22.4504 +SER -2.265333333333333 14.7975 20.950166666666664 +VAL -6.2892857142857155 16.054285714285715 21.069428571428574 +ASN -7.039125 13.93525 24.665374999999997 +CYS -2.9375 16.61616666666667 25.951666666666668 +ALA -4.1335999999999995 19.6486 24.0618 +LYS -8.511 18.980555555555554 25.049444444444447 +LYS -5.365444444444445 18.779222222222224 30.346555555555554 +ILE -2.157625 22.186 27.400624999999998 +VAL -5.902285714285715 24.930000000000003 26.331428571428575 +SER -7.880333333333333 24.440833333333334 29.789166666666663 +ASP -4.602374999999999 24.446499999999997 31.592750000000002 +GLY -4.59425 29.249499999999998 31.314500000000002 +ASN -1.7429999999999997 30.4125 29.339250000000003 +GLY -3.9345000000000003 28.94475 26.3185 +MET -3.377375 28.439625000000003 21.89225 +ASN -0.45425000000000004 31.87975 24.474749999999997 +ALA 1.4384000000000001 27.494999999999997 25.1242 +TRP 0.49399999999999994 25.44571428571428 21.939428571428575 +VAL 5.691428571428571 29.79942857142857 20.70885714285714 +ALA 3.9814000000000007 29.3072 17.319 +TRP -1.4782857142857142 30.96464285714286 18.6195 +ARG 2.887909090909091 33.40109090909092 21.357727272727274 +ASN 4.9098749999999995 34.506249999999994 17.55725 +ARG 4.395545454545455 31.769545454545458 12.544818181818185 +CYS -1.2428333333333332 32.282 14.351333333333335 +LYS -2.145222222222222 35.67555555555556 18.545222222222222 +GLY -4.0992500000000005 37.690749999999994 14.42175 +THR -3.9265714285714286 35.91785714285714 11.949428571428571 +ASP -7.348374999999999 35.091875 8.627875 +VAL -6.970857142857143 31.403428571428574 11.296142857142858 +GLN -11.23711111111111 31.485666666666663 8.82888888888889 +ALA -7.2136 30.238 5.6996 +TRP -3.9581428571428567 27.70157142857143 7.593285714285714 +ILE -10.503499999999999 25.809 7.287875 +ARG -9.800545454545455 29.533818181818184 2.885363636363636 +GLY -11.81 23.7925 0.9970000000000001 +CYS -12.322666666666665 22.100333333333328 3.6685 +ARG -14.368636363636364 17.548000000000002 1.6985454545454546 +LEU -15.547 20.791444444444444 7.384888888888889 diff --git a/tests/lysozyme/lyzexp.dat b/tests/lysozyme/lyzexp.dat index 1ee6934..81f45d2 100644 --- a/tests/lysozyme/lyzexp.dat +++ b/tests/lysozyme/lyzexp.dat @@ -1,4 +1,4 @@ -lizosyme, high 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zSitPq2NQt*AsaA2T>h*FT7LW6@`DQW_b~(nu={xr!@@zW_!7wQB1o*Qa&e_ Date: Thu, 23 Apr 2026 09:45:37 +0200 Subject: [PATCH 02/22] Updated python notebook for plotting results --- pripps-py/examples/testing_sasbdb.ipynb | 36 +++++-------------------- 1 file changed, 7 insertions(+), 29 deletions(-) diff --git a/pripps-py/examples/testing_sasbdb.ipynb b/pripps-py/examples/testing_sasbdb.ipynb index aeceb74..d737feb 100644 --- a/pripps-py/examples/testing_sasbdb.ipynb +++ b/pripps-py/examples/testing_sasbdb.ipynb @@ -2,20 +2,21 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 139, "id": "ce49d41d", "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", - "import pripps\n", - "from scipy.optimize import minimize\n", - "import matplotlib.pyplot as plt" + "import matplotlib.pyplot as plt\n", + "from pathlib import Path\n", + "import math\n", + "import pandas as pd" ] }, { "cell_type": "code", - "execution_count": 136, + "execution_count": 138, "id": "abb487c6", "metadata": {}, "outputs": [ @@ -54,9 +55,7 @@ } ], "source": [ - "from pathlib import Path\n", - "import math\n", - "import pandas as pd\n", + "\n", "\n", "base_dir = Path(\"../../sasbdb_bench/cache\")\n", "csv_files = sorted(base_dir.glob(\"*/sba_fit_martini.csv\"))\n", @@ -443,27 +442,6 @@ "summary_df" ] }, - { - "cell_type": "code", - "execution_count": 112, - "id": "d44a82a9", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "4.302908469963444" - ] - }, - "execution_count": 112, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "4/3 *np.pi *1.009**3" - ] - }, { "cell_type": "code", "execution_count": null, From 0ee45fdaae9379724841a1ea9c025aaa8a3b7b6a Mon Sep 17 00:00:00 2001 From: IVinterbladh Date: Thu, 23 Apr 2026 09:52:38 +0200 Subject: [PATCH 03/22] removed the incorrect form factors from the single_bead.yaml --- assets/single_bead.yaml | 364 ---------------------------------------- 1 file changed, 364 deletions(-) diff --git a/assets/single_bead.yaml b/assets/single_bead.yaml index d417599..8c4a075 100644 --- a/assets/single_bead.yaml +++ b/assets/single_bead.yaml @@ -446,370 +446,6 @@ I: }, } -# -# Single amino acid beads fitted to atomic rotamer library using PepsiSAXS (I. Vinterbladh, 2025) -# - -ALA: - { - radius: 3.1, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 8.942389031864906, - 0.0, - 5.792194402460091, - -16.535783442320792, - 12.669452307957307, - -3.822977263906558, - 0.3878762530699602, - ], - }, - } -ARG: - { - radius: 4.0, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 18.072451403788154, - 0.0, - -75.69947894790279, - 167.19851263909686, - -153.1865136736727, - 64.009506735669, - -10.050917424550024, - ], - }, - } -ASN: - { - radius: 3.6, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 19.94452083505653, - 0.0, - -24.990745895144894, - 10.187771836208402, - 12.739030956640574, - -10.430110317898663, - 2.1077112612942783, - ], - }, - } -ASP: - { - radius: 3.6, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 21.137012459568677, - 0.0, - -27.320010136136077, - 12.154865501945308, - 12.834201034703824, - -11.006888423155154, - 2.256916708561725, - ], - }, - } -CYS: - { - radius: 3.6, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 18.48802441743039, - 0.0, - -15.008260615966531, - -3.0592158092114654, - 20.84253154483713, - -12.72075350407731, - 2.329262619301162, - ], - }, - } -GLN: - { - radius: 3.8, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 19.092219102124133, - 0.0, - -55.71666277274864, - 94.70875173211498, - -68.40460682979565, - 22.951558073342618, - -2.9269918776215573, - ], - }, - } -GLU: - { - radius: 3.8, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 20.28555642388545, - 0.0, - -62.271777367004276, - 107.93247673344275, - -79.08167313520292, - 26.830603948880416, - -3.4559248839916377, - ], - }, - } -GLY: - { - radius: 2.9, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 10.030800861738951, - 0.0, - -4.6338656212978275, - 1.398787623262163, - 0.919899897500871, - -0.5731326454753257, - 0.08816182284498815, - ], - }, - } -HIS: - { - radius: 3.9, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 21.423113519818372, - 0.0, - -46.636108104362755, - 61.75539960072336, - -32.658537927918154, - 7.028428462064363, - -0.3833061237558807, - ], - }, - } -ILE: - { - radius: 3.6, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 6.135416805762242, - 0.0, - 45.106811072484085, - -106.84755293709196, - 95.13669370203318, - -37.58664095305978, - 5.5453809105857195, - ], - }, - } -LEU: - { - radius: 3.6, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 6.138168512978042, - 0.0, - 47.934902818764876, - -119.41463546663192, - 112.44915470654685, - -46.94202040498031, - 7.288134115831069, - ], - }, - } -LYS: - { - radius: 3.7, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 10.249270051425176, - 0.0, - -16.953595674466165, - 37.57945990805088, - -34.49272260928792, - 14.256901427971616, - -2.2024336596909, - ], - }, - } -MET: - { - radius: 3.8, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 16.59423258954827, - 0.0, - -33.43792957618986, - 52.55042360367518, - -31.06478276482932, - 7.038335637548599, - -0.3441818814436671, - ], - }, - } -PHE: - { - radius: 3.9, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 9.061740537641056, - 0.0, - 16.938904839573933, - -54.33141142136926, - 58.00279490595986, - -26.29056762935351, - 4.334887659581006, - ], - }, - } -PRO: - { - radius: 3.4, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 8.061676868999315, - 0.0, - 15.736582179430584, - -36.51095562070633, - 30.597163917734978, - -11.412299904725824, - 1.5972963247634666, - ], - }, - } -SER: - { - radius: 3.3, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 14.060149744444526, - 0.0, - -6.446479191981965, - -8.13892968407698, - 14.993502758938634, - -7.113990966458539, - 1.102168774618203, - ], - }, - } -THR: - { - radius: 3.5, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 12.97185298730747, - 0.0, - 5.452934153832478, - -30.909415998844427, - 32.40855032591247, - -13.20466495790777, - 1.9135129941830082, - ], - }, - } -TRP: - { - radius: 4.3, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 15.536691620224413, - 0.0, - -35.692376639503074, - 57.0316874604167, - -38.12208050539742, - 11.709602103861181, - -1.352226492272784, - ], - }, - } -TYR: - { - radius: 4.1, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 14.08639145237529, - 0.0, - -43.222400397463154, - 91.041729746804, - -80.28980159518841, - 32.47252773252689, - -4.95331234356697, - ], - }, - } -VAL: - { - radius: 3.4, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 6.993832972017251, - 0.0, - 31.500570359533587, - -72.60874851556713, - 61.18930275210783, - -22.682141929580425, - 3.13028149686691, - ], - }, - } CTR: { radius: 2.0, formfactor: !Alias C } NTR: { radius: 2.0, formfactor: !Alias N } HNTR: { ff: !Alias N } From 3252edbe811cf7b55f5404f8c3cd92735dcb0b9c Mon Sep 17 00:00:00 2001 From: IVinterbladh Date: Thu, 23 Apr 2026 10:42:18 +0200 Subject: [PATCH 04/22] updated the default excluded_atomfile to the correct file --- README.md | 13 +++++++------ pripps-py/src/lib.rs | 2 +- src/cli.rs | 2 +- src/solvent/mod.rs | 2 +- src/solvent/polynomial_excluded.rs | 2 +- 5 files changed, 11 insertions(+), 10 deletions(-) diff --git a/README.md b/README.md index 49f23ca..196d842 100644 --- a/README.md +++ b/README.md @@ -29,11 +29,12 @@ model = pr.multipole_model( qmin=0.0, qmax=0.5, nq=500, - excluded="foxs", # FoXS-style excluded volume (16π Fraser) - volume_scale=1.0, # fit knob c₁ (scales excluded volume) - hydration="sasa", # FoXS-style SASA-weighted hydration shell - probe=1.8, # SASA probe radius (Å) - contrast_density=0.03, # fit knob c₂ (scales hydration) + excluded="foxs", # FoXS-style excluded volume (16π Fraser) + #excluded_atomfile="assets/poly_excl.yaml", # When using polynomial for excluded add the file path + volume_scale=1.0, # fit knob c₁ (scales excluded volume) + hydration="sasa", # FoXS-style SASA-weighted hydration shell + probe=1.8, # SASA probe radius (Å) + contrast_density=0.03, # fit knob c₂ (scales hydration) bulk_electron_density=0.334, # e/ų, pure water ) @@ -103,7 +104,7 @@ print(f"c1={result.x[0]:.4f}, c2={result.x[1]:.4f}, χ²/N={result.fun:.4f}") | `hydration` | `"disabled"`, `"sasa"`, `"grid"`, `"voronoi"` | Hydration-shell model | | `volume_scale` | float (default 1.0) | Scales excluded volume (PepsiSAXS `r₀`) | | `excluded_spacing` | float (default 1.0) | Grid spacing (Å) for `excluded="grid"` | -| `excluded_atomfile` | path (default `assets/poly_atev.yaml`) | Excluded-volume form-factor YAML for `excluded="polynomial"` | +| `excluded_atomfile` | path (default `assets/poly_excl.yaml`) | Excluded-volume form-factor YAML for `excluded="polynomial"` | | `contrast_density` | float (default 0.03) | Fractional hydration-layer excess density (c₂ in `A − c₁·C + c₂·B`) — pepsi's `d_rho / ρ_water`, ~0.1 for a 10 % excess layer | | `probe` | float (default: 1.8 for SASA/grid, 6.0 for voronoi) | Water probe radius in Å | | `spacing` | float (default 1.5) | Grid spacing (Å) for `hydration="grid"` | diff --git a/pripps-py/src/lib.rs b/pripps-py/src/lib.rs index 115930d..aa5c689 100644 --- a/pripps-py/src/lib.rs +++ b/pripps-py/src/lib.rs @@ -7,7 +7,7 @@ use ::pripps::{ ExcludedVolume, Hydration, Intensity, MultipoleModel, Pripps, SolventConfig, read_formfactors, }; -const DEFAULT_POLY_EXCLUDED_ATOMFILE: &str = "assets/poly_atev.yaml"; +const DEFAULT_POLY_EXCLUDED_ATOMFILE: &str = "assets/poly_excl.yaml"; #[pyclass(name = "Pripps", module = "pripps")] struct PyPripps(Pripps); diff --git a/src/cli.rs b/src/cli.rs index b955d71..fe4f436 100644 --- a/src/cli.rs +++ b/src/cli.rs @@ -26,7 +26,7 @@ use std::env::set_var; use std::io::{BufWriter, Write}; use std::path::{Path, PathBuf}; -const DEFAULT_POLY_EXCLUDED_ATOMFILE: &str = "assets/poly_atev.yaml"; +const DEFAULT_POLY_EXCLUDED_ATOMFILE: &str = "assets/poly_excl.yaml"; /// Commands #[derive(Debug, Subcommand)] diff --git a/src/solvent/mod.rs b/src/solvent/mod.rs index 6d1094c..d3dcf89 100644 --- a/src/solvent/mod.rs +++ b/src/solvent/mod.rs @@ -206,7 +206,7 @@ pub enum ExcludedVolume { }, /// Per-kind excluded-volume form factors from a dedicated YAML /// table, evaluated directly (typically polynomial fits from - /// `poly_atev.yaml`). The table is matched by kind name against + /// `poly_excl.yaml`). The table is matched by kind name against /// the structure's atom/residue kinds. Polynomial { volume_scale: f64, diff --git a/src/solvent/polynomial_excluded.rs b/src/solvent/polynomial_excluded.rs index 1969b82..73d0ba2 100644 --- a/src/solvent/polynomial_excluded.rs +++ b/src/solvent/polynomial_excluded.rs @@ -7,7 +7,7 @@ //! //! For each structure atom/residue, this generator copies a polynomial //! excluded-volume form factor from a dedicated YAML table (typically -//! `assets/poly_atev.yaml`) by matching on kind name. +//! `assets/poly_excl.yaml`) by matching on kind name. use crate::formfactor::FormFactorMap; use crate::solvent::DummySet; From b4dbb766f7d4d0da80ed549b4aa310050a0a92d7 Mon Sep 17 00:00:00 2001 From: IVinterbladh Date: Fri, 29 May 2026 14:17:32 +0200 Subject: [PATCH 05/22] Added the sba amino acid form factors to singel_bead.yaml --- assets/single_bead.yaml | 363 ++++++++++++++++++++- pripps-py/examples/testing_sasbdb.ipynb | 410 ++++++++++++------------ 2 files changed, 574 insertions(+), 199 deletions(-) diff --git a/assets/single_bead.yaml b/assets/single_bead.yaml index 8c4a075..5f072aa 100644 --- a/assets/single_bead.yaml +++ b/assets/single_bead.yaml @@ -1,4 +1,365 @@ -# +# Amino acid single bead approximation for atomistic scattering +ALA: + { + radius: 3.1, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 37.98651145079954, + 0.0, + -17.88881261159881, + -3.1097731825829333, + 8.846459092736989, + -2.3572911188270753, + 0.05331786541354333, + ], + }, + } +ARG: + { + radius: 4.0, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 83.96908927242093, + 0.0, + -278.81910994314467, + 490.5059319443547, + -383.9755997417938, + 143.65451627028935, + -20.783481179736413, + ], + }, + } +ASN: + { + radius: 3.6, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 59.98205560472268, + 0.0, + -40.54214890095476, + -32.39953367060282, + 73.4159357342896, + -37.17064504604371, + 6.101333446616579, + ], + }, + } +ASP: + { + radius: 3.6, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 59.98252699985404, + 0.0, + -37.42179690845112, + -37.97031252961563, + 77.22160318216388, + -38.25436485287656, + 6.198643717045879, + ], + }, + } +CYS: + { + radius: 3.6, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 53.98471591625841, + 0.0, + -28.55463591537983, + -34.95759123047967, + 63.496177867671385, + -29.839780719449596, + 4.609281628955767, + ], + }, + } +GLN: + { + radius: 3.8, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 68.00029704612041, + 0.0, + -97.52724702286758, + 63.863879205326334, + 13.865971310987792, + -22.96589467520148, + 5.296934807386833, + ], + }, + } +GLU: + { + radius: 3.8, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 68.00262098772043, + 0.0, + -95.50455833177392, + 59.449715597229726, + 18.625430344038303, + -25.334425917186397, + 5.722041637792017, + ], + }, + } +GLY: + { + radius: 2.9, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 29.99006405529222, + 0.0, + -11.572242769967232, + -0.9021293993630419, + 3.790951509543525, + -0.7238332866526376, + -0.05549468364095844, + ], + }, + } +HIS: + { + radius: 3.9, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 71.99289906060545, + 0.0, + -93.58672742143521, + 41.460338892548805, + 39.724339660983915, + -34.41529003289915, + 7.057596750057414, + ], + }, + } +ILE: + { + radius: 3.6, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 61.97933054508859, + 0.0, + -45.55749645626756, + -26.94147636420316, + 68.41091746940783, + -34.307325839550984, + 5.508363044131372, + ], + }, + } +LEU: + { + radius: 3.6, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 61.9874112464829, + 0.0, + -54.07829774966109, + -19.672724727921118, + 75.75933357599484, + -42.87909415253206, + 7.580643479500708, + ], + }, + } +LYS: + { + radius: 3.7, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 69.99129116923348, + 0.0, + -177.94423757968704, + 272.0256856055207, + -188.2920973172914, + 63.303038257186586, + -8.32612812430321, + ], + }, + } +MET: + { + radius: 3.8, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 70.00691278772638, + 0.0, + -104.22345654704631, + 73.82601789465483, + 10.126507627913185, + -23.351946238697035, + 5.598503080281802, + ], + }, + } +PHE: + { + radius: 3.9, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 77.99863587497389, + 0.0, + -135.30506501839736, + 122.61728717372222, + -26.829761151876106, + -9.267313845762843, + 3.479368368324131, + ], + }, + } +PRO: + { + radius: 3.4, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 52.98008056903471, + 0.0, + -28.025579140605455, + -17.945632640349288, + 36.70484993598286, + -16.388585233440434, + 2.3759607129713807, + ], + }, + } +SER: + { + radius: 3.3, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 45.98433274188738, + 0.0, + -23.004358312306444, + -13.52528557404974, + 25.318714967455264, + -9.60754708227119, + 1.0838180112873488, + ], + }, + } +THR: + { + radius: 3.5, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 53.98079904257712, + 0.0, + -30.205614210054552, + -20.68857584136233, + 39.80321996161699, + -16.614363714862087, + 2.188488144363049, + ], + }, + } +TRP: + { + radius: 4.3, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 98.00026950327825, + 0.0, + -239.82185506986724, + 306.5877727946093, + -164.7189974469082, + 39.67855896479587, + -3.263270784166963, + ], + }, + } +TYR: + { + radius: 4.1, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 85.99025648157047, + 0.0, + -205.8271529828311, + 282.4197901545501, + -174.14171820412088, + 52.3398359916699, + -6.16839805508144, + ], + }, + } +VAL: + { + radius: 3.4, + formfactor: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 53.97802539665846, + 0.0, + -30.730380715977926, + -23.1259991191962, + 43.982242401804015, + -18.76619704074442, + 2.5506887609142446, + ], + }, + } + # Atomic properties for PRIPPS # # Units: diff --git a/pripps-py/examples/testing_sasbdb.ipynb b/pripps-py/examples/testing_sasbdb.ipynb index d737feb..e894a6f 100644 --- a/pripps-py/examples/testing_sasbdb.ipynb +++ b/pripps-py/examples/testing_sasbdb.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 139, + "execution_count": 2, "id": "ce49d41d", "metadata": {}, "outputs": [], @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": 138, + "execution_count": 3, "id": "abb487c6", "metadata": {}, "outputs": [ @@ -102,7 +102,7 @@ }, { "cell_type": "code", - "execution_count": 127, + "execution_count": 11, "id": "5fd4c741", "metadata": {}, "outputs": [ @@ -110,17 +110,20 @@ "name": "stdout", "output_type": "stream", "text": [ - "[PosixPath('../../sasbdb_bench/cache/SASDAW3/sba_fit_grid.csv'), PosixPath('../../sasbdb_bench/cache/SASDJG5/sba_fit_grid.csv'), PosixPath('../../sasbdb_bench/cache/SASDME4/sba_fit_grid.csv'), PosixPath('../../sasbdb_bench/cache/SASDT95/sba_fit_grid.csv')]\n", "4\n", "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n", "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n", "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n", + "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n", + "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n", + "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n", + "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n", "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n" ] }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -132,13 +135,15 @@ "source": [ "base_dir = Path(\"../../sasbdb_bench/cache\")\n", "csv_files = sorted(base_dir.glob(\"*/sba_fit_grid.csv\"))\n", + "csv_files_martini = sorted(base_dir.glob(\"*/sba_fit_martini.csv\"))\n", "\n", "if not csv_files:\n", " raise FileNotFoundError(f\"No matching files found under: {base_dir.resolve()}\")\n", "\n", - "selected_indices = [ 1, 5, 11, -1] # change these to the files you want\n", + "selected_indices = [ 1, 5, 12, -1] # change these to the files you want\n", "csv_files = [csv_files[i] for i in selected_indices]\n", - "print(csv_files)\n", + "csv_files_martini = [csv_files_martini[i] for i in selected_indices]\n", + "\n", "n = len(csv_files)\n", "print(n)\n", "ncols = 2\n", @@ -147,10 +152,13 @@ "fig, axes = plt.subplots(nrows, ncols, figsize=(14, 4 * nrows), squeeze=False)\n", "axes = axes.ravel()\n", "\n", - "for ax, csv_path in zip(axes, csv_files):\n", + "for ax, csv_path, csv_path_martini in zip(axes, csv_files, csv_files_martini):\n", " df = pd.read_csv(csv_path)\n", + " df_martini = pd.read_csv(csv_path_martini)\n", " num_df = df.select_dtypes(include=[np.number])\n", + " num_df_martini = df_martini.select_dtypes(include=[np.number])\n", " print(num_df.columns)\n", + " print(num_df_martini.columns)\n", " if num_df.shape[1] < 2:\n", " ax.set_title(csv_path.parent.name)\n", " ax.text(0.5, 0.5, \"Not enough numeric columns to plot\", ha=\"center\", va=\"center\")\n", @@ -159,25 +167,125 @@ "\n", " x = num_df.iloc[:, 0]\n", " for col in num_df.columns[1:-2]: # Exclude last two columns (i_fit and sigma)\n", - " ax.plot(x, num_df[col], label=\"Experiment\")\n", - " ax.plot(x, num_df[\"i_fit\"], label=\"Theoretical fit\", linestyle=\"-\")\n", + " ax.plot(x, num_df[col], label=\"Experiment\", alpha=0.5)\n", + " #ax.plot(x, num_df_martini[\"i_fit\"], label=\"Martini bead fit\", linestyle=\"-\", color=\"m\")\n", + " ax.plot(x, num_df[\"i_fit\"], label=\"Amino acid bead fit\", linestyle=\"-\", color=\"m\")\n", "\n", - " ax.set_title(csv_path.parent.name, fontsize=16)\n", - " ax.set_xlabel(num_df.columns[0], fontsize=14)\n", - " ax.set_ylabel(\"I(q)\", fontsize=14)\n", + " ax.set_title(csv_path.parent.name, fontsize=18)\n", + " ax.set_xlabel(r\"q ($\\AA^{-1}$)\", fontsize=16)\n", + " ax.set_ylabel(\"I(q)\", fontsize=16)\n", " #ax.grid(True, alpha=0.3)\n", " ax.set_yscale(\"log\")\n", - " ax.tick_params(axis=\"both\", which=\"major\", labelsize=12)\n", - " ax.legend(fontsize=12)\n", + " ax.tick_params(axis=\"both\", which=\"major\", labelsize=14)\n", + " ax.legend(fontsize=16)\n", "\n", "for ax in axes[len(csv_files):]:\n", " ax.axis(\"off\")\n", "\n", + "panel_labels = [\"A\", \"B\", \"C\", \"D\"]\n", + "for i, ax in enumerate(axes[:len(csv_files)]):\n", + " label = panel_labels[i] if i < len(panel_labels) else chr(ord(\"A\") + i)\n", + " ax.text(\n", + " 0.03, 0.05, label,\n", + " transform=ax.transAxes,\n", + " fontsize=20,\n", + " fontweight=\"bold\",\n", + " ha=\"left\",\n", + " va=\"bottom\"\n", + " )\n", "plt.tight_layout()\n", "plt.savefig(base_dir / \"sba_fits_grid.pdf\")\n", "plt.show()" ] }, + { + "cell_type": "code", + "execution_count": 10, + "id": "ed22df74", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n", + "Index(['q', 'i_exp', 'i_fit', 'sigma'], dtype='object')\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "base_dir = Path(\"../../sasbdb_bench/cache\")\n", + "csv_files = sorted(base_dir.glob(\"*/sba_fit_grid.csv\"))\n", + "\n", + "\n", + "selected_indices = [ 1] # change these to the files you want\n", + "csv_files = [csv_files[i] for i in selected_indices]\n", + "\n", + "csv_files_martini = sorted(base_dir.glob(\"*/sba_fit_martini.csv\"))\n", + "csv_files_martini = [csv_files_martini[i] for i in selected_indices]\n", + "\n", + "exp_only_files = []\n", + "for csv_path in csv_files:\n", + " tmp_df = pd.read_csv(csv_path)\n", + " if \"i_fit\" in tmp_df.columns:\n", + " tmp_df[\"i_fit\"] = np.nan\n", + " tmp_path = base_dir / f\"{csv_path.parent.name}_exp_only.csv\"\n", + " tmp_df.to_csv(tmp_path, index=False)\n", + " exp_only_files.append(tmp_path)\n", + "\n", + "csv_files = exp_only_files\n", + "\n", + "nrows, ncols = 1, 1\n", + "fig, axes = plt.subplots(nrows, ncols, figsize=(8, 6), squeeze=False)\n", + "axes = axes.ravel()\n", + "\n", + "\n", + "for ax, csv_path, csv_path_martini in zip(axes, csv_files, csv_files_martini):\n", + " df = pd.read_csv(csv_path)\n", + " df_martini = pd.read_csv(csv_path_martini)\n", + " num_df = df.select_dtypes(include=[np.number])\n", + " num_df_martini = df_martini.select_dtypes(include=[np.number])\n", + " print(num_df.columns)\n", + " print(num_df_martini.columns)\n", + " if num_df.shape[1] < 2:\n", + " ax.set_title(csv_path.parent.name)\n", + " ax.text(0.5, 0.5, \"Not enough numeric columns to plot\", ha=\"center\", va=\"center\")\n", + " ax.axis(\"off\")\n", + " continue\n", + "\n", + " x = num_df.iloc[:, 0]\n", + " for col in num_df.columns[1:-2]: # Exclude last two columns (i_fit and sigma)\n", + " ax.plot(x, num_df[col], label=\"Experiment\", alpha=0.5)\n", + " #ax.plot(x, num_df_martini[\"i_fit\"], label=\"Martini bead fit\", linestyle=\"-\", color=\"m\")\n", + " #ax.plot(x, num_df[\"i_fit\"], label=\"Amino acid bead fit\", linestyle=\"-\", color=\"m\")\n", + "\n", + " \n", + " ax.set_xlabel(r\"q ($\\AA^{-1}$)\", fontsize=16)\n", + " ax.set_ylabel(\"I(q)\", fontsize=16)\n", + " #ax.grid(True, alpha=0.3)\n", + " ax.set_yscale(\"log\")\n", + " ax.tick_params(axis=\"both\", which=\"major\", labelsize=14)\n", + " ax.legend(fontsize=16)\n", + "\n", + "for ax in axes[len(csv_files):]:\n", + " ax.axis(\"off\")\n", + "\n", + "\n", + "plt.tight_layout()\n", + "plt.savefig(base_dir / \"sba_fits_grid_1.pdf\")\n", + "plt.show()" + ] + }, { "cell_type": "code", "execution_count": 131, @@ -230,7 +338,7 @@ }, { "cell_type": "code", - "execution_count": 134, + "execution_count": 160, "id": "75974a2e", "metadata": {}, "outputs": [ @@ -238,208 +346,114 @@ "name": "stdout", "output_type": "stream", "text": [ - "7.977486467715632\n" + "6.666302040833983\n", + "6.8857041521516145\n" ] } ], "source": [ - "summary_path = base_dir / \"sba_summary_martini.csv\"\n", - "\n", + "summary_path = base_dir / \"sba_summary_grid.csv\"\n", + "summary_path_martini = base_dir / \"sba_summary_martini.csv\"\n", "if not summary_path.exists():\n", " raise FileNotFoundError(f\"File not found: {summary_path.resolve()}\")\n", "\n", "summary_df = pd.read_csv(summary_path, usecols=range(4))\n", + "summary_df_martini = pd.read_csv(summary_path_martini, usecols=range(4))\n", "#summary_df = pd.read_csv(summary_path)\n", "\n", + "#exclude row 11\n", + "summary_df_martini = summary_df_martini.drop(index=11)\n", "\n", - "print(np.mean(summary_df['chi2_per_point']))" + "print(np.mean(summary_df['chi2_per_point']))\n", + "print(np.mean(summary_df_martini['chi2_per_point']))" ] }, { "cell_type": "code", - "execution_count": 135, + "execution_count": 168, "id": "50552e70", "metadata": {}, "outputs": [ { - "data": { - "text/html": [ - "
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sidc1c2chi2_per_point
0SASDA920.5967780.03206511.965604
1SASDAW31.125131-0.0021867.996393
2SASDEM61.0953650.0519175.844511
3SASDF861.0701530.0324065.537906
4SASDJF50.9467320.0351955.696015
5SASDJG50.9994080.0326433.203928
6SASDJQ40.5902010.01845410.100352
7SASDJU51.2288980.0207554.149262
8SASDKG40.9186680.5435835.618287
9SASDL821.1477410.0155492.520915
10SASDMB51.0925670.0030995.888946
11SASDME41.1608340.45144525.446004
12SASDMZ90.752742-0.00707914.624083
13SASDP391.1823840.0505798.894835
14SASDT750.674365-0.0010201.647053
15SASDT851.068967-0.01323114.523205
16SASDT951.0253820.0015941.959971
\n", - "
" - ], - "text/plain": [ - " sid c1 c2 chi2_per_point\n", - "0 SASDA92 0.596778 0.032065 11.965604\n", - "1 SASDAW3 1.125131 -0.002186 7.996393\n", - "2 SASDEM6 1.095365 0.051917 5.844511\n", - "3 SASDF86 1.070153 0.032406 5.537906\n", - "4 SASDJF5 0.946732 0.035195 5.696015\n", - "5 SASDJG5 0.999408 0.032643 3.203928\n", - "6 SASDJQ4 0.590201 0.018454 10.100352\n", - "7 SASDJU5 1.228898 0.020755 4.149262\n", - "8 SASDKG4 0.918668 0.543583 5.618287\n", - "9 SASDL82 1.147741 0.015549 2.520915\n", - "10 SASDMB5 1.092567 0.003099 5.888946\n", - "11 SASDME4 1.160834 0.451445 25.446004\n", - "12 SASDMZ9 0.752742 -0.007079 14.624083\n", - "13 SASDP39 1.182384 0.050579 8.894835\n", - "14 SASDT75 0.674365 -0.001020 1.647053\n", - "15 SASDT85 1.068967 -0.013231 14.523205\n", - "16 SASDT95 1.025382 0.001594 1.959971" - ] - }, - "execution_count": 135, - "metadata": {}, - "output_type": "execute_result" + "name": "stdout", + "output_type": "stream", + "text": [ + "\\begin{table}\n", + "\\caption{Comparison of chi2 per point (Grid vs Martini)}\n", + "\\label{tab:chi2_comparison}\n", + "\\begin{tabular}{lrr}\n", + "\\toprule\n", + "sid & chi2_grid & chi2_martini \\\\\n", + "\\midrule\n", + "SASDA92 & 12.08 & 11.97 \\\\\n", + "SASDAW3 & 7.49 & 8.00 \\\\\n", + "SASDEM6 & 4.85 & 5.84 \\\\\n", + "SASDF86 & 12.21 & 5.54 \\\\\n", + "SASDJF5 & 5.51 & 5.70 \\\\\n", + "SASDJG5 & 3.59 & 3.20 \\\\\n", + "SASDJQ4 & 10.41 & 10.10 \\\\\n", + "SASDJU5 & 3.71 & 4.15 \\\\\n", + "SASDKG4 & 5.39 & 5.62 \\\\\n", + "SASDL82 & 2.65 & 2.52 \\\\\n", + "SASDMB5 & 6.35 & 5.89 \\\\\n", + "SASDME4 & 1.41 & -- \\\\\n", + "SASDMZ9 & 14.65 & 14.62 \\\\\n", + "SASDP39 & 2.07 & 8.89 \\\\\n", + "SASDT75 & 1.78 & 1.65 \\\\\n", + "SASDT85 & 17.08 & 14.52 \\\\\n", + "SASDT95 & 2.11 & 1.96 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\end{table}\n", + "\n", + " sid chi2_grid chi2_martini\n", + "SASDA92 12.079575 11.965604\n", + "SASDAW3 7.488310 7.996393\n", + "SASDEM6 4.854856 5.844511\n", + "SASDF86 12.207094 5.537906\n", + "SASDJF5 5.508333 5.696015\n", + "SASDJG5 3.590875 3.203928\n", + "SASDJQ4 10.406385 10.100352\n", + "SASDJU5 3.705424 4.149262\n", + "SASDKG4 5.392569 5.618287\n", + "SASDL82 2.652590 2.520915\n", + "SASDMB5 6.346724 5.888946\n", + "SASDME4 1.414645 NaN\n", + "SASDMZ9 14.649196 14.624083\n", + "SASDP39 2.071191 8.894835\n", + "SASDT75 1.778664 1.647053\n", + "SASDT85 17.075303 14.523205\n", + "SASDT95 2.105401 1.959971\n" + ] } ], "source": [ - "summary_df" + "# Create a comparison table\n", + "comparison_df = pd.DataFrame({\n", + " 'sid': summary_df['sid'],\n", + " 'chi2_grid': summary_df['chi2_per_point'],\n", + " 'chi2_martini': summary_df_martini['chi2_per_point']\n", + "})\n", + "\n", + "# Calculate the difference\n", + "#comparison_df['difference'] = comparison_df['chi2_grid'] - comparison_df['chi2_martini']\n", + "#comparison_df['percent_change'] = (comparison_df['difference'] / comparison_df['chi2_grid'] * 100).round(2)\n", + "#comparison_df[\"difference\"] = comparison_df[\"chi2_grid\"] - comparison_df[\"chi2_martini\"]\n", + "#comparison_df[\"percent_change\"] = ( comparison_df[\"difference\"] / comparison_df[\"chi2_grid\"] * 100).round(2)\n", + "\n", + "latex_table = comparison_df.to_latex(\n", + " index=False,\n", + " float_format=\"%.2f\",\n", + " na_rep=\"--\",\n", + " caption=\"Comparison of chi2 per point (Grid vs Martini)\",\n", + " label=\"tab:chi2_comparison\"\n", + ")\n", + "\n", + "print(latex_table)\n", + "print(comparison_df.to_string(index=False))\n", + "#summary_df['sid'] \n", + "#summary_df['chi2_per_point']\n", + "#summary_df_martini['chi2_per_point']" ] }, { @@ -453,7 +467,7 @@ ], "metadata": { "kernelspec": { - "display_name": "pripps-py", + "display_name": "pepsi", "language": "python", "name": "python3" }, @@ -467,7 +481,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.14" + "version": "3.11.0" } }, "nbformat": 4, From 04deed8002e4614125930b6beffa73d4eeed08d9 Mon Sep 17 00:00:00 2001 From: IVinterbladh <122789457+IVinterbladh@users.noreply.github.com> Date: Fri, 29 May 2026 14:30:21 +0200 Subject: [PATCH 06/22] Potential fix for pull request finding Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> --- tests/lysozyme/lyzexp.dat | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/lysozyme/lyzexp.dat b/tests/lysozyme/lyzexp.dat index 81f45d2..54f4fd1 100644 --- a/tests/lysozyme/lyzexp.dat +++ b/tests/lysozyme/lyzexp.dat @@ -1,4 +1,4 @@ -#lizosyme, high angles (>.22) 46 mg/ml, small angles (<.22) 15 mg/ml +# lysozyme, high angles (>.22) 46 mg/ml, small angles (<.22) 15 mg/ml 4.138455E-02 5.904029 1.555333E-01 4.371607E-02 5.652469 1.527037E-01 4.604759E-02 5.533381 1.521723E-01 From eadde460c3f519534ee1ca65fcf9a5fb4600c3c5 Mon Sep 17 00:00:00 2001 From: IVinterbladh <122789457+IVinterbladh@users.noreply.github.com> Date: Fri, 29 May 2026 14:31:45 +0200 Subject: [PATCH 07/22] Potential fix for pull request finding Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 196d842..e553671 100644 --- a/README.md +++ b/README.md @@ -124,7 +124,7 @@ subtracted from the atomic scattering via | `foxs` | Same formula as `fraser` but with the FoXS 16π denominator: dummy form factor decays more slowly with q → larger excluded-volume subtraction at high q. Matches FoXS. | `displaced_volume` per atom kind | | `grid` | Fills the molecular envelope with uniform grid cells, each carrying a Fraser Gaussian sized by cell volume (`spacing³`). Independent of per-atom displaced volumes. | `radius` per atom kind | | `voronoi` | Per-atom Fraser Gaussians sized by individual Voronoi cell volumes. Derives displaced volumes geometrically — no tabulated volumes needed. Achieves χ²≈0.20 on lysozyme, comparable to `fraser`. | `radius` per atom kind | -| `polynomial` | Uses per-kind excluded-volume form factors from a dedicated YAML table (e.g. `assets/poly_atev.yaml`), matched by kind name to the input structure. | matching entries in `excluded_atomfile` | +| `polynomial` | Uses per-kind excluded-volume form factors from a dedicated YAML table (e.g. `assets/poly_excl.yaml`), matched by kind name to the input structure. | matching entries in `excluded_atomfile` | The `fraser` and `foxs` models use per-atom displaced volumes from the form-factor YAML (derived from `radius` as `(4/3)πr³` when From 6bf10a4fbe5a350a9f74efe46cb91b70b6927761 Mon Sep 17 00:00:00 2001 From: IVinterbladh <122789457+IVinterbladh@users.noreply.github.com> Date: Fri, 29 May 2026 14:34:50 +0200 Subject: [PATCH 08/22] Potential fix for pull request finding Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index e553671..4a5c1e7 100644 --- a/README.md +++ b/README.md @@ -32,9 +32,9 @@ model = pr.multipole_model( excluded="foxs", # FoXS-style excluded volume (16π Fraser) #excluded_atomfile="assets/poly_excl.yaml", # When using polynomial for excluded add the file path volume_scale=1.0, # fit knob c₁ (scales excluded volume) - hydration="sasa", # FoXS-style SASA-weighted hydration shell - probe=1.8, # SASA probe radius (Å) - contrast_density=0.03, # fit knob c₂ (scales hydration) + hydration="sasa", # FoXS-style SASA-weighted hydration shell + probe=1.8, # SASA probe radius (Å) + contrast_density=0.03, # fit knob c₂ (scales hydration) bulk_electron_density=0.334, # e/ų, pure water ) From 920ace1ff9de7360da2436d5b1038c5576262ba6 Mon Sep 17 00:00:00 2001 From: IVinterbladh Date: Fri, 12 Jun 2026 14:48:32 +0200 Subject: [PATCH 09/22] Changed names and structure of csv files with coefficients and removed the pdf files of lysozyme --- assets/poly_atev.csv | 148 ------- assets/poly_atomic+excluded.csv | 22 + ...ly_atev.yaml => poly_atomic+excluded.yaml} | 0 assets/poly_atomic.csv | 21 + assets/poly_excl.csv | 141 ------ assets/poly_excluded_solvent.csv | 21 + ...y_excl.yaml => poly_excluded_solvent.yaml} | 0 assets/poly_martini_atev.csv | 365 --------------- assets/poly_martini_atomic+excluded.csv | 53 +++ ...yaml => poly_martini_atomic+excluded.yaml} | 0 assets/poly_martini_atomic.csv | 418 +++--------------- assets/poly_martini_excl.csv | 365 --------------- assets/poly_martini_excluded_solvent.csv | 53 +++ ...aml => poly_martini_excluded_solvent.yaml} | 0 pripps-py/examples/testing_sasbdb.ipynb | 28 +- pripps-py/examples/testing_sba.ipynb | 10 +- tests/lysozyme/sba_fit.pdf | Bin 17702 -> 0 bytes tests/lysozyme/sba_fit_excl+hydration.pdf | Bin 17774 -> 0 bytes 18 files changed, 243 insertions(+), 1402 deletions(-) delete mode 100644 assets/poly_atev.csv create mode 100644 assets/poly_atomic+excluded.csv rename assets/{poly_atev.yaml => poly_atomic+excluded.yaml} (100%) create mode 100644 assets/poly_atomic.csv delete mode 100644 assets/poly_excl.csv create mode 100644 assets/poly_excluded_solvent.csv rename assets/{poly_excl.yaml => poly_excluded_solvent.yaml} (100%) delete mode 100644 assets/poly_martini_atev.csv create mode 100644 assets/poly_martini_atomic+excluded.csv rename assets/{poly_martini_atev.yaml => poly_martini_atomic+excluded.yaml} (100%) delete mode 100644 assets/poly_martini_excl.csv create mode 100644 assets/poly_martini_excluded_solvent.csv rename assets/{poly_martini_excl.yaml => poly_martini_excluded_solvent.yaml} (100%) delete mode 100644 tests/lysozyme/sba_fit.pdf delete mode 100644 tests/lysozyme/sba_fit_excl+hydration.pdf diff --git a/assets/poly_atev.csv b/assets/poly_atev.csv deleted file mode 100644 index 4e59a03..0000000 --- a/assets/poly_atev.csv +++ /dev/null @@ -1,148 +0,0 @@ -Restype,Coefficient Index,Value -ALA,0,8.9412587775497 -ALA,1,0.0 -ALA,2,16.011245238542376 -ALA,3,-16.521361728384683 -ALA,4,1.2933025488574188 -ALA,5,3.3398332086315183 -ALA,6,-0.9168303784888309 -ARG,0,22.478400682753 -ARG,1,0.0 -ARG,2,-76.88484987429919 -ARG,3,191.960715944726 -ARG,4,-186.00003070019167 -ARG,5,79.46368990494528 -ARG,6,-12.556750037517471 -ASN,0,19.949489234412567 -ASN,1,0.0 -ASN,2,1.6179004991799801 -ASN,3,-23.728215923317965 -ASN,4,28.038892792816576 -ASN,5,-12.386064402235293 -ASN,6,1.929507607517487 -ASP,0,21.142259115455996 -ASP,1,0.0 -ASP,2,0.8083841282589246 -ASP,3,-24.40440912470514 -ASP,4,29.535430988379265 -ASP,5,-13.10651536410425 -ASP,6,2.0372739416341537 -CYS,0,18.4839740069889 -CYS,1,0.0 -CYS,2,8.812507883396963 -CYS,3,-30.642459459023264 -CYS,4,29.917256325500603 -CYS,5,-11.91425779442574 -CYS,6,1.7004706037089043 -GLN,0,19.097505523941596 -GLN,1,0.0 -GLN,2,-19.519311966958725 -GLN,3,29.194793659203825 -GLN,4,-15.60297797159053 -GLN,5,2.294407640083047 -GLN,6,0.22452643450605897 -GLU,0,20.29129332390765 -GLU,1,0.0 -GLU,2,-23.92960632234384 -GLU,3,36.56322920155976 -GLU,4,-20.248077291844673 -GLU,5,3.4846151692772582 -GLU,6,0.13148709734953815 -GLY,0,10.03054111756488 -GLY,1,0.0 -GLY,2,3.8546967228919082 -GLY,3,0.6218935555757745 -GLY,4,-6.5173118334370725 -GLY,5,4.059828931486872 -GLY,6,-0.7342810687571033 -HIS,0,21.426981638952395 -HIS,1,0.0 -HIS,2,-6.545087786844122 -HIS,3,-9.218917681779088 -HIS,4,22.48808820296215 -HIS,5,-13.636405717258942 -HIS,6,2.629730298621099 -ILE,0,6.131903689507308 -ILE,1,0.0 -ILE,2,62.44603934058318 -ILE,3,-116.50937229150081 -ILE,4,87.22722909579876 -ILE,5,-29.91871615622492 -ILE,6,3.903617299464 -LEU,0,6.138681021896375 -LEU,1,0.0 -LEU,2,66.35117435927073 -LEU,3,-136.95291635172444 -LEU,4,116.85417275098094 -LEU,5,-46.21315581361594 -LEU,6,6.954197879918763 -LYS,0,10.255435432063244 -LYS,1,0.0 -LYS,2,-2.79528412490785 -LYS,3,31.003997628409078 -LYS,4,-38.481099323214984 -LYS,5,17.32696941435372 -LYS,6,-2.7042988301136206 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-VAL,BB,2,2.061631159601996 -VAL,BB,3,0.7872024303709435 -VAL,BB,4,-5.080444479262741 -VAL,BB,5,3.2226600061868638 -VAL,BB,6,-0.5960019731764394 diff --git a/assets/poly_martini_atomic+excluded.csv b/assets/poly_martini_atomic+excluded.csv new file mode 100644 index 0000000..b5104eb --- /dev/null +++ b/assets/poly_martini_atomic+excluded.csv @@ -0,0 +1,53 @@ +name,c0,c1,c2,c3,c4,c5,c6 +ALA_SC1,-1.7010874177132265,0.0,7.118764019567526,1.1145464157804394,-5.950013175357564,2.8714126567294755,-0.42838104934301313 +ALA_BB,10.643806846255465,0.0,2.0616371683115733,0.7872168906775016,-5.080460379455372,3.222662883174488,-0.5960016057238122 +ARG_SC1,-2.582459965203611,0.0,16.093491676712716,1.1997535742302685,-15.212231100907612,8.324901545777502,-1.3612064124992838 +ARG_SC2,14.428248841779087,0.0,-0.5306373105617507,1.6708928597353037,-4.220821223435202,2.340601736383018,-0.3836111601465304 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+GLN_SC1,8.444221071382211,0.0,17.678600522511136,-15.30698404588629,-1.7525725905064409,4.726896859211768,-1.1004371797545023 +GLN_BB,10.643801955137343,0.0,2.061635484428877,0.7872153749124453,-5.080458169900939,3.2226625571952128,-0.5960016907141563 +GLU_SC1,9.637509830770533,0.0,16.9079134467359,-14.850360181614349,-1.4743561994477412,4.367483853252233,-1.011774253849401 +GLU_BB,10.643804801462782,0.0,2.0616367722480975,0.7872167394450527,-5.080459403443487,3.2226622640656624,-0.5960014912253735 +GLY_BB,10.030507380458893,0.0,3.8641270986545533,0.5938012695810033,-6.486785053096451,4.045479409708778,-0.7318132454163564 +HIS_SC1,-0.3510341202994483,0.0,7.193968257062204,1.0071445792130653,-5.966246573308775,2.857512357903082,-0.4182231235167757 +HIS_SC2,5.208533893792252,0.0,3.8539382664534454,-0.7578802642311985,-2.104343630945438,1.154962103610813,-0.17552755823901833 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+TYR_SC2,-0.49467730589685305,0.0,6.905064702126387,1.4448572769420103,-6.0657993256015255,2.8196314526492494,-0.4066356099898165 +TYR_SC3,-0.49467728298728963,0.0,6.905040827851511,1.444857019166638,-6.065533022896432,2.8194439448562316,-0.4066009631311269 +TYR_SC4,4.7864749265977435,0.0,3.379084515901221,0.457435669705735,-2.6386732256533407,1.184403517784809,-0.16175671046904316 +TYR_SC1,-0.3510348934006665,0.0,7.198047296937748,0.9985596099204095,-5.979206265377417,2.869439868998658,-0.4205709369357118 +VAL_SC1,-3.650489697568667,0.0,20.152880104569256,-1.3077717593059774,-16.48666338249699,9.710777748612122,-1.654724631578258 +VAL_BB,10.643806849587198,0.0,2.061631159601996,0.7872024303709435,-5.080444479262741,3.2226600061868638,-0.5960019731764394 diff --git a/assets/poly_martini_atev.yaml b/assets/poly_martini_atomic+excluded.yaml similarity index 100% rename from assets/poly_martini_atev.yaml rename to assets/poly_martini_atomic+excluded.yaml diff --git a/assets/poly_martini_atomic.csv b/assets/poly_martini_atomic.csv index 56aa37f..6b7d0fb 100644 --- a/assets/poly_martini_atomic.csv +++ b/assets/poly_martini_atomic.csv @@ -1,365 +1,53 @@ -Restype,Bead,Coefficient Index,Value -ALA,BB,0,28.990073241622685 -ALA,BB,1,0.0 -ALA,BB,2,-11.177229580969742 -ALA,BB,3,-1.041230707343862 -ALA,BB,4,3.896739025786083 -ALA,BB,5,-0.7834153923743044 -ALA,BB,6,-0.04620768581327894 -ALA,SC1,0,8.997053946180342 -ALA,SC1,1,0.0 -ALA,SC1,2,-1.2886607141923 -ALA,SC1,3,-0.03638825162057108 -ALA,SC1,4,0.18489963241121238 -ALA,SC1,5,-0.03832455871722429 -ALA,SC1,6,0.001697258570267035 -ARG,BB,0,28.990057932554322 -ARG,BB,1,0.0 -ARG,BB,2,-11.177220266838871 -ARG,BB,3,-1.041226092258199 -ARG,BB,4,3.8967303202452412 -ARG,BB,5,-0.7834128682023218 -ARG,BB,6,-0.046207777496121594 -ARG,SC1,0,23.99124831405302 -ARG,SC1,1,0.0 -ARG,SC1,2,-7.981156485181654 -ARG,SC1,3,-0.6776012702015644 -ARG,SC1,4,2.6794596374711035 -ARG,SC1,5,-0.7861307512851896 -ARG,SC1,6,0.05925499871152162 -ARG,SC2,0,30.9866102992927 -ARG,SC2,1,0.0 -ARG,SC2,2,-10.682450094635128 -ARG,SC2,3,0.008438202667122363 -ARG,SC2,4,2.0427827396789526 -ARG,SC2,5,-0.25410137316149406 -ARG,SC2,6,-0.04668533259884278 -ASN,BB,0,28.990071951214787 -ASN,BB,1,0.0 -ASN,BB,2,-11.17722797636191 -ASN,BB,3,-1.0412240948996303 -ASN,BB,4,3.896728998077234 -ASN,BB,5,-0.783411173548231 -ASN,BB,6,-0.04620822231688848 -ASN,SC1,0,30.990344046065342 -ASN,SC1,1,0.0 -ASN,SC1,2,-10.962660759486624 -ASN,SC1,3,0.10456553650170775 -ASN,SC1,4,2.056126075783673 -ASN,SC1,5,-0.21514010046023557 -ASN,SC1,6,-0.06223668221858425 -ASP,BB,0,28.99007178084968 -ASP,BB,1,0.0 -ASP,BB,2,-11.177228704437532 -ASP,BB,3,-1.041228796546678 -ASP,BB,4,3.896736040491519 -ASP,BB,5,-0.7834141687596734 -ASP,BB,6,-0.046207835907916106 -ASP,SC1,0,30.992098589110185 -ASP,SC1,1,0.0 -ASP,SC1,2,-10.388624352718955 -ASP,SC1,3,0.01619143873102047 -ASP,SC1,4,2.028404171579579 -ASP,SC1,5,-0.2863892747842236 -ASP,SC1,6,-0.036240526229072145 -CYS,BB,0,28.990073156918307 -CYS,BB,1,0.0 -CYS,BB,2,-11.177229548311658 -CYS,BB,3,-1.0412307043014477 -CYS,BB,4,3.8967390144002354 -CYS,BB,5,-0.783415390085171 -CYS,BB,6,-0.04620768567828826 -CYS,SC1,0,24.996653755827243 -CYS,SC1,1,0.0 -CYS,SC1,2,-5.783163651245389 -CYS,SC1,3,-0.34532911042693604 -CYS,SC1,4,1.5583861303737778 -CYS,SC1,5,-0.395775769141109 -CYS,SC1,6,0.02112728069995473 -GLN,BB,0,28.990059920988905 -GLN,BB,1,0.0 -GLN,BB,2,-11.177227543485378 -GLN,BB,3,-1.0412324358250165 -GLN,BB,4,3.8967410941018636 -GLN,BB,5,-0.7834159587371587 -GLN,BB,6,-0.04620770091923099 -GLN,SC1,0,38.98694243630933 -GLN,SC1,1,0.0 -GLN,SC1,2,-18.127497785188805 -GLN,SC1,3,-2.4049403928179895 -GLN,SC1,4,8.490639757416263 -GLN,SC1,5,-2.581285024694723 -GLN,SC1,6,0.1625753176249738 -GLU,BB,0,28.99006767230987 -GLU,BB,1,0.0 -GLU,BB,2,-11.177227433700672 -GLU,BB,3,-1.041230507311932 -GLU,BB,4,3.8967382771794905 -GLU,BB,5,-0.7834152418715368 -GLU,BB,6,-0.046207676936278474 -GLU,SC1,0,38.98880243324203 -GLU,SC1,1,0.0 -GLU,SC1,2,-17.211766121026013 -GLU,SC1,3,-2.0435917639388985 -GLU,SC1,4,7.475844591717269 -GLU,SC1,5,-2.185879453549897 -GLU,SC1,6,0.12285238366868079 -GLY,BB,0,29.99006405529222 -GLY,BB,1,0.0 -GLY,BB,2,-11.572242769967232 -GLY,BB,3,-0.9021293993630419 -GLY,BB,4,3.790951509543525 -GLY,BB,5,-0.7238332866526376 -GLY,BB,6,-0.05549468364095844 -HIS,SC3,0,13.99350605270798 -HIS,SC3,1,0.0 -HIS,SC3,2,-2.4791719733678708 -HIS,SC3,3,-0.088318161771684 -HIS,SC3,4,0.4269151225115573 -HIS,SC3,5,-0.09443649275767085 -HIS,SC3,6,0.004759206618358824 -HIS,BB,0,28.990071589429462 -HIS,BB,1,0.0 -HIS,BB,2,-11.177231205753834 -HIS,BB,3,-1.0412319554395302 -HIS,BB,4,3.8967413104399258 -HIS,BB,5,-0.7834160491918043 -HIS,BB,6,-0.046207671026675 -HIS,SC1,0,13.994291016418991 -HIS,SC1,1,0.0 -HIS,SC1,2,-3.028487951456838 -HIS,SC1,3,-0.14227089967092343 -HIS,SC1,4,0.6410484878050596 -HIS,SC1,5,-0.15945052729447862 -HIS,SC1,6,0.010495122016798586 -HIS,SC2,0,14.993457078294256 -HIS,SC2,1,0.0 -HIS,SC2,2,-2.865434268994027 -HIS,SC2,3,-0.11480846937118006 -HIS,SC2,4,0.5341642897063875 -HIS,SC2,5,-0.12399235365092554 -HIS,SC2,6,0.007014314495974894 -ILE,BB,0,28.99007135732779 -ILE,BB,1,0.0 -ILE,BB,2,-11.177228541147086 -ILE,BB,3,-1.0412287813352208 -ILE,BB,4,3.8967359835633744 -ILE,BB,5,-0.7834141573146578 -ILE,BB,6,-0.046207835232843664 -ILE,SC1,0,23.991246888242692 -ILE,SC1,1,0.0 -ILE,SC1,2,-8.225449867713222 -ILE,SC1,3,-0.7454892069904946 -ILE,SC1,4,2.8834288813907736 -ILE,SC1,5,-0.846801645749526 -ILE,SC1,6,0.06153450500989255 -LEU,BB,0,28.990071522740585 -LEU,BB,1,0.0 -LEU,BB,2,-11.177236179202689 -LEU,BB,3,-1.041245433913739 -LEU,BB,4,3.896762079994296 -LEU,BB,5,-0.7834241575543661 -LEU,BB,6,-0.04620678255020216 -LEU,SC1,0,32.98844971570923 -LEU,SC1,1,0.0 -LEU,SC1,2,-13.923472278448905 -LEU,SC1,3,-0.03447599424689374 -LEU,SC1,4,3.3639806908770353 -LEU,SC1,5,-0.593846969672617 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+VAL_SC1,28.641691185690483,0.0,-28.745627186697078,0.38955789952016406,19.6553653540045,-10.648342430540302,1.7240229533400253 +VAL_BB,18.346290366849075,0.0,-12.653118950278962,-2.308841967187501,8.954249505039021,-3.911200811117064,0.5316807342435173 diff --git a/assets/poly_martini_excl.yaml b/assets/poly_martini_excluded_solvent.yaml similarity index 100% rename from assets/poly_martini_excl.yaml rename to assets/poly_martini_excluded_solvent.yaml diff --git a/pripps-py/examples/testing_sasbdb.ipynb b/pripps-py/examples/testing_sasbdb.ipynb index e894a6f..d32aac6 100644 --- a/pripps-py/examples/testing_sasbdb.ipynb +++ b/pripps-py/examples/testing_sasbdb.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "id": "ce49d41d", "metadata": {}, "outputs": [], @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "id": "abb487c6", "metadata": {}, "outputs": [ @@ -102,7 +102,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "id": "5fd4c741", "metadata": {}, "outputs": [ @@ -123,7 +123,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -140,7 +140,7 @@ "if not csv_files:\n", " raise FileNotFoundError(f\"No matching files found under: {base_dir.resolve()}\")\n", "\n", - "selected_indices = [ 1, 5, 12, -1] # change these to the files you want\n", + "selected_indices = [ 2, 5, 12, -1] # change these to the files you want\n", "csv_files = [csv_files[i] for i in selected_indices]\n", "csv_files_martini = [csv_files_martini[i] for i in selected_indices]\n", "\n", @@ -168,16 +168,18 @@ " x = num_df.iloc[:, 0]\n", " for col in num_df.columns[1:-2]: # Exclude last two columns (i_fit and sigma)\n", " ax.plot(x, num_df[col], label=\"Experiment\", alpha=0.5)\n", - " #ax.plot(x, num_df_martini[\"i_fit\"], label=\"Martini bead fit\", linestyle=\"-\", color=\"m\")\n", + " \n", " ax.plot(x, num_df[\"i_fit\"], label=\"Amino acid bead fit\", linestyle=\"-\", color=\"m\")\n", + " ax.plot(x, num_df_martini[\"i_fit\"], label=\"Martini bead fit\", linestyle=\"-\", color=\"k\", alpha=0.5)\n", "\n", " ax.set_title(csv_path.parent.name, fontsize=18)\n", " ax.set_xlabel(r\"q ($\\AA^{-1}$)\", fontsize=16)\n", " ax.set_ylabel(\"I(q)\", fontsize=16)\n", " #ax.grid(True, alpha=0.3)\n", " ax.set_yscale(\"log\")\n", + " ax.set_xscale(\"log\")\n", " ax.tick_params(axis=\"both\", which=\"major\", labelsize=14)\n", - " ax.legend(fontsize=16)\n", + " ax.legend(fontsize=16, loc=\"lower center\")\n", "\n", "for ax in axes[len(csv_files):]:\n", " ax.axis(\"off\")\n", @@ -200,7 +202,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 4, "id": "ed22df74", "metadata": {}, "outputs": [ @@ -288,15 +290,15 @@ }, { "cell_type": "code", - "execution_count": 131, + "execution_count": 5, "id": "78c36b23", "metadata": {}, "outputs": [ { "data": { - "image/png": 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b4zZNqbC5pPvyyy+PsWPHbtS+aNGibB9QxBeM9IFFCm6NtIV8U69QHOoVikO9QnGoV4puxYoV9Su0rWtpUbLjjz8+C61uueWWzfZNo32rjuBNI23TNA3t2rUzPQKFfdNLI8zTc1hoC/mmXqE41CsUh3qF4lCvFF2LFi3qV2i7yy67ROPGjWPBggUbtKfrHTt2rHab1F6T/hWBbZrH9rHHHvvY4LV58+bZ5aNS2CXwoqhSaOs5DMWgXqE41CsUh3qF4lCvFFlNs8PCrDjUrFmzOPDAA2Py5MkbfLqSrvft27fabVJ71f7JpEmTNuhfEdi+/vrr8Yc//CHatm1bh2cBAAAAAFBPRtomaUqCYcOGRa9evaJ3794xbty4eP/99+PUU0/Nbh86dGjstttu2Zyzydlnnx39+vWLq6++Oo488si4995747nnnotbb721MrA97rjjYubMmfHwww9nc+ZWzHfbpk2bLCgGAAAAANiaChXannDCCdliX5dddlkWrvbs2TMeffTRysXG3n777Q2GGB9yyCFxzz33xCWXXBIXXXRR7LXXXvHggw/Gfvvtl90+d+7c+M1vfpP9f9pXVY8//ngcdthhW/X8AAAAAADKSmnlLf4laSGy1q1bx7JlyyxERiGlqUYWLlwY7du3Ny8z5Jx6heJQr1Ac6hWKQ73SUHLEwsxpCwAAAADQEAhtAQAAAAByRGgLAAAAAJAjQlsAAAAAgBwR2gIAAAAA5IjQFgAAAAAgR4S2AAAAAAA5IrQFAAAAAMgRoS0AAAAAQI4IbQEAAAAAckRoCwAAAACQI0JbAAAAAIAih7aNGzeOhQsXbtT+7rvvZrcBAAAAALAVQ9tSqVRt++rVq6NZs2b/wqEAAAAAANCkpnfB9ddfn/0sKyuL2267LVq2bFl527p16+Kpp56Kbt26uUcBAAAAALZGaHvttddWjrQdP378BlMhpBG2u+++e9YOAAAAAMBWCG3ffPPN7Ofhhx8eDzzwQOy8887/wq8FAAAAAOBfCm0rPP7441u6CQAAAAAAtRnajho1Kr73ve/FDjvskP3/5lxzzTU1/d0AAAAAAHyS0Pb555+PtWvXZv8/c+bMbDGy6myqHQAAAACAWgxtr7vuumjVqlX2/0888UQNdw0AAAAAwJZqVJNOBxxwQCxevDj7/65du8a77767xb8IAAAAAIBaCm132mmnePPNN7P/f+utt2L9+vU12QwAAAAAgLqYHmHw4MHRr1+/2HXXXbN5a3v16hWNGzeutu8bb7yxpccAAAAAAMCWhLa33nprDBo0KP7yl7/EWWedFSNGjIgdd9yxJpsCAAAAAFDboW1yxBFHZD9nzJgRZ5999seGtu+8806Ul5dHo0Y1moEBAAAAAICazmlb1R133FGjUbb77LNPNv8tAAAAAAA1V2fDYEulUl3tGgAAAACg3jJ3AQAAAABAjghtAQAAAAByRGgLAAAAANAQQtuysrK62jUAAAAAQL1lITIAAAAAgBxpUlc7nj17dpSXl9fV7gEAAAAAGnZoO2jQoBr1e+CBB7KfnTt3/uRHBQAAAADQQNU4tG3dunXdHgkAAAAAADUPbe+44w53FwAAAABAURciAwAAAABgywltAQAAAAByRGgLAAAAAJAjQlsAAAAAgBwR2gIAAAAA1JfQtlWrVvHGG2/U3tEAAAAAADRw/1JoWyqVau9IAAAAAAAo3vQIN910U+y+++7RokWL6NOnT0yfPn2z/SdMmBDdunXL+vfo0SMeeeSRjYLnyy67LHbdddfYbrvtYsCAAfH666/X8VkAAAAAANRBaHvSSSdlUyRsLffdd1+MGjUqxowZEzNnzoz9998/Bg4cGAsXLqy2/5QpU2LIkCExfPjweP755+OYY47JLq+88kplnyuvvDKuv/76GD9+fEybNi122GGHbJ+rVq3aaucFAAAAAFChrFSgOQ7SyNqDDjoobrzxxuz6+vXro3PnznHmmWfG6NGjN+p/wgknxPvvvx8PP/xwZdvBBx8cPXv2zELadOrl5eVx3nnnxfnnn5/dvmzZsujQoUPceeedceKJJ9bouJYvXx6tW7fOtt2aITbUllRL6cOP9u3bR6NGhRuADw2KeoXiUK9QHOoVikO9UnQ1zRELk86sWbMmZsyYkU1fUCGFS+n61KlTq90mtVftn6RRtBX933zzzZg/f/4GfdKdlsLhTe0TAAAAAKAuNYmCWLx4caxbty4bBVtVuj5nzpxqt0mBbHX9U3vF7RVtm+pTndWrV2eXqgl5snLlyspRik2aNIlmzZplYfOHH35Y2bdp06bZJU2/kD4dqpD6pm0+2t68efNo3LhxfPDBBxscQ5qjt6ysLP75z39u0J7m5U0jiD86vcP222+f3X9Vjzsda9pPOr50nB9tX7t2bXap4Jzq7+OU9pWOsepzuOjnVB8fJ+fkcUrPvfQ8St8iqahXzz315DUiv6/l6f2mar16Lc/n4+Q9199G6bn30Xr13FNPXiPy+++ndKmo13SMXsvz+Th5z121yTwiPXfrVWibJ5dffnmMHTu22jl+0xM0+cIXvhD/8R//Ebfddls89dRTlX3SnLqDBg3K5tKtOrfu17/+9TjssMOyaR7mzZtX2Z6mbfjsZz8bI0eO3KCgfvjDH0abNm3itNNO2+AY0rQPS5YsiYsuuqiyLRXSrbfeGi+99FL8+Mc/rmxPU0P86Ec/iieeeCJ+9rOfVbbvt99+8Z//+Z/xwAMPxIMPPljZ7pzq7+OUtknHkj4cSS/q9eGc6uPj5Jw8Tum59+KLL2bPtfR+k+rVc089eY3I72v5FVdcES+88EJlvXotz+fj5D3X30bpuXfhhRdmAUOq1xRoeO6pJ68R+f3305NPPllZr8cee6zX8pw+Tt5zR28yj6hpaFuYOW1TSp9S/4kTJ2YvnhWGDRsWS5cujV//+tcbbdOlS5ds4bJzzjmnsi0tYpaeUOkfvW+88Ubsueee2SJlaZ7bCv369cuuX3fddTUeaZvm1p07d27lXBQ+XTAysEifbKV9/f3vf4+2bdsaaZvjx8lI22LUU10/Tun43nnnnWjXrp2Rtjl+nOrjc885fbKRtgsWLKisV4+T5556yu/rXuq/aNGiynr1upfPx8n7k78jKkbaVtSrkbbqqYivESlH3G233T52TttPFNqmE/7Vr34Vr776ana9e/fuWZBaMcq0rqS5Znv37h033HBDdj2dfApmzzjjjE0uRJbujIceeqiy7ZBDDsmS7aoLkaW0Oy1GlqQ7Li3GZCEyGhITuUNxqFcoDvUKxaFeoTjUKw1lIbItTllnzZoVRx11VDbn69577521pa9+pU84UjiahkjXlTRqNo2s7dWrVxbejhs3LpvH5NRTT81uHzp0aJZUp+kLkrPPPjsbNXv11VfHkUceGffee28899xz2ZDvJH2Cl0bhfv/734+99tor9thjj7j00kuzILfqaF4AAAAAgK1li0PbNDfFvvvum4WfO++8c9b23nvvxSmnnJLNyzBlypSoK2nkbBoCf9lll2WhcZrC4NFHH61cSOztt9+u/Gp3xajae+65Jy655JJsro4UzKapEaoGy2kOjhT8pmNP0ywceuih2T7TkGgAAAAAgK1ti6dHSPNEpMA2BbdVpQVzDjrooI3mnmkIajqsGfLK10ugONQrFId6heJQr1Ac6pWGkiP+37DUGvrMZz6TLajwUQsXLoxPf/rTW36kAAAAAAB88tA2zRd71llnxcSJE7PVq9Ml/X+aGzbNbZvS4ooLAAAAAAB1PKftV77ylezn8ccfny3klVTMsPDVr3618nq6bd26dVu6ewAAAACABm2LQ9vHH3+8bo4EAAAAAIAtD2379evnbgMAAAAAyMuctt/5zneylfo+Kq14NmTIkNo6LgAAAACABmmLQ9vbb789Dj300HjjjTcq25544ono0aNH/PWvf63t4wMAAAAAaFC2OLR96aWXolOnTtGzZ8/46U9/GhdccEF86UtfipNPPjmmTJlSN0cJAAAAANBAbPGctjvvvHP88pe/jIsuuii+8Y1vRJMmTeJ3v/td9O/fv26OEAAAAACgAdnikbbJDTfcENddd102h23Xrl3jrLPOihdffLH2jw4AAAAAoIHZ4tD2iCOOiLFjx8bPf/7zuPvuu+P555+PL3zhC3HwwQfHlVdeWTdHCQAAAADQQGxxaLtu3bpsXtvjjjsuu77ddtvFLbfcEhMnToxrr722Lo4RAAAAAKDB2OI5bSdNmlRt+5FHHhkvv/xybRwTAAAAAECD9YnmtH366afjpJNOir59+8bcuXOztv/6r/+KOXPm1PbxAQAAAAA0KFsc2t5///0xcODAbFqENJ/t6tWrs/Zly5bFD3/4w7o4RgAAAACABmOLQ9vvf//7MX78+PjpT38aTZs2rWz//Oc/HzNnzqzt4wMAAAAAaFC2OLR97bXX4gtf+MJG7a1bt46lS5fW1nEBAAAAADRIWxzaduzYMf7yl79s1P7HP/4xunbtWlvHBQAAAADQIG1xaDtixIg4++yzY9q0aVFWVhbz5s2Lu+++O84///z45je/WTdHCQAAAADQQDTZ0g1Gjx4d69evj/79+8cHH3yQTZXQvHnzLLQ988wz6+YoAQAAAAAaiC0ObdPo2osvvjguuOCCbJqElStXxj777BMtW7bcoN8777wT5eXl0ajRFg/mBQAAAABosLY4tK3QrFmzLKzdlHTbCy+8YJ5bAAAAAIAtUGfDYEulUl3tGgAAAACg3jJ3AQAAAABAjghtAQAAAAByRGgLAAAAANAQQtuysrK62jUAAAAAQL1lITIAAAAAgBxpUlc7nj17dpSXl9fV7gEAAAAAGnZoO2jQoBr1e+CBB7KfnTt3/uRHBQAAAADQQNU4tG3dunXdHgkAAAAAADUPbe+44w53FwAAAABAURciAwAAAABgywltAQAAAAByRGgLAAAAAJAjQlsAAAAAgBwR2gIAAAAA5IjQFgA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"text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -467,7 +469,7 @@ ], "metadata": { "kernelspec": { - "display_name": "pepsi", + "display_name": "pripps-py", "language": "python", "name": "python3" }, @@ -481,7 +483,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.0" + "version": "3.10.14" } }, "nbformat": 4, diff --git a/pripps-py/examples/testing_sba.ipynb b/pripps-py/examples/testing_sba.ipynb index 769aaff..b4f79ff 100644 --- a/pripps-py/examples/testing_sba.ipynb +++ b/pripps-py/examples/testing_sba.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "44b5339f", "metadata": {}, "outputs": [], @@ -42,7 +42,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 3, "id": "82ef40af", "metadata": {}, "outputs": [ @@ -62,7 +62,7 @@ " qmax=0.5,\n", " nq=196,\n", " excluded=\"polynomial\",\n", - " excluded_atomfile = \"/Users/isabelvinterbladh/Documents/HALRIC/pripps/assets/poly_excl.yaml\", # FoXS-style excluded volume (16π Fraser)\n", + " excluded_atomfile = \"/Users/isabelvinterbladh/Documents/HALRIC/pripps/assets/poly_excluded_solvent.yaml\", # FoXS-style excluded volume (16π Fraser)\n", " volume_scale=1.0, # fit knob c₁ (scales excluded volume)\n", " hydration=\"sasa\", # FoXS-style SASA-weighted hydration shell\n", " probe=1.8, # SASA probe radius (Å)\n", @@ -77,7 +77,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 4, "id": "2d2f1bec", "metadata": {}, "outputs": [ @@ -112,7 +112,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 5, "id": "d65ba913", "metadata": {}, "outputs": [ diff --git a/tests/lysozyme/sba_fit.pdf b/tests/lysozyme/sba_fit.pdf deleted file mode 100644 index 6b7950874f172b1fb32169f4329fbec3c340d44e..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 17702 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z-5qgCe+aqsny@tVqr8H&*}@B(hlz@Bx2y4;#1vnldK-ki)pnvjD(5ttF%!|En`IZ-WJH-LOZ~6W zNpk6P!-;|>$)IB`yT{Tl4>Yl6g?pRmNpAmX(}H64JMrHm`JoC{rl5HTY{ej>_rly= z0lQ;QB!1ivNB=T?P)Q(E9W-Lk0M@3Xtpm>1>I%dS$p;7KoCjiw!#TQ~heGZCdB^AA zY{5+m1oqe=f@Aw*l1u|Fo*mD16K(6gV_Io0pEy0!hVMV ziuO;K0JvH0s|RY3KVX3B+XutIK*s*o7I*;6-u*DptGf?|!hl;N`1=QE7z_dX0|v0= z5BxB2@Br{zTQ~{{E`fb8IP4F;Akl#By{{e`iP>KdhQffG*>C;9Py&C_i-v={*YEYv zC?IZNKMVtIru*vgWA@Vq19-Zh&oB%MR5!o3#R$Oufbj#zhW+*UQJ|vvy)8cmR1o`M zSitPq2NQt*AsaA2T>h*FT7LW6@`DQW_b~(nu={xr!@@zW_!7wQB1o*Qa&e_ Date: Mon, 15 Jun 2026 14:49:39 +0200 Subject: [PATCH 10/22] changed the structure of the polynomail excluded solvent to be part of the same file as the atomistic form factors and not a separate file. Code changed accordingly such that the excluded solvent form factors will be called from the same file as the others. --- README.md | 20 +- .../{single_bead.yaml => gaussian_atoms.yaml} | 0 assets/poly_amino_acid.csv | 41 + ...{poly_atomic.yaml => poly_amino_acid.yaml} | 284 +++++- assets/poly_atomic.csv | 21 - assets/poly_excluded_solvent.csv | 21 - assets/poly_excluded_solvent.yaml | 365 ------- assets/poly_martini.csv | 105 +++ ..._martini_atomic.yaml => poly_martini.yaml} | 731 +++++++++++++- assets/poly_martini_atomic.csv | 53 -- assets/poly_martini_excluded_solvent.csv | 53 -- assets/poly_martini_excluded_solvent.yaml | 889 ------------------ pripps-py/Cargo.toml | 1 + pripps-py/examples/batch_sba_sasbdb.py | 27 +- pripps-py/examples/testing_sasbdb.ipynb | 10 +- ...> testing_single-bead_approximation.ipynb} | 5 +- pripps-py/src/lib.rs | 15 +- pripps-py/tests/test_smoke.py | 8 +- scripts/sasbdb_bench.py | 4 +- src/cli.rs | 17 +- src/formfactor.rs | 213 ++++- src/lib.rs | 4 +- src/solvent/fraser.rs | 2 +- src/solvent/mod.rs | 12 +- src/solvent/polynomial_excluded.rs | 55 +- 25 files changed, 1413 insertions(+), 1543 deletions(-) rename assets/{single_bead.yaml => gaussian_atoms.yaml} (100%) create mode 100644 assets/poly_amino_acid.csv rename assets/{poly_atomic.yaml => poly_amino_acid.yaml} (54%) delete mode 100644 assets/poly_atomic.csv delete mode 100644 assets/poly_excluded_solvent.csv delete mode 100644 assets/poly_excluded_solvent.yaml create mode 100644 assets/poly_martini.csv rename assets/{poly_martini_atomic.yaml => poly_martini.yaml} (52%) delete mode 100644 assets/poly_martini_atomic.csv delete mode 100644 assets/poly_martini_excluded_solvent.csv delete mode 100644 assets/poly_martini_excluded_solvent.yaml rename pripps-py/examples/{testing_sba.ipynb => testing_single-bead_approximation.ipynb} (99%) diff --git a/README.md b/README.md index 4a5c1e7..a1ec596 100644 --- a/README.md +++ b/README.md @@ -30,7 +30,6 @@ model = pr.multipole_model( qmax=0.5, nq=500, excluded="foxs", # FoXS-style excluded volume (16π Fraser) - #excluded_atomfile="assets/poly_excl.yaml", # When using polynomial for excluded add the file path volume_scale=1.0, # fit knob c₁ (scales excluded volume) hydration="sasa", # FoXS-style SASA-weighted hydration shell probe=1.8, # SASA probe radius (Å) @@ -104,7 +103,6 @@ print(f"c1={result.x[0]:.4f}, c2={result.x[1]:.4f}, χ²/N={result.fun:.4f}") | `hydration` | `"disabled"`, `"sasa"`, `"grid"`, `"voronoi"` | Hydration-shell model | | `volume_scale` | float (default 1.0) | Scales excluded volume (PepsiSAXS `r₀`) | | `excluded_spacing` | float (default 1.0) | Grid spacing (Å) for `excluded="grid"` | -| `excluded_atomfile` | path (default `assets/poly_excl.yaml`) | Excluded-volume form-factor YAML for `excluded="polynomial"` | | `contrast_density` | float (default 0.03) | Fractional hydration-layer excess density (c₂ in `A − c₁·C + c₂·B`) — pepsi's `d_rho / ρ_water`, ~0.1 for a 10 % excess layer | | `probe` | float (default: 1.8 for SASA/grid, 6.0 for voronoi) | Water probe radius in Å | | `spacing` | float (default 1.5) | Grid spacing (Å) for `hydration="grid"` | @@ -124,7 +122,7 @@ subtracted from the atomic scattering via | `foxs` | Same formula as `fraser` but with the FoXS 16π denominator: dummy form factor decays more slowly with q → larger excluded-volume subtraction at high q. Matches FoXS. | `displaced_volume` per atom kind | | `grid` | Fills the molecular envelope with uniform grid cells, each carrying a Fraser Gaussian sized by cell volume (`spacing³`). Independent of per-atom displaced volumes. | `radius` per atom kind | | `voronoi` | Per-atom Fraser Gaussians sized by individual Voronoi cell volumes. Derives displaced volumes geometrically — no tabulated volumes needed. Achieves χ²≈0.20 on lysozyme, comparable to `fraser`. | `radius` per atom kind | -| `polynomial` | Uses per-kind excluded-volume form factors from a dedicated YAML table (e.g. `assets/poly_excl.yaml`), matched by kind name to the input structure. | matching entries in `excluded_atomfile` | +| `polynomial` | Uses per-kind excluded-solvent form factors stored as `excluded_solvent` beside each atom/residue `formfactor` in the same YAML file. | `excluded_solvent` for referenced atom kinds | The `fraser` and `foxs` models use per-atom displaced volumes from the form-factor YAML (derived from `radius` as `(4/3)πr³` when @@ -163,7 +161,8 @@ C: { ff: !Gaussian { qrange: [0.0, 1.0], ab: [[0.1, 2.0]], c: 0.4 }, NH: { radius: 1.009, displaced_volume: 7.606, ff: !United { center: N, orbit: [[H, 1.009, 1]] } } CA: { ff: !Alias C } -ALA: { ff: !Polynomial { qrange: [0.0, 0.75], coeff: [8.9, 0.0, 5.8, ...]} } +ALA: { ff: !Polynomial { qrange: [0.0, 0.75], coeff: [8.9, 0.0, 5.8, ...]}, + excluded_solvent: !Polynomial { qrange: [0.0, 0.75], coeff: [7.1, 0.0, 4.2, ...]} } ``` Supported form factor models: @@ -193,18 +192,19 @@ hydrogens that the effective radius does not account for. | File | Description | Best for | |------|-------------|----------| -| `assets/single_bead.yaml` | PepsiSAXS coefficients + coarse-grained residues; also covers united-atom kinds (CH/CH₂/NH/…) used by atomic PDBs | Cα / single-bead models; atomic PDBs with `--excluded voronoi` | +| `assets/poly_amino_acid.yaml` | Amino-acid bead polynomial form factors with matching `excluded_solvent` polynomials | Cα / single-bead models with `--excluded polynomial` | +| `assets/gaussian_atoms.yaml` | Stovgaard-style atomic/residue form factors; also covers united-atom kinds (CH/CH₂/NH/…) used by atomic PDBs | Atomic PDBs with PepsiSAXS-style solvent models | | `assets/foxs_formfactors.yaml` | Cromer-Mann (Int. Tables Vol. C), FoXS-compatible volumes and SASA radii | Atomic PDB files with `--excluded foxs` | -Both files use Gaussian b values in the standard s² = (q/4π)² -convention (International Tables / Cromer-Mann). The atomic -coefficients differ (Cromer-Mann vs Stovgaard-2010) and the -volume/radius tables match their respective tools. +Gaussian files use b values in the standard s² = (q/4π)² convention +(International Tables / Cromer-Mann). The atomic coefficients differ +(Cromer-Mann vs Stovgaard-2010) and the volume/radius tables match +their respective tools. **Don't mix files with non-matching `--excluded` flags.** Each YAML + excluded-volume convention is a self-consistent bundle: `foxs_formfactors.yaml` was calibrated jointly with FoXS's -`K = 16π` Gaussian, while `single_bead.yaml` was calibrated with +`K = 16π` Gaussian, while `gaussian_atoms.yaml` was calibrated with PepsiSAXS's `K = 4π`. Swapping the denominator gives atomic and excluded contributions that were never fit together and yields subtly biased intensities. diff --git a/assets/single_bead.yaml b/assets/gaussian_atoms.yaml similarity index 100% rename from assets/single_bead.yaml rename to assets/gaussian_atoms.yaml diff --git a/assets/poly_amino_acid.csv b/assets/poly_amino_acid.csv new file mode 100644 index 0000000..639ea48 --- /dev/null +++ b/assets/poly_amino_acid.csv @@ -0,0 +1,41 @@ +name,term,c0,c1,c2,c3,c4,c5,c6 +ALA,formfactor,37.98651145079954,0.0,-17.88881261159881,-3.1097731825829333,8.846459092736989,-2.3572911188270753,0.05331786541354333 +ALA,excluded_solvent,29.045092626980807,0.0,-26.82743171578708,-1.9310977148566097,20.168431250949013,-10.337343031318388,1.6129945355732858 +ARG,formfactor,83.96908927242093,0.0,-278.81910994314467,490.5059319443547,-383.9755997417938,143.65451627028935,-20.783481179736413 +ARG,excluded_solvent,61.48590421009381,0.0,-182.19421922046388,254.9995877714297,-162.0053689458599,51.021483900322494,-6.424772180212159 +ASN,formfactor,59.98205560472268,0.0,-40.54214890095476,-32.39953367060282,73.4159357342896,-37.17064504604371,6.101333446616579 +ASN,excluded_solvent,40.032910229163015,0.0,-43.419271616917506,-2.5096331414436257,37.78025696960391,-21.16604652006109,3.5704626997326017 +ASP,formfactor,59.98252699985404,0.0,-37.42179690845112,-37.97031252961563,77.22160318216388,-38.25436485287656,6.198643717045879 +ASP,excluded_solvent,38.84073261635539,0.0,-39.80757800147463,-6.1050880975993564,38.584033668906045,-20.838504513678572,3.448422193736537 +CYS,formfactor,53.98471591625841,0.0,-28.55463591537983,-34.95759123047967,63.496177867671385,-29.839780719449596,4.609281628955767 +CYS,excluded_solvent,35.50267070799075,0.0,-39.09278093395425,1.6989104594187223,28.01870291638898,-15.980070618028627,2.685602905744272 +GLN,formfactor,68.00029704612041,0.0,-97.52724702286758,63.863879205326334,13.865971310987792,-22.96589467520148,5.296934807386833 +GLN,excluded_solvent,48.898600541821935,0.0,-77.65395265978444,40.54946712843443,18.936705440015086,-19.2453476844495,3.940784263263467 +GLU,formfactor,68.00262098772043,0.0,-95.50455833177392,59.449715597229726,18.625430344038303,-25.334425917186397,5.722041637792017 +GLU,excluded_solvent,47.70649459960143,0.0,-72.13383592347742,32.19791380532419,24.30930931866937,-20.876834470726052,4.131360684537825 +GLY,formfactor,29.99006405529222,0.0,-11.572242769967232,-0.9021293993630419,3.790951509543525,-0.7238332866526376,-0.05549468364095844 +GLY,excluded_solvent,19.95957354188481,0.0,-14.596710882003759,-2.4650485889412432,10.550404760378463,-4.733006480429002,0.658871566636229 +HIS,formfactor,71.99289906060545,0.0,-93.58672742143521,41.460338892548805,39.724339660983915,-34.41529003289915,7.057596750057414 +HIS,excluded_solvent,50.56476709188372,0.0,-88.00858173319708,57.29648278061343,8.364968725388358,-16.350312366132616,3.664942297923531 +ILE,formfactor,61.97933054508859,0.0,-45.55749645626756,-26.94147636420316,68.41091746940783,-34.307325839550984,5.508363044131372 +ILE,excluded_solvent,55.85191850939976,0.0,-81.76824367344963,25.9718149641765,39.09563612134737,-27.79407667749436,5.140594587619425 +LEU,formfactor,61.9874112464829,0.0,-54.07829774966109,-19.672724727921118,75.75933357599484,-42.87909415253206,7.580643479500708 +LEU,excluded_solvent,55.85500702439895,0.0,-90.05823613360623,42.779271367948105,27.425314570778514,-24.599500988549345,4.878915346497919 +LYS,formfactor,69.99129116923348,0.0,-177.94423757968704,272.0256856055207,-188.2920973172914,63.303038257186586,-8.32612812430321 +LYS,excluded_solvent,59.73734011424962,0.0,-152.78437269984616,187.93704583787604,-102.44089786274051,27.188377002036162,-2.8320376302376786 +MET,formfactor,70.00691278772638,0.0,-104.22345654704631,73.82601789465483,10.126507627913185,-23.351946238697035,5.598503080281802 +MET,excluded_solvent,53.406398181964576,0.0,-110.88151801680236,100.05649928313625,-25.69528079121111,-3.5675976163339627,1.822892341875317 +PHE,formfactor,77.99863587497389,0.0,-135.30506501839736,122.61728717372222,-26.829761151876106,-9.267313845762843,3.479368368324131 +PHE,excluded_solvent,68.93257004637968,0.0,-147.5670650614922,137.54078929479533,-39.12160207012098,-2.753466411358474,2.1427403561631735 +PRO,formfactor,52.98008056903471,0.0,-28.025579140605455,-17.945632640349288,36.70484993598286,-16.388585233440434,2.3759607129713807 +PRO,excluded_solvent,44.92171507351757,0.0,-48.596196051735205,-0.8750372245099269,38.16601448085936,-21.187997828228426,3.5216456896403727 +SER,formfactor,45.98433274188738,0.0,-23.004358312306444,-13.52528557404974,25.318714967455264,-9.60754708227119,1.0838180112873488 +SER,excluded_solvent,31.92723070377774,0.0,-28.914290210798498,-4.307301992955933,24.346605792144324,-12.176757238126978,1.8734369740555579 +THR,formfactor,53.98079904257712,0.0,-30.205614210054552,-20.68857584136233,39.80321996161699,-16.614363714862087,2.188488144363049 +THR,excluded_solvent,41.01359917184679,0.0,-45.25975736862446,1.4176217981309085,32.5646045063437,-18.24370055421664,3.0168424658285318 +TRP,formfactor,98.00026950327825,0.0,-239.82185506986724,306.5877727946093,-164.7189974469082,39.67855896479587,-3.263270784166963 +TRP,excluded_solvent,82.45226706960327,0.0,-230.05660099986292,285.0669179531113,-150.2872276282459,36.63321998268637,-3.2505031840496486 +TYR,formfactor,85.99025648157047,0.0,-205.8271529828311,282.4197901545501,-174.14171820412088,52.3398359916699,-6.16839805508144 +TYR,excluded_solvent,71.89594546951952,0.0,-171.88553159706834,188.12775195681272,-82.8899246910726,14.785221706872576,-0.5321832521390917 +VAL,formfactor,53.97802539665846,0.0,-30.730380715977926,-23.1259991191962,43.982242401804015,-18.76619704074442,2.5506887609142446 +VAL,excluded_solvent,46.99003082374464,0.0,-56.3441569003358,3.611267423393473,40.951469982336846,-23.894973751496867,4.06986224970413 diff --git a/assets/poly_atomic.yaml b/assets/poly_amino_acid.yaml similarity index 54% rename from assets/poly_atomic.yaml rename to assets/poly_amino_acid.yaml index c3c4c3d..9f406c6 100644 --- a/assets/poly_atomic.yaml +++ b/assets/poly_amino_acid.yaml @@ -1,6 +1,7 @@ # # Amino acid beads with polynomial form factors converted from poly_at2.csv -# Coefficients preserve all significant digits from the CSV source. +# Excluded-solvent polynomial coefficients are converted from poly_excl.csv. +# Coefficients preserve all significant digits from the CSV sources. # ALA: @@ -20,6 +21,20 @@ ALA: 0.05331786541354333, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 29.045092626980807, + 0.0, + -26.82743171578708, + -1.9310977148566097, + 20.168431250949013, + -10.337343031318388, + 1.6129945355732858, + ], + }, } ARG: { @@ -38,6 +53,20 @@ ARG: -20.783481179736413, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 61.48590421009381, + 0.0, + -182.19421922046388, + 254.9995877714297, + -162.0053689458599, + 51.021483900322494, + -6.424772180212159, + ], + }, } ASN: { @@ -56,6 +85,20 @@ ASN: 6.101333446616579, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 40.032910229163015, + 0.0, + -43.419271616917506, + -2.5096331414436257, + 37.78025696960391, + -21.16604652006109, + 3.5704626997326017, + ], + }, } ASP: { @@ -74,6 +117,20 @@ ASP: 6.198643717045879, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 38.84073261635539, + 0.0, + -39.80757800147463, + -6.1050880975993564, + 38.584033668906045, + -20.838504513678572, + 3.448422193736537, + ], + }, } CYS: { @@ -92,6 +149,20 @@ CYS: 4.609281628955767, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 35.50267070799075, + 0.0, + -39.09278093395425, + 1.6989104594187223, + 28.01870291638898, + -15.980070618028627, + 2.685602905744272, + ], + }, } GLN: { @@ -110,6 +181,20 @@ GLN: 5.296934807386833, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 48.898600541821935, + 0.0, + -77.65395265978444, + 40.54946712843443, + 18.936705440015086, + -19.2453476844495, + 3.940784263263467, + ], + }, } GLU: { @@ -128,6 +213,20 @@ GLU: 5.722041637792017, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 47.70649459960143, + 0.0, + -72.13383592347742, + 32.19791380532419, + 24.30930931866937, + -20.876834470726052, + 4.131360684537825, + ], + }, } GLY: { @@ -146,6 +245,20 @@ GLY: -0.05549468364095844, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 19.95957354188481, + 0.0, + -14.596710882003759, + -2.4650485889412432, + 10.550404760378463, + -4.733006480429002, + 0.658871566636229, + ], + }, } HIS: { @@ -164,6 +277,20 @@ HIS: 7.057596750057414, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 50.56476709188372, + 0.0, + -88.00858173319708, + 57.29648278061343, + 8.364968725388358, + -16.350312366132616, + 3.664942297923531, + ], + }, } ILE: { @@ -182,6 +309,20 @@ ILE: 5.508363044131372, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 55.85191850939976, + 0.0, + -81.76824367344963, + 25.9718149641765, + 39.09563612134737, + -27.79407667749436, + 5.140594587619425, + ], + }, } LEU: { @@ -200,6 +341,20 @@ LEU: 7.580643479500708, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 55.85500702439895, + 0.0, + -90.05823613360623, + 42.779271367948105, + 27.425314570778514, + -24.599500988549345, + 4.878915346497919, + ], + }, } LYS: { @@ -218,6 +373,20 @@ LYS: -8.32612812430321, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 59.73734011424962, + 0.0, + -152.78437269984616, + 187.93704583787604, + -102.44089786274051, + 27.188377002036162, + -2.8320376302376786, + ], + }, } MET: { @@ -236,6 +405,20 @@ MET: 5.598503080281802, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 53.406398181964576, + 0.0, + -110.88151801680236, + 100.05649928313625, + -25.69528079121111, + -3.5675976163339627, + 1.822892341875317, + ], + }, } PHE: { @@ -254,6 +437,20 @@ PHE: 3.479368368324131, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 68.93257004637968, + 0.0, + -147.5670650614922, + 137.54078929479533, + -39.12160207012098, + -2.753466411358474, + 2.1427403561631735, + ], + }, } PRO: { @@ -272,6 +469,20 @@ PRO: 2.3759607129713807, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 44.92171507351757, + 0.0, + -48.596196051735205, + -0.8750372245099269, + 38.16601448085936, + -21.187997828228426, + 3.5216456896403727, + ], + }, } SER: { @@ -290,6 +501,20 @@ SER: 1.0838180112873488, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 31.92723070377774, + 0.0, + -28.914290210798498, + -4.307301992955933, + 24.346605792144324, + -12.176757238126978, + 1.8734369740555579, + ], + }, } THR: { @@ -308,6 +533,20 @@ THR: 2.188488144363049, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 41.01359917184679, + 0.0, + -45.25975736862446, + 1.4176217981309085, + 32.5646045063437, + -18.24370055421664, + 3.0168424658285318, + ], + }, } TRP: { @@ -326,6 +565,20 @@ TRP: -3.263270784166963, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 82.45226706960327, + 0.0, + -230.05660099986292, + 285.0669179531113, + -150.2872276282459, + 36.63321998268637, + -3.2505031840496486, + ], + }, } TYR: { @@ -344,6 +597,20 @@ TYR: -6.16839805508144, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 71.89594546951952, + 0.0, + -171.88553159706834, + 188.12775195681272, + -82.8899246910726, + 14.785221706872576, + -0.5321832521390917, + ], + }, } VAL: { @@ -362,6 +629,20 @@ VAL: 2.5506887609142446, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 46.99003082374464, + 0.0, + -56.3441569003358, + 3.611267423393473, + 40.951469982336846, + -23.894973751496867, + 4.06986224970413, + ], + }, } H: @@ -405,4 +686,3 @@ O: c: 0.027014, }, } - diff --git a/assets/poly_atomic.csv b/assets/poly_atomic.csv deleted file mode 100644 index 7dfe2e3..0000000 --- a/assets/poly_atomic.csv +++ /dev/null @@ -1,21 +0,0 @@ -name,c0,c1,c2,c3,c4,c5,c6 -ALA,37.98651145079954,0.0,-17.88881261159881,-3.1097731825829333,8.846459092736989,-2.3572911188270753,0.05331786541354333 -ARG,83.96908927242093,0.0,-278.81910994314467,490.5059319443547,-383.9755997417938,143.65451627028935,-20.783481179736413 -ASN,59.98205560472268,0.0,-40.54214890095476,-32.39953367060282,73.4159357342896,-37.17064504604371,6.101333446616579 -ASP,59.98252699985404,0.0,-37.42179690845112,-37.97031252961563,77.22160318216388,-38.25436485287656,6.198643717045879 -CYS,53.98471591625841,0.0,-28.55463591537983,-34.95759123047967,63.496177867671385,-29.839780719449596,4.609281628955767 -GLN,68.00029704612041,0.0,-97.52724702286758,63.863879205326334,13.865971310987792,-22.96589467520148,5.296934807386833 -GLU,68.00262098772043,0.0,-95.50455833177392,59.449715597229726,18.625430344038303,-25.334425917186397,5.722041637792017 -GLY,29.99006405529222,0.0,-11.572242769967232,-0.9021293993630419,3.790951509543525,-0.7238332866526376,-0.05549468364095844 -HIS,71.99289906060545,0.0,-93.58672742143521,41.460338892548805,39.724339660983915,-34.41529003289915,7.057596750057414 -ILE,61.97933054508859,0.0,-45.55749645626756,-26.94147636420316,68.41091746940783,-34.307325839550984,5.508363044131372 -LEU,61.9874112464829,0.0,-54.07829774966109,-19.672724727921118,75.75933357599484,-42.87909415253206,7.580643479500708 -LYS,69.99129116923348,0.0,-177.94423757968704,272.0256856055207,-188.2920973172914,63.303038257186586,-8.32612812430321 -MET,70.00691278772638,0.0,-104.22345654704631,73.82601789465483,10.126507627913185,-23.351946238697035,5.598503080281802 -PHE,77.99863587497389,0.0,-135.30506501839736,122.61728717372222,-26.829761151876106,-9.267313845762843,3.479368368324131 -PRO,52.98008056903471,0.0,-28.025579140605455,-17.945632640349288,36.70484993598286,-16.388585233440434,2.3759607129713807 -SER,45.98433274188738,0.0,-23.004358312306444,-13.52528557404974,25.318714967455264,-9.60754708227119,1.0838180112873488 -THR,53.98079904257712,0.0,-30.205614210054552,-20.68857584136233,39.80321996161699,-16.614363714862087,2.188488144363049 -TRP,98.00026950327825,0.0,-239.82185506986724,306.5877727946093,-164.7189974469082,39.67855896479587,-3.263270784166963 -TYR,85.99025648157047,0.0,-205.8271529828311,282.4197901545501,-174.14171820412088,52.3398359916699,-6.16839805508144 -VAL,53.97802539665846,0.0,-30.730380715977926,-23.1259991191962,43.982242401804015,-18.76619704074442,2.5506887609142446 diff --git a/assets/poly_excluded_solvent.csv b/assets/poly_excluded_solvent.csv deleted file mode 100644 index 3057250..0000000 --- a/assets/poly_excluded_solvent.csv +++ /dev/null @@ -1,21 +0,0 @@ -name,c0,c1,c2,c3,c4,c5,c6 -ALA,29.045092626980807,0.0,-26.82743171578708,-1.9310977148566097,20.168431250949013,-10.337343031318388,1.6129945355732858 -ARG,61.48590421009381,0.0,-182.19421922046388,254.9995877714297,-162.0053689458599,51.021483900322494,-6.424772180212159 -ASN,40.032910229163015,0.0,-43.419271616917506,-2.5096331414436257,37.78025696960391,-21.16604652006109,3.5704626997326017 -ASP,38.84073261635539,0.0,-39.80757800147463,-6.1050880975993564,38.584033668906045,-20.838504513678572,3.448422193736537 -CYS,35.50267070799075,0.0,-39.09278093395425,1.6989104594187223,28.01870291638898,-15.980070618028627,2.685602905744272 -GLN,48.898600541821935,0.0,-77.65395265978444,40.54946712843443,18.936705440015086,-19.2453476844495,3.940784263263467 -GLU,47.70649459960143,0.0,-72.13383592347742,32.19791380532419,24.30930931866937,-20.876834470726052,4.131360684537825 -GLY,19.95957354188481,0.0,-14.596710882003759,-2.4650485889412432,10.550404760378463,-4.733006480429002,0.658871566636229 -HIS,50.56476709188372,0.0,-88.00858173319708,57.29648278061343,8.364968725388358,-16.350312366132616,3.664942297923531 -ILE,55.85191850939976,0.0,-81.76824367344963,25.9718149641765,39.09563612134737,-27.79407667749436,5.140594587619425 -LEU,55.85500702439895,0.0,-90.05823613360623,42.779271367948105,27.425314570778514,-24.599500988549345,4.878915346497919 -LYS,59.73734011424962,0.0,-152.78437269984616,187.93704583787604,-102.44089786274051,27.188377002036162,-2.8320376302376786 -MET,53.406398181964576,0.0,-110.88151801680236,100.05649928313625,-25.69528079121111,-3.5675976163339627,1.822892341875317 -PHE,68.93257004637968,0.0,-147.5670650614922,137.54078929479533,-39.12160207012098,-2.753466411358474,2.1427403561631735 -PRO,44.92171507351757,0.0,-48.596196051735205,-0.8750372245099269,38.16601448085936,-21.187997828228426,3.5216456896403727 -SER,31.92723070377774,0.0,-28.914290210798498,-4.307301992955933,24.346605792144324,-12.176757238126978,1.8734369740555579 -THR,41.01359917184679,0.0,-45.25975736862446,1.4176217981309085,32.5646045063437,-18.24370055421664,3.0168424658285318 -TRP,82.45226706960327,0.0,-230.05660099986292,285.0669179531113,-150.2872276282459,36.63321998268637,-3.2505031840496486 -TYR,71.89594546951952,0.0,-171.88553159706834,188.12775195681272,-82.8899246910726,14.785221706872576,-0.5321832521390917 -VAL,46.99003082374464,0.0,-56.3441569003358,3.611267423393473,40.951469982336846,-23.894973751496867,4.06986224970413 diff --git a/assets/poly_excluded_solvent.yaml b/assets/poly_excluded_solvent.yaml deleted file mode 100644 index 4f59cd9..0000000 --- a/assets/poly_excluded_solvent.yaml +++ /dev/null @@ -1,365 +0,0 @@ -# -# Amino acid beads with polynomial form factors converted from poly_excl.csv -# Coefficients preserve all significant digits from the CSV source. -# - -ALA: - { - radius: 3.1, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 29.045092626980807, - 0.0, - -26.82743171578708, - -1.9310977148566097, - 20.168431250949013, - -10.337343031318388, - 1.6129945355732858, - ], - }, - } -ARG: - { - radius: 4.0, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 61.48590421009381, - 0.0, - -182.19421922046388, - 254.9995877714297, - -162.0053689458599, - 51.021483900322494, - -6.424772180212159, - ], - }, - } -ASN: - { - radius: 3.6, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 40.032910229163015, - 0.0, - -43.419271616917506, - -2.5096331414436257, - 37.78025696960391, - -21.16604652006109, - 3.5704626997326017, - ], - }, - } -ASP: - { - radius: 3.6, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 38.84073261635539, - 0.0, - -39.80757800147463, - -6.1050880975993564, - 38.584033668906045, - -20.838504513678572, - 3.448422193736537, - ], - }, - } -CYS: - { - radius: 3.6, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 35.50267070799075, - 0.0, - -39.09278093395425, - 1.6989104594187223, - 28.01870291638898, - -15.980070618028627, - 2.685602905744272, - ], - }, - } -GLN: - { - radius: 3.8, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 48.898600541821935, - 0.0, - -77.65395265978444, - 40.54946712843443, - 18.936705440015086, - -19.2453476844495, - 3.940784263263467, - ], - }, - } -GLU: - { - radius: 3.8, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 47.70649459960143, - 0.0, - -72.13383592347742, - 32.19791380532419, - 24.30930931866937, - -20.876834470726052, - 4.131360684537825, - ], - }, - } -GLY: - { - radius: 2.9, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 19.95957354188481, - 0.0, - -14.596710882003759, - -2.4650485889412432, - 10.550404760378463, - -4.733006480429002, - 0.658871566636229, - ], - }, - } -HIS: - { - radius: 3.9, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 50.56476709188372, - 0.0, - -88.00858173319708, - 57.29648278061343, - 8.364968725388358, - -16.350312366132616, - 3.664942297923531, - ], - }, - } -ILE: - { - radius: 3.6, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 55.85191850939976, - 0.0, - -81.76824367344963, - 25.9718149641765, - 39.09563612134737, - -27.79407667749436, - 5.140594587619425, - ], - }, - } -LEU: - { - radius: 3.6, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 55.85500702439895, - 0.0, - -90.05823613360623, - 42.779271367948105, - 27.425314570778514, - -24.599500988549345, - 4.878915346497919, - ], - }, - } -LYS: - { - radius: 3.7, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 59.73734011424962, - 0.0, - -152.78437269984616, - 187.93704583787604, - -102.44089786274051, - 27.188377002036162, - -2.8320376302376786, - ], - }, - } -MET: - { - radius: 3.8, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 53.406398181964576, - 0.0, - -110.88151801680236, - 100.05649928313625, - -25.69528079121111, - -3.5675976163339627, - 1.822892341875317, - ], - }, - } -PHE: - { - radius: 3.9, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 68.93257004637968, - 0.0, - -147.5670650614922, - 137.54078929479533, - -39.12160207012098, - -2.753466411358474, - 2.1427403561631735, - ], - }, - } -PRO: - { - radius: 3.4, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 44.92171507351757, - 0.0, - -48.596196051735205, - -0.8750372245099269, - 38.16601448085936, - -21.187997828228426, - 3.5216456896403727, - ], - }, - } -SER: - { - radius: 3.3, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 31.92723070377774, - 0.0, - -28.914290210798498, - -4.307301992955933, - 24.346605792144324, - -12.176757238126978, - 1.8734369740555579, - ], - }, - } -THR: - { - radius: 3.5, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 41.01359917184679, - 0.0, - -45.25975736862446, - 1.4176217981309085, - 32.5646045063437, - -18.24370055421664, - 3.0168424658285318, - ], - }, - } -TRP: - { - radius: 4.3, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 82.45226706960327, - 0.0, - -230.05660099986292, - 285.0669179531113, - -150.2872276282459, - 36.63321998268637, - -3.2505031840496486, - ], - }, - } -TYR: - { - radius: 4.1, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 71.89594546951952, - 0.0, - -171.88553159706834, - 188.12775195681272, - -82.8899246910726, - 14.785221706872576, - -0.5321832521390917, - ], - }, - } -VAL: - { - radius: 3.4, - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 46.99003082374464, - 0.0, - -56.3441569003358, - 3.611267423393473, - 40.951469982336846, - -23.894973751496867, - 4.06986224970413, - ], - }, - } diff --git a/assets/poly_martini.csv b/assets/poly_martini.csv new file mode 100644 index 0000000..58930c3 --- /dev/null +++ b/assets/poly_martini.csv @@ -0,0 +1,105 @@ +name,term,c0,c1,c2,c3,c4,c5,c6 +ALA_BB,formfactor,28.990073241622685,0.0,-11.177229580969742,-1.041230707343862,3.896739025786083,-0.7834153923743044,-0.04620768581327894 +ALA_BB,excluded_solvent,18.346290353801106,0.0,-12.653110158775076,-2.3088373281225656,8.954234154392193,-3.9111930639397396,0.5316795732834638 +ALA_SC1,formfactor,8.997053946180342,0.0,-1.2886607141923,-0.03638825162057108,0.18489963241121238,-0.03832455871722429,0.001697258570267035 +ALA_SC1,excluded_solvent,10.698141363893551,0.0,-8.407424733759692,-1.1509346674012797,6.134912807768994,-2.909737215446782,0.43007830791329216 +ARG_BB,formfactor,28.990057932554322,0.0,-11.177220266838871,-1.041226092258199,3.8967303202452412,-0.7834128682023218,-0.046207777496121594 +ARG_BB,excluded_solvent,18.34628066475686,0.0,-12.653100979130562,-2.308834999482381,8.954225197025604,-3.911188786826493,0.5316789496911447 +ARG_SC1,formfactor,23.99124831405302,0.0,-7.981156485181654,-0.6776012702015644,2.6794596374711035,-0.7861307512851896,0.05925499871152162 +ARG_SC1,excluded_solvent,26.57370827925664,0.0,-24.074648161894537,-1.8773548444314012,17.891690738378305,-9.111032297062524,1.4204614112107805 +ARG_SC2,formfactor,30.9866102992927,0.0,-10.682450094635128,0.008438202667122363,2.0427827396789526,-0.25410137316149406,-0.04668533259884278 +ARG_SC2,excluded_solvent,16.558349927927022,0.0,-10.110308343722142,-1.7419473864471124,6.326611843898691,-2.6167402172478047,0.33970388272167007 +ASN_BB,formfactor,28.990071951214787,0.0,-11.17722797636191,-1.0412240948996303,3.896728998077234,-0.783411173548231,-0.04620822231688848 +ASN_BB,excluded_solvent,18.346289536445926,0.0,-12.653108960488971,-2.308836298059126,8.954231655952231,-3.911191831367355,0.5316793871716143 +ASN_SC1,formfactor,30.990344046065342,0.0,-10.962660759486624,0.10456553650170775,2.056126075783673,-0.21514010046023557,-0.06223668221858425 +ASN_SC1,excluded_solvent,21.68444839921201,0.0,-16.25762072804848,-2.614823820662462,12.115529477515912,-5.657247538701338,0.8250347552739576 +ASP_BB,formfactor,28.99007178084968,0.0,-11.177228704437532,-1.041228796546678,3.896736040491519,-0.7834141687596734,-0.046207835907916106 +ASP_BB,excluded_solvent,18.34628942914991,0.0,-12.653109341464257,-2.3088369493415066,8.954233108896743,-3.9111925672904126,0.5316795005175585 +ASP_SC1,formfactor,30.992098589110185,0.0,-10.388624352718955,0.01619143873102047,2.028404171579579,-0.2863892747842236,-0.036240526229072145 +ASP_SC1,excluded_solvent,20.49302150929785,0.0,-14.874769103785917,-2.5095400224753144,10.978432485451618,-5.058717212548089,0.7297381012833224 +CYS_BB,formfactor,28.990073156918307,0.0,-11.177229548311658,-1.0412307043014477,3.8967390144002354,-0.783415390085171,-0.04620768567828826 +CYS_BB,excluded_solvent,18.346290300196173,0.0,-12.653110121804845,-2.308837321376112,8.954234128228956,-3.911193052511694,0.5316795717299563 +CYS_SC1,formfactor,24.996653755827243,0.0,-5.783163651245389,-0.34532911042693604,1.5583861303737778,-0.395775769141109,0.02112728069995473 +CYS_SC1,excluded_solvent,17.154500313414054,0.0,-14.003800941571946,-1.7231767719258033,10.372116536728607,-5.035375744936971,0.7583983948929642 +GLN_BB,formfactor,28.990059920988905,0.0,-11.177227543485378,-1.0412324358250165,3.8967410941018636,-0.7834159587371587,-0.04620770091923099 +GLN_BB,excluded_solvent,18.34628192440999,0.0,-12.653106662862495,-2.308837114186918,8.954233674535606,-3.91119317891294,0.5316796258306677 +GLN_SC1,formfactor,38.98694243630933,0.0,-18.127497785188805,-2.4049403928179895,8.490639757416263,-2.581285024694723,0.1625753176249738 +GLN_SC1,excluded_solvent,30.542658218167965,0.0,-27.990663673108866,-3.1662125223653206,22.645763560099766,-11.566698336993642,1.8120175504358151 +GLU_BB,formfactor,28.99006767230987,0.0,-11.177227433700672,-1.041230507311932,3.8967382771794905,-0.7834152418715368,-0.046207676936278474 +GLU_BB,excluded_solvent,18.346286829276362,0.0,-12.653107727973113,-2.308836884569213,8.954232434184801,-3.9111923125563077,0.5316794711419384 +GLU_SC1,formfactor,38.98880243324203,0.0,-17.211766121026013,-2.0435917639388985,7.475844591717269,-2.185879453549897,0.12285238366868079 +GLU_SC1,excluded_solvent,29.351084673668904,0.0,-25.79707241472126,-3.6799969167270383,21.17978423802722,-10.576914242696471,1.6299464215900414 +GLY_BB,formfactor,29.99006405529222,0.0,-11.572242769967232,-0.9021293993630419,3.790951509543525,-0.7238332866526376,-0.05549468364095844 +GLY_BB,excluded_solvent,19.95957354188481,0.0,-14.596710882003759,-2.4650485889412432,10.550404760378463,-4.733006480429002,0.658871566636229 +HIS_SC3,formfactor,13.99350605270798,0.0,-2.4791719733678708,-0.088318161771684,0.4269151225115573,-0.09443649275767085,0.004759206618358824 +HIS_SC3,excluded_solvent,8.07611596649739,0.0,-4.663773008486101,-0.7207850675710777,2.7502459607915686,-1.1351336933407574,0.1483622478653266 +HIS_BB,formfactor,28.990071589429462,0.0,-11.177231205753834,-1.0412319554395302,3.8967413104399258,-0.7834160491918043,-0.046207671026675 +HIS_BB,excluded_solvent,18.34628930847678,0.0,-12.653110397161976,-2.308837559646331,8.954234936431009,-3.911193442324273,0.5316796236772365 +HIS_SC1,formfactor,13.994291016418991,0.0,-3.028487951456838,-0.14227089967092343,0.6410484878050596,-0.15945052729447862,0.010495122016798586 +HIS_SC1,excluded_solvent,14.345367545374359,0.0,-10.041758098778141,-1.6294086394433904,7.065969229080364,-3.2034582288702476,0.4563733476981673 +HIS_SC2,formfactor,14.993457078294256,0.0,-2.865434268994027,-0.11480846937118006,0.5341642897063875,-0.12399235365092554,0.007014314495974894 +HIS_SC2,excluded_solvent,9.784850817395563,0.0,-5.649503434447479,-0.9237238134524006,3.406726588208722,-1.4056551088084979,0.1828145400960235 +ILE_BB,formfactor,28.99007135732779,0.0,-11.177228541147086,-1.0412287813352208,3.8967359835633744,-0.7834141573146578,-0.046207835232843664 +ILE_BB,excluded_solvent,18.34628916112521,0.0,-12.653109156612373,-2.3088369156112667,8.954232978082535,-3.911192510151001,0.5316794927501434 +ILE_SC1,formfactor,23.991246888242692,0.0,-8.225449867713222,-0.7454892069904946,2.8834288813907736,-0.846801645749526,0.06153450500989255 +ILE_SC1,excluded_solvent,26.801065984189147,0.0,-25.489008806703318,-0.7562476346623122,18.155457341922748,-9.555940609932325,1.5218581455445737 +LEU_BB,formfactor,28.990071522740585,0.0,-11.177236179202689,-1.041245433913739,3.896762079994296,-0.7834241575543661,-0.04620678255020216 +LEU_BB,excluded_solvent,18.34628926805233,0.0,-12.653113776515932,-2.3088399934396,8.954242155804467,-3.911197162846981,0.5316801982204105 +LEU_SC1,formfactor,32.98844971570923,0.0,-13.923472278448905,-0.03447599424689374,3.3639806908770353,-0.593846969672617,-0.049837158070337395 +LEU_SC1,excluded_solvent,37.49989463100606,0.0,-39.736514656727834,0.16837451715235385,28.743714216600843,-15.723931146131749,2.5670020512544163 +LYS_BB,formfactor,28.990064856090633,0.0,-11.177226180789885,-1.0412294150527739,3.896736411197757,-0.7834145342263454,-0.04620775373971853 +LYS_BB,excluded_solvent,18.346285046930284,0.0,-12.653106402936539,-2.3088365203101664,8.95423124737095,-3.9111917728361543,0.5316793949722012 +LYS_SC1,formfactor,23.99125173727491,0.0,-8.085118235774718,-0.6960112412198431,2.748745481505178,-0.8075193590526748,0.060438881633197106 +LYS_SC1,excluded_solvent,26.573732811960003,0.0,-24.217640132419316,-1.824759487515795,18.00351593231975,-9.194116103596835,1.4363060924989632 +LYS_SC2,formfactor,16.993828436600946,0.0,-3.623856075986248,-0.15581609103740413,0.7231346094047832,-0.16902693226863486,0.009126368202924784 +LYS_SC2,excluded_solvent,14.80629642090209,0.0,-10.493282862526785,-1.6719960107865846,7.409412495806956,-3.3768304690757067,0.48329485259754 +MET_BB,formfactor,28.990070787223793,0.0,-11.17722457545943,-1.0412227134185676,3.896726284322978,-0.7834107683683724,-0.04620811299139227 +MET_BB,excluded_solvent,18.346288799376623,0.0,-12.653106218267808,-2.3088354808811653,8.954227939254272,-3.9111899020041183,0.5316790904311635 +MET_SC1,formfactor,40.99045542391977,0.0,-17.999677331185843,-3.62237442351662,10.750012643301915,-3.884609891984784,0.40223383141187163 +MET_SC1,excluded_solvent,35.04924490936331,0.0,-42.00553808495836,6.096999346214276,25.642206371771184,-15.49081248877185,2.665658721047503 +PHE_SC3,formfactor,20.991413476661062,0.0,-6.310039934015491,-0.5036301376312267,1.9898452224648686,-0.5758931656080439,0.04360063780895995 +PHE_SC3,excluded_solvent,21.73364479217217,0.0,-16.94647449455829,-2.28257491690158,12.441838443436971,-5.9507559786796405,0.8866709557476131 +PHE_BB,formfactor,28.99007095480582,0.0,-11.177228532172025,-1.0412296340987945,3.896737230964208,-0.783414699035248,-0.04620776346057198 +PHE_BB,excluded_solvent,18.346288906485896,0.0,-12.653109064803418,-2.3088370060260317,8.954233131095783,-3.9111925956437075,0.5316795068229734 +PHE_SC1,formfactor,27.98861070081939,0.0,-11.024598624522861,-0.27535347790826936,2.9327792715563668,-0.6024146764750729,-0.01709697127048848 +PHE_SC1,excluded_solvent,28.834897681537683,0.0,-25.808384353577637,-2.635508353067409,20.050883355057785,-10.18065310922445,1.5878949011125876 +PHE_SC2,formfactor,20.99141345519808,0.0,-6.308665901332524,-0.503732899354342,1.989660085969047,-0.5759215099931168,0.04361846661487068 +PHE_SC2,excluded_solvent,21.733644723812915,0.0,-16.945096940013215,-2.2823419785349373,12.440105586833523,-5.949796356915652,0.8865132653196355 +PRO_BB,formfactor,28.990073238381733,0.0,-11.177236527353195,-1.0412436371873788,3.896759521640901,-0.7834230197671186,-0.04620693770962525 +PRO_BB,excluded_solvent,18.346290353586337,0.0,-12.653114345594446,-2.3088398676344695,8.954242091413844,-3.911197094742124,0.5316801837098986 +PRO_SC1,formfactor,23.99127699813998,0.0,-7.7412922150584285,-0.556952525174041,2.3644278373838294,-0.6673290570179495,0.048060368570691736 +PRO_SC1,excluded_solvent,26.573656927156286,0.0,-23.677037473028616,-2.1325140660585262,17.686384434049796,-8.910832287545594,1.378672508127277 +SER_BB,formfactor,28.990073053100954,0.0,-11.177224925859061,-1.0412237536619724,3.896728025754974,-0.7834117888743286,-0.046207915688825096 +SER_BB,excluded_solvent,18.34629023326118,0.0,-12.653106028428423,-2.3088354399422517,8.95422689126535,-3.911189196441787,0.531678961809968 +SER_SC1,formfactor,16.99675314898469,0.0,-3.2386029845551483,-0.12212987711554113,0.5927188119872677,-0.1316798478104515,0.006280575820163836 +SER_SC1,excluded_solvent,13.580483266334372,0.0,-9.168622912772925,-1.5206505664923768,6.321334081308194,-2.8223216362214902,0.3966119926566618 +THR_BB,formfactor,28.99007282070773,0.0,-11.177224879040196,-1.041219937026701,3.8967222812941236,-0.7834090076487845,-0.046208349946306626 +THR_BB,excluded_solvent,18.346290085947288,0.0,-12.653106830212618,-2.3088352404237953,8.954227656079242,-3.9111897170131558,0.5316790572302263 +THR_SC1,formfactor,24.993831374583145,0.0,-7.835193339837295,-0.4093332073033993,2.1147856581703883,-0.4849511108243738,0.009216271054703462 +THR_SC1,excluded_solvent,22.66562094068838,0.0,-18.974719078086498,-2.3551845350295606,14.462560939387238,-7.108744029085711,1.0811106920410634 +TRP_SC5,formfactor,13.994289997266714,0.0,-2.920361904715733,-0.13984177360731437,0.6121221936656414,-0.15441282167146175,0.010560175771725966 +TRP_SC5,excluded_solvent,14.4889688702991,0.0,-9.827117733431884,-1.5846950072382793,6.696690008283079,-2.9872845726008324,0.41964490000300003 +TRP_SC4,formfactor,13.994290039664126,0.0,-2.9121439100756694,-0.13908500999359524,0.6088807416060498,-0.15350276562531984,0.010491769770565096 +TRP_SC4,excluded_solvent,14.488968286538991,0.0,-9.818245815522646,-1.5839448421771576,6.686217814724176,-2.9812678010997122,0.41863127588096827 +TRP_SC3,formfactor,11.99438768290402,0.0,-2.2564378895654524,-0.09575166765510801,0.43716684104211023,-0.1065465025931136,0.007022959172974241 +TRP_SC3,excluded_solvent,10.975226124595096,0.0,-6.309395017780425,-1.0189848940106445,3.7646380921174742,-1.5562753183975335,0.20361594700486663 +TRP_BB,formfactor,28.990070022478847,0.0,-11.17722865314245,-1.0412324500540964,3.8967413820244188,-0.7834164895214517,-0.04620752825913499 +TRP_BB,excluded_solvent,18.346288316779418,0.0,-12.653108933472941,-2.3088373341834845,8.954233754389808,-3.9111929291983016,0.5316795602194038 +TRP_SC1,formfactor,13.994290251649723,0.0,-3.031145144348138,-0.1424782880376808,0.6420793913065795,-0.15971775156666967,0.010510015508252035 +TRP_SC1,excluded_solvent,14.345366927201121,0.0,-10.044446791832698,-1.6297646441053466,7.069297058741476,-3.2053355223433897,0.45668560140377945 +TRP_SC2,formfactor,14.993456183702463,0.0,-2.871545130225999,-0.11582418694624358,0.5374725790496301,-0.12507404799613298,0.007111358892696096 +TRP_SC2,excluded_solvent,9.784850287260367,0.0,-5.649282531075631,-0.9236587173035381,3.406482574700327,-1.4055427257583402,0.18279886806309342 +TYR_SC4,formfactor,14.996850197926435,0.0,-2.5184867026201183,-0.08674624702652811,0.42677150931099983,-0.09403715360859533,0.0047982871248779535 +TYR_SC4,excluded_solvent,10.210361502112532,0.0,-5.618233459648116,-0.887165101997055,3.2094249143101794,-1.29820879142101,0.16617073008406535 +TYR_SC3,formfactor,13.9942916429972,0.0,-2.8987347015888822,-0.13784790493295174,0.6036052326322062,-0.15201874659483994,0.010379326295537616 +TYR_SC3,excluded_solvent,14.488968925984489,0.0,-9.803775529440372,-1.5827049240996354,6.669138255528683,-2.971462691451091,0.4169802894266663 +TYR_BB,formfactor,28.990073195113798,0.0,-11.177241034249372,-1.0412462505570976,3.896764529360407,-0.7834244215581956,-0.04620691333012594 +TYR_BB,excluded_solvent,18.346290326727836,0.0,-12.65311624572839,-2.308840590411406,8.954244662772602,-3.9111982914906935,0.5316803443075067 +TYR_SC1,formfactor,13.994291714469819,0.0,-3.054636680504369,-0.14429454261227592,0.6512049985793497,-0.1620717608340796,0.010637546112698182 +TYR_SC1,excluded_solvent,14.345369897051523,0.0,-10.068227791232788,-1.6328804046854375,7.098732834469812,-3.2219567274977896,0.4594519114012652 +TYR_SC2,formfactor,13.99429164140796,0.0,-2.8990371084562585,-0.13787583272928067,0.6037240160873247,-0.15205219922141855,0.01038187289610315 +TYR_SC2,excluded_solvent,14.488968947304825,0.0,-9.804101810582646,-1.582733109671285,6.669523341688837,-2.9716836518706593,0.4170174828859192 +VAL_BB,formfactor,28.990073257016654,0.0,-11.177244783082557,-1.0412521764512814,3.8967739745133203,-0.7834277179007483,-0.046206644911707784 +VAL_BB,excluded_solvent,18.346290366849075,0.0,-12.653118950278962,-2.308841967187501,8.954249505039021,-3.911200811117064,0.5316807342435173 +VAL_SC1,formfactor,24.991194728711864,0.0,-8.636522596044513,-0.7939039423845906,3.049422594656841,-0.8937444909933858,0.06396455882684471 +VAL_SC1,excluded_solvent,28.641691185690483,0.0,-28.745627186697078,0.38955789952016406,19.6553653540045,-10.648342430540302,1.7240229533400253 diff --git a/assets/poly_martini_atomic.yaml b/assets/poly_martini.yaml similarity index 52% rename from assets/poly_martini_atomic.yaml rename to assets/poly_martini.yaml index 7c24776..2bb36c0 100644 --- a/assets/poly_martini_atomic.yaml +++ b/assets/poly_martini.yaml @@ -1,6 +1,7 @@ # # Martini amino acid bead form factors converted from poly_martini_atomic.csv -# Coefficients preserve all significant digits from the CSV source. +# Excluded-solvent polynomial coefficients are converted from poly_martini_excl.csv. +# Coefficients preserve all significant digits from the CSV sources. # ALA_BB: @@ -20,6 +21,20 @@ ALA_BB: -0.04620768581327894, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.346290353801106, + 0.0, + -12.653110158775076, + -2.3088373281225656, + 8.954234154392193, + -3.9111930639397396, + 0.5316795732834638, + ], + }, } ALA_SC1: { @@ -38,6 +53,20 @@ ALA_SC1: 0.001697258570267035, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 10.698141363893551, + 0.0, + -8.407424733759692, + -1.1509346674012797, + 6.134912807768994, + -2.909737215446782, + 0.43007830791329216, + ], + }, } ARG_BB: { @@ -56,6 +85,20 @@ ARG_BB: -0.046207777496121594, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.34628066475686, + 0.0, + -12.653100979130562, + -2.308834999482381, + 8.954225197025604, + -3.911188786826493, + 0.5316789496911447, + ], + }, } ARG_SC1: { @@ -74,6 +117,20 @@ ARG_SC1: 0.05925499871152162, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 26.57370827925664, + 0.0, + -24.074648161894537, + -1.8773548444314012, + 17.891690738378305, + -9.111032297062524, + 1.4204614112107805, + ], + }, } ARG_SC2: { @@ -92,6 +149,20 @@ ARG_SC2: -0.04668533259884278, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 16.558349927927022, + 0.0, + -10.110308343722142, + -1.7419473864471124, + 6.326611843898691, + -2.6167402172478047, + 0.33970388272167007, + ], + }, } ASN_BB: { @@ -110,6 +181,20 @@ ASN_BB: -0.04620822231688848, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.346289536445926, + 0.0, + -12.653108960488971, + -2.308836298059126, + 8.954231655952231, + -3.911191831367355, + 0.5316793871716143, + ], + }, } ASN_SC1: { @@ -128,6 +213,20 @@ ASN_SC1: -0.06223668221858425, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 21.68444839921201, + 0.0, + -16.25762072804848, + -2.614823820662462, + 12.115529477515912, + -5.657247538701338, + 0.8250347552739576, + ], + }, } ASP_BB: { @@ -146,6 +245,20 @@ ASP_BB: -0.046207835907916106, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.34628942914991, + 0.0, + -12.653109341464257, + -2.3088369493415066, + 8.954233108896743, + -3.9111925672904126, + 0.5316795005175585, + ], + }, } ASP_SC1: { @@ -164,6 +277,20 @@ ASP_SC1: -0.036240526229072145, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 20.49302150929785, + 0.0, + -14.874769103785917, + -2.5095400224753144, + 10.978432485451618, + -5.058717212548089, + 0.7297381012833224, + ], + }, } CYS_BB: { @@ -182,6 +309,20 @@ CYS_BB: -0.04620768567828826, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.346290300196173, + 0.0, + -12.653110121804845, + -2.308837321376112, + 8.954234128228956, + -3.911193052511694, + 0.5316795717299563, + ], + }, } CYS_SC1: { @@ -200,6 +341,20 @@ CYS_SC1: 0.02112728069995473, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 17.154500313414054, + 0.0, + -14.003800941571946, + -1.7231767719258033, + 10.372116536728607, + -5.035375744936971, + 0.7583983948929642, + ], + }, } GLN_BB: { @@ -218,6 +373,20 @@ GLN_BB: -0.04620770091923099, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.34628192440999, + 0.0, + -12.653106662862495, + -2.308837114186918, + 8.954233674535606, + -3.91119317891294, + 0.5316796258306677, + ], + }, } GLN_SC1: { @@ -236,6 +405,20 @@ GLN_SC1: 0.1625753176249738, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 30.542658218167965, + 0.0, + -27.990663673108866, + -3.1662125223653206, + 22.645763560099766, + -11.566698336993642, + 1.8120175504358151, + ], + }, } GLU_BB: { @@ -254,6 +437,20 @@ GLU_BB: -0.046207676936278474, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.346286829276362, + 0.0, + -12.653107727973113, + -2.308836884569213, + 8.954232434184801, + -3.9111923125563077, + 0.5316794711419384, + ], + }, } GLU_SC1: { @@ -272,6 +469,20 @@ GLU_SC1: 0.12285238366868079, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 29.351084673668904, + 0.0, + -25.79707241472126, + -3.6799969167270383, + 21.17978423802722, + -10.576914242696471, + 1.6299464215900414, + ], + }, } GLY_BB: { @@ -290,6 +501,20 @@ GLY_BB: -0.05549468364095844, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 19.95957354188481, + 0.0, + -14.596710882003759, + -2.4650485889412432, + 10.550404760378463, + -4.733006480429002, + 0.658871566636229, + ], + }, } HIS_SC3: { @@ -308,6 +533,20 @@ HIS_SC3: 0.004759206618358824, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 8.07611596649739, + 0.0, + -4.663773008486101, + -0.7207850675710777, + 2.7502459607915686, + -1.1351336933407574, + 0.1483622478653266, + ], + }, } HIS_BB: { @@ -326,6 +565,20 @@ HIS_BB: -0.046207671026675, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.34628930847678, + 0.0, + -12.653110397161976, + -2.308837559646331, + 8.954234936431009, + -3.911193442324273, + 0.5316796236772365, + ], + }, } HIS_SC1: { @@ -344,6 +597,20 @@ HIS_SC1: 0.010495122016798586, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 14.345367545374359, + 0.0, + -10.041758098778141, + -1.6294086394433904, + 7.065969229080364, + -3.2034582288702476, + 0.4563733476981673, + ], + }, } HIS_SC2: { @@ -362,6 +629,20 @@ HIS_SC2: 0.007014314495974894, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 9.784850817395563, + 0.0, + -5.649503434447479, + -0.9237238134524006, + 3.406726588208722, + -1.4056551088084979, + 0.1828145400960235, + ], + }, } ILE_BB: { @@ -380,6 +661,20 @@ ILE_BB: -0.046207835232843664, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.34628916112521, + 0.0, + -12.653109156612373, + -2.3088369156112667, + 8.954232978082535, + -3.911192510151001, + 0.5316794927501434, + ], + }, } ILE_SC1: { @@ -398,6 +693,20 @@ ILE_SC1: 0.06153450500989255, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 26.801065984189147, + 0.0, + -25.489008806703318, + -0.7562476346623122, + 18.155457341922748, + -9.555940609932325, + 1.5218581455445737, + ], + }, } LEU_BB: { @@ -416,6 +725,20 @@ LEU_BB: -0.04620678255020216, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.34628926805233, + 0.0, + -12.653113776515932, + -2.3088399934396, + 8.954242155804467, + -3.911197162846981, + 0.5316801982204105, + ], + }, } LEU_SC1: { @@ -434,6 +757,20 @@ LEU_SC1: -0.049837158070337395, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 37.49989463100606, + 0.0, + -39.736514656727834, + 0.16837451715235385, + 28.743714216600843, + -15.723931146131749, + 2.5670020512544163, + ], + }, } LYS_BB: { @@ -452,6 +789,20 @@ LYS_BB: -0.04620775373971853, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.346285046930284, + 0.0, + -12.653106402936539, + -2.3088365203101664, + 8.95423124737095, + -3.9111917728361543, + 0.5316793949722012, + ], + }, } LYS_SC1: { @@ -470,6 +821,20 @@ LYS_SC1: 0.060438881633197106, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 26.573732811960003, + 0.0, + -24.217640132419316, + -1.824759487515795, + 18.00351593231975, + -9.194116103596835, + 1.4363060924989632, + ], + }, } LYS_SC2: { @@ -488,6 +853,20 @@ LYS_SC2: 0.009126368202924784, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 14.80629642090209, + 0.0, + -10.493282862526785, + -1.6719960107865846, + 7.409412495806956, + -3.3768304690757067, + 0.48329485259754, + ], + }, } MET_BB: { @@ -506,6 +885,20 @@ MET_BB: -0.04620811299139227, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.346288799376623, + 0.0, + -12.653106218267808, + -2.3088354808811653, + 8.954227939254272, + -3.9111899020041183, + 0.5316790904311635, + ], + }, } MET_SC1: { @@ -524,6 +917,20 @@ MET_SC1: 0.40223383141187163, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 35.04924490936331, + 0.0, + -42.00553808495836, + 6.096999346214276, + 25.642206371771184, + -15.49081248877185, + 2.665658721047503, + ], + }, } PHE_SC3: { @@ -542,6 +949,20 @@ PHE_SC3: 0.04360063780895995, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 21.73364479217217, + 0.0, + -16.94647449455829, + -2.28257491690158, + 12.441838443436971, + -5.9507559786796405, + 0.8866709557476131, + ], + }, } PHE_BB: { @@ -560,6 +981,20 @@ PHE_BB: -0.04620776346057198, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.346288906485896, + 0.0, + -12.653109064803418, + -2.3088370060260317, + 8.954233131095783, + -3.9111925956437075, + 0.5316795068229734, + ], + }, } PHE_SC1: { @@ -578,6 +1013,20 @@ PHE_SC1: -0.01709697127048848, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 28.834897681537683, + 0.0, + -25.808384353577637, + -2.635508353067409, + 20.050883355057785, + -10.18065310922445, + 1.5878949011125876, + ], + }, } PHE_SC2: { @@ -596,6 +1045,20 @@ PHE_SC2: 0.04361846661487068, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 21.733644723812915, + 0.0, + -16.945096940013215, + -2.2823419785349373, + 12.440105586833523, + -5.949796356915652, + 0.8865132653196355, + ], + }, } PRO_BB: { @@ -614,6 +1077,20 @@ PRO_BB: -0.04620693770962525, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.346290353586337, + 0.0, + -12.653114345594446, + -2.3088398676344695, + 8.954242091413844, + -3.911197094742124, + 0.5316801837098986, + ], + }, } PRO_SC1: { @@ -632,6 +1109,20 @@ PRO_SC1: 0.048060368570691736, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 26.573656927156286, + 0.0, + -23.677037473028616, + -2.1325140660585262, + 17.686384434049796, + -8.910832287545594, + 1.378672508127277, + ], + }, } SER_BB: { @@ -650,6 +1141,20 @@ SER_BB: -0.046207915688825096, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.34629023326118, + 0.0, + -12.653106028428423, + -2.3088354399422517, + 8.95422689126535, + -3.911189196441787, + 0.531678961809968, + ], + }, } SER_SC1: { @@ -668,6 +1173,20 @@ SER_SC1: 0.006280575820163836, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 13.580483266334372, + 0.0, + -9.168622912772925, + -1.5206505664923768, + 6.321334081308194, + -2.8223216362214902, + 0.3966119926566618, + ], + }, } THR_BB: { @@ -686,6 +1205,20 @@ THR_BB: -0.046208349946306626, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 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0.41863127588096827, + ], + }, } TRP_SC3: { @@ -758,6 +1333,20 @@ TRP_SC3: 0.007022959172974241, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 10.975226124595096, + 0.0, + -6.309395017780425, + -1.0189848940106445, + 3.7646380921174742, + -1.5562753183975335, + 0.20361594700486663, + ], + }, } TRP_BB: { @@ -776,6 +1365,20 @@ TRP_BB: -0.04620752825913499, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.346288316779418, + 0.0, + -12.653108933472941, + -2.3088373341834845, + 8.954233754389808, + -3.9111929291983016, + 0.5316795602194038, + ], + }, } TRP_SC1: { @@ -794,6 +1397,20 @@ TRP_SC1: 0.010510015508252035, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 14.345366927201121, + 0.0, + -10.044446791832698, + -1.6297646441053466, + 7.069297058741476, + -3.2053355223433897, + 0.45668560140377945, + ], + }, } TRP_SC2: { @@ -812,6 +1429,20 @@ TRP_SC2: 0.007111358892696096, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 9.784850287260367, + 0.0, + -5.649282531075631, + -0.9236587173035381, + 3.406482574700327, + -1.4055427257583402, + 0.18279886806309342, + ], + }, } TYR_SC4: { @@ -830,6 +1461,20 @@ TYR_SC4: 0.0047982871248779535, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 10.210361502112532, + 0.0, + -5.618233459648116, + -0.887165101997055, + 3.2094249143101794, + -1.29820879142101, + 0.16617073008406535, + ], + }, } TYR_SC3: { @@ -848,6 +1493,20 @@ TYR_SC3: 0.010379326295537616, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 14.488968925984489, + 0.0, + -9.803775529440372, + -1.5827049240996354, + 6.669138255528683, + -2.971462691451091, + 0.4169802894266663, + ], + }, } TYR_BB: { @@ -866,6 +1525,20 @@ TYR_BB: -0.04620691333012594, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.346290326727836, + 0.0, + -12.65311624572839, + -2.308840590411406, + 8.954244662772602, + -3.9111982914906935, + 0.5316803443075067, + ], + }, } TYR_SC1: { @@ -884,6 +1557,20 @@ TYR_SC1: 0.010637546112698182, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 14.345369897051523, + 0.0, + -10.068227791232788, + -1.6328804046854375, + 7.098732834469812, + -3.2219567274977896, + 0.4594519114012652, + ], + }, } TYR_SC2: { @@ -902,6 +1589,20 @@ TYR_SC2: 0.01038187289610315, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 14.488968947304825, + 0.0, + -9.804101810582646, + -1.582733109671285, + 6.669523341688837, + -2.9716836518706593, + 0.4170174828859192, + ], + }, } VAL_BB: { @@ -920,6 +1621,20 @@ VAL_BB: -0.046206644911707784, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 18.346290366849075, + 0.0, + -12.653118950278962, + -2.308841967187501, + 8.954249505039021, + -3.911200811117064, + 0.5316807342435173, + ], + }, } VAL_SC1: { @@ -938,6 +1653,20 @@ VAL_SC1: 0.06396455882684471, ], }, + excluded_solvent: + !Polynomial { + qrange: [0.0, 0.75], + coeff: + [ + 28.641691185690483, + 0.0, + -28.745627186697078, + 0.38955789952016406, + 19.6553653540045, + -10.648342430540302, + 1.7240229533400253, + ], + }, } H2O: diff --git a/assets/poly_martini_atomic.csv b/assets/poly_martini_atomic.csv deleted file mode 100644 index 6b7d0fb..0000000 --- a/assets/poly_martini_atomic.csv +++ /dev/null @@ -1,53 +0,0 @@ -name,c0,c1,c2,c3,c4,c5,c6 -ALA_BB,28.990073241622685,0.0,-11.177229580969742,-1.041230707343862,3.896739025786083,-0.7834153923743044,-0.04620768581327894 -ALA_SC1,8.997053946180342,0.0,-1.2886607141923,-0.03638825162057108,0.18489963241121238,-0.03832455871722429,0.001697258570267035 -ARG_BB,28.990057932554322,0.0,-11.177220266838871,-1.041226092258199,3.8967303202452412,-0.7834128682023218,-0.046207777496121594 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-LYS_BB,28.990064856090633,0.0,-11.177226180789885,-1.0412294150527739,3.896736411197757,-0.7834145342263454,-0.04620775373971853 -LYS_SC1,23.99125173727491,0.0,-8.085118235774718,-0.6960112412198431,2.748745481505178,-0.8075193590526748,0.060438881633197106 -LYS_SC2,16.993828436600946,0.0,-3.623856075986248,-0.15581609103740413,0.7231346094047832,-0.16902693226863486,0.009126368202924784 -MET_BB,28.990070787223793,0.0,-11.17722457545943,-1.0412227134185676,3.896726284322978,-0.7834107683683724,-0.04620811299139227 -MET_SC1,40.99045542391977,0.0,-17.999677331185843,-3.62237442351662,10.750012643301915,-3.884609891984784,0.40223383141187163 -PHE_SC3,20.991413476661062,0.0,-6.310039934015491,-0.5036301376312267,1.9898452224648686,-0.5758931656080439,0.04360063780895995 -PHE_BB,28.99007095480582,0.0,-11.177228532172025,-1.0412296340987945,3.896737230964208,-0.783414699035248,-0.04620776346057198 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-THR_SC1,24.993831374583145,0.0,-7.835193339837295,-0.4093332073033993,2.1147856581703883,-0.4849511108243738,0.009216271054703462 -TRP_SC5,13.994289997266714,0.0,-2.920361904715733,-0.13984177360731437,0.6121221936656414,-0.15441282167146175,0.010560175771725966 -TRP_SC4,13.994290039664126,0.0,-2.9121439100756694,-0.13908500999359524,0.6088807416060498,-0.15350276562531984,0.010491769770565096 -TRP_SC3,11.99438768290402,0.0,-2.2564378895654524,-0.09575166765510801,0.43716684104211023,-0.1065465025931136,0.007022959172974241 -TRP_BB,28.990070022478847,0.0,-11.17722865314245,-1.0412324500540964,3.8967413820244188,-0.7834164895214517,-0.04620752825913499 -TRP_SC1,13.994290251649723,0.0,-3.031145144348138,-0.1424782880376808,0.6420793913065795,-0.15971775156666967,0.010510015508252035 -TRP_SC2,14.993456183702463,0.0,-2.871545130225999,-0.11582418694624358,0.5374725790496301,-0.12507404799613298,0.007111358892696096 -TYR_SC4,14.996850197926435,0.0,-2.5184867026201183,-0.08674624702652811,0.42677150931099983,-0.09403715360859533,0.0047982871248779535 -TYR_SC3,13.9942916429972,0.0,-2.8987347015888822,-0.13784790493295174,0.6036052326322062,-0.15201874659483994,0.010379326295537616 -TYR_BB,28.990073195113798,0.0,-11.177241034249372,-1.0412462505570976,3.896764529360407,-0.7834244215581956,-0.04620691333012594 -TYR_SC1,13.994291714469819,0.0,-3.054636680504369,-0.14429454261227592,0.6512049985793497,-0.1620717608340796,0.010637546112698182 -TYR_SC2,13.99429164140796,0.0,-2.8990371084562585,-0.13787583272928067,0.6037240160873247,-0.15205219922141855,0.01038187289610315 -VAL_BB,28.990073257016654,0.0,-11.177244783082557,-1.0412521764512814,3.8967739745133203,-0.7834277179007483,-0.046206644911707784 -VAL_SC1,24.991194728711864,0.0,-8.636522596044513,-0.7939039423845906,3.049422594656841,-0.8937444909933858,0.06396455882684471 diff --git a/assets/poly_martini_excluded_solvent.csv b/assets/poly_martini_excluded_solvent.csv deleted file mode 100644 index 03a9448..0000000 --- a/assets/poly_martini_excluded_solvent.csv +++ /dev/null @@ -1,53 +0,0 @@ -name,c0,c1,c2,c3,c4,c5,c6 -ALA_SC1,10.698141363893551,0.0,-8.407424733759692,-1.1509346674012797,6.134912807768994,-2.909737215446782,0.43007830791329216 -ALA_BB,18.346290353801106,0.0,-12.653110158775076,-2.3088373281225656,8.954234154392193,-3.9111930639397396,0.5316795732834638 -ARG_SC1,26.57370827925664,0.0,-24.074648161894537,-1.8773548444314012,17.891690738378305,-9.111032297062524,1.4204614112107805 -ARG_BB,18.34628066475686,0.0,-12.653100979130562,-2.308834999482381,8.954225197025604,-3.911188786826493,0.5316789496911447 -ARG_SC2,16.558349927927022,0.0,-10.110308343722142,-1.7419473864471124,6.326611843898691,-2.6167402172478047,0.33970388272167007 -ASN_SC1,21.68444839921201,0.0,-16.25762072804848,-2.614823820662462,12.115529477515912,-5.657247538701338,0.8250347552739576 -ASN_BB,18.346289536445926,0.0,-12.653108960488971,-2.308836298059126,8.954231655952231,-3.911191831367355,0.5316793871716143 -ASP_SC1,20.49302150929785,0.0,-14.874769103785917,-2.5095400224753144,10.978432485451618,-5.058717212548089,0.7297381012833224 -ASP_BB,18.34628942914991,0.0,-12.653109341464257,-2.3088369493415066,8.954233108896743,-3.9111925672904126,0.5316795005175585 -CYS_SC1,17.154500313414054,0.0,-14.003800941571946,-1.7231767719258033,10.372116536728607,-5.035375744936971,0.7583983948929642 -CYS_BB,18.346290300196173,0.0,-12.653110121804845,-2.308837321376112,8.954234128228956,-3.911193052511694,0.5316795717299563 -GLN_SC1,30.542658218167965,0.0,-27.990663673108866,-3.1662125223653206,22.645763560099766,-11.566698336993642,1.8120175504358151 -GLN_BB,18.34628192440999,0.0,-12.653106662862495,-2.308837114186918,8.954233674535606,-3.91119317891294,0.5316796258306677 -GLU_SC1,29.351084673668904,0.0,-25.79707241472126,-3.6799969167270383,21.17978423802722,-10.576914242696471,1.6299464215900414 -GLU_BB,18.346286829276362,0.0,-12.653107727973113,-2.308836884569213,8.954232434184801,-3.9111923125563077,0.5316794711419384 -GLY_BB,19.95957354188481,0.0,-14.596710882003759,-2.4650485889412432,10.550404760378463,-4.733006480429002,0.658871566636229 -HIS_SC1,14.345367545374359,0.0,-10.041758098778141,-1.6294086394433904,7.065969229080364,-3.2034582288702476,0.4563733476981673 -HIS_SC3,8.07611596649739,0.0,-4.663773008486101,-0.7207850675710777,2.7502459607915686,-1.1351336933407574,0.1483622478653266 -HIS_BB,18.34628930847678,0.0,-12.653110397161976,-2.308837559646331,8.954234936431009,-3.911193442324273,0.5316796236772365 -HIS_SC2,9.784850817395563,0.0,-5.649503434447479,-0.9237238134524006,3.406726588208722,-1.4056551088084979,0.1828145400960235 -ILE_SC1,26.801065984189147,0.0,-25.489008806703318,-0.7562476346623122,18.155457341922748,-9.555940609932325,1.5218581455445737 -ILE_BB,18.34628916112521,0.0,-12.653109156612373,-2.3088369156112667,8.954232978082535,-3.911192510151001,0.5316794927501434 -LEU_SC1,37.49989463100606,0.0,-39.736514656727834,0.16837451715235385,28.743714216600843,-15.723931146131749,2.5670020512544163 -LEU_BB,18.34628926805233,0.0,-12.653113776515932,-2.3088399934396,8.954242155804467,-3.911197162846981,0.5316801982204105 -LYS_SC1,26.573732811960003,0.0,-24.217640132419316,-1.824759487515795,18.00351593231975,-9.194116103596835,1.4363060924989632 -LYS_BB,18.346285046930284,0.0,-12.653106402936539,-2.3088365203101664,8.95423124737095,-3.9111917728361543,0.5316793949722012 -LYS_SC2,14.80629642090209,0.0,-10.493282862526785,-1.6719960107865846,7.409412495806956,-3.3768304690757067,0.48329485259754 -MET_SC1,35.04924490936331,0.0,-42.00553808495836,6.096999346214276,25.642206371771184,-15.49081248877185,2.665658721047503 -MET_BB,18.346288799376623,0.0,-12.653106218267808,-2.3088354808811653,8.954227939254272,-3.9111899020041183,0.5316790904311635 -PHE_SC1,28.834897681537683,0.0,-25.808384353577637,-2.635508353067409,20.050883355057785,-10.18065310922445,1.5878949011125876 -PHE_SC3,21.73364479217217,0.0,-16.94647449455829,-2.28257491690158,12.441838443436971,-5.9507559786796405,0.8866709557476131 -PHE_BB,18.346288906485896,0.0,-12.653109064803418,-2.3088370060260317,8.954233131095783,-3.9111925956437075,0.5316795068229734 -PHE_SC2,21.733644723812915,0.0,-16.945096940013215,-2.2823419785349373,12.440105586833523,-5.949796356915652,0.8865132653196355 -PRO_SC1,26.573656927156286,0.0,-23.677037473028616,-2.1325140660585262,17.686384434049796,-8.910832287545594,1.378672508127277 -PRO_BB,18.346290353586337,0.0,-12.653114345594446,-2.3088398676344695,8.954242091413844,-3.911197094742124,0.5316801837098986 -SER_SC1,13.580483266334372,0.0,-9.168622912772925,-1.5206505664923768,6.321334081308194,-2.8223216362214902,0.3966119926566618 -SER_BB,18.34629023326118,0.0,-12.653106028428423,-2.3088354399422517,8.95422689126535,-3.911189196441787,0.531678961809968 -THR_SC1,22.66562094068838,0.0,-18.974719078086498,-2.3551845350295606,14.462560939387238,-7.108744029085711,1.0811106920410634 -THR_BB,18.346290085947288,0.0,-12.653106830212618,-2.3088352404237953,8.954227656079242,-3.9111897170131558,0.5316790572302263 -TRP_SC1,14.345366927201121,0.0,-10.044446791832698,-1.6297646441053466,7.069297058741476,-3.2053355223433897,0.45668560140377945 -TRP_SC2,9.784850287260367,0.0,-5.649282531075631,-0.9236587173035381,3.406482574700327,-1.4055427257583402,0.18279886806309342 -TRP_SC3,10.975226124595096,0.0,-6.309395017780425,-1.0189848940106445,3.7646380921174742,-1.5562753183975335,0.20361594700486663 -TRP_SC4,14.488968286538991,0.0,-9.818245815522646,-1.5839448421771576,6.686217814724176,-2.9812678010997122,0.41863127588096827 -TRP_BB,18.346288316779418,0.0,-12.653108933472941,-2.3088373341834845,8.954233754389808,-3.9111929291983016,0.5316795602194038 -TRP_SC5,14.4889688702991,0.0,-9.827117733431884,-1.5846950072382793,6.696690008283079,-2.9872845726008324,0.41964490000300003 -TYR_SC1,14.345369897051523,0.0,-10.068227791232788,-1.6328804046854375,7.098732834469812,-3.2219567274977896,0.4594519114012652 -TYR_SC2,14.488968947304825,0.0,-9.804101810582646,-1.582733109671285,6.669523341688837,-2.9716836518706593,0.4170174828859192 -TYR_SC3,14.488968925984489,0.0,-9.803775529440372,-1.5827049240996354,6.669138255528683,-2.971462691451091,0.4169802894266663 -TYR_SC4,10.210361502112532,0.0,-5.618233459648116,-0.887165101997055,3.2094249143101794,-1.29820879142101,0.16617073008406535 -TYR_BB,18.346290326727836,0.0,-12.65311624572839,-2.308840590411406,8.954244662772602,-3.9111982914906935,0.5316803443075067 -VAL_SC1,28.641691185690483,0.0,-28.745627186697078,0.38955789952016406,19.6553653540045,-10.648342430540302,1.7240229533400253 -VAL_BB,18.346290366849075,0.0,-12.653118950278962,-2.308841967187501,8.954249505039021,-3.911200811117064,0.5316807342435173 diff --git a/assets/poly_martini_excluded_solvent.yaml b/assets/poly_martini_excluded_solvent.yaml deleted file mode 100644 index ef9b000..0000000 --- a/assets/poly_martini_excluded_solvent.yaml +++ /dev/null @@ -1,889 +0,0 @@ -# -# Martini amino acid bead form factors converted from poly_martini_excl.csv -# Coefficients preserve all significant digits from the CSV source. -# - -ALA_SC1: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 10.698141363893551, - 0.0, - -8.407424733759692, - -1.1509346674012797, - 6.134912807768994, - -2.909737215446782, - 0.43007830791329216, - ], - }, - } -ALA_BB: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 18.346290353801106, - 0.0, - -12.653110158775076, - -2.3088373281225656, - 8.954234154392193, - -3.9111930639397396, - 0.5316795732834638, - ], - }, - } -ARG_SC1: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 26.57370827925664, - 0.0, - -24.074648161894537, - -1.8773548444314012, - 17.891690738378305, - -9.111032297062524, - 1.4204614112107805, - ], - }, - } -ARG_BB: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 18.34628066475686, - 0.0, - -12.653100979130562, - -2.308834999482381, - 8.954225197025604, - -3.911188786826493, - 0.5316789496911447, - ], - }, - } -ARG_SC2: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 16.558349927927022, - 0.0, - -10.110308343722142, - -1.7419473864471124, - 6.326611843898691, - -2.6167402172478047, - 0.33970388272167007, - ], - }, - } -ASN_SC1: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 21.68444839921201, - 0.0, - -16.25762072804848, - -2.614823820662462, - 12.115529477515912, - -5.657247538701338, - 0.8250347552739576, - ], - }, - } -ASN_BB: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 18.346289536445926, - 0.0, - -12.653108960488971, - -2.308836298059126, - 8.954231655952231, - -3.911191831367355, - 0.5316793871716143, - ], - }, - } -ASP_SC1: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 20.49302150929785, - 0.0, - -14.874769103785917, - -2.5095400224753144, - 10.978432485451618, - -5.058717212548089, - 0.7297381012833224, - ], - }, - } -ASP_BB: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 18.34628942914991, - 0.0, - -12.653109341464257, - -2.3088369493415066, - 8.954233108896743, - -3.9111925672904126, - 0.5316795005175585, - ], - }, - } -CYS_SC1: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 17.154500313414054, - 0.0, - -14.003800941571946, - -1.7231767719258033, - 10.372116536728607, - -5.035375744936971, - 0.7583983948929642, - ], - }, - } -CYS_BB: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 18.346290300196173, - 0.0, - -12.653110121804845, - -2.308837321376112, - 8.954234128228956, - -3.911193052511694, - 0.5316795717299563, - ], - }, - } -GLN_SC1: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 30.542658218167965, - 0.0, - -27.990663673108866, - -3.1662125223653206, - 22.645763560099766, - -11.566698336993642, - 1.8120175504358151, - ], - }, - } -GLN_BB: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 18.34628192440999, - 0.0, - -12.653106662862495, - -2.308837114186918, - 8.954233674535606, - -3.91119317891294, - 0.5316796258306677, - ], - }, - } -GLU_SC1: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 29.351084673668904, - 0.0, - -25.79707241472126, - -3.6799969167270383, - 21.17978423802722, - -10.576914242696471, - 1.6299464215900414, - ], - }, - } -GLU_BB: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 18.346286829276362, - 0.0, - -12.653107727973113, - -2.308836884569213, - 8.954232434184801, - -3.9111923125563077, - 0.5316794711419384, - ], - }, - } -GLY_BB: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 19.95957354188481, - 0.0, - -14.596710882003759, - -2.4650485889412432, - 10.550404760378463, - -4.733006480429002, - 0.658871566636229, - ], - }, - } -HIS_SC1: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 14.345367545374359, - 0.0, - -10.041758098778141, - -1.6294086394433904, - 7.065969229080364, - -3.2034582288702476, - 0.4563733476981673, - ], - }, - } -HIS_SC3: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 8.07611596649739, - 0.0, - -4.663773008486101, - -0.7207850675710777, - 2.7502459607915686, - -1.1351336933407574, - 0.1483622478653266, - ], - }, - } -HIS_BB: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 18.34628930847678, - 0.0, - -12.653110397161976, - -2.308837559646331, - 8.954234936431009, - -3.911193442324273, - 0.5316796236772365, - ], - }, - } -HIS_SC2: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 9.784850817395563, - 0.0, - -5.649503434447479, - -0.9237238134524006, - 3.406726588208722, - -1.4056551088084979, - 0.1828145400960235, - ], - }, - } -ILE_SC1: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 26.801065984189147, - 0.0, - -25.489008806703318, - -0.7562476346623122, - 18.155457341922748, - -9.555940609932325, - 1.5218581455445737, - ], - }, - } -ILE_BB: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 18.34628916112521, - 0.0, - -12.653109156612373, - -2.3088369156112667, - 8.954232978082535, - -3.911192510151001, - 0.5316794927501434, - ], - }, - } -LEU_SC1: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 37.49989463100606, - 0.0, - -39.736514656727834, - 0.16837451715235385, - 28.743714216600843, - -15.723931146131749, - 2.5670020512544163, - ], - }, - } -LEU_BB: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 18.34628926805233, - 0.0, - -12.653113776515932, - -2.3088399934396, - 8.954242155804467, - -3.911197162846981, - 0.5316801982204105, - ], - }, - } -LYS_SC1: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 26.573732811960003, - 0.0, - -24.217640132419316, - -1.824759487515795, - 18.00351593231975, - -9.194116103596835, - 1.4363060924989632, - ], - }, - } -LYS_BB: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 18.346285046930284, - 0.0, - -12.653106402936539, - -2.3088365203101664, - 8.95423124737095, - -3.9111917728361543, - 0.5316793949722012, - ], - }, - } -LYS_SC2: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 14.80629642090209, - 0.0, - -10.493282862526785, - -1.6719960107865846, - 7.409412495806956, - -3.3768304690757067, - 0.48329485259754, - ], - }, - } -MET_SC1: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 35.04924490936331, - 0.0, - -42.00553808495836, - 6.096999346214276, - 25.642206371771184, - -15.49081248877185, - 2.665658721047503, - ], - }, - } -MET_BB: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 18.346288799376623, - 0.0, - -12.653106218267808, - -2.3088354808811653, - 8.954227939254272, - -3.9111899020041183, - 0.5316790904311635, - ], - }, - } -PHE_SC1: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 28.834897681537683, - 0.0, - -25.808384353577637, - -2.635508353067409, - 20.050883355057785, - -10.18065310922445, - 1.5878949011125876, - ], - }, - } -PHE_SC3: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 21.73364479217217, 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- }, - } -TRP_SC1: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 14.345366927201121, - 0.0, - -10.044446791832698, - -1.6297646441053466, - 7.069297058741476, - -3.2053355223433897, - 0.45668560140377945, - ], - }, - } -TRP_SC2: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 9.784850287260367, - 0.0, - -5.649282531075631, - -0.9236587173035381, - 3.406482574700327, - -1.4055427257583402, - 0.18279886806309342, - ], - }, - } -TRP_SC3: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 10.975226124595096, - 0.0, - -6.309395017780425, - -1.0189848940106445, - 3.7646380921174742, - -1.5562753183975335, - 0.20361594700486663, - ], - }, - } -TRP_SC4: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 14.488968286538991, - 0.0, - -9.818245815522646, - -1.5839448421771576, - 6.686217814724176, - -2.9812678010997122, - 0.41863127588096827, - ], - }, - } -TRP_BB: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 18.346288316779418, - 0.0, - -12.653108933472941, - -2.3088373341834845, - 8.954233754389808, - -3.9111929291983016, - 0.5316795602194038, - ], - }, - } -TRP_SC5: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 14.4889688702991, - 0.0, - -9.827117733431884, - -1.5846950072382793, - 6.696690008283079, - -2.9872845726008324, - 0.41964490000300003, - ], - }, - } -TYR_SC1: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 14.345369897051523, - 0.0, - -10.068227791232788, - -1.6328804046854375, - 7.098732834469812, - -3.2219567274977896, - 0.4594519114012652, - ], - }, - } -TYR_SC2: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 14.488968947304825, - 0.0, - -9.804101810582646, - -1.582733109671285, - 6.669523341688837, - -2.9716836518706593, - 0.4170174828859192, - ], - }, - } -TYR_SC3: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 14.488968925984489, - 0.0, - -9.803775529440372, - -1.5827049240996354, - 6.669138255528683, - -2.971462691451091, - 0.4169802894266663, - ], - }, - } -TYR_SC4: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 10.210361502112532, - 0.0, - -5.618233459648116, - -0.887165101997055, - 3.2094249143101794, - -1.29820879142101, - 0.16617073008406535, - ], - }, - } -TYR_BB: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 18.346290326727836, - 0.0, - -12.65311624572839, - -2.308840590411406, - 8.954244662772602, - -3.9111982914906935, - 0.5316803443075067, - ], - }, - } -VAL_SC1: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 28.641691185690483, - 0.0, - -28.745627186697078, - 0.38955789952016406, - 19.6553653540045, - -10.648342430540302, - 1.7240229533400253, - ], - }, - } -VAL_BB: - { - formfactor: - !Polynomial { - qrange: [0.0, 0.75], - coeff: - [ - 18.346290366849075, - 0.0, - -12.653118950278962, - -2.308841967187501, - 8.954249505039021, - -3.911200811117064, - 0.5316807342435173, - ], - }, - } diff --git a/pripps-py/Cargo.toml b/pripps-py/Cargo.toml index 34a3649..4cc229e 100644 --- a/pripps-py/Cargo.toml +++ b/pripps-py/Cargo.toml @@ -12,3 +12,4 @@ crate-type = ["cdylib"] pripps = { path = ".." } pyo3 = { version = "0.24", features = ["extension-module", "abi3-py39"] } numpy = "0.24" +log = "0.4" diff --git a/pripps-py/examples/batch_sba_sasbdb.py b/pripps-py/examples/batch_sba_sasbdb.py index dfbcf50..fc920d3 100644 --- a/pripps-py/examples/batch_sba_sasbdb.py +++ b/pripps-py/examples/batch_sba_sasbdb.py @@ -1,16 +1,16 @@ #!/usr/bin/env python3 -"""Run the testing_sba.ipynb workflow over SASBDB cache entries. +"""Run the testing_single-bead_approximation.ipynb workflow over SASBDB cache entries. For each cache directory containing both: - - raw_cleaned.xyz + - raw_cleaned.xyz or raw_cleaned_martini3_aa.pdb - exp.dat this script fits (volume_scale, contrast_density) with the same setup -as testing_sba.ipynb: - - atomfile: assets/poly_atomic.yaml - - excluded: polynomial (assets/poly_excl.yaml) +as testing_single-bead_approximation.ipynb: + - atomfile: assets/poly_amino_acid.yaml (or poly_martini.yaml for Martini3) + - excluded: polynomial using the atomfile's excluded_solvent entries - hydration: disabled - - optimizer: L-BFGS-B with bounds [(0.95, 1.12), (-2.0, 4.0)] + - optimizer: L-BFGS-B with bounds [(0.95, 1.12), (-2.0, 4.0)] or change """ from __future__ import annotations @@ -60,7 +60,6 @@ def fit_single( pr: pripps.Pripps, xyz_path: Path, exp_path: Path, - excluded_atomfile: Path, qmax: float, nq: int, ) -> dict[str, float | np.ndarray]: @@ -72,7 +71,6 @@ def fit_single( qmax=qmax, nq=nq, excluded="polynomial", - excluded_atomfile=str(excluded_atomfile), hydration="grid", volume_scale=1.0, probe=1.8, @@ -90,7 +88,7 @@ def chi2(params: np.ndarray) -> float: result = minimize( chi2, x0=[1.0, 0.2], - bounds=[(-1.5, 2.0), (-2.0, 4.0)], + bounds=[(0.95, 1.12), (-2.0, 4.0)], method="L-BFGS-B", ) @@ -125,14 +123,8 @@ def main() -> None: parser.add_argument( "--atomfile", type=Path, - default=repo_root / "assets" / "poly_martini_atomic.yaml", - help="Form-factor YAML for Pripps(atomfile=...)", - ) - parser.add_argument( - "--excluded-atomfile", - type=Path, - default=repo_root / "assets" / "poly_martini_excl.yaml", - help="Polynomial excluded-volume YAML", + default=repo_root / "assets" / "poly_martini.yaml", + help="Form-factor YAML with formfactor and excluded_solvent entries", ) parser.add_argument( "--qmax", @@ -184,7 +176,6 @@ def main() -> None: pr=pr, xyz_path=xyz_path, exp_path=exp_path, - excluded_atomfile=args.excluded_atomfile, qmax=float(args.qmax), nq=int(args.nq), ) diff --git a/pripps-py/examples/testing_sasbdb.ipynb b/pripps-py/examples/testing_sasbdb.ipynb index d32aac6..1aba7be 100644 --- a/pripps-py/examples/testing_sasbdb.ipynb +++ b/pripps-py/examples/testing_sasbdb.ipynb @@ -1,5 +1,11 @@ { "cells": [ + { + "cell_type": "markdown", + "id": "8cb2b278", + "metadata": {}, + "source": [] + }, { "cell_type": "code", "execution_count": 1, @@ -469,7 +475,7 @@ ], "metadata": { "kernelspec": { - "display_name": "pripps-py", + "display_name": "pepsi", "language": "python", "name": "python3" }, @@ -483,7 +489,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.14" + "version": "3.11.0" } }, "nbformat": 4, diff --git a/pripps-py/examples/testing_sba.ipynb b/pripps-py/examples/testing_single-bead_approximation.ipynb similarity index 99% rename from pripps-py/examples/testing_sba.ipynb rename to pripps-py/examples/testing_single-bead_approximation.ipynb index b4f79ff..e02053a 100644 --- a/pripps-py/examples/testing_sba.ipynb +++ b/pripps-py/examples/testing_single-bead_approximation.ipynb @@ -55,14 +55,13 @@ } ], "source": [ - "pr = pripps.Pripps(atomfile=\"/Users/isabelvinterbladh/Documents/HALRIC/pripps/assets/poly_atomic.yaml\")\n", + "pr = pripps.Pripps(atomfile=\"/Users/isabelvinterbladh/Documents/HALRIC/pripps/assets/poly_amino_acid.yaml\")\n", "model = pr.multipole_model(\n", " structure_file=\"/Users/isabelvinterbladh/Documents/HALRIC/pripps/tests/lysozyme/6lyz.xyz\",\n", " qmin=0.0,\n", " qmax=0.5,\n", " nq=196,\n", " excluded=\"polynomial\",\n", - " excluded_atomfile = \"/Users/isabelvinterbladh/Documents/HALRIC/pripps/assets/poly_excluded_solvent.yaml\", # FoXS-style excluded volume (16π Fraser)\n", " volume_scale=1.0, # fit knob c₁ (scales excluded volume)\n", " hydration=\"sasa\", # FoXS-style SASA-weighted hydration shell\n", " probe=1.8, # SASA probe radius (Å)\n", @@ -158,7 +157,7 @@ } ], "source": [ - "pr = pripps.Pripps(atomfile=\"/Users/isabelvinterbladh/Documents/HALRIC/pripps/assets/poly_atomic.yaml\")\n", + "pr = pripps.Pripps(atomfile=\"/Users/isabelvinterbladh/Documents/HALRIC/pripps/assets/poly_amino_acid.yaml\")\n", "model = pr.multipole_model(\n", " structure_file=\"/Users/isabelvinterbladh/Documents/HALRIC/pripps/tests/lysozyme/6lyz.xyz\",\n", " qmin=0.0,\n", diff --git a/pripps-py/src/lib.rs b/pripps-py/src/lib.rs index aa5c689..3abf7ca 100644 --- a/pripps-py/src/lib.rs +++ b/pripps-py/src/lib.rs @@ -3,11 +3,7 @@ use pyo3::exceptions::{PyIOError, PyRuntimeError, PyValueError}; use pyo3::prelude::*; use pyo3::types::PyDict; -use ::pripps::{ - ExcludedVolume, Hydration, Intensity, MultipoleModel, Pripps, SolventConfig, read_formfactors, -}; - -const DEFAULT_POLY_EXCLUDED_ATOMFILE: &str = "assets/poly_excl.yaml"; +use ::pripps::{ExcludedVolume, Hydration, Intensity, MultipoleModel, Pripps, SolventConfig}; #[pyclass(name = "Pripps", module = "pripps")] struct PyPripps(Pripps); @@ -128,11 +124,12 @@ fn solvent_from_kwargs( }, "voronoi" => ExcludedVolume::Voronoi { volume_scale }, "polynomial" => { - let path = excluded_atomfile.unwrap_or(DEFAULT_POLY_EXCLUDED_ATOMFILE); - ExcludedVolume::Polynomial { - volume_scale, - formfactors: read_formfactors(path.as_ref()).map_err(into_py_err)?, + if excluded_atomfile.is_some() { + log::warn!( + "`excluded_atomfile` is ignored; polynomial excluded volume is read from `excluded_solvent` entries in `atomfile`" + ); } + ExcludedVolume::Polynomial { volume_scale } } other => { return Err(PyValueError::new_err(format!( diff --git a/pripps-py/tests/test_smoke.py b/pripps-py/tests/test_smoke.py index dd7d975..5c72ad8 100644 --- a/pripps-py/tests/test_smoke.py +++ b/pripps-py/tests/test_smoke.py @@ -36,7 +36,7 @@ def chi2_per_point(q_theory, i_theory, exp): class TestMultipoleModel(unittest.TestCase): def test_prepare_and_call(self): - pr = pripps.Pripps("../assets/single_bead.yaml") + pr = pripps.Pripps("../assets/poly_amino_acid.yaml") fit = pr.multipole_model( "../tests/lysozyme/4lzt.xyz", qmin=0.0, @@ -52,7 +52,7 @@ def test_prepare_and_call(self): self.assertTrue(np.all(out["atoms"] > 0)) def test_refit_produces_different_curves(self): - pr = pripps.Pripps("../assets/single_bead.yaml") + pr = pripps.Pripps("../assets/poly_amino_acid.yaml") fit = pr.multipole_model( "../tests/lysozyme/4lzt.xyz", qmin=0.0, @@ -66,7 +66,7 @@ def test_refit_produces_different_curves(self): self.assertFalse(np.allclose(a["total"], b["total"])) def test_bad_excluded_raises(self): - pr = pripps.Pripps("../assets/single_bead.yaml") + pr = pripps.Pripps("../assets/poly_amino_acid.yaml") with self.assertRaises(ValueError) as ctx: pr.multipole_model( "../tests/lysozyme/4lzt.xyz", @@ -101,7 +101,7 @@ class TestPepsiFit(unittest.TestCase): def setUpClass(cls): cls.exp = load_lyzexp() q_max = float(cls.exp[-1, 0]) - pr = pripps.Pripps("../assets/single_bead.yaml") + pr = pripps.Pripps("../assets/gaussian_atoms.yaml") cls.model = pr.multipole_model( "../tests/lysozyme/4lzt.pdb", qmin=0.0, diff --git a/scripts/sasbdb_bench.py b/scripts/sasbdb_bench.py index c560104..b34779e 100755 --- a/scripts/sasbdb_bench.py +++ b/scripts/sasbdb_bench.py @@ -49,8 +49,8 @@ BENCH = REPO / "sasbdb_bench" CACHE = BENCH / "cache" FF_YAML_DEFAULT = REPO / "assets" / "foxs_formfactors.yaml" -# Override via --atomfile if you want single_bead.yaml (needed for -# `--excluded voronoi` to match PepsiSAXS's K=4π convention). +# Override via --atomfile if you want gaussian_atoms.yaml for the +# PepsiSAXS-style K=4π convention. SASBDB_API = "https://www.sasbdb.org/rest-api/entry/summary/{}/" diff --git a/src/cli.rs b/src/cli.rs index fe4f436..dcf6c0f 100644 --- a/src/cli.rs +++ b/src/cli.rs @@ -17,7 +17,6 @@ use crate::error::IoResultExt; use crate::{ ExcludedVolume, Hydration, Intensity, IntensityScheme, Pripps, Result, SolventConfig, cli, - read_formfactors, }; use clap::{Parser, Subcommand, ValueEnum, builder::styling::AnsiColor}; @@ -26,8 +25,6 @@ use std::env::set_var; use std::io::{BufWriter, Write}; use std::path::{Path, PathBuf}; -const DEFAULT_POLY_EXCLUDED_ATOMFILE: &str = "assets/poly_excl.yaml"; - /// Commands #[derive(Debug, Subcommand)] pub enum Commands { @@ -90,8 +87,8 @@ pub struct SolventArgs { /// Grid spacing (Å) for `--excluded grid` #[clap(long, default_value = "1.0")] excluded_spacing: f64, - /// Form-factor YAML for `--excluded polynomial` - #[clap(long)] + /// Deprecated: `--excluded polynomial` reads `excluded_solvent` from `--atomfile`. + #[clap(long, hide = true)] excluded_atomfile: Option, /// Bulk solvent electron density (e/ų) #[clap(long, default_value = "0.334")] @@ -136,13 +133,13 @@ impl SolventArgs { volume_scale: self.volume_scale, }, ExcludedKind::Polynomial => { - let path = self - .excluded_atomfile - .as_deref() - .unwrap_or_else(|| Path::new(DEFAULT_POLY_EXCLUDED_ATOMFILE)); + if self.excluded_atomfile.is_some() { + log::warn!( + "`--excluded-atomfile` is ignored; polynomial excluded volume is read from `excluded_solvent` entries in `--atomfile`" + ); + } ExcludedVolume::Polynomial { volume_scale: self.volume_scale, - formfactors: read_formfactors(path)?, } } }; diff --git a/src/formfactor.rs b/src/formfactor.rs index 8b5c11c..ab299ac 100644 --- a/src/formfactor.rs +++ b/src/formfactor.rs @@ -30,7 +30,14 @@ use std::{cmp::Ordering, collections::BTreeMap, fs::File, ops::Add, path::Path}; // without churning call sites. #[derive(Debug, Clone, Default, PartialEq)] pub struct FormFactorMap { - entries: Vec<(AtomKind, FormFactor)>, + entries: Vec, +} + +#[derive(Debug, Clone, PartialEq)] +struct FormFactorEntry { + kind: AtomKind, + formfactor: FormFactor, + excluded_solvent: Option, } impl FormFactorMap { @@ -42,21 +49,23 @@ impl FormFactorMap { self.entries.is_empty() } - pub fn iter(&self) -> impl Iterator { - self.entries.iter() + pub fn iter(&self) -> impl Iterator { + self.entries + .iter() + .map(|entry| (&entry.kind, &entry.formfactor)) } /// Atom kind at id `id`. Panics on out-of-range id. pub(crate) fn kind(&self, id: usize) -> &AtomKind { - &self.entries[id].0 + &self.entries[id].kind } pub(crate) fn kinds(&self) -> impl Iterator { - self.entries.iter().map(|(k, _)| k) + self.entries.iter().map(|entry| &entry.kind) } pub(crate) fn form_factors(&self) -> impl Iterator { - self.entries.iter().map(|(_, f)| f) + self.entries.iter().map(|entry| &entry.formfactor) } /// Linear-search the table for the kind named `name` and return @@ -66,12 +75,37 @@ impl FormFactorMap { pub(crate) fn form_factor_by_name(&self, name: &str) -> Option<&FormFactor> { self.entries .iter() - .find(|(k, _)| k.name() == name) - .map(|(_, f)| f) + .find(|entry| entry.kind.name() == name) + .map(|entry| &entry.formfactor) + } + + pub(crate) fn excluded_solvent(&self, id: usize) -> Option<&FormFactor> { + self.entries[id].excluded_solvent.as_ref() + } + + #[cfg(test)] + pub(crate) fn from_entries(entries: Vec<(AtomKind, FormFactor)>) -> Self { + Self::from_entries_with_excluded( + entries + .into_iter() + .map(|(kind, formfactor)| (kind, formfactor, None)) + .collect(), + ) } - pub(crate) const fn from_entries(entries: Vec<(AtomKind, FormFactor)>) -> Self { - Self { entries } + pub(crate) fn from_entries_with_excluded( + entries: Vec<(AtomKind, FormFactor, Option)>, + ) -> Self { + Self { + entries: entries + .into_iter() + .map(|(kind, formfactor, excluded_solvent)| FormFactorEntry { + kind, + formfactor, + excluded_solvent, + }) + .collect(), + } } } @@ -262,6 +296,31 @@ struct AtomSpec { /// Form factor for the atom. #[serde(alias = "ff")] formfactor: FormFactorSpec, + /// Optional excluded-solvent form factor used by + /// `ExcludedVolume::Polynomial`. + excluded_solvent: Option, +} + +#[derive(Copy, Clone)] +enum SpecRole { + FormFactor, + ExcludedSolvent, +} + +impl AtomSpec { + fn spec(&self, role: SpecRole) -> Option<&FormFactorSpec> { + match role { + SpecRole::FormFactor => Some(&self.formfactor), + SpecRole::ExcludedSolvent => self.excluded_solvent.as_ref(), + } + } + + fn spec_mut(&mut self, role: SpecRole) -> Option<&mut FormFactorSpec> { + match role { + SpecRole::FormFactor => Some(&mut self.formfactor), + SpecRole::ExcludedSolvent => self.excluded_solvent.as_mut(), + } + } } // If `displaced_volume` is absent but `radius` is present, @@ -334,23 +393,26 @@ pub fn read_formfactors(path: &Path) -> Result { let file = File::open(path).with_path(path)?; let mut specs: BTreeMap = yaml_serde::from_reader(file)?; - convert_alias(&mut specs)?; - convert_linear(&mut specs)?; - convert_united(&mut specs)?; + resolve_symbolic_specs(&mut specs, SpecRole::FormFactor)?; + resolve_symbolic_specs(&mut specs, SpecRole::ExcludedSolvent)?; // Spec → runtime: the three resolvers above guarantee every remaining // variant is one of the four concrete ones, so `try_from` only errors if // a resolver pass has a bug. - let entries: Vec<(AtomKind, FormFactor)> = specs + let entries: Vec<(AtomKind, FormFactor, Option)> = specs .into_iter() .map(|(name, spec)| { let kind = AtomKind::from((&*name, &spec)); let ff = FormFactor::try_from(spec.formfactor)?; - Ok((kind, ff)) + let excluded_solvent = spec + .excluded_solvent + .map(FormFactor::try_from) + .transpose()?; + Ok((kind, ff, excluded_solvent)) }) .collect::>()?; - let formfactor = FormFactorMap::from_entries(entries); + let formfactor = FormFactorMap::from_entries_with_excluded(entries); log::info!( "Read form-factor definitions from {} for {} species", path.display(), @@ -380,7 +442,7 @@ pub fn write_formfactors(formfactor: &FormFactorMap, path: &Path) -> Result<()> // // Only evaluates kinds that are actually referenced by `atom_ids`, // not every kind in the map. Form-factor YAMLs can mix definitions -// with different q-ranges — e.g. `single_bead.yaml` has atomic +// with different q-ranges — e.g. `poly_amino_acid.yaml` has atomic // Gaussians out to q = 6 Å⁻¹ alongside residue-level Polynomials // limited to q ≤ 0.75 — and evaluating all of them at a common q // would error on unused entries with narrower ranges. @@ -416,18 +478,26 @@ pub fn formfactor_product_by_id(formfactors: &FormFactorMap, q: f64) -> Result) -> Result<()> { +fn resolve_symbolic_specs(specs: &mut BTreeMap, role: SpecRole) -> Result<()> { + convert_alias(specs, role)?; + convert_linear(specs, role)?; + convert_united(specs, role) +} + +fn convert_linear(specs: &mut BTreeMap, role: SpecRole) -> Result<()> { const TABLE_LEN: usize = 100; const MAX_Q: f64 = 2.0; // Å⁻¹ - let no_linear: BTreeMap = specs + let no_linear: BTreeMap = specs .iter() - .filter(|(_, spec)| !matches!(spec.formfactor, FormFactorSpec::Linear(_))) - .map(|(name, spec)| (name.clone(), spec.clone())) + .filter_map(|(name, spec)| { + let spec = spec.spec(role)?; + (!matches!(spec, FormFactorSpec::Linear(_))).then(|| (name.clone(), spec.clone())) + }) .collect(); for spec in specs.values_mut() { - let FormFactorSpec::Linear(components) = &spec.formfactor else { + let Some(FormFactorSpec::Linear(components)) = spec.spec(role) else { continue; }; let components = components.clone(); @@ -435,7 +505,6 @@ fn convert_linear(specs: &mut BTreeMap) -> Result<()> { let get_ff = |name: &str| { no_linear .get(name) - .map(|s| &s.formfactor) .ok_or_else(|| Error::UndefinedFormFactor(name.to_string())) }; @@ -459,38 +528,48 @@ fn convert_linear(specs: &mut BTreeMap) -> Result<()> { let qvalues = crate::q_sampler::linear_q_values(qmin, qmax, TABLE_LEN); let table = qvalues.iter().cloned().map(lin_combination).try_collect()?; - spec.formfactor = FormFactorSpec::Table(table); + *spec + .spec_mut(role) + .ok_or_else(|| Error::internal("missing linear form factor slot"))? = + FormFactorSpec::Table(table); } Ok(()) } -fn convert_alias(specs: &mut BTreeMap) -> Result<()> { +fn convert_alias(specs: &mut BTreeMap, role: SpecRole) -> Result<()> { let no_alias: BTreeMap = specs .iter() - .filter(|(_, spec)| !matches!(spec.formfactor, FormFactorSpec::Alias(_))) - .map(|(name, spec)| (name.clone(), spec.formfactor.clone())) + .filter_map(|(name, spec)| { + let spec = spec.spec(role)?; + (!matches!(spec, FormFactorSpec::Alias(_))).then(|| (name.clone(), spec.clone())) + }) .collect(); for spec in specs.values_mut() { - let FormFactorSpec::Alias(name) = &spec.formfactor else { + let Some(FormFactorSpec::Alias(name)) = spec.spec(role) else { continue; }; - spec.formfactor = no_alias - .get(name) + let name = name.clone(); + *spec + .spec_mut(role) + .ok_or_else(|| Error::internal("missing alias form factor slot"))? = no_alias + .get(&name) .ok_or_else(|| Error::UndefinedFormFactor(name.to_string()))? .clone(); } Ok(()) } -fn convert_united(specs: &mut BTreeMap) -> Result<()> { +fn convert_united(specs: &mut BTreeMap, role: SpecRole) -> Result<()> { const TABLE_SIZE: usize = 100; const MAX_Q: f64 = 2.0; // Å⁻¹ - let no_united: BTreeMap = specs + let no_united: BTreeMap = specs .iter() - .filter(|(_, spec)| !matches!(spec.formfactor, FormFactorSpec::United { .. })) - .map(|(name, spec)| (name.clone(), spec.clone())) + .filter_map(|(name, spec)| { + let spec = spec.spec(role)?; + (!matches!(spec, FormFactorSpec::United { .. })).then(|| (name.clone(), spec.clone())) + }) .collect(); // Evaluates single united form factor to a tabulated form factor @@ -500,7 +579,6 @@ fn convert_united(specs: &mut BTreeMap) -> Result<()> { }; let center_ff = &no_united .get(center) - .map(|s| &s.formfactor) .ok_or_else(|| Error::UndefinedFormFactor(center.clone()))?; let (qmin, mut qmax) = center_ff.qrange(); @@ -517,7 +595,6 @@ fn convert_united(specs: &mut BTreeMap) -> Result<()> { for (name, offset, weight) in orbit { let orbit_ff = &no_united .get(name) - .map(|s| &s.formfactor) .ok_or_else(|| Error::UndefinedFormFactor(name.clone()))?; let weight = weight.unwrap_or(1.0); for (q, f) in table.iter_mut() { @@ -528,8 +605,14 @@ fn convert_united(specs: &mut BTreeMap) -> Result<()> { }; for spec in specs.values_mut() { - if matches!(spec.formfactor, FormFactorSpec::United { .. }) { - spec.formfactor = eval(&spec.formfactor)?; + if matches!(spec.spec(role), Some(FormFactorSpec::United { .. })) { + let resolved = eval( + spec.spec(role) + .ok_or_else(|| Error::internal("missing united form factor slot"))?, + )?; + *spec + .spec_mut(role) + .ok_or_else(|| Error::internal("missing united form factor slot"))? = resolved; } } Ok(()) @@ -628,9 +711,9 @@ mod tests { /// Exercises the `Alias` / `United` / `Gaussian` / `Table` resolver paths /// end-to-end and pins the spec→runtime pipeline. #[test] - fn test_read_formfactors_single_bead() { - let path = Path::new("assets/single_bead.yaml"); - let ff = read_formfactors(path).expect("parse single_bead.yaml"); + fn test_read_formfactors_poly_amino_acid() { + let path = Path::new("assets/poly_amino_acid.yaml"); + let ff = read_formfactors(path).expect("parse poly_amino_acid.yaml"); assert!(!ff.is_empty(), "expected at least one species"); for (kind, f) in ff.iter() { let v = f.eval(0.1).unwrap_or_else(|e| { @@ -639,4 +722,52 @@ mod tests { assert!(v.is_finite(), "non-finite F(0.1) for {}", kind.name()); } } + + #[test] + fn read_formfactors_keeps_excluded_solvent() { + let yaml = r" +ALA: + radius: 3.1 + formfactor: !Polynomial { qrange: [0.0, 1.0], coeff: [10.0] } + excluded_solvent: !Polynomial { qrange: [0.0, 1.0], coeff: [3.5] } +"; + let path = std::env::temp_dir().join("pripps_excluded_solvent.yaml"); + std::fs::write(&path, yaml).unwrap(); + let ff = read_formfactors(&path).unwrap(); + let excluded = ff.excluded_solvent(0).expect("excluded_solvent"); + assert_relative_eq!(excluded.eval(0.2).unwrap(), 3.5); + } + + #[test] + fn read_formfactors_resolves_symbolic_excluded_solvent() { + let yaml = r" +H: + formfactor: !Constant 1.0 + excluded_solvent: !Constant 0.2 +O: + formfactor: !Constant 8.0 + excluded_solvent: !Constant 1.0 +ALIAS: + formfactor: !Constant 2.0 + excluded_solvent: !Alias H +LINEAR: + formfactor: !Constant 3.0 + excluded_solvent: !Linear [[H, 2.0], [O, 3.0]] +UNITED: + formfactor: !Constant 4.0 + excluded_solvent: !United { center: O, orbit: [[H, 1.0, 2]] } +"; + let path = std::env::temp_dir().join("pripps_symbolic_excluded_solvent.yaml"); + std::fs::write(&path, yaml).unwrap(); + let ff = read_formfactors(&path).unwrap(); + + let excluded_at = |name: &str| { + let id = ff.kinds().position(|kind| kind.name() == name).unwrap(); + ff.excluded_solvent(id).unwrap().eval(0.0).unwrap() + }; + + assert_relative_eq!(excluded_at("ALIAS"), 0.2); + assert_relative_eq!(excluded_at("LINEAR"), 3.4); + assert_relative_eq!(excluded_at("UNITED"), 1.4); + } } diff --git a/src/lib.rs b/src/lib.rs index 01b2aad..cfc1983 100644 --- a/src/lib.rs +++ b/src/lib.rs @@ -308,7 +308,7 @@ mod tests { } fn yaml_and_xyz() -> (Pripps, std::path::PathBuf) { - let yaml = std::path::Path::new("assets/single_bead.yaml"); + let yaml = std::path::Path::new("assets/poly_amino_acid.yaml"); let xyz = std::path::PathBuf::from("tests/lysozyme/4lzt.xyz"); (Pripps::from_yaml(yaml).unwrap(), xyz) } @@ -451,7 +451,7 @@ mod tests { // produce a physically reasonable profile. Not as good as // the FoXS pipeline (different coefficients, different // denominator) but the shape should be plausible. - let pripps = Pripps::from_yaml(std::path::Path::new("assets/single_bead.yaml")).unwrap(); + let pripps = Pripps::from_yaml(std::path::Path::new("assets/gaussian_atoms.yaml")).unwrap(); let pdb = std::path::PathBuf::from("tests/lysozyme/6lyz.pdb"); let solvent = SolventConfig { excluded: ExcludedVolume::Fraser { volume_scale: 1.0 }, diff --git a/src/solvent/fraser.rs b/src/solvent/fraser.rs index 4684ab0..ddb28b5 100644 --- a/src/solvent/fraser.rs +++ b/src/solvent/fraser.rs @@ -72,7 +72,7 @@ pub(super) fn dummies( let mut form_factors = Vec::with_capacity(structure.pos.len()); // Validate per atom rather than up front over all kinds in the - // map: coarse-grained YAML files (e.g. `single_bead.yaml`) may + // map: coarse-grained YAML files (e.g. `poly_amino_acid.yaml`) may // legally leave some residue entries without a `displaced_volume`, // and only kinds the loaded structure references need one. for (&id, &pos) in structure.ids.iter().zip(&structure.pos) { diff --git a/src/solvent/mod.rs b/src/solvent/mod.rs index d3dcf89..2a68d6e 100644 --- a/src/solvent/mod.rs +++ b/src/solvent/mod.rs @@ -204,13 +204,10 @@ pub enum ExcludedVolume { Voronoi { volume_scale: f64, }, - /// Per-kind excluded-volume form factors from a dedicated YAML - /// table, evaluated directly (typically polynomial fits from - /// `poly_excl.yaml`). The table is matched by kind name against - /// the structure's atom/residue kinds. + /// Per-kind excluded-solvent form factors stored alongside the + /// atom/residue form factors in the same YAML file. Polynomial { volume_scale: f64, - formfactors: FormFactorMap, }, } @@ -388,10 +385,7 @@ impl ExcludedVolume { Self::Voronoi { .. } => { voronoi_excluded::dummies(structure, formfactors, bulk_electron_density) } - Self::Polynomial { - formfactors: excluded_formfactors, - .. - } => polynomial_excluded::dummies(structure, formfactors, excluded_formfactors), + Self::Polynomial { .. } => polynomial_excluded::dummies(structure, formfactors), } } } diff --git a/src/solvent/polynomial_excluded.rs b/src/solvent/polynomial_excluded.rs index 73d0ba2..e7ea1a0 100644 --- a/src/solvent/polynomial_excluded.rs +++ b/src/solvent/polynomial_excluded.rs @@ -3,31 +3,27 @@ // Licensed under the Apache license, version 2.0 (the "license"); // you may not use this file except in compliance with the license. -//! Polynomial excluded-volume dummies from a separate form-factor table. +//! Polynomial excluded-volume dummies from the atom form-factor table. //! //! For each structure atom/residue, this generator copies a polynomial -//! excluded-volume form factor from a dedicated YAML table (typically -//! `assets/poly_excl.yaml`) by matching on kind name. +//! excluded-solvent form factor from the same YAML entry as the atomistic +//! form factor. use crate::formfactor::FormFactorMap; use crate::solvent::DummySet; use crate::{Error, Result, Structure}; -pub(super) fn dummies( - structure: &Structure, - atom_formfactors: &FormFactorMap, - excluded_formfactors: &FormFactorMap, -) -> Result { +pub(super) fn dummies(structure: &Structure, formfactors: &FormFactorMap) -> Result { let mut positions = Vec::with_capacity(structure.pos.len()); let mut form_factors = Vec::with_capacity(structure.pos.len()); for (&id, &pos) in structure.ids.iter().zip(&structure.pos) { - let kind_name = atom_formfactors.kind(id).name(); - let ff = excluded_formfactors - .form_factor_by_name(kind_name) + let kind_name = formfactors.kind(id).name(); + let ff = formfactors + .excluded_solvent(id) .ok_or_else(|| { Error::validation(format!( - "atom kind {kind_name} is missing from the polynomial excluded-volume table" + "atom kind {kind_name} has no `excluded_solvent`; required by ExcludedVolume::Polynomial" )) })? .clone(); @@ -36,7 +32,7 @@ pub(super) fn dummies( } log::info!( - "Polynomial excluded volume: {} dummies from separate table", + "Polynomial excluded volume: {} dummies from form-factor table", positions.len() ); DummySet::per_dummy(positions, form_factors) @@ -48,42 +44,47 @@ mod tests { use crate::formfactor::FormFactor; use crate::{AtomKind, Vector3}; - fn map_with(name: &str, coeff0: f64) -> FormFactorMap { - let kind = AtomKind::new(name); - let ff = FormFactor::Polynomial { + fn polynomial(coeff0: f64) -> FormFactor { + FormFactor::Polynomial { qrange: (0.0, 1.0), coeff: vec![coeff0], - }; - FormFactorMap::from_entries(vec![(kind, ff)]) + } + } + + fn map_with(name: &str, atom_coeff0: f64, excluded_coeff0: Option) -> FormFactorMap { + let kind = AtomKind::new(name); + FormFactorMap::from_entries_with_excluded(vec![( + kind, + polynomial(atom_coeff0), + excluded_coeff0.map(polynomial), + )]) } #[test] - fn copies_form_factors_by_kind_name() { - let atom_map = map_with("ALA", 10.0); - let excluded_map = map_with("ALA", 3.5); + fn copies_excluded_solvent_from_atom_map() { + let atom_map = map_with("ALA", 10.0, Some(3.5)); let structure = Structure { pos: vec![Vector3::new(0.0, 0.0, 0.0)], ids: vec![0], box_sides: None, }; - let d = dummies(&structure, &atom_map, &excluded_map).unwrap(); + let d = dummies(&structure, &atom_map).unwrap(); let mut f = Vec::new(); d.form_factors_at(0.2, &mut f).unwrap(); assert_eq!(f, vec![3.5]); } #[test] - fn missing_kind_in_excluded_table_errors() { - let atom_map = map_with("ALA", 10.0); - let excluded_map = map_with("GLY", 3.5); + fn missing_excluded_solvent_errors() { + let atom_map = map_with("ALA", 10.0, None); let structure = Structure { pos: vec![Vector3::new(0.0, 0.0, 0.0)], ids: vec![0], box_sides: None, }; - let err = dummies(&structure, &atom_map, &excluded_map).unwrap_err(); - assert!(format!("{err}").contains("ALA")); + let err = dummies(&structure, &atom_map).unwrap_err(); + assert!(format!("{err}").contains("excluded_solvent")); } } From c6371cacda4d9af064f8690a282b972ad3f9a74e Mon Sep 17 00:00:00 2001 From: IVinterbladh Date: Mon, 15 Jun 2026 16:04:26 +0200 Subject: [PATCH 11/22] added the solvation option to debye and direct models (multipole already had it)and added such that all three have the same scaling to experimental data --- README.md | 21 ++++- pripps-py/src/lib.rs | 165 ++++++++++++++++++++++++++++++++- src/cli.rs | 44 ++++++--- src/debye.rs | 190 +++++++++++++++++++++++++++++++++++--- src/explicit.rs | 184 +++++++++++++++++++++++++----------- src/lib.rs | 215 +++++++++++++++++++++++++++++++++++++------ src/multipole/mod.rs | 8 +- src/solvent/mod.rs | 27 ++++++ 8 files changed, 744 insertions(+), 110 deletions(-) diff --git a/README.md b/README.md index a1ec596..586a652 100644 --- a/README.md +++ b/README.md @@ -61,6 +61,15 @@ the fit knobs to the cached amplitudes — typically under a millisecond each — so wrapping them in `scipy.minimize` or a grid search is fluent. +For small structures or exact reference checks, `debye_model` accepts +the same solvent keyword arguments and exposes the same +`model.intensity(volume_scale, contrast_density)` interface. It caches +the exact Debye self and cross terms for atoms, excluded volume, and +hydration before fitting. +`direct_model` does the same for the explicit discrete-q transform, +caching the complex amplitudes before recombining and averaging +duplicate q magnitudes. + A full working example is in `pripps-py/examples/fit_lysozyme.py`, which fits lysozyme against the shipped `tests/lysozyme/lyzexp.dat` experimental dataset and reproduces FoXS's χ²/N ≈ 0.20: @@ -289,12 +298,20 @@ pripps -a atoms.yaml -i structure.pdb multipole --lmax 68 # fixed order # With solvent correction — CSV output with 5 columns pripps -a atoms.yaml -i structure.pdb -o intensity.csv \ multipole --excluded fraser --hydration sasa +pripps -a atoms.yaml -i structure.pdb -o intensity.csv \ + debye --excluded fraser --hydration sasa # Fit against experimental data (box-constrained Nelder-Mead over # c₁ ∈ [0.5, 2.0] and c₂ ∈ [0.0, 0.1]; warns if the fit hits a bound) pripps -a assets/foxs_formfactors.yaml -i structure.pdb \ -f experimental.dat -o fit.csv \ multipole --excluded foxs --hydration sasa +pripps -a assets/foxs_formfactors.yaml -i structure.pdb \ + -f experimental.dat -o fit.csv \ + debye --excluded foxs --hydration sasa +pripps -a assets/foxs_formfactors.yaml -i structure.pdb \ + -f experimental.dat -o fit.csv \ + direct --excluded foxs --hydration sasa # Trajectory averaging — use `direct` so each frame's periodic box # is honoured (multipole ignores PBC). @@ -306,8 +323,8 @@ pripps -a atoms.yaml -i structure.pdb -x trajectory.xtc direct | Scheme | Best for | Notes | |---|---|---| | `multipole` | Single structures, fitting loops | Fastest for large atomic PDBs; no periodic boundaries. | -| `direct` | MD trajectories with periodic box | Evaluates I(q) on discrete Miller-index q-vectors; each frame's box is picked up from the XTC. | -| `debye` | Small clusters, reference checks | Exact pair-distance sum; quadratic in atoms, fine under a few hundred. | +| `direct` | MD trajectories with periodic box | Evaluates I(q) on discrete Miller-index q-vectors; supports the same solvent fit knobs for single-frame fits. | +| `debye` | Small clusters, reference checks | Exact pair-distance sum with the same solvent and fit knobs as multipole; quadratic in atoms, fine under a few hundred. | Output is CSV: `q,total` for vacuum, or `q,total,atoms,excluded,hydration` when solvent is active. diff --git a/pripps-py/src/lib.rs b/pripps-py/src/lib.rs index 3abf7ca..16a3a41 100644 --- a/pripps-py/src/lib.rs +++ b/pripps-py/src/lib.rs @@ -3,7 +3,10 @@ use pyo3::exceptions::{PyIOError, PyRuntimeError, PyValueError}; use pyo3::prelude::*; use pyo3::types::PyDict; -use ::pripps::{ExcludedVolume, Hydration, Intensity, MultipoleModel, Pripps, SolventConfig}; +use ::pripps::{ + DebyeModel, DirectModel, ExcludedVolume, Hydration, Intensity, MultipoleModel, Pripps, + SolventConfig, +}; #[pyclass(name = "Pripps", module = "pripps")] struct PyPripps(Pripps); @@ -75,6 +78,116 @@ impl PyPripps { .map(PyMultipoleModel) .map_err(into_py_err) } + + /// Prepare a stateful Debye fit. Caches exact per-q Debye terms + /// so `DebyeModel.intensity` is cheap to call repeatedly with + /// different `(volume_scale, contrast_density)`. + #[allow(clippy::too_many_arguments)] + #[pyo3(signature = ( + structure_file, + *, + qmin = 0.0, + qmax = 0.5, + nq = 100, + excluded = "none", + excluded_atomfile = None, + volume_scale = 1.0, + excluded_spacing = 1.0, + hydration = "none", + probe = 1.8, + spacing = 1.5, + thickness = 3.0, + contrast_density = 0.03, + bulk_electron_density = 0.334, + ))] + fn debye_model( + &self, + structure_file: &str, + qmin: f64, + qmax: f64, + nq: usize, + excluded: &str, + excluded_atomfile: Option<&str>, + volume_scale: f64, + excluded_spacing: f64, + hydration: &str, + probe: f64, + spacing: f64, + thickness: f64, + contrast_density: f64, + bulk_electron_density: f64, + ) -> PyResult { + let cfg = solvent_from_kwargs( + excluded, + excluded_atomfile, + volume_scale, + excluded_spacing, + hydration, + probe, + spacing, + thickness, + contrast_density, + bulk_electron_density, + )?; + self.0 + .debye_model(structure_file.as_ref(), qmin, qmax, nq, &cfg) + .map(PyDebyeModel) + .map_err(into_py_err) + } + + /// Prepare a stateful direct/explicit fit. Caches per-q-vector + /// amplitudes so `DirectModel.intensity` is cheap to call + /// repeatedly with different `(volume_scale, contrast_density)`. + #[allow(clippy::too_many_arguments)] + #[pyo3(signature = ( + structure_file, + *, + pmax = 6, + side_length = 200.0, + excluded = "none", + excluded_atomfile = None, + volume_scale = 1.0, + excluded_spacing = 1.0, + hydration = "none", + probe = 1.8, + spacing = 1.5, + thickness = 3.0, + contrast_density = 0.03, + bulk_electron_density = 0.334, + ))] + fn direct_model( + &self, + structure_file: &str, + pmax: usize, + side_length: f64, + excluded: &str, + excluded_atomfile: Option<&str>, + volume_scale: f64, + excluded_spacing: f64, + hydration: &str, + probe: f64, + spacing: f64, + thickness: f64, + contrast_density: f64, + bulk_electron_density: f64, + ) -> PyResult { + let cfg = solvent_from_kwargs( + excluded, + excluded_atomfile, + volume_scale, + excluded_spacing, + hydration, + probe, + spacing, + thickness, + contrast_density, + bulk_electron_density, + )?; + self.0 + .direct_model(structure_file.as_ref(), pmax, [side_length; 3], &cfg) + .map(PyDirectModel) + .map_err(into_py_err) + } } #[pyclass(name = "MultipoleModel", module = "pripps")] @@ -101,6 +214,54 @@ impl PyMultipoleModel { } } +#[pyclass(name = "DebyeModel", module = "pripps")] +struct PyDebyeModel(DebyeModel); + +#[pymethods] +impl PyDebyeModel { + /// Compute I(q) for the given fit parameters. Returns a dict of + /// numpy arrays: `q`, `total`, `atoms`, `excluded`, `hydration`. + fn intensity<'py>( + &self, + py: Python<'py>, + volume_scale: f64, + contrast_density: f64, + ) -> PyResult> { + let out = self.0.intensity(volume_scale, contrast_density); + intensity_to_dict(py, out) + } + + /// The q grid the fit was prepared over. + #[getter] + fn q_values<'py>(&self, py: Python<'py>) -> Bound<'py, numpy::PyArray1> { + self.0.q_values().to_vec().into_pyarray(py) + } +} + +#[pyclass(name = "DirectModel", module = "pripps")] +struct PyDirectModel(DirectModel); + +#[pymethods] +impl PyDirectModel { + /// Compute I(q) for the given fit parameters. Returns a dict of + /// numpy arrays: `q`, `total`, `atoms`, `excluded`, `hydration`. + fn intensity<'py>( + &self, + py: Python<'py>, + volume_scale: f64, + contrast_density: f64, + ) -> PyResult> { + let out = self.0.intensity(volume_scale, contrast_density); + intensity_to_dict(py, out) + } + + /// The duplicate-averaged q grid the fit was prepared over. + #[getter] + fn q_values<'py>(&self, py: Python<'py>) -> Bound<'py, numpy::PyArray1> { + self.0.q_values().to_vec().into_pyarray(py) + } +} + #[allow(clippy::too_many_arguments)] fn solvent_from_kwargs( excluded: &str, @@ -197,5 +358,7 @@ fn into_py_err(err: ::pripps::Error) -> PyErr { fn pripps(m: &Bound<'_, PyModule>) -> PyResult<()> { m.add_class::()?; m.add_class::()?; + m.add_class::()?; + m.add_class::()?; Ok(()) } diff --git a/src/cli.rs b/src/cli.rs index dcf6c0f..2bec58b 100644 --- a/src/cli.rs +++ b/src/cli.rs @@ -40,6 +40,8 @@ pub enum Commands { /// Number of q values #[clap(long, default_value = "100")] nq: usize, + #[clap(flatten)] + solvent: SolventArgs, }, /// Scattering intensity using discrete q vectors Direct { @@ -75,7 +77,7 @@ pub enum Commands { }, } -/// Solvent correction parameters shared by Multipole and Direct. +/// Solvent correction parameters shared by Debye, Multipole, and Direct. #[derive(Debug, Clone, clap::Args)] pub struct SolventArgs { /// Excluded-volume model @@ -254,6 +256,25 @@ pub fn do_main() -> Result<()> { let solvent = solvent.unwrap_or_default(); match scheme { + IntensityScheme::Debye { + qmin: _, + qmax: _, + nq, + } => { + let model = pripps.debye_model(&args.input, 0.0, exp.q_max(), nq, &solvent)?; + let result = crate::fit::fit_parameters(&exp, |c1, c2| model.intensity(c1, c2))?; + let out = model.intensity(result.volume_scale, result.contrast_density); + crate::fit::write_fit_csv(&args.output, &exp, &out, result.scale)?; + } + IntensityScheme::Direct { pmax } => { + let box_sides = box_override.ok_or_else(|| { + crate::Error::usage("direct fitting requires box side lengths") + })?; + let model = pripps.direct_model(&args.input, pmax, box_sides, &solvent)?; + let result = crate::fit::fit_parameters(&exp, |c1, c2| model.intensity(c1, c2))?; + let out = model.intensity(result.volume_scale, result.contrast_density); + crate::fit::write_fit_csv(&args.output, &exp, &out, result.scale)?; + } IntensityScheme::Multipole { qmin: _, qmax: _, @@ -266,11 +287,6 @@ pub fn do_main() -> Result<()> { let out = model.intensity(result.volume_scale, result.contrast_density); crate::fit::write_fit_csv(&args.output, &exp, &out, result.scale)?; } - _ => { - return Err(crate::Error::usage( - "fitting is currently only supported by the Multipole scheme", - )); - } }; } else { // Normal mode: compute I(q) and write output @@ -290,15 +306,21 @@ pub fn do_main() -> Result<()> { /// Translate parsed CLI arguments into an [`IntensityScheme`], an /// optional explicit box override (used by `Direct`), and an optional -/// [`SolventConfig`] (only produced by `Multipole` when an excluded or -/// hydration model is selected). +/// [`SolventConfig`] when an excluded-volume or hydration model is selected. fn command_to_scheme( command: Commands, ) -> Result<(IntensityScheme, Option<[f64; 3]>, Option)> { match command { - Commands::Debye { qmin, qmax, nq } => { - Ok((IntensityScheme::Debye { qmin, qmax, nq }, None, None)) - } + Commands::Debye { + qmin, + qmax, + nq, + solvent, + } => Ok(( + IntensityScheme::Debye { qmin, qmax, nq }, + None, + solvent.to_config()?, + )), Commands::Direct { pmax, side_length, diff --git a/src/debye.rs b/src/debye.rs index 8d258e0..0cba383 100644 --- a/src/debye.rs +++ b/src/debye.rs @@ -4,10 +4,13 @@ // you may not use this file except in compliance with the license. use crate::q_sampler::QSampler; +use crate::solvent::SolventConfig; use crate::{ - Intensity, IntensityCalculator, Result, Structure, Vector3, + Contributions, Intensity, IntensityCalculator, Result, Structure, Vector3, formfactor::{self, FormFactorMap}, }; +use itertools::Itertools; +use rayon::prelude::*; /// Returns sinc(x) = sin(x)/x with graceful handling of x -> 0 #[inline] @@ -22,16 +25,28 @@ pub fn sinc(x: f64) -> f64 { pub(crate) struct DebyeIntensity { sampler: QSampler, + solvent: Option, } impl DebyeIntensity { + #[cfg(test)] pub(crate) fn new( formfactors: FormFactorMap, q_minmax: (f64, f64), num_q: usize, + ) -> Result { + Self::new_with_solvent(formfactors, q_minmax, num_q, None) + } + + pub(crate) fn new_with_solvent( + formfactors: FormFactorMap, + q_minmax: (f64, f64), + num_q: usize, + solvent: Option, ) -> Result { Ok(Self { sampler: QSampler::linear(formfactors, q_minmax.0, q_minmax.1, num_q), + solvent, }) } } @@ -39,9 +54,142 @@ impl DebyeIntensity { impl IntensityCalculator for DebyeIntensity { /// Calculate I(q) over a range of q values using the Debye formula fn calc_intensities(&self, structure: &Structure) -> Result { - self.sampler.run_parallel(|q| { - intensity_at_q(&structure.ids, &structure.pos, &self.sampler.formfactors, q) + match self.solvent.as_ref().filter(|cfg| cfg.is_active()) { + None => self.sampler.run_parallel(|q| { + intensity_at_q(&structure.ids, &structure.pos, &self.sampler.formfactors, q) + }), + Some(cfg) => { + let model = build_model(&self.sampler, structure, cfg)?; + Ok(model.intensity( + cfg.excluded.volume_scale(), + cfg.hydration.contrast_density(), + )) + } + } + } +} + +/// Precompute Debye pair sums for atoms, excluded volume, and hydration. +/// +/// Unlike the vacuum Debye path, fitting needs repeated evaluations at +/// different `(volume_scale, contrast_density)`. The full Debye sum is +/// quadratic in those two scalar knobs, so caching the three self terms +/// and three cross terms per q makes refits cheap. +pub(crate) fn build_model( + sampler: &QSampler, + structure: &Structure, + cfg: &SolventConfig, +) -> Result { + let excluded_dummies = cfg.excluded.unit_scale_dummies( + structure, + &sampler.formfactors, + cfg.bulk_electron_density, + )?; + let hydration_dummies = cfg.hydration.dummies(structure, &sampler.formfactors)?; + + let terms = sampler + .q_values + .par_iter() + .map(|&q| { + let atom_ff = formfactor::formfactor_by_index(&sampler.formfactors, q, &structure.ids)?; + + let mut excluded_ff = Vec::new(); + excluded_dummies.form_factors_at(q, &mut excluded_ff)?; + + let mut hydration_ff = Vec::new(); + hydration_dummies.form_factors_at(q, &mut hydration_ff)?; + + let atom_ff = atom_ff.as_slice(); + Ok(DebyeTerms { + atoms: self_intensity_at_q(&structure.pos, atom_ff, q), + excluded: self_intensity_at_q(excluded_dummies.positions(), &excluded_ff, q), + hydration: self_intensity_at_q(hydration_dummies.positions(), &hydration_ff, q), + atom_excluded: cross_intensity_at_q( + &structure.pos, + atom_ff, + excluded_dummies.positions(), + &excluded_ff, + q, + ), + atom_hydration: cross_intensity_at_q( + &structure.pos, + atom_ff, + hydration_dummies.positions(), + &hydration_ff, + q, + ), + excluded_hydration: cross_intensity_at_q( + excluded_dummies.positions(), + &excluded_ff, + hydration_dummies.positions(), + &hydration_ff, + q, + ), + }) }) + .collect::>>()?; + + Ok(DebyeModel { + q_values: sampler.q_values.clone(), + terms, + }) +} + +/// Cached Debye state for solvent fitting. +pub struct DebyeModel { + q_values: Vec, + terms: Vec, +} + +impl DebyeModel { + /// Compute `I(q)` for the given solvent fit knobs. + pub fn intensity(&self, volume_scale: f64, contrast_density: f64) -> Intensity { + let per_q: Vec<(f64, f64, f64, f64)> = self + .terms + .iter() + .map(|terms| { + let total = terms.combine(volume_scale, contrast_density); + (total, terms.atoms, terms.excluded, terms.hydration) + }) + .collect(); + let (total, atoms, excluded, hydration): (Vec<_>, Vec<_>, Vec<_>, Vec<_>) = + per_q.into_iter().multiunzip(); + + Intensity { + q: self.q_values.clone(), + total, + contributions: Some(Contributions { + atoms, + excluded, + hydration, + }), + } + } + + /// The q grid the fit was prepared over. + pub fn q_values(&self) -> &[f64] { + &self.q_values + } +} + +#[derive(Debug, Clone, Copy, Default)] +struct DebyeTerms { + atoms: f64, + excluded: f64, + hydration: f64, + atom_excluded: f64, + atom_hydration: f64, + excluded_hydration: f64, +} + +impl DebyeTerms { + fn combine(self, volume_scale: f64, contrast_density: f64) -> f64 { + self.atoms + + volume_scale * volume_scale * self.excluded + + contrast_density * contrast_density * self.hydration + - 2.0 * volume_scale * self.atom_excluded + + 2.0 * contrast_density * self.atom_hydration + - 2.0 * volume_scale * contrast_density * self.excluded_hydration } } @@ -58,24 +206,44 @@ fn intensity_at_q( // TODO: Optimize by storing in static table, see std::sync::OnceLock let ff = formfactor::formfactor_by_index(formfactors, q, atom_ids)?; - let n = ff.len(); - let ff = ff.as_slice(); + Ok(self_intensity_at_q(positions, ff.as_slice(), q)) +} - // Compute I(q) = Σ_i f_i² + 2 Σ_{i f64 { + let n = form_factors.len(); + let diagonal: f64 = form_factors.iter().map(|f| f * f).sum(); if n < 2 { - return Ok(diagonal); + return diagonal; } let mut off_diagonal = 0.0; for i in 0..n - 1 { - let fi = ff[i]; + let fi = form_factors[i]; let pi = &positions[i]; for j in i + 1..n { let r = (pi - positions[j]).norm(); - off_diagonal += fi * ff[j] * sinc(q * r); + off_diagonal += fi * form_factors[j] * sinc(q * r); } } - Ok(2.0f64.mul_add(off_diagonal, diagonal)) + 2.0f64.mul_add(off_diagonal, diagonal) +} + +/// Cross Debye sum between two disjoint scatterer groups: +/// Σ_i∈a Σ_j∈b f_i f_j sinc(q r_ij). +fn cross_intensity_at_q( + a_positions: &[Vector3], + a_form_factors: &[f64], + b_positions: &[Vector3], + b_form_factors: &[f64], + q: f64, +) -> f64 { + let mut total = 0.0; + for (pa, &fa) in a_positions.iter().zip(a_form_factors) { + for (pb, &fb) in b_positions.iter().zip(b_form_factors) { + total += fa * fb * sinc(q * (pa - pb).norm()); + } + } + total } diff --git a/src/explicit.rs b/src/explicit.rs index 6cfecbb..9d46e6a 100644 --- a/src/explicit.rs +++ b/src/explicit.rs @@ -92,10 +92,7 @@ impl DirectTransform { p_max: usize, solvent: Option, ) -> Self { - let directions: Vec<_> = MILLER_INDEX - .iter() - .flat_map(|dir| (1..=p_max).map(move |p| 2.0 * PI * p as f64 * dir)) - .collect(); + let directions = directions(p_max); log::info!( "Generated {} q-vectors with p_max = {}", @@ -136,68 +133,116 @@ impl DirectTransform { box_sides: &Vector3, cfg: &SolventConfig, ) -> Result { - let excluded_dummies = - cfg.excluded - .dummies(structure, &self.formfactors, cfg.bulk_electron_density)?; - let hydration_dummies = cfg.hydration.dummies(structure, &self.formfactors)?; + let model = build_model( + &self.formfactors, + &self.directions, + structure, + box_sides, + cfg, + )?; + Ok(model.intensity( + cfg.excluded.volume_scale(), + cfg.hydration.contrast_density(), + )) + } +} - let volume_scale = cfg.excluded.volume_scale(); - let contrast_density = cfg.hydration.contrast_density(); +pub(crate) fn directions(p_max: usize) -> Vec { + MILLER_INDEX + .iter() + .flat_map(|dir| (1..=p_max).map(move |p| 2.0 * PI * p as f64 * dir)) + .collect() +} - // Per q-vector: compute three amplitudes A, C, B and combine - // as |A − c₁·C + c₂·B|² - let table = self - .directions - .par_iter() - .map(|dir| dir.component_div(box_sides)) - .map(|q| { - let qnorm = q.norm(); +/// Precompute the atomic, excluded-volume, and hydration amplitudes +/// for every explicit q-vector. The cached q-vector rows are combined +/// and only then averaged by q magnitude, matching the one-shot +/// [`DirectTransform`] path. +pub(crate) fn build_model( + formfactors: &FormFactorMap, + directions: &[Vector3], + structure: &Structure, + box_sides: &Vector3, + cfg: &SolventConfig, +) -> Result { + let excluded_dummies = + cfg.excluded + .unit_scale_dummies(structure, formfactors, cfg.bulk_electron_density)?; + let hydration_dummies = cfg.hydration.dummies(structure, formfactors)?; - let atom_ff = eval_atom_form_factors(qnorm, &structure.ids, &self.formfactors)?; - let a = complex_amplitude(&q, &structure.pos, &atom_ff); + let rows = directions + .par_iter() + .map(|dir| dir.component_div(box_sides)) + .map(|q| { + let qnorm = q.norm(); - let mut ev_ff = Vec::new(); - excluded_dummies.form_factors_at(qnorm, &mut ev_ff)?; - let c = complex_amplitude(&q, excluded_dummies.positions(), &ev_ff); + let atom_ff = eval_atom_form_factors(qnorm, &structure.ids, formfactors)?; + let atoms = complex_amplitude(&q, &structure.pos, &atom_ff); - let mut hyd_ff = Vec::new(); - hydration_dummies.form_factors_at(qnorm, &mut hyd_ff)?; - let b = complex_amplitude(&q, hydration_dummies.positions(), &hyd_ff); + let mut excluded_ff = Vec::new(); + excluded_dummies.form_factors_at(qnorm, &mut excluded_ff)?; + let excluded = complex_amplitude(&q, excluded_dummies.positions(), &excluded_ff); - let total = (a - volume_scale * c + contrast_density * b).norm_sqr(); - Ok((qnorm, total, a.norm_sqr(), c.norm_sqr(), b.norm_sqr())) - }) - .collect::>>()?; - - // Average duplicate q-norms (from different Miller directions) - let mut grouped = average_duplicates_5col(table); - grouped.sort_by(|a, b| a.0.partial_cmp(&b.0).unwrap_or(Ordering::Equal)); - - let mut q = Vec::with_capacity(grouped.len()); - let mut total = Vec::with_capacity(grouped.len()); - let mut atoms = Vec::with_capacity(grouped.len()); - let mut excluded = Vec::with_capacity(grouped.len()); - let mut hydration = Vec::with_capacity(grouped.len()); - for (qi, t, a, e, h) in grouped { - q.push(qi); - total.push(t); - atoms.push(a); - excluded.push(e); - hydration.push(h); - } + let mut hydration_ff = Vec::new(); + hydration_dummies.form_factors_at(qnorm, &mut hydration_ff)?; + let hydration = complex_amplitude(&q, hydration_dummies.positions(), &hydration_ff); - Ok(Intensity { - q, - total, - contributions: Some(Contributions { + Ok(DirectTerms { + qnorm, atoms, excluded, hydration, - }), + }) }) + .collect::>>()?; + + let q_values = unique_q_values(&rows); + Ok(DirectModel { q_values, rows }) +} + +/// Cached explicit-transform state for solvent fitting. +pub struct DirectModel { + q_values: Vec, + rows: Vec, +} + +impl DirectModel { + /// Compute `I(q)` for the given solvent fit knobs. + pub fn intensity(&self, volume_scale: f64, contrast_density: f64) -> Intensity { + let table = self + .rows + .iter() + .map(|row| { + let total = (row.atoms - volume_scale * row.excluded + + contrast_density * row.hydration) + .norm_sqr(); + ( + row.qnorm, + total, + row.atoms.norm_sqr(), + row.excluded.norm_sqr(), + row.hydration.norm_sqr(), + ) + }) + .collect(); + + intensity_from_5col(table) + } + + /// The q grid the fit was prepared over after duplicate q-norms are averaged. + pub fn q_values(&self) -> &[f64] { + &self.q_values } } +#[derive(Debug, Clone, Copy)] +struct DirectTerms { + qnorm: f64, + atoms: Complex, + excluded: Complex, + hydration: Complex, +} + /// Evaluate form factors for each atom at a given q. fn eval_atom_form_factors( q: f64, @@ -247,6 +292,41 @@ fn average_duplicates_5col(data: Vec<(f64, f64, f64, f64, f64)>) -> Vec<(f64, f6 .collect() } +fn intensity_from_5col(table: Vec<(f64, f64, f64, f64, f64)>) -> Intensity { + let mut grouped = average_duplicates_5col(table); + grouped.sort_by(|a, b| a.0.partial_cmp(&b.0).unwrap_or(Ordering::Equal)); + + let mut q = Vec::with_capacity(grouped.len()); + let mut total = Vec::with_capacity(grouped.len()); + let mut atoms = Vec::with_capacity(grouped.len()); + let mut excluded = Vec::with_capacity(grouped.len()); + let mut hydration = Vec::with_capacity(grouped.len()); + for (qi, t, a, e, h) in grouped { + q.push(qi); + total.push(t); + atoms.push(a); + excluded.push(e); + hydration.push(h); + } + + Intensity { + q, + total, + contributions: Some(Contributions { + atoms, + excluded, + hydration, + }), + } +} + +fn unique_q_values(rows: &[DirectTerms]) -> Vec { + average_duplicates(rows.iter().map(|row| (row.qnorm, 0.0)).collect()) + .into_iter() + .map(|(q, _)| q) + .collect() +} + #[cfg(test)] mod tests { use super::*; diff --git a/src/lib.rs b/src/lib.rs index cfc1983..bbcfc93 100644 --- a/src/lib.rs +++ b/src/lib.rs @@ -28,7 +28,9 @@ use structure::Structure; use trajectory::trajectory_average; pub use atomkind::{AtomKind, FindByName}; +pub use debye::DebyeModel; pub use error::{Error, Result}; +pub use explicit::DirectModel; pub use formfactor::{FormFactor, FormFactorMap, read_formfactors, write_formfactors}; pub use multipole::MultipoleModel; pub use solvent::{ExcludedVolume, Hydration, SolventConfig}; @@ -45,9 +47,9 @@ pub(crate) type Vector3 = nalgebra::Vector3; /// zero-copy `ndarray` view. All pripps calculators return this type; /// callers typically iterate via `.q.iter().zip(&curve.total)`. /// -/// `contributions` is populated when Multipole runs with an active -/// [`SolventConfig`], carrying the per-contribution diagnostic -/// columns. It is `None` for vacuum Multipole, Debye, and Direct. +/// `contributions` is populated when Debye, Multipole, or Direct runs +/// with an active [`SolventConfig`], carrying the per-contribution +/// diagnostic columns. It is `None` for vacuum calculations. #[derive(Debug, Clone, Default, PartialEq)] pub struct Intensity { pub q: Vec, @@ -185,6 +187,57 @@ impl Pripps { multipole::build_model(&sampler, &structure, &atoms_basis, solvent, &l_max_per_q) } + /// Prepare a stateful Debye fit. Caches the exact per-q Debye + /// self and cross terms for atoms, excluded volume, and hydration + /// so repeated calls to [`DebyeModel::intensity`] only recombine + /// the cached terms with different `(volume_scale, contrast_density)`. + pub fn debye_model( + &self, + structure_file: &path::Path, + qmin: f64, + qmax: f64, + nq: usize, + solvent: &SolventConfig, + ) -> Result { + let structure = Structure::from_file(structure_file, &self.atomkinds())?; + let sampler = q_sampler::QSampler::linear(self.formfactors.clone(), qmin, qmax, nq); + log::info!( + "Debye fit preparation over {} atoms, {} q-points", + structure.pos.len(), + sampler.q_values.len(), + ); + debye::build_model(&sampler, &structure, solvent) + } + + /// Prepare a stateful direct/explicit fit. Caches the complex + /// amplitudes for atoms, excluded volume, and hydration at every + /// sampled q-vector so repeated calls to [`DirectModel::intensity`] + /// only recombine the cached amplitudes with different + /// `(volume_scale, contrast_density)`. + pub fn direct_model( + &self, + structure_file: &path::Path, + pmax: usize, + box_sides: [f64; 3], + solvent: &SolventConfig, + ) -> Result { + let structure = Structure::from_file(structure_file, &self.atomkinds())?; + let directions = explicit::directions(pmax); + let box_sides = Vector3::from(box_sides); + log::info!( + "Direct fit preparation over {} atoms, {} q-vectors", + structure.pos.len(), + directions.len(), + ); + explicit::build_model( + &self.formfactors, + &directions, + &structure, + &box_sides, + solvent, + ) + } + /// Compute I(q) for a structure under the given [`IntensityScheme`]. /// /// When `xtcfile` is `Some`, the structure is used as a template (for @@ -215,19 +268,15 @@ impl Pripps { } let active_solvent = solvent.filter(|cfg| cfg.is_active()); - if active_solvent.is_some() && matches!(scheme, IntensityScheme::Debye { .. }) { - return Err(Error::usage( - "solvent correction is not supported by the Debye scheme", - )); - } let calc: Box = match scheme { IntensityScheme::Debye { qmin, qmax, nq } => { log::info!("Using Debye formula to calculate 𝐼(𝑞) for {qmin} ≤ 𝑞 ≤ {qmax} Å⁻¹"); - Box::new(DebyeIntensity::new( + Box::new(DebyeIntensity::new_with_solvent( self.formfactors.clone(), (qmin, qmax), nq, + active_solvent.cloned(), )?) } IntensityScheme::Direct { pmax } => { @@ -271,40 +320,146 @@ mod tests { use super::*; #[test] - fn debye_rejects_active_solvent() { - let yaml = r"C: { formfactor: !Constant 1.0 }"; - let path = std::env::temp_dir().join("pripps_debye_reject.yaml"); - std::fs::write(&path, yaml).unwrap(); - let pripps = Pripps::from_yaml(&path).unwrap(); - - let pdb = std::env::temp_dir().join("pripps_debye_reject.pdb"); - std::fs::write( - &pdb, - "HEADER test\n\ - ATOM 1 C ALA A 1 0.000 0.000 0.000 1.00 0.00 C\n\ - END\n", - ) - .unwrap(); - + fn debye_solvent_matches_cached_model_for_matching_knobs() { + let (pripps, xyz) = yaml_and_xyz(); let solvent = SolventConfig { excluded: ExcludedVolume::Fraser { volume_scale: 1.0 }, + hydration: Hydration::Sasa { + probe: 1.8, + contrast_density: 0.03, + }, ..Default::default() }; - let err = pripps + let one_shot = pripps .intensity( IntensityScheme::Debye { qmin: 0.0, - qmax: 0.1, - nq: 3, + qmax: 0.3, + nq: 20, }, - &pdb, + &xyz, None, None, None, Some(&solvent), ) - .unwrap_err(); - assert!(matches!(err, Error::Usage(_))); + .unwrap(); + + let fit = pripps.debye_model(&xyz, 0.0, 0.3, 20, &solvent).unwrap(); + let from_fit = fit.intensity(1.0, 0.03); + + assert_eq!(one_shot.total, from_fit.total); + assert_eq!(one_shot.contributions, from_fit.contributions); + } + + #[test] + fn direct_solvent_matches_cached_model_for_matching_knobs() { + let (pripps, xyz) = yaml_and_xyz(); + let solvent = SolventConfig { + excluded: ExcludedVolume::Fraser { volume_scale: 1.0 }, + hydration: Hydration::Sasa { + probe: 1.8, + contrast_density: 0.03, + }, + ..Default::default() + }; + let box_sides = [200.0; 3]; + let one_shot = pripps + .intensity( + IntensityScheme::Direct { pmax: 2 }, + &xyz, + None, + None, + Some(box_sides), + Some(&solvent), + ) + .unwrap(); + + let fit = pripps.direct_model(&xyz, 2, box_sides, &solvent).unwrap(); + let from_fit = fit.intensity(1.0, 0.03); + + assert_eq!(one_shot.total, from_fit.total); + assert_eq!(one_shot.contributions, from_fit.contributions); + } + + #[test] + fn fraser_volume_scale_is_not_applied_twice() { + let (pripps, xyz) = yaml_and_xyz(); + let scale = 1.7; + let unit_solvent = SolventConfig { + excluded: ExcludedVolume::Fraser { volume_scale: 1.0 }, + ..Default::default() + }; + let scaled_solvent = SolventConfig { + excluded: ExcludedVolume::Fraser { + volume_scale: scale, + }, + ..Default::default() + }; + + let debye_one_shot = pripps + .intensity( + IntensityScheme::Debye { + qmin: 0.0, + qmax: 0.2, + nq: 8, + }, + &xyz, + None, + None, + None, + Some(&scaled_solvent), + ) + .unwrap(); + let debye_model = pripps + .debye_model(&xyz, 0.0, 0.2, 8, &unit_solvent) + .unwrap(); + assert_eq!( + debye_one_shot.total, + debye_model.intensity(scale, 0.0).total + ); + + let direct_box = [200.0; 3]; + let direct_one_shot = pripps + .intensity( + IntensityScheme::Direct { pmax: 2 }, + &xyz, + None, + None, + Some(direct_box), + Some(&scaled_solvent), + ) + .unwrap(); + let direct_model = pripps + .direct_model(&xyz, 2, direct_box, &unit_solvent) + .unwrap(); + assert_eq!( + direct_one_shot.total, + direct_model.intensity(scale, 0.0).total + ); + + let multipole_one_shot = pripps + .intensity( + IntensityScheme::Multipole { + qmin: 0.0, + qmax: 0.2, + nq: Some(8), + l_max: None, + }, + &xyz, + None, + None, + None, + Some(&scaled_solvent), + ) + .unwrap(); + let multipole_model = pripps + .multipole_model(&xyz, 0.0, 0.2, Some(8), None, &unit_solvent) + .unwrap(); + assert_eq!( + multipole_one_shot.total, + multipole_model.intensity(scale, 0.0).total + ); } fn yaml_and_xyz() -> (Pripps, std::path::PathBuf) { diff --git a/src/multipole/mod.rs b/src/multipole/mod.rs index af66c2c..e0cae85 100644 --- a/src/multipole/mod.rs +++ b/src/multipole/mod.rs @@ -380,9 +380,11 @@ pub(crate) fn build_model( l_max_per_q: &[usize], ) -> Result { let l_max = atoms_basis.l_max; - let excluded_dummies = - cfg.excluded - .dummies(structure, &sampler.formfactors, cfg.bulk_electron_density)?; + let excluded_dummies = cfg.excluded.unit_scale_dummies( + structure, + &sampler.formfactors, + cfg.bulk_electron_density, + )?; let hydration_dummies = cfg.hydration.dummies(structure, &sampler.formfactors)?; let excluded_basis = SphericalBasis::new(excluded_dummies.positions(), l_max); diff --git a/src/solvent/mod.rs b/src/solvent/mod.rs index 2a68d6e..751c456 100644 --- a/src/solvent/mod.rs +++ b/src/solvent/mod.rs @@ -357,6 +357,33 @@ impl DummySet { } impl ExcludedVolume { + /// Generate excluded-volume dummies for cached solvent models. + /// + /// Cached Debye/Direct/Multipole models apply `volume_scale` during + /// the coherent recombination step. Fraser/FoXS dummy generation can + /// also bake that scale into the Gaussian form factors, so cached + /// builders must force the dummy basis to unit scale to avoid applying + /// the same fit knob twice. + pub(crate) fn unit_scale_dummies( + &self, + structure: &Structure, + formfactors: &FormFactorMap, + bulk_electron_density: f64, + ) -> Result { + match self { + Self::Disabled => Self::Disabled, + Self::Fraser { .. } => Self::Fraser { volume_scale: 1.0 }, + Self::FraserFoxs { .. } => Self::FraserFoxs { volume_scale: 1.0 }, + Self::Grid { spacing, .. } => Self::Grid { + spacing: *spacing, + volume_scale: 1.0, + }, + Self::Voronoi { .. } => Self::Voronoi { volume_scale: 1.0 }, + Self::Polynomial { .. } => Self::Polynomial { volume_scale: 1.0 }, + } + .dummies(structure, formfactors, bulk_electron_density) + } + pub(crate) fn dummies( &self, structure: &Structure, From 0b76be918092081cd27a87e11014324941c6d5d8 Mon Sep 17 00:00:00 2001 From: IVinterbladh Date: Tue, 16 Jun 2026 10:04:11 +0200 Subject: [PATCH 12/22] added some tests and removed unused lyzosyme test files --- src/lib.rs | 139 +++++++++++++++++++++++++++++++++++- tests/lysozyme/4lzt.weights | 2 - tests/lysozyme/plot.ipynb | 124 -------------------------------- 3 files changed, 136 insertions(+), 129 deletions(-) delete mode 100644 tests/lysozyme/4lzt.weights delete mode 100644 tests/lysozyme/plot.ipynb diff --git a/src/lib.rs b/src/lib.rs index bbcfc93..7b0c2be 100644 --- a/src/lib.rs +++ b/src/lib.rs @@ -561,15 +561,94 @@ mod tests { fit::ExpData::from_file(std::path::Path::new("tests/lysozyme/lyzexp.dat")).unwrap() } + fn pepsi_intensity_scale(path: &std::path::Path) -> f64 { + let contents = std::fs::read_to_string(path).unwrap(); + contents + .lines() + .find(|line| line.contains("Intensity scaling")) + .and_then(|line| line.split_whitespace().last()) + .and_then(|value| value.parse().ok()) + .unwrap_or_else(|| panic!("missing intensity scaling in {}", path.display())) + } + + fn pepsi_unscaled_iat_profile(path: &std::path::Path, scale: f64) -> Vec<(f64, f64)> { + let contents = std::fs::read_to_string(path).unwrap(); + contents + .lines() + .filter(|line| { + let trimmed = line.trim(); + !trimmed.is_empty() && !trimmed.starts_with('#') + }) + .map(|line| { + let fields: Vec<_> = line.split_whitespace().collect(); + assert!( + fields.len() >= 3, + "expected at least three PEPSI output columns in {line:?}" + ); + let q = fields[0].parse::().unwrap(); + let iat = fields[2].parse::().unwrap() / scale; + (q, iat) + }) + .collect() + } + + #[test] + fn amino_acid_debye_matches_scaled_pepsi_iat_profile() { + let scale = pepsi_intensity_scale(std::path::Path::new("tests/lysozyme/pepsi.log")); + let reference = + pepsi_unscaled_iat_profile(std::path::Path::new("tests/lysozyme/pepsi.out"), scale); + let (pripps, xyz) = yaml_and_xyz(); + let intensity = pripps + .intensity( + IntensityScheme::Debye { + qmin: reference.first().unwrap().0, + qmax: reference.last().unwrap().0, + nq: reference.len(), + }, + &xyz, + None, + None, + None, + None, + ) + .unwrap(); + + assert_eq!(intensity.q.len(), reference.len()); + + let mut max_rel = 0.0_f64; + let mut max_q = 0.0_f64; + for ((&q, &calc), &(q_ref, expected)) in intensity + .q + .iter() + .zip(&intensity.total) + .zip(reference.iter()) + { + assert!( + (q - q_ref).abs() < 1.0e-12, + "q grid mismatch: calculated {q}, reference {q_ref}" + ); + let rel = ((calc - expected) / expected).abs(); + if rel > max_rel { + max_rel = rel; + max_q = q_ref; + } + } + + assert!( + max_rel < 0.04, + "PEPSI Iat profile differs by {max_rel:.4} at q={max_q:.3}" + ); + } + #[test] fn foxs_chi2_against_experiment() { - // FoXS gets χ²/N ≈ 0.29 on 6lyz.pdb vs lyzexp.dat with + // FoXS gets χ²/N ≈ 0.29 on 4lzt.pdb vs lyzexp.dat with // excluded volume only (no hydration, c₁=1). With the // FoXS-compatible Cromer-Mann form factors and the 16π // Fraser formula, pripps should match. let pripps = Pripps::from_yaml(std::path::Path::new("assets/foxs_formfactors.yaml")).unwrap(); - let pdb = std::path::PathBuf::from("tests/lysozyme/6lyz.pdb"); + let pdb = std::path::PathBuf::from("tests/lysozyme/4lzt.pdb"); let solvent = SolventConfig { excluded: ExcludedVolume::FraserFoxs { volume_scale: 1.0 }, ..Default::default() @@ -600,6 +679,60 @@ mod tests { ); } + #[test] + fn foxs_profile_matches_reference_file() { + let reference = + fit::ExpData::from_file(std::path::Path::new("tests/lysozyme/6lyz_foxs.dat")).unwrap(); + let pripps = + Pripps::from_yaml(std::path::Path::new("assets/foxs_formfactors.yaml")).unwrap(); + let pdb = std::path::PathBuf::from("tests/lysozyme/6lyz.pdb"); + let solvent = SolventConfig { + excluded: ExcludedVolume::FraserFoxs { volume_scale: 1.0 }, + ..Default::default() + }; + let intensity = pripps + .intensity( + IntensityScheme::Multipole { + qmin: *reference.q.first().unwrap(), + qmax: *reference.q.last().unwrap(), + nq: Some(reference.q.len()), + l_max: None, + }, + &pdb, + None, + None, + None, + Some(&solvent), + ) + .unwrap(); + + assert_eq!(intensity.q.len(), reference.q.len()); + + let mut max_rel = 0.0_f64; + let mut max_q = 0.0_f64; + for ((&q, &calc), (&q_ref, &expected)) in intensity + .q + .iter() + .zip(&intensity.total) + .zip(reference.q.iter().zip(&reference.intensity)) + { + assert!( + (q - q_ref).abs() < 1.0e-12, + "q grid mismatch: calculated {q}, reference {q_ref}" + ); + let rel = ((calc - expected) / expected).abs(); + if rel > max_rel { + max_rel = rel; + max_q = q_ref; + } + } + + assert!( + max_rel < 0.05, + "FoXS reference profile differs by {max_rel:.4} at q={max_q:.3}" + ); + } + #[test] fn pepsi_pipeline_reasonable_chi2() { // PepsiSAXS form factors + PepsiSAXS Fraser (4π) should @@ -607,7 +740,7 @@ mod tests { // the FoXS pipeline (different coefficients, different // denominator) but the shape should be plausible. let pripps = Pripps::from_yaml(std::path::Path::new("assets/gaussian_atoms.yaml")).unwrap(); - let pdb = std::path::PathBuf::from("tests/lysozyme/6lyz.pdb"); + let pdb = std::path::PathBuf::from("tests/lysozyme/4lzt.pdb"); let solvent = SolventConfig { excluded: ExcludedVolume::Fraser { volume_scale: 1.0 }, ..Default::default() diff --git a/tests/lysozyme/4lzt.weights b/tests/lysozyme/4lzt.weights deleted file mode 100644 index 7d1b2ad..0000000 --- a/tests/lysozyme/4lzt.weights +++ /dev/null @@ -1,2 +0,0 @@ -0.2 -1.0 diff --git a/tests/lysozyme/plot.ipynb b/tests/lysozyme/plot.ipynb deleted file mode 100644 index a0a26d1..0000000 --- a/tests/lysozyme/plot.ipynb +++ /dev/null @@ -1,124 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "b55cc4d0-742a-4eba-91a0-202580b8974f", - "metadata": {}, - "outputs": [], - "source": [ - "%matplotlib inline\n", - "import matplotlib\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "794f97c9-950b-4c68-887c-3a65354a821a", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Pepsi (AA)\n", - "scaling = 3.34523e-09 # \"Intensity Scaling\" from pepsi.log file\n", - "q, Itotal, Iatomic, Iexcluded, Ihydration, AatAev, AatAhs, AevAhs = np.loadtxt(\n", - " \"pepsi.out\", unpack=True\n", - ")\n", - "plt.plot(q, Itotal / scaling, label=\"Pepsi (AA)\", lw=3)\n", - "\n", - "# Pripps (CG)\n", - "q, I = np.loadtxt(\"intensity_cg.dat\", unpack=True)\n", - "plt.plot(q, I, label=\"Pripps (CG, no solvation)\", lw=3)\n", - "\n", - "# Experiment\n", - "q, I, b = np.loadtxt(\"SASDMF2.dat\", unpack=True)\n", - "plt.plot(q, I * 0.7e5, \"k-\", label=\"Experiment (SASDMF2)\", alpha=0.5)\n", - "\n", - "# Plot details\n", - "plt.title(\"Calculated and measured formfactor for Lysozyme\")\n", - "plt.yscale(\"log\")\n", - "plt.legend(loc=0, frameon=False)\n", - "plt.xlim(0, 0.75)\n", - "plt.xlabel(\"q (1/Å)\")\n", - "plt.ylabel(\"Intensity\")\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "05e8a70d-4768-4835-9fd2-acdc0c8d445f", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Pepsi (AA)\n", - "q, Itotal, Iatomic, Iexcluded, Ihydration, AatAev, AatAhs, AevAhs = np.loadtxt(\n", - " \"pepsi.out\", unpack=True\n", - ")\n", - "plt.plot(q, Itotal, label=\"total\", lw=5, alpha=0.5)\n", - "plt.plot(q, Iatomic, label=\"atomic\", lw=5, alpha=0.5)\n", - "plt.plot(q, Iexcluded, label=\"excluded\", lw=5, alpha=0.5)\n", - "plt.plot(q, Ihydration, label=\"hydration\", lw=5, alpha=0.5)\n", - "plt.yscale(\"log\")\n", - "plt.legend(loc=0, frameon=False)\n", - "plt.xlim(0, 0.5)\n", - "plt.xlabel(\"q (1/Å)\")\n", - "plt.ylabel(\"Intensity\")\n", - "plt.title(\"Pepsi contribitions (4LZT.pdb)\")\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "89b910e7-8ecf-4356-8f1d-4906ae143aa9", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.8" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} From 69a0d3d39639281548416acc26db78d404db3e3c Mon Sep 17 00:00:00 2001 From: IVinterbladh Date: Tue, 16 Jun 2026 14:27:25 +0200 Subject: [PATCH 13/22] updated example python notebooks added possibility to print number of hydration shell points from grid method --- README.md | 4 + pripps-py/examples/batch_sba_sasbdb.py | 10 +- ...sasbdb.ipynb => plotting_sba_sasbdb.ipynb} | 215 +++++++++++++----- .../testing_single-bead_approximation.ipynb | 54 ++--- pripps-py/src/lib.rs | 18 ++ pripps-py/tests/test_smoke.py | 3 + src/debye.rs | 11 +- src/explicit.rs | 16 +- src/multipole/mod.rs | 11 +- 9 files changed, 243 insertions(+), 99 deletions(-) rename pripps-py/examples/{testing_sasbdb.ipynb => plotting_sba_sasbdb.ipynb} (99%) diff --git a/README.md b/README.md index 586a652..ac50f65 100644 --- a/README.md +++ b/README.md @@ -52,6 +52,10 @@ The returned dict contains: | `excluded` | Excluded-volume contribution | | `hydration` | Hydration-shell contribution | +Prepared Python models also expose `model.grid_hydration_points`. +It is the number of Cartesian shell points used for `hydration="grid"` +and `None` for the other hydration models. + ### Fitting against experimental data `multipole_model` does the expensive per-structure setup once and diff --git a/pripps-py/examples/batch_sba_sasbdb.py b/pripps-py/examples/batch_sba_sasbdb.py index fc920d3..e4bb186 100644 --- a/pripps-py/examples/batch_sba_sasbdb.py +++ b/pripps-py/examples/batch_sba_sasbdb.py @@ -10,7 +10,7 @@ - atomfile: assets/poly_amino_acid.yaml (or poly_martini.yaml for Martini3) - excluded: polynomial using the atomfile's excluded_solvent entries - hydration: disabled - - optimizer: L-BFGS-B with bounds [(0.95, 1.12), (-2.0, 4.0)] or change + - optimizer: L-BFGS-B with bounds [(0.95, 1.12), (-2.0, 4.0)] or change them in the script """ from __future__ import annotations @@ -65,7 +65,7 @@ def fit_single( ) -> dict[str, float | np.ndarray]: q_exp, i_exp, sigma = load_exp_data(exp_path, qmax=qmax) - model = pr.multipole_model( + model = pr.debye_model( structure_file=str(xyz_path), qmin=0.0, qmax=qmax, @@ -76,7 +76,9 @@ def fit_single( probe=1.8, contrast_density=0.03, bulk_electron_density=0.334, + spacing = 3.8, ) + print(model.grid_hydration_points) def chi2(params: np.ndarray) -> float: c1, c2 = float(params[0]), float(params[1]) @@ -88,7 +90,7 @@ def chi2(params: np.ndarray) -> float: result = minimize( chi2, x0=[1.0, 0.2], - bounds=[(0.95, 1.12), (-2.0, 4.0)], + bounds=[(-2.0, 3.0), (-2.0, 4.0)], method="L-BFGS-B", ) @@ -136,7 +138,7 @@ def main() -> None: "--nq", type=int, default=500, - help="Number of q points in multipole model", + help="Number of q points in Debye model", ) parser.add_argument( "--only", diff --git a/pripps-py/examples/testing_sasbdb.ipynb b/pripps-py/examples/plotting_sba_sasbdb.ipynb similarity index 99% rename from pripps-py/examples/testing_sasbdb.ipynb rename to pripps-py/examples/plotting_sba_sasbdb.ipynb index 1aba7be..7bd7a12 100644 --- a/pripps-py/examples/testing_sasbdb.ipynb +++ b/pripps-py/examples/plotting_sba_sasbdb.ipynb @@ -2,9 +2,25 @@ "cells": [ { "cell_type": "markdown", - "id": "8cb2b278", + "id": "31ee4c36", "metadata": {}, - "source": [] + "source": [ + "# Plotting Single-Bead Approximation fits from SASBDB benchmark outputs\n", + "\n", + "This notebook collects and visualizes single-bead approximation (SBA) fits generated for SASBDB benchmark entries. It compares fitted scattering curves from different bead models, prepares selected publication-style panels, checks residuals, and summarizes chi-squared statistics for grid and Martini fits.\n", + "\n", + "The plotting code assumes that the benchmark cache lives at `../../sasbdb_bench/cache` and that each SASBDB entry has CSV files such as `sba_fit_grid.csv` and `sba_fit_martini.csv`." + ] + }, + { + "cell_type": "markdown", + "id": "27cb506c", + "metadata": {}, + "source": [ + "## Imports\n", + "\n", + "Load numerical, plotting, filesystem, and tabular-data utilities used throughout the notebook." + ] }, { "cell_type": "code", @@ -13,6 +29,7 @@ "metadata": {}, "outputs": [], "source": [ + "# Core scientific Python imports used by all plotting and summary cells.\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "from pathlib import Path\n", @@ -20,9 +37,19 @@ "import pandas as pd" ] }, + { + "cell_type": "markdown", + "id": "01a4bed8", + "metadata": {}, + "source": [ + "## Plot all Martini SBA fits\n", + "\n", + "Find every `sba_fit_martini.csv` file in the cache, read the numeric columns, and draw the experimental intensity columns together with the fitted Martini intensity `i_fit`. The result is saved as a multi-panel PDF for a quick benchmark-wide inspection." + ] + }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "abb487c6", "metadata": {}, "outputs": [ @@ -61,14 +88,15 @@ } ], "source": [ - "\n", - "\n", "base_dir = Path(\"../../sasbdb_bench/cache\")\n", + "\n", + "# Collect one Martini SBA fit file per benchmark entry.\n", "csv_files = sorted(base_dir.glob(\"*/sba_fit_martini.csv\"))\n", "\n", "if not csv_files:\n", " raise FileNotFoundError(f\"No matching files found under: {base_dir.resolve()}\")\n", "\n", + "# Build a two-column grid large enough for every available fit file.\n", "n = len(csv_files)\n", "ncols = 2\n", "nrows = math.ceil(n / ncols)\n", @@ -80,6 +108,8 @@ " df = pd.read_csv(csv_path)\n", " num_df = df.select_dtypes(include=[np.number])\n", " print(num_df.columns)\n", + "\n", + " # Skip files that do not contain enough numeric data for an x/y plot.\n", " if num_df.shape[1] < 2:\n", " ax.set_title(csv_path.parent.name)\n", " ax.text(0.5, 0.5, \"Not enough numeric columns to plot\", ha=\"center\", va=\"center\")\n", @@ -87,7 +117,9 @@ " continue\n", "\n", " x = num_df.iloc[:, 0]\n", - " for col in num_df.columns[1:-2]: # Exclude last two columns (i_fit and sigma)\n", + "\n", + " # Plot each experimental intensity column, then overlay the fitted curve.\n", + " for col in num_df.columns[1:-2]: # Exclude last two columns, typically i_fit and sigma.\n", " ax.plot(x, num_df[col], label=col)\n", " ax.plot(x, num_df[\"i_fit\"], label=\"i_fit\", linestyle=\"--\")\n", "\n", @@ -98,6 +130,7 @@ " ax.set_yscale(\"log\")\n", " ax.legend(fontsize=8)\n", "\n", + "# Hide unused subplot slots when the number of files is odd.\n", "for ax in axes[len(csv_files):]:\n", " ax.axis(\"off\")\n", "\n", @@ -106,6 +139,16 @@ "plt.show()" ] }, + { + "cell_type": "markdown", + "id": "21f0d83c", + "metadata": {}, + "source": [ + "## Compare Amino acid bead model and Martini bead model fits\n", + "\n", + "Select a small set of benchmark entries by index and plot experimental curves against both fitted models. The amino-acid bead fit comes from `sba_fit_grid.csv`, while the Martini bead fit comes from `sba_fit_martini.csv`. Panel labels are added for figure assembly." + ] + }, { "cell_type": "code", "execution_count": 12, @@ -140,13 +183,16 @@ ], "source": [ "base_dir = Path(\"../../sasbdb_bench/cache\")\n", + "\n", + "# Load the two fit types in the same sorted order so index-based selections align.\n", "csv_files = sorted(base_dir.glob(\"*/sba_fit_grid.csv\"))\n", "csv_files_martini = sorted(base_dir.glob(\"*/sba_fit_martini.csv\"))\n", "\n", "if not csv_files:\n", " raise FileNotFoundError(f\"No matching files found under: {base_dir.resolve()}\")\n", "\n", - "selected_indices = [ 2, 5, 12, -1] # change these to the files you want\n", + "# Choose representative entries for the comparison figure.\n", + "selected_indices = [2, 5, 12, -1]\n", "csv_files = [csv_files[i] for i in selected_indices]\n", "csv_files_martini = [csv_files_martini[i] for i in selected_indices]\n", "\n", @@ -165,6 +211,7 @@ " num_df_martini = df_martini.select_dtypes(include=[np.number])\n", " print(num_df.columns)\n", " print(num_df_martini.columns)\n", + "\n", " if num_df.shape[1] < 2:\n", " ax.set_title(csv_path.parent.name)\n", " ax.text(0.5, 0.5, \"Not enough numeric columns to plot\", ha=\"center\", va=\"center\")\n", @@ -172,16 +219,18 @@ " continue\n", "\n", " x = num_df.iloc[:, 0]\n", - " for col in num_df.columns[1:-2]: # Exclude last two columns (i_fit and sigma)\n", + "\n", + " # Draw all experimental intensity columns before adding model fits.\n", + " for col in num_df.columns[1:-2]: # Exclude last two columns, typically i_fit and sigma.\n", " ax.plot(x, num_df[col], label=\"Experiment\", alpha=0.5)\n", - " \n", + "\n", " ax.plot(x, num_df[\"i_fit\"], label=\"Amino acid bead fit\", linestyle=\"-\", color=\"m\")\n", " ax.plot(x, num_df_martini[\"i_fit\"], label=\"Martini bead fit\", linestyle=\"-\", color=\"k\", alpha=0.5)\n", "\n", " ax.set_title(csv_path.parent.name, fontsize=18)\n", " ax.set_xlabel(r\"q ($\\AA^{-1}$)\", fontsize=16)\n", " ax.set_ylabel(\"I(q)\", fontsize=16)\n", - " #ax.grid(True, alpha=0.3)\n", + " # ax.grid(True, alpha=0.3)\n", " ax.set_yscale(\"log\")\n", " ax.set_xscale(\"log\")\n", " ax.tick_params(axis=\"both\", which=\"major\", labelsize=14)\n", @@ -190,22 +239,36 @@ "for ax in axes[len(csv_files):]:\n", " ax.axis(\"off\")\n", "\n", + "# Add stable panel labels for downstream figure references.\n", "panel_labels = [\"A\", \"B\", \"C\", \"D\"]\n", "for i, ax in enumerate(axes[:len(csv_files)]):\n", - " label = panel_labels[i] if i < len(panel_labels) else chr(ord(\"A\") + i)\n", - " ax.text(\n", - " 0.03, 0.05, label,\n", - " transform=ax.transAxes,\n", - " fontsize=20,\n", - " fontweight=\"bold\",\n", - " ha=\"left\",\n", - " va=\"bottom\"\n", - " )\n", + " label = panel_labels[i] if i < len(panel_labels) else chr(ord(\"A\") + i)\n", + " ax.text(\n", + " 0.03,\n", + " 0.05,\n", + " label,\n", + " transform=ax.transAxes,\n", + " fontsize=20,\n", + " fontweight=\"bold\",\n", + " ha=\"left\",\n", + " va=\"bottom\",\n", + " )\n", + "\n", "plt.tight_layout()\n", "plt.savefig(base_dir / \"sba_fits_grid.pdf\")\n", "plt.show()" ] }, + { + "cell_type": "markdown", + "id": "265d777a", + "metadata": {}, + "source": [ + "## Prepare an experiment-only panel\n", + "\n", + "Build a one-panel plot for a selected entry using only the experimental intensity data. The cell writes a temporary CSV copy where `i_fit` is set to `NaN`, so the later plotting loop can reuse the same column-handling logic without drawing a fitted curve." + ] + }, { "cell_type": "code", "execution_count": 4, @@ -233,15 +296,17 @@ ], "source": [ "base_dir = Path(\"../../sasbdb_bench/cache\")\n", - "csv_files = sorted(base_dir.glob(\"*/sba_fit_grid.csv\"))\n", "\n", + "csv_files = sorted(base_dir.glob(\"*/sba_fit_grid.csv\"))\n", "\n", - "selected_indices = [ 1] # change these to the files you want\n", + "# Select the benchmark entry to show without fitted model overlays.\n", + "selected_indices = [1]\n", "csv_files = [csv_files[i] for i in selected_indices]\n", "\n", "csv_files_martini = sorted(base_dir.glob(\"*/sba_fit_martini.csv\"))\n", "csv_files_martini = [csv_files_martini[i] for i in selected_indices]\n", "\n", + "# Create temporary copies with i_fit removed so only experimental curves are plotted.\n", "exp_only_files = []\n", "for csv_path in csv_files:\n", " tmp_df = pd.read_csv(csv_path)\n", @@ -257,7 +322,6 @@ "fig, axes = plt.subplots(nrows, ncols, figsize=(8, 6), squeeze=False)\n", "axes = axes.ravel()\n", "\n", - "\n", "for ax, csv_path, csv_path_martini in zip(axes, csv_files, csv_files_martini):\n", " df = pd.read_csv(csv_path)\n", " df_martini = pd.read_csv(csv_path_martini)\n", @@ -265,6 +329,7 @@ " num_df_martini = df_martini.select_dtypes(include=[np.number])\n", " print(num_df.columns)\n", " print(num_df_martini.columns)\n", + "\n", " if num_df.shape[1] < 2:\n", " ax.set_title(csv_path.parent.name)\n", " ax.text(0.5, 0.5, \"Not enough numeric columns to plot\", ha=\"center\", va=\"center\")\n", @@ -272,15 +337,16 @@ " continue\n", "\n", " x = num_df.iloc[:, 0]\n", - " for col in num_df.columns[1:-2]: # Exclude last two columns (i_fit and sigma)\n", + "\n", + " # Plot experimental columns only. Fit overlays can be restored by uncommenting below.\n", + " for col in num_df.columns[1:-2]: # Exclude last two columns, typically i_fit and sigma.\n", " ax.plot(x, num_df[col], label=\"Experiment\", alpha=0.5)\n", - " #ax.plot(x, num_df_martini[\"i_fit\"], label=\"Martini bead fit\", linestyle=\"-\", color=\"m\")\n", - " #ax.plot(x, num_df[\"i_fit\"], label=\"Amino acid bead fit\", linestyle=\"-\", color=\"m\")\n", + " # ax.plot(x, num_df_martini[\"i_fit\"], label=\"Martini bead fit\", linestyle=\"-\", color=\"m\")\n", + " # ax.plot(x, num_df[\"i_fit\"], label=\"Amino acid bead fit\", linestyle=\"-\", color=\"m\")\n", "\n", - " \n", " ax.set_xlabel(r\"q ($\\AA^{-1}$)\", fontsize=16)\n", " ax.set_ylabel(\"I(q)\", fontsize=16)\n", - " #ax.grid(True, alpha=0.3)\n", + " # ax.grid(True, alpha=0.3)\n", " ax.set_yscale(\"log\")\n", " ax.tick_params(axis=\"both\", which=\"major\", labelsize=14)\n", " ax.legend(fontsize=16)\n", @@ -288,12 +354,23 @@ "for ax in axes[len(csv_files):]:\n", " ax.axis(\"off\")\n", "\n", - "\n", "plt.tight_layout()\n", "plt.savefig(base_dir / \"sba_fits_grid_1.pdf\")\n", "plt.show()" ] }, + { + "cell_type": "markdown", + "id": "2306165b", + "metadata": {}, + "source": [ + "## Plot residuals\n", + "\n", + "Compute residuals as `i_exp - i_fit` for the currently selected files and plot them against `q`. This is useful for spotting systematic deviations that are harder to see on logarithmic intensity plots.\n", + "\n", + "Note: if the previous experiment-only cell has replaced `i_fit` with `NaN`, this residual plot will also contain `NaN` residuals for those temporary files." + ] + }, { "cell_type": "code", "execution_count": 5, @@ -312,6 +389,7 @@ } ], "source": [ + "# Reuse nrows/ncols and csv_files from the previous selection cell.\n", "fig_res, axes_res = plt.subplots(nrows, ncols, figsize=(14, 4 * nrows), squeeze=False)\n", "axes_res = axes_res.ravel()\n", "\n", @@ -319,6 +397,7 @@ " tmp_df = pd.read_csv(csv_path)\n", " num_tmp = tmp_df.select_dtypes(include=[np.number])\n", "\n", + " # Residuals require explicit q, experimental intensity, and fitted intensity columns.\n", " if not {\"q\", \"i_exp\", \"i_fit\"}.issubset(num_tmp.columns):\n", " ax.set_title(csv_path.parent.name)\n", " ax.text(0.5, 0.5, \"Missing q/i_exp/i_fit columns\", ha=\"center\", va=\"center\")\n", @@ -333,8 +412,8 @@ " ax.set_xlabel(\"q\")\n", " ax.set_ylabel(\"I_exp - I_fit\")\n", " ax.grid(True, alpha=0.3)\n", - " #ax.set_yscale(\"log\")\n", - " #ax.set_xscale(\"log\")\n", + " # ax.set_yscale(\"log\")\n", + " # ax.set_xscale(\"log\")\n", "\n", "for ax in axes_res[len(csv_files):]:\n", " ax.axis(\"off\")\n", @@ -344,6 +423,16 @@ "plt.show()" ] }, + { + "cell_type": "markdown", + "id": "f9744a16", + "metadata": {}, + "source": [ + "## Load chi-squared summaries\n", + "\n", + "Read the benchmark summary CSV files and compare the mean `chi2_per_point` values for amino-acid grid fits and Martini fits. One Martini row is dropped to align the two summary tables before comparison." + ] + }, { "cell_type": "code", "execution_count": 160, @@ -362,18 +451,30 @@ "source": [ "summary_path = base_dir / \"sba_summary_grid.csv\"\n", "summary_path_martini = base_dir / \"sba_summary_martini.csv\"\n", + "\n", "if not summary_path.exists():\n", " raise FileNotFoundError(f\"File not found: {summary_path.resolve()}\")\n", "\n", + "# Read the leading summary columns, including sid and chi2_per_point.\n", "summary_df = pd.read_csv(summary_path, usecols=range(4))\n", "summary_df_martini = pd.read_csv(summary_path_martini, usecols=range(4))\n", - "#summary_df = pd.read_csv(summary_path)\n", + "# summary_df = pd.read_csv(summary_path)\n", "\n", - "#exclude row 11\n", + "# Drop the Martini outlier/mismatched row so the two tables align by row.\n", "summary_df_martini = summary_df_martini.drop(index=11)\n", "\n", - "print(np.mean(summary_df['chi2_per_point']))\n", - "print(np.mean(summary_df_martini['chi2_per_point']))" + "print(np.mean(summary_df[\"chi2_per_point\"]))\n", + "print(np.mean(summary_df_martini[\"chi2_per_point\"]))" + ] + }, + { + "cell_type": "markdown", + "id": "bd632399", + "metadata": {}, + "source": [ + "## Export a chi-squared comparison table\n", + "\n", + "Assemble the per-entry chi-squared values into a compact table, then print both a LaTeX version for manuscripts and a plain-text version for notebook inspection." ] }, { @@ -436,46 +537,40 @@ } ], "source": [ - "# Create a comparison table\n", - "comparison_df = pd.DataFrame({\n", - " 'sid': summary_df['sid'],\n", - " 'chi2_grid': summary_df['chi2_per_point'],\n", - " 'chi2_martini': summary_df_martini['chi2_per_point']\n", - "})\n", - "\n", - "# Calculate the difference\n", - "#comparison_df['difference'] = comparison_df['chi2_grid'] - comparison_df['chi2_martini']\n", - "#comparison_df['percent_change'] = (comparison_df['difference'] / comparison_df['chi2_grid'] * 100).round(2)\n", - "#comparison_df[\"difference\"] = comparison_df[\"chi2_grid\"] - comparison_df[\"chi2_martini\"]\n", - "#comparison_df[\"percent_change\"] = ( comparison_df[\"difference\"] / comparison_df[\"chi2_grid\"] * 100).round(2)\n", + "# Keep only the identifier and chi-squared values needed for the comparison table.\n", + "comparison_df = pd.DataFrame(\n", + " {\n", + " \"sid\": summary_df[\"sid\"],\n", + " \"chi2_grid\": summary_df[\"chi2_per_point\"],\n", + " \"chi2_martini\": summary_df_martini[\"chi2_per_point\"],\n", + " }\n", + ")\n", + "\n", + "# Optional derived metrics for follow-up analysis.\n", + "# comparison_df[\"difference\"] = comparison_df[\"chi2_grid\"] - comparison_df[\"chi2_martini\"]\n", + "# comparison_df[\"percent_change\"] = (\n", + "# comparison_df[\"difference\"] / comparison_df[\"chi2_grid\"] * 100\n", + "# ).round(2)\n", "\n", "latex_table = comparison_df.to_latex(\n", " index=False,\n", " float_format=\"%.2f\",\n", " na_rep=\"--\",\n", " caption=\"Comparison of chi2 per point (Grid vs Martini)\",\n", - " label=\"tab:chi2_comparison\"\n", + " label=\"tab:chi2_comparison\",\n", ")\n", "\n", "print(latex_table)\n", "print(comparison_df.to_string(index=False))\n", - "#summary_df['sid'] \n", - "#summary_df['chi2_per_point']\n", - "#summary_df_martini['chi2_per_point']" + "# summary_df[\"sid\"]\n", + "# summary_df[\"chi2_per_point\"]\n", + "# summary_df_martini[\"chi2_per_point\"]" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c20f2612", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { "kernelspec": { - "display_name": "pepsi", + "display_name": "pripps-py", "language": "python", "name": "python3" }, @@ -489,7 +584,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.0" + "version": "3.10.14" } }, "nbformat": 4, diff --git a/pripps-py/examples/testing_single-bead_approximation.ipynb b/pripps-py/examples/testing_single-bead_approximation.ipynb index e02053a..781b594 100644 --- a/pripps-py/examples/testing_single-bead_approximation.ipynb +++ b/pripps-py/examples/testing_single-bead_approximation.ipynb @@ -1,8 +1,16 @@ { "cells": [ + { + "cell_type": "markdown", + "id": "5e0868b6", + "metadata": {}, + "source": [ + "## Testing Pripps-py for Lysozyme" + ] + }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "id": "44b5339f", "metadata": {}, "outputs": [], @@ -14,31 +22,12 @@ ] }, { - "cell_type": "markdown", - "id": "5d472b16", + "cell_type": "code", + "execution_count": null, + "id": "74a07d07", "metadata": {}, - "source": [ - "## Rebuild the Python extension\n", - "\n", - "If `Pripps.multipole_model()` raises an unexpected keyword error, rebuild the local extension in the same virtual environment that the notebook kernel uses:\n", - "\n", - "```bash\n", - "cd /Users/isabelvinterbladh/Documents/HALRIC/pripps/pripps-py\n", - "source .venv/bin/activate\n", - "maturin develop\n", - "```\n", - "\n", - "If you prefer pip, this also works:\n", - "\n", - "```bash\n", - "cd /Users/isabelvinterbladh/Documents/HALRIC/pripps/pripps-py\n", - "source .venv/bin/activate\n", - "pip install -e .\n", - "```\n", - "\n", - "Then restart the notebook kernel before rerunning the fit cells.\n", - "\n" - ] + "outputs": [], + "source": [] }, { "cell_type": "code", @@ -47,10 +36,14 @@ "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "[0. 0.0025641 0.00512821] [3954401.95133619 3952580.44343685 3947144.07582101]\n" + "ename": "OSError", + "evalue": "assets/poly_atev.yaml: No such file or directory (os error 2)", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[3], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m pr \u001b[38;5;241m=\u001b[39m pripps\u001b[38;5;241m.\u001b[39mPripps(atomfile\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m/Users/isabelvinterbladh/Documents/HALRIC/pripps/assets/poly_amino_acid.yaml\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m----> 2\u001b[0m model \u001b[38;5;241m=\u001b[39m \u001b[43mpr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmultipole_model\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 3\u001b[0m \u001b[43m \u001b[49m\u001b[43mstructure_file\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m/Users/isabelvinterbladh/Documents/HALRIC/pripps/tests/lysozyme/6lyz.xyz\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 4\u001b[0m \u001b[43m \u001b[49m\u001b[43mqmin\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0.0\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 5\u001b[0m \u001b[43m \u001b[49m\u001b[43mqmax\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0.5\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 6\u001b[0m \u001b[43m \u001b[49m\u001b[43mnq\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m196\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 7\u001b[0m \u001b[43m \u001b[49m\u001b[43mexcluded\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mpolynomial\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 8\u001b[0m \u001b[43m \u001b[49m\u001b[43mvolume_scale\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1.0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# fit knob c₁ (scales excluded volume)\u001b[39;49;00m\n\u001b[1;32m 9\u001b[0m \u001b[43m \u001b[49m\u001b[43mhydration\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43msasa\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# FoXS-style SASA-weighted hydration shell\u001b[39;49;00m\n\u001b[1;32m 10\u001b[0m \u001b[43m \u001b[49m\u001b[43mprobe\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1.8\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# SASA probe radius (Å)\u001b[39;49;00m\n\u001b[1;32m 11\u001b[0m \u001b[43m \u001b[49m\u001b[43mcontrast_density\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0.03\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# fit knob c₂ (scales hydration)\u001b[39;49;00m\n\u001b[1;32m 12\u001b[0m \u001b[43m \u001b[49m\u001b[43mbulk_electron_density\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0.334\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# e/ų, pure water\u001b[39;49;00m\n\u001b[1;32m 13\u001b[0m \u001b[43m)\u001b[49m\n\u001b[1;32m 15\u001b[0m \u001b[38;5;66;03m# Returns a dict of numpy arrays\u001b[39;00m\n\u001b[1;32m 16\u001b[0m out \u001b[38;5;241m=\u001b[39m model\u001b[38;5;241m.\u001b[39mintensity(volume_scale\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1.0\u001b[39m, contrast_density\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0.03\u001b[39m)\n", + "\u001b[0;31mOSError\u001b[0m: assets/poly_atev.yaml: No such file or directory (os error 2)" ] } ], @@ -70,8 +63,7 @@ ")\n", "\n", "# Returns a dict of numpy arrays\n", - "out = model.intensity(volume_scale=1.0, contrast_density=0.03)\n", - "print(out[\"q\"][:3], out[\"total\"][:3])" + "out = model.intensity(volume_scale=1.0, contrast_density=0.03)" ] }, { diff --git a/pripps-py/src/lib.rs b/pripps-py/src/lib.rs index 16a3a41..aa28fc2 100644 --- a/pripps-py/src/lib.rs +++ b/pripps-py/src/lib.rs @@ -212,6 +212,12 @@ impl PyMultipoleModel { fn q_values<'py>(&self, py: Python<'py>) -> Bound<'py, numpy::PyArray1> { self.0.q_values().to_vec().into_pyarray(py) } + + /// Number of points in the grid hydration shell, or `None` for other hydration models. + #[getter] + fn grid_hydration_points(&self) -> Option { + self.0.grid_hydration_points() + } } #[pyclass(name = "DebyeModel", module = "pripps")] @@ -236,6 +242,12 @@ impl PyDebyeModel { fn q_values<'py>(&self, py: Python<'py>) -> Bound<'py, numpy::PyArray1> { self.0.q_values().to_vec().into_pyarray(py) } + + /// Number of points in the grid hydration shell, or `None` for other hydration models. + #[getter] + fn grid_hydration_points(&self) -> Option { + self.0.grid_hydration_points() + } } #[pyclass(name = "DirectModel", module = "pripps")] @@ -260,6 +272,12 @@ impl PyDirectModel { fn q_values<'py>(&self, py: Python<'py>) -> Bound<'py, numpy::PyArray1> { self.0.q_values().to_vec().into_pyarray(py) } + + /// Number of points in the grid hydration shell, or `None` for other hydration models. + #[getter] + fn grid_hydration_points(&self) -> Option { + self.0.grid_hydration_points() + } } #[allow(clippy::too_many_arguments)] diff --git a/pripps-py/tests/test_smoke.py b/pripps-py/tests/test_smoke.py index 5c72ad8..595997b 100644 --- a/pripps-py/tests/test_smoke.py +++ b/pripps-py/tests/test_smoke.py @@ -50,6 +50,7 @@ def test_prepare_and_call(self): self.assertEqual(out["total"].shape, (50,)) self.assertTrue(np.all(np.isfinite(out["total"]))) self.assertTrue(np.all(out["atoms"] > 0)) + self.assertIsNone(fit.grid_hydration_points) def test_refit_produces_different_curves(self): pr = pripps.Pripps("../assets/poly_amino_acid.yaml") @@ -141,6 +142,8 @@ def test_grid_hydration_populates_contributions(self): self.assertIn("excluded", out) self.assertIn("hydration", out) self.assertTrue(np.all(np.isfinite(out["total"]))) + self.assertIsInstance(self.model.grid_hydration_points, int) + self.assertGreater(self.model.grid_hydration_points, 0) if __name__ == "__main__": diff --git a/src/debye.rs b/src/debye.rs index 0cba383..a309c38 100644 --- a/src/debye.rs +++ b/src/debye.rs @@ -4,7 +4,7 @@ // you may not use this file except in compliance with the license. use crate::q_sampler::QSampler; -use crate::solvent::SolventConfig; +use crate::solvent::{Hydration, SolventConfig}; use crate::{ Contributions, Intensity, IntensityCalculator, Result, Structure, Vector3, formfactor::{self, FormFactorMap}, @@ -86,6 +86,8 @@ pub(crate) fn build_model( cfg.bulk_electron_density, )?; let hydration_dummies = cfg.hydration.dummies(structure, &sampler.formfactors)?; + let grid_hydration_points = matches!(cfg.hydration, Hydration::Grid { .. }) + .then_some(hydration_dummies.positions().len()); let terms = sampler .q_values @@ -132,6 +134,7 @@ pub(crate) fn build_model( Ok(DebyeModel { q_values: sampler.q_values.clone(), terms, + grid_hydration_points, }) } @@ -139,6 +142,7 @@ pub(crate) fn build_model( pub struct DebyeModel { q_values: Vec, terms: Vec, + grid_hydration_points: Option, } impl DebyeModel { @@ -170,6 +174,11 @@ impl DebyeModel { pub fn q_values(&self) -> &[f64] { &self.q_values } + + /// Number of grid points in the hydration shell, if `Hydration::Grid` was used. + pub fn grid_hydration_points(&self) -> Option { + self.grid_hydration_points + } } #[derive(Debug, Clone, Copy, Default)] diff --git a/src/explicit.rs b/src/explicit.rs index 9d46e6a..5c4b410 100644 --- a/src/explicit.rs +++ b/src/explicit.rs @@ -14,7 +14,7 @@ //! Explicit calculation using discrete q vectors -use crate::solvent::SolventConfig; +use crate::solvent::{Hydration, SolventConfig}; use crate::{ Contributions, Error, Intensity, IntensityCalculator, Result, Structure, Vector3, formfactor::FormFactorMap, @@ -169,6 +169,8 @@ pub(crate) fn build_model( cfg.excluded .unit_scale_dummies(structure, formfactors, cfg.bulk_electron_density)?; let hydration_dummies = cfg.hydration.dummies(structure, formfactors)?; + let grid_hydration_points = matches!(cfg.hydration, Hydration::Grid { .. }) + .then_some(hydration_dummies.positions().len()); let rows = directions .par_iter() @@ -197,13 +199,18 @@ pub(crate) fn build_model( .collect::>>()?; let q_values = unique_q_values(&rows); - Ok(DirectModel { q_values, rows }) + Ok(DirectModel { + q_values, + rows, + grid_hydration_points, + }) } /// Cached explicit-transform state for solvent fitting. pub struct DirectModel { q_values: Vec, rows: Vec, + grid_hydration_points: Option, } impl DirectModel { @@ -233,6 +240,11 @@ impl DirectModel { pub fn q_values(&self) -> &[f64] { &self.q_values } + + /// Number of grid points in the hydration shell, if `Hydration::Grid` was used. + pub fn grid_hydration_points(&self) -> Option { + self.grid_hydration_points + } } #[derive(Debug, Clone, Copy)] diff --git a/src/multipole/mod.rs b/src/multipole/mod.rs index e0cae85..1930670 100644 --- a/src/multipole/mod.rs +++ b/src/multipole/mod.rs @@ -36,7 +36,7 @@ mod math; use crate::q_sampler::QSampler; -use crate::solvent::{DummySet, SolventConfig}; +use crate::solvent::{DummySet, Hydration, SolventConfig}; use crate::{ Contributions, Intensity, IntensityCalculator, Result, Structure, Vector3, formfactor::{self, FormFactorMap}, @@ -386,6 +386,8 @@ pub(crate) fn build_model( cfg.bulk_electron_density, )?; let hydration_dummies = cfg.hydration.dummies(structure, &sampler.formfactors)?; + let grid_hydration_points = matches!(cfg.hydration, Hydration::Grid { .. }) + .then_some(hydration_dummies.positions().len()); let excluded_basis = SphericalBasis::new(excluded_dummies.positions(), l_max); let hydration_basis = SphericalBasis::new(hydration_dummies.positions(), l_max); @@ -435,6 +437,7 @@ pub(crate) fn build_model( atoms_coeffs, excluded_coeffs, hydration_coeffs, + grid_hydration_points, }) } @@ -455,6 +458,7 @@ pub struct MultipoleModel { atoms_coeffs: Vec>>, excluded_coeffs: Vec>>, hydration_coeffs: Vec>>, + grid_hydration_points: Option, } impl MultipoleModel { @@ -504,6 +508,11 @@ impl MultipoleModel { pub fn q_values(&self) -> &[f64] { &self.q_values } + + /// Number of grid points in the hydration shell, if `Hydration::Grid` was used. + pub fn grid_hydration_points(&self) -> Option { + self.grid_hydration_points + } } /// Minimum atom count above which [`compute_coeffs`] routes to the From 0d59ab6030aee9fb5a987c01487b533bcfb524d1 Mon Sep 17 00:00:00 2001 From: IVinterbladh Date: Tue, 16 Jun 2026 14:34:32 +0200 Subject: [PATCH 14/22] removed the python API of getting number of hydration shell grid points from the model when using the grid version --- README.md | 4 ---- pripps-py/examples/batch_sba_sasbdb.py | 1 - pripps-py/src/lib.rs | 18 ------------------ pripps-py/tests/test_smoke.py | 3 --- src/debye.rs | 11 +---------- src/explicit.rs | 16 ++-------------- src/multipole/mod.rs | 11 +---------- 7 files changed, 4 insertions(+), 60 deletions(-) diff --git a/README.md b/README.md index ac50f65..586a652 100644 --- a/README.md +++ b/README.md @@ -52,10 +52,6 @@ The returned dict contains: | `excluded` | Excluded-volume contribution | | `hydration` | Hydration-shell contribution | -Prepared Python models also expose `model.grid_hydration_points`. -It is the number of Cartesian shell points used for `hydration="grid"` -and `None` for the other hydration models. - ### Fitting against experimental data `multipole_model` does the expensive per-structure setup once and diff --git a/pripps-py/examples/batch_sba_sasbdb.py b/pripps-py/examples/batch_sba_sasbdb.py index e4bb186..dd67016 100644 --- a/pripps-py/examples/batch_sba_sasbdb.py +++ b/pripps-py/examples/batch_sba_sasbdb.py @@ -78,7 +78,6 @@ def fit_single( bulk_electron_density=0.334, spacing = 3.8, ) - print(model.grid_hydration_points) def chi2(params: np.ndarray) -> float: c1, c2 = float(params[0]), float(params[1]) diff --git a/pripps-py/src/lib.rs b/pripps-py/src/lib.rs index aa28fc2..16a3a41 100644 --- a/pripps-py/src/lib.rs +++ b/pripps-py/src/lib.rs @@ -212,12 +212,6 @@ impl PyMultipoleModel { fn q_values<'py>(&self, py: Python<'py>) -> Bound<'py, numpy::PyArray1> { self.0.q_values().to_vec().into_pyarray(py) } - - /// Number of points in the grid hydration shell, or `None` for other hydration models. - #[getter] - fn grid_hydration_points(&self) -> Option { - self.0.grid_hydration_points() - } } #[pyclass(name = "DebyeModel", module = "pripps")] @@ -242,12 +236,6 @@ impl PyDebyeModel { fn q_values<'py>(&self, py: Python<'py>) -> Bound<'py, numpy::PyArray1> { self.0.q_values().to_vec().into_pyarray(py) } - - /// Number of points in the grid hydration shell, or `None` for other hydration models. - #[getter] - fn grid_hydration_points(&self) -> Option { - self.0.grid_hydration_points() - } } #[pyclass(name = "DirectModel", module = "pripps")] @@ -272,12 +260,6 @@ impl PyDirectModel { fn q_values<'py>(&self, py: Python<'py>) -> Bound<'py, numpy::PyArray1> { self.0.q_values().to_vec().into_pyarray(py) } - - /// Number of points in the grid hydration shell, or `None` for other hydration models. - #[getter] - fn grid_hydration_points(&self) -> Option { - self.0.grid_hydration_points() - } } #[allow(clippy::too_many_arguments)] diff --git a/pripps-py/tests/test_smoke.py b/pripps-py/tests/test_smoke.py index 595997b..5c72ad8 100644 --- a/pripps-py/tests/test_smoke.py +++ b/pripps-py/tests/test_smoke.py @@ -50,7 +50,6 @@ def test_prepare_and_call(self): self.assertEqual(out["total"].shape, (50,)) self.assertTrue(np.all(np.isfinite(out["total"]))) self.assertTrue(np.all(out["atoms"] > 0)) - self.assertIsNone(fit.grid_hydration_points) def test_refit_produces_different_curves(self): pr = pripps.Pripps("../assets/poly_amino_acid.yaml") @@ -142,8 +141,6 @@ def test_grid_hydration_populates_contributions(self): self.assertIn("excluded", out) self.assertIn("hydration", out) self.assertTrue(np.all(np.isfinite(out["total"]))) - self.assertIsInstance(self.model.grid_hydration_points, int) - self.assertGreater(self.model.grid_hydration_points, 0) if __name__ == "__main__": diff --git a/src/debye.rs b/src/debye.rs index a309c38..0cba383 100644 --- a/src/debye.rs +++ b/src/debye.rs @@ -4,7 +4,7 @@ // you may not use this file except in compliance with the license. use crate::q_sampler::QSampler; -use crate::solvent::{Hydration, SolventConfig}; +use crate::solvent::SolventConfig; use crate::{ Contributions, Intensity, IntensityCalculator, Result, Structure, Vector3, formfactor::{self, FormFactorMap}, @@ -86,8 +86,6 @@ pub(crate) fn build_model( cfg.bulk_electron_density, )?; let hydration_dummies = cfg.hydration.dummies(structure, &sampler.formfactors)?; - let grid_hydration_points = matches!(cfg.hydration, Hydration::Grid { .. }) - .then_some(hydration_dummies.positions().len()); let terms = sampler .q_values @@ -134,7 +132,6 @@ pub(crate) fn build_model( Ok(DebyeModel { q_values: sampler.q_values.clone(), terms, - grid_hydration_points, }) } @@ -142,7 +139,6 @@ pub(crate) fn build_model( pub struct DebyeModel { q_values: Vec, terms: Vec, - grid_hydration_points: Option, } impl DebyeModel { @@ -174,11 +170,6 @@ impl DebyeModel { pub fn q_values(&self) -> &[f64] { &self.q_values } - - /// Number of grid points in the hydration shell, if `Hydration::Grid` was used. - pub fn grid_hydration_points(&self) -> Option { - self.grid_hydration_points - } } #[derive(Debug, Clone, Copy, Default)] diff --git a/src/explicit.rs b/src/explicit.rs index 5c4b410..9d46e6a 100644 --- a/src/explicit.rs +++ b/src/explicit.rs @@ -14,7 +14,7 @@ //! Explicit calculation using discrete q vectors -use crate::solvent::{Hydration, SolventConfig}; +use crate::solvent::SolventConfig; use crate::{ Contributions, Error, Intensity, IntensityCalculator, Result, Structure, Vector3, formfactor::FormFactorMap, @@ -169,8 +169,6 @@ pub(crate) fn build_model( cfg.excluded .unit_scale_dummies(structure, formfactors, cfg.bulk_electron_density)?; let hydration_dummies = cfg.hydration.dummies(structure, formfactors)?; - let grid_hydration_points = matches!(cfg.hydration, Hydration::Grid { .. }) - .then_some(hydration_dummies.positions().len()); let rows = directions .par_iter() @@ -199,18 +197,13 @@ pub(crate) fn build_model( .collect::>>()?; let q_values = unique_q_values(&rows); - Ok(DirectModel { - q_values, - rows, - grid_hydration_points, - }) + Ok(DirectModel { q_values, rows }) } /// Cached explicit-transform state for solvent fitting. pub struct DirectModel { q_values: Vec, rows: Vec, - grid_hydration_points: Option, } impl DirectModel { @@ -240,11 +233,6 @@ impl DirectModel { pub fn q_values(&self) -> &[f64] { &self.q_values } - - /// Number of grid points in the hydration shell, if `Hydration::Grid` was used. - pub fn grid_hydration_points(&self) -> Option { - self.grid_hydration_points - } } #[derive(Debug, Clone, Copy)] diff --git a/src/multipole/mod.rs b/src/multipole/mod.rs index 1930670..e0cae85 100644 --- a/src/multipole/mod.rs +++ b/src/multipole/mod.rs @@ -36,7 +36,7 @@ mod math; use crate::q_sampler::QSampler; -use crate::solvent::{DummySet, Hydration, SolventConfig}; +use crate::solvent::{DummySet, SolventConfig}; use crate::{ Contributions, Intensity, IntensityCalculator, Result, Structure, Vector3, formfactor::{self, FormFactorMap}, @@ -386,8 +386,6 @@ pub(crate) fn build_model( cfg.bulk_electron_density, )?; let hydration_dummies = cfg.hydration.dummies(structure, &sampler.formfactors)?; - let grid_hydration_points = matches!(cfg.hydration, Hydration::Grid { .. }) - .then_some(hydration_dummies.positions().len()); let excluded_basis = SphericalBasis::new(excluded_dummies.positions(), l_max); let hydration_basis = SphericalBasis::new(hydration_dummies.positions(), l_max); @@ -437,7 +435,6 @@ pub(crate) fn build_model( atoms_coeffs, excluded_coeffs, hydration_coeffs, - grid_hydration_points, }) } @@ -458,7 +455,6 @@ pub struct MultipoleModel { atoms_coeffs: Vec>>, excluded_coeffs: Vec>>, hydration_coeffs: Vec>>, - grid_hydration_points: Option, } impl MultipoleModel { @@ -508,11 +504,6 @@ impl MultipoleModel { pub fn q_values(&self) -> &[f64] { &self.q_values } - - /// Number of grid points in the hydration shell, if `Hydration::Grid` was used. - pub fn grid_hydration_points(&self) -> Option { - self.grid_hydration_points - } } /// Minimum atom count above which [`compute_coeffs`] routes to the From 65458c0757a0e0505d69ccfd2f75eecb17eb6b05 Mon Sep 17 00:00:00 2001 From: IVinterbladh Date: Tue, 16 Jun 2026 14:41:01 +0200 Subject: [PATCH 15/22] fixed open parentheses in cli.rs --- src/cli.rs | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/cli.rs b/src/cli.rs index 73e6e07..b8acb33 100644 --- a/src/cli.rs +++ b/src/cli.rs @@ -343,7 +343,7 @@ fn command_to_scheme( IntensityScheme::Direct { pmax }, side_length.map(|s| [s; 3]), solvent.to_config(), - ), + )), Commands::Multipole { qmin, qmax, @@ -351,7 +351,7 @@ fn command_to_scheme( lmax, solvent, } => Ok(( - IntensityScheme::Multipole { + IntensityScheme::Multipole { qmin, qmax, nq, From 416329b1c60d87b0c5b506d43a352189d9abe1f0 Mon Sep 17 00:00:00 2001 From: IVinterbladh Date: Tue, 16 Jun 2026 16:16:26 +0200 Subject: [PATCH 16/22] fixed error and added log to Cargo.toml so the python extension will work --- src/cli.rs | 4 ++-- src/lib.rs | 8 +------- 2 files changed, 3 insertions(+), 9 deletions(-) diff --git a/src/cli.rs b/src/cli.rs index b8acb33..4a766e5 100644 --- a/src/cli.rs +++ b/src/cli.rs @@ -342,7 +342,7 @@ fn command_to_scheme( } => Ok(( IntensityScheme::Direct { pmax }, side_length.map(|s| [s; 3]), - solvent.to_config(), + solvent.to_config()?, )), Commands::Multipole { qmin, @@ -351,7 +351,7 @@ fn command_to_scheme( lmax, solvent, } => Ok(( - IntensityScheme::Multipole { + IntensityScheme::Multipole { qmin, qmax, nq, diff --git a/src/lib.rs b/src/lib.rs index e9466fd..6ba22e6 100644 --- a/src/lib.rs +++ b/src/lib.rs @@ -376,7 +376,6 @@ mod tests { IntensityScheme::Direct { pmax: 2 }, &xyz, None, - None, Some(box_sides), Some(&solvent), ) @@ -414,7 +413,6 @@ mod tests { &xyz, None, None, - None, Some(&scaled_solvent), ) .unwrap(); @@ -432,7 +430,6 @@ mod tests { IntensityScheme::Direct { pmax: 2 }, &xyz, None, - None, Some(direct_box), Some(&scaled_solvent), ) @@ -456,7 +453,6 @@ mod tests { &xyz, None, None, - None, Some(&scaled_solvent), ) .unwrap(); @@ -615,7 +611,6 @@ mod tests { None, None, None, - None, ) .unwrap(); @@ -706,7 +701,6 @@ mod tests { &pdb, None, None, - None, Some(&solvent), ) .unwrap(); @@ -817,7 +811,7 @@ mod tests { /// rescales it back to a full average (not frame 0 × 1/N_frames). #[test] fn trajectory_stride_and_weights() { - let pripps = Pripps::from_yaml(Path::new("assets/single_bead.yaml")).unwrap(); + let pripps = Pripps::from_yaml(Path::new("assets/gaussian_atoms.yaml")).unwrap(); let template = std::path::PathBuf::from("tests/lysozyme/4lzt.xyz"); let xtc = std::env::temp_dir().join("pripps_stride_test.xtc"); write_two_frame_xtc(&xtc); From 8ef916537b94e5691a07cfddd4c19de188afbc81 Mon Sep 17 00:00:00 2001 From: IVinterbladh Date: Tue, 16 Jun 2026 16:32:45 +0200 Subject: [PATCH 17/22] changed name of atomic+excluded to combined for the form factor files --- ...{poly_atomic+excluded.csv => poly_amino_acid_combined.csv} | 0 ...oly_atomic+excluded.yaml => poly_amino_acid_combined.yaml} | 0 ..._martini_atomic+excluded.csv => poly_martini_combined.csv} | 0 ...artini_atomic+excluded.yaml => poly_martini_combined.yaml} | 0 pripps-py/Cargo.toml | 1 + pripps-py/src/lib.rs | 4 ++-- 6 files changed, 3 insertions(+), 2 deletions(-) rename assets/{poly_atomic+excluded.csv => poly_amino_acid_combined.csv} (100%) rename assets/{poly_atomic+excluded.yaml => poly_amino_acid_combined.yaml} (100%) rename assets/{poly_martini_atomic+excluded.csv => poly_martini_combined.csv} (100%) rename assets/{poly_martini_atomic+excluded.yaml => poly_martini_combined.yaml} (100%) diff --git a/assets/poly_atomic+excluded.csv b/assets/poly_amino_acid_combined.csv similarity index 100% rename from assets/poly_atomic+excluded.csv rename to assets/poly_amino_acid_combined.csv diff --git a/assets/poly_atomic+excluded.yaml b/assets/poly_amino_acid_combined.yaml similarity index 100% rename from assets/poly_atomic+excluded.yaml rename to assets/poly_amino_acid_combined.yaml diff --git a/assets/poly_martini_atomic+excluded.csv b/assets/poly_martini_combined.csv similarity index 100% rename from assets/poly_martini_atomic+excluded.csv rename to assets/poly_martini_combined.csv diff --git a/assets/poly_martini_atomic+excluded.yaml b/assets/poly_martini_combined.yaml similarity index 100% rename from assets/poly_martini_atomic+excluded.yaml rename to assets/poly_martini_combined.yaml diff --git a/pripps-py/Cargo.toml b/pripps-py/Cargo.toml index 58e19f6..4d8de1d 100644 --- a/pripps-py/Cargo.toml +++ b/pripps-py/Cargo.toml @@ -10,6 +10,7 @@ crate-type = ["cdylib"] [dependencies] pripps = { path = ".." } +log = "0.4" pyo3 = { version = "0.29", features = ["extension-module", "abi3-py39"] } pyo3-log = "0.13" numpy = "0.29" diff --git a/pripps-py/src/lib.rs b/pripps-py/src/lib.rs index 48f1bf4..ff33acb 100644 --- a/pripps-py/src/lib.rs +++ b/pripps-py/src/lib.rs @@ -95,7 +95,7 @@ impl PyPripps { excluded_spacing = 1.0, hydration = "none", probe = 1.8, - spacing = 1.5, + spacing = 3.10516, thickness = 3.0, contrast_density = 0.03, bulk_electron_density = 0.334, @@ -150,7 +150,7 @@ impl PyPripps { excluded_spacing = 1.0, hydration = "none", probe = 1.8, - spacing = 1.5, + spacing = 3.10516, thickness = 3.0, contrast_density = 0.03, bulk_electron_density = 0.334, From 81835704b07ee74b0855c5b51e881e1eaf14eac1 Mon Sep 17 00:00:00 2001 From: mlund Date: Tue, 16 Jun 2026 17:01:19 +0200 Subject: [PATCH 18/22] Remove excluded_atomfile parameter; minor cleanups Polynomial excluded volume reads `excluded_solvent` from the per-bead entries in the main atom file, so the separate `excluded_atomfile` / `--excluded-atomfile` parameter is dead surface area. Remove it from the CLI args and from all three pyo3 model constructors plus the `solvent_from_kwargs` helper. Drop the now-orphaned `log` dependency in pripps-py (its only direct use was the deprecation warning). Also: - polynomial_excluded: defer the `kind_name` lookup into the error path - structure: collapse nested `if let` into a let-chain (clippy) --- pripps-py/Cargo.toml | 1 - pripps-py/src/lib.rs | 19 +------------------ src/cli.rs | 16 +++------------- src/solvent/polynomial_excluded.rs | 4 ++-- src/structure.rs | 8 ++++---- 5 files changed, 10 insertions(+), 38 deletions(-) diff --git a/pripps-py/Cargo.toml b/pripps-py/Cargo.toml index 4d8de1d..58e19f6 100644 --- a/pripps-py/Cargo.toml +++ b/pripps-py/Cargo.toml @@ -10,7 +10,6 @@ crate-type = ["cdylib"] [dependencies] pripps = { path = ".." } -log = "0.4" pyo3 = { version = "0.29", features = ["extension-module", "abi3-py39"] } pyo3-log = "0.13" numpy = "0.29" diff --git a/pripps-py/src/lib.rs b/pripps-py/src/lib.rs index ff33acb..75ef2d8 100644 --- a/pripps-py/src/lib.rs +++ b/pripps-py/src/lib.rs @@ -33,7 +33,6 @@ impl PyPripps { nq = 100, l_max = None, excluded = "none", - excluded_atomfile = None, volume_scale = 1.0, excluded_spacing = 1.0, hydration = "none", @@ -51,7 +50,6 @@ impl PyPripps { nq: usize, l_max: Option, excluded: &str, - excluded_atomfile: Option<&str>, volume_scale: f64, excluded_spacing: f64, hydration: &str, @@ -63,7 +61,6 @@ impl PyPripps { ) -> PyResult { let cfg = solvent_from_kwargs( excluded, - excluded_atomfile, volume_scale, excluded_spacing, hydration, @@ -90,7 +87,6 @@ impl PyPripps { qmax = 0.5, nq = 100, excluded = "none", - excluded_atomfile = None, volume_scale = 1.0, excluded_spacing = 1.0, hydration = "none", @@ -107,7 +103,6 @@ impl PyPripps { qmax: f64, nq: usize, excluded: &str, - excluded_atomfile: Option<&str>, volume_scale: f64, excluded_spacing: f64, hydration: &str, @@ -119,7 +114,6 @@ impl PyPripps { ) -> PyResult { let cfg = solvent_from_kwargs( excluded, - excluded_atomfile, volume_scale, excluded_spacing, hydration, @@ -145,7 +139,6 @@ impl PyPripps { pmax = 6, side_length = 200.0, excluded = "none", - excluded_atomfile = None, volume_scale = 1.0, excluded_spacing = 1.0, hydration = "none", @@ -161,7 +154,6 @@ impl PyPripps { pmax: usize, side_length: f64, excluded: &str, - excluded_atomfile: Option<&str>, volume_scale: f64, excluded_spacing: f64, hydration: &str, @@ -173,7 +165,6 @@ impl PyPripps { ) -> PyResult { let cfg = solvent_from_kwargs( excluded, - excluded_atomfile, volume_scale, excluded_spacing, hydration, @@ -265,7 +256,6 @@ impl PyDirectModel { #[allow(clippy::too_many_arguments)] fn solvent_from_kwargs( excluded: &str, - excluded_atomfile: Option<&str>, volume_scale: f64, excluded_spacing: f64, hydration: &str, @@ -284,14 +274,7 @@ fn solvent_from_kwargs( volume_scale, }, "voronoi" => ExcludedVolume::Voronoi { volume_scale }, - "polynomial" => { - if excluded_atomfile.is_some() { - log::warn!( - "`excluded_atomfile` is ignored; polynomial excluded volume is read from `excluded_solvent` entries in `atomfile`" - ); - } - ExcludedVolume::Polynomial { volume_scale } - } + "polynomial" => ExcludedVolume::Polynomial { volume_scale }, other => { return Err(PyValueError::new_err(format!( "unknown excluded-volume model: {other} (expected `none`, `fraser`, `foxs`, `grid`, `voronoi`, or `polynomial`)" diff --git a/src/cli.rs b/src/cli.rs index 4a766e5..1ae65b9 100644 --- a/src/cli.rs +++ b/src/cli.rs @@ -90,9 +90,6 @@ pub struct SolventArgs { /// Grid spacing (Å) for `--excluded grid` #[clap(long, default_value = "1.0")] excluded_spacing: f64, - /// Deprecated: `--excluded polynomial` reads `excluded_solvent` from `--atomfile`. - #[clap(long, hide = true)] - excluded_atomfile: Option, /// Bulk solvent electron density (e/ų) #[clap(long, default_value = "0.334")] bulk_electron_density: f64, @@ -137,16 +134,9 @@ impl SolventArgs { ExcludedKind::Voronoi => ExcludedVolume::Voronoi { volume_scale: self.volume_scale, }, - ExcludedKind::Polynomial => { - if self.excluded_atomfile.is_some() { - log::warn!( - "`--excluded-atomfile` is ignored; polynomial excluded volume is read from `excluded_solvent` entries in `--atomfile`" - ); - } - ExcludedVolume::Polynomial { - volume_scale: self.volume_scale, - } - } + ExcludedKind::Polynomial => ExcludedVolume::Polynomial { + volume_scale: self.volume_scale, + }, }; let hydration = match self.hydration { HydrationKind::Disabled => Hydration::Disabled, diff --git a/src/solvent/polynomial_excluded.rs b/src/solvent/polynomial_excluded.rs index e7ea1a0..38b4e4c 100644 --- a/src/solvent/polynomial_excluded.rs +++ b/src/solvent/polynomial_excluded.rs @@ -18,12 +18,12 @@ pub(super) fn dummies(structure: &Structure, formfactors: &FormFactorMap) -> Res let mut form_factors = Vec::with_capacity(structure.pos.len()); for (&id, &pos) in structure.ids.iter().zip(&structure.pos) { - let kind_name = formfactors.kind(id).name(); let ff = formfactors .excluded_solvent(id) .ok_or_else(|| { Error::validation(format!( - "atom kind {kind_name} has no `excluded_solvent`; required by ExcludedVolume::Polynomial" + "atom kind {} has no `excluded_solvent`; required by ExcludedVolume::Polynomial", + formfactors.kind(id).name() )) })? .clone(); diff --git a/src/structure.rs b/src/structure.rs index 061c30e..7f0ecb1 100644 --- a/src/structure.rs +++ b/src/structure.rs @@ -147,10 +147,10 @@ fn resolve_atom_kind_id( return Ok(id); } - if let Some(united) = resolve_united_atom(residue, atom_name) { - if let Some(id) = atomkinds.find_name(united) { - return Ok(id); - } + if let Some(united) = resolve_united_atom(residue, atom_name) + && let Some(id) = atomkinds.find_name(united) + { + return Ok(id); } } From 10bac8a9911b14658a54bb42fcc02bf648713343 Mon Sep 17 00:00:00 2001 From: mlund Date: Tue, 16 Jun 2026 18:45:39 +0200 Subject: [PATCH 19/22] Rename ExcludedVolume::Polynomial to PerKind; clarify poly_ asset headers The "polynomial" excluded-volume model named an incidental form-factor representation rather than its mechanism: it reads an explicit per-kind `excluded_solvent` form factor from the table (which need not be a polynomial), unlike the geometry-derived Fraser/FoXS/Grid/Voronoi variants. Rename the model to `PerKind` across the enum, CLI (`--excluded per-kind`), Python bindings (`excluded="per-kind"`), the module file (`per_kind_excluded.rs`), and README. The per-kind `excluded_solvent` field name is unchanged. Also clarify the poly_ asset header comments: the plain files keep the excluded solvent as a separate, fittable `excluded_solvent` term (`--excluded per-kind`), while the `_combined` files fold it into a single form factor (`--excluded disabled`). Fix stale CSV provenance lines to reference the current file names. --- README.md | 6 +++--- assets/poly_amino_acid.yaml | 14 +++++++++++--- assets/poly_amino_acid_combined.yaml | 13 +++++++++++-- assets/poly_martini.yaml | 14 +++++++++++--- assets/poly_martini_combined.yaml | 13 +++++++++++-- pripps-py/src/lib.rs | 4 ++-- src/cli.rs | 4 ++-- src/formfactor.rs | 2 +- src/solvent/mod.rs | 10 +++++----- ...polynomial_excluded.rs => per_kind_excluded.rs} | 8 ++++---- 10 files changed, 61 insertions(+), 27 deletions(-) rename src/solvent/{polynomial_excluded.rs => per_kind_excluded.rs} (91%) diff --git a/README.md b/README.md index 10d98e6..0225d2e 100644 --- a/README.md +++ b/README.md @@ -108,7 +108,7 @@ print(f"c1={result.x[0]:.4f}, c2={result.x[1]:.4f}, χ²/N={result.fun:.4f}") | Parameter | Values | Description | |-----------|--------|-------------| -| `excluded` | `"disabled"`, `"fraser"`, `"foxs"`, `"grid"`, `"voronoi"`, `"polynomial"` | Excluded-volume model | +| `excluded` | `"disabled"`, `"fraser"`, `"foxs"`, `"grid"`, `"voronoi"`, `"per-kind"` | Excluded-volume model | | `hydration` | `"disabled"`, `"sasa"`, `"grid"`, `"voronoi"` | Hydration-shell model | | `volume_scale` | float (default 1.0) | Scales excluded volume (PepsiSAXS `r₀`) | | `excluded_spacing` | float (default 1.0) | Grid spacing (Å) for `excluded="grid"` | @@ -131,7 +131,7 @@ subtracted from the atomic scattering via | `foxs` | Same formula as `fraser` but with the FoXS 16π denominator: dummy form factor decays more slowly with q → larger excluded-volume subtraction at high q. Matches FoXS. | `displaced_volume` per atom kind | | `grid` | Fills the molecular envelope with uniform grid cells, each carrying a Fraser Gaussian sized by cell volume (`spacing³`). Independent of per-atom displaced volumes. | `radius` per atom kind | | `voronoi` | Per-atom Fraser Gaussians sized by individual Voronoi cell volumes. Derives displaced volumes geometrically — no tabulated volumes needed. Achieves χ²≈0.20 on lysozyme, comparable to `fraser`. | `radius` per atom kind | -| `polynomial` | Uses per-kind excluded-solvent form factors stored as `excluded_solvent` beside each atom/residue `formfactor` in the same YAML file. | `excluded_solvent` for referenced atom kinds | +| `per-kind` | Uses per-kind excluded-solvent form factors stored as `excluded_solvent` beside each atom/residue `formfactor` in the same YAML file. | `excluded_solvent` for referenced atom kinds | The `fraser` and `foxs` models use per-atom displaced volumes from the form-factor YAML (derived from `radius` as `(4/3)πr³` when @@ -201,7 +201,7 @@ hydrogens that the effective radius does not account for. | File | Description | Best for | |------|-------------|----------| -| `assets/poly_amino_acid.yaml` | Amino-acid bead polynomial form factors with matching `excluded_solvent` polynomials | Cα / single-bead models with `--excluded polynomial` | +| `assets/poly_amino_acid.yaml` | Amino-acid bead polynomial form factors with matching `excluded_solvent` polynomials | Cα / single-bead models with `--excluded per-kind` | | `assets/gaussian_atoms.yaml` | Stovgaard-style atomic/residue form factors; also covers united-atom kinds (CH/CH₂/NH/…) used by atomic PDBs | Atomic PDBs with PepsiSAXS-style solvent models | | `assets/foxs_formfactors.yaml` | Cromer-Mann (Int. Tables Vol. C), FoXS-compatible volumes and SASA radii | Atomic PDB files with `--excluded foxs` | diff --git a/assets/poly_amino_acid.yaml b/assets/poly_amino_acid.yaml index 9f406c6..9c02774 100644 --- a/assets/poly_amino_acid.yaml +++ b/assets/poly_amino_acid.yaml @@ -1,7 +1,15 @@ # -# Amino acid beads with polynomial form factors converted from poly_at2.csv -# Excluded-solvent polynomial coefficients are converted from poly_excl.csv. -# Coefficients preserve all significant digits from the CSV sources. +# Amino-acid beads with polynomial form factors, keeping the excluded +# solvent SEPARATE from the form factor: `formfactor` is the in-vacuo +# bead scattering and the displaced bulk solvent is stored next to it as +# `excluded_solvent`. Use with `--excluded per-kind`, which subtracts the +# excluded-solvent term (scaled by `volume_scale`) at recombination. +# +# For the variant with the excluded solvent already folded into a single +# form factor, see poly_amino_acid_combined.yaml. +# +# Converted from poly_amino_acid.csv. Coefficients preserve all +# significant digits from the CSV source. # ALA: diff --git a/assets/poly_amino_acid_combined.yaml b/assets/poly_amino_acid_combined.yaml index 4e5dff0..d7a12d8 100644 --- a/assets/poly_amino_acid_combined.yaml +++ b/assets/poly_amino_acid_combined.yaml @@ -1,6 +1,15 @@ # -# Amino acid beads with polynomial form factors converted from poly_atev.csv -# Coefficients preserve all significant digits from the CSV source. +# Amino-acid beads with polynomial form factors that already have the +# excluded solvent COMBINED in: each `formfactor` is the in-vacuo bead +# scattering minus the displaced bulk solvent, so there is no separate +# `excluded_solvent` term. Use with `--excluded disabled` — the solvent +# contribution is baked in and not separately fittable via `volume_scale`. +# +# For the variant that keeps the excluded solvent as a separate, +# fittable term, see poly_amino_acid.yaml. +# +# Converted from poly_amino_acid_combined.csv. Coefficients preserve all +# significant digits from the CSV source. # ALA: diff --git a/assets/poly_martini.yaml b/assets/poly_martini.yaml index 2bb36c0..ef82d69 100644 --- a/assets/poly_martini.yaml +++ b/assets/poly_martini.yaml @@ -1,7 +1,15 @@ # -# Martini amino acid bead form factors converted from poly_martini_atomic.csv -# Excluded-solvent polynomial coefficients are converted from poly_martini_excl.csv. -# Coefficients preserve all significant digits from the CSV sources. +# Martini amino-acid bead form factors, keeping the excluded solvent +# SEPARATE from the form factor: `formfactor` is the in-vacuo bead +# scattering and the displaced bulk solvent is stored next to it as +# `excluded_solvent`. Use with `--excluded per-kind`, which subtracts the +# excluded-solvent term (scaled by `volume_scale`) at recombination. +# +# For the variant with the excluded solvent already folded into a single +# form factor, see poly_martini_combined.yaml. +# +# Converted from poly_martini.csv. Coefficients preserve all significant +# digits from the CSV source. # ALA_BB: diff --git a/assets/poly_martini_combined.yaml b/assets/poly_martini_combined.yaml index f52afbd..5df0244 100644 --- a/assets/poly_martini_combined.yaml +++ b/assets/poly_martini_combined.yaml @@ -1,6 +1,15 @@ # -# Martini amino acid bead form factors converted from poly_martini_atev.csv -# Coefficients preserve all significant digits from the CSV source. +# Martini amino-acid bead form factors that already have the excluded +# solvent COMBINED in: each `formfactor` is the in-vacuo bead scattering +# minus the displaced bulk solvent, so there is no separate +# `excluded_solvent` term. Use with `--excluded disabled` — the solvent +# contribution is baked in and not separately fittable via `volume_scale`. +# +# For the variant that keeps the excluded solvent as a separate, +# fittable term, see poly_martini.yaml. +# +# Converted from poly_martini_combined.csv. Coefficients preserve all +# significant digits from the CSV source. # ALA_SC1: diff --git a/pripps-py/src/lib.rs b/pripps-py/src/lib.rs index 75ef2d8..7519b66 100644 --- a/pripps-py/src/lib.rs +++ b/pripps-py/src/lib.rs @@ -274,10 +274,10 @@ fn solvent_from_kwargs( volume_scale, }, "voronoi" => ExcludedVolume::Voronoi { volume_scale }, - "polynomial" => ExcludedVolume::Polynomial { volume_scale }, + "per-kind" | "perkind" => ExcludedVolume::PerKind { volume_scale }, other => { return Err(PyValueError::new_err(format!( - "unknown excluded-volume model: {other} (expected `none`, `fraser`, `foxs`, `grid`, `voronoi`, or `polynomial`)" + "unknown excluded-volume model: {other} (expected `none`, `fraser`, `foxs`, `grid`, `voronoi`, or `per-kind`)" ))); } }; diff --git a/src/cli.rs b/src/cli.rs index 1ae65b9..d7ba387 100644 --- a/src/cli.rs +++ b/src/cli.rs @@ -134,7 +134,7 @@ impl SolventArgs { ExcludedKind::Voronoi => ExcludedVolume::Voronoi { volume_scale: self.volume_scale, }, - ExcludedKind::Polynomial => ExcludedVolume::Polynomial { + ExcludedKind::PerKind => ExcludedVolume::PerKind { volume_scale: self.volume_scale, }, }; @@ -173,7 +173,7 @@ pub enum ExcludedKind { Foxs, Grid, Voronoi, - Polynomial, + PerKind, } /// Which hydration-shell generator to use. diff --git a/src/formfactor.rs b/src/formfactor.rs index ab299ac..99dceb4 100644 --- a/src/formfactor.rs +++ b/src/formfactor.rs @@ -297,7 +297,7 @@ struct AtomSpec { #[serde(alias = "ff")] formfactor: FormFactorSpec, /// Optional excluded-solvent form factor used by - /// `ExcludedVolume::Polynomial`. + /// `ExcludedVolume::PerKind`. excluded_solvent: Option, } diff --git a/src/solvent/mod.rs b/src/solvent/mod.rs index 751c456..ed551dd 100644 --- a/src/solvent/mod.rs +++ b/src/solvent/mod.rs @@ -32,7 +32,7 @@ mod fraser; mod grid; mod grid_excluded; -mod polynomial_excluded; +mod per_kind_excluded; mod sasa; mod voronoi_excluded; mod voronoi_hydration; @@ -133,7 +133,7 @@ impl ExcludedVolume { | Self::FraserFoxs { volume_scale } | Self::Grid { volume_scale, .. } | Self::Voronoi { volume_scale } - | Self::Polynomial { volume_scale, .. } => *volume_scale, + | Self::PerKind { volume_scale, .. } => *volume_scale, } } } @@ -206,7 +206,7 @@ pub enum ExcludedVolume { }, /// Per-kind excluded-solvent form factors stored alongside the /// atom/residue form factors in the same YAML file. - Polynomial { + PerKind { volume_scale: f64, }, } @@ -379,7 +379,7 @@ impl ExcludedVolume { volume_scale: 1.0, }, Self::Voronoi { .. } => Self::Voronoi { volume_scale: 1.0 }, - Self::Polynomial { .. } => Self::Polynomial { volume_scale: 1.0 }, + Self::PerKind { .. } => Self::PerKind { volume_scale: 1.0 }, } .dummies(structure, formfactors, bulk_electron_density) } @@ -412,7 +412,7 @@ impl ExcludedVolume { Self::Voronoi { .. } => { voronoi_excluded::dummies(structure, formfactors, bulk_electron_density) } - Self::Polynomial { .. } => polynomial_excluded::dummies(structure, formfactors), + Self::PerKind { .. } => per_kind_excluded::dummies(structure, formfactors), } } } diff --git a/src/solvent/polynomial_excluded.rs b/src/solvent/per_kind_excluded.rs similarity index 91% rename from src/solvent/polynomial_excluded.rs rename to src/solvent/per_kind_excluded.rs index 38b4e4c..337e6a6 100644 --- a/src/solvent/polynomial_excluded.rs +++ b/src/solvent/per_kind_excluded.rs @@ -3,9 +3,9 @@ // Licensed under the Apache license, version 2.0 (the "license"); // you may not use this file except in compliance with the license. -//! Polynomial excluded-volume dummies from the atom form-factor table. +//! Per-kind excluded-volume dummies from the atom form-factor table. //! -//! For each structure atom/residue, this generator copies a polynomial +//! For each structure atom/residue, this generator copies the per-kind //! excluded-solvent form factor from the same YAML entry as the atomistic //! form factor. @@ -22,7 +22,7 @@ pub(super) fn dummies(structure: &Structure, formfactors: &FormFactorMap) -> Res .excluded_solvent(id) .ok_or_else(|| { Error::validation(format!( - "atom kind {} has no `excluded_solvent`; required by ExcludedVolume::Polynomial", + "atom kind {} has no `excluded_solvent`; required by ExcludedVolume::PerKind", formfactors.kind(id).name() )) })? @@ -32,7 +32,7 @@ pub(super) fn dummies(structure: &Structure, formfactors: &FormFactorMap) -> Res } log::info!( - "Polynomial excluded volume: {} dummies from form-factor table", + "Per-kind excluded volume: {} dummies from form-factor table", positions.len() ); DummySet::per_dummy(positions, form_factors) From 84a1836e9508cdf5fea0d2a88ffce4028d47e2ab Mon Sep 17 00:00:00 2001 From: mlund Date: Tue, 16 Jun 2026 19:12:36 +0200 Subject: [PATCH 20/22] Update examples to `excluded="per-kind"`; rename batch SBA script The PerKind rename of the excluded-volume model broke the example references to the old `excluded="polynomial"` string. Update the batch script and the notebook source cell to `excluded="per-kind"`. Also rename the cryptic batch_sba_sasbdb.py to batch_single_bead_fit_sasbdb.py (matching the notebook's spelled-out "single-bead") and expand SBA/SASBDB in its docstring. --- ...h_sba_sasbdb.py => batch_single_bead_fit_sasbdb.py} | 10 +++++++--- .../examples/testing_single-bead_approximation.ipynb | 2 +- 2 files changed, 8 insertions(+), 4 deletions(-) rename pripps-py/examples/{batch_sba_sasbdb.py => batch_single_bead_fit_sasbdb.py} (95%) diff --git a/pripps-py/examples/batch_sba_sasbdb.py b/pripps-py/examples/batch_single_bead_fit_sasbdb.py similarity index 95% rename from pripps-py/examples/batch_sba_sasbdb.py rename to pripps-py/examples/batch_single_bead_fit_sasbdb.py index dd67016..9db3a88 100644 --- a/pripps-py/examples/batch_sba_sasbdb.py +++ b/pripps-py/examples/batch_single_bead_fit_sasbdb.py @@ -1,5 +1,9 @@ #!/usr/bin/env python3 -"""Run the testing_single-bead_approximation.ipynb workflow over SASBDB cache entries. +"""Batch single-bead-approximation (SBA) fits over SASBDB cache entries. + +Runs the testing_single-bead_approximation.ipynb workflow against a +directory of cached SASBDB (Small Angle Scattering Biological Data Bank) +entries. For each cache directory containing both: - raw_cleaned.xyz or raw_cleaned_martini3_aa.pdb @@ -8,7 +12,7 @@ this script fits (volume_scale, contrast_density) with the same setup as testing_single-bead_approximation.ipynb: - atomfile: assets/poly_amino_acid.yaml (or poly_martini.yaml for Martini3) - - excluded: polynomial using the atomfile's excluded_solvent entries + - excluded: per-kind using the atomfile's excluded_solvent entries - hydration: disabled - optimizer: L-BFGS-B with bounds [(0.95, 1.12), (-2.0, 4.0)] or change them in the script """ @@ -70,7 +74,7 @@ def fit_single( qmin=0.0, qmax=qmax, nq=nq, - excluded="polynomial", + excluded="per-kind", hydration="grid", volume_scale=1.0, probe=1.8, diff --git a/pripps-py/examples/testing_single-bead_approximation.ipynb b/pripps-py/examples/testing_single-bead_approximation.ipynb index 781b594..1277db1 100644 --- a/pripps-py/examples/testing_single-bead_approximation.ipynb +++ b/pripps-py/examples/testing_single-bead_approximation.ipynb @@ -54,7 +54,7 @@ " qmin=0.0,\n", " qmax=0.5,\n", " nq=196,\n", - " excluded=\"polynomial\",\n", + " excluded=\"per-kind\",\n", " volume_scale=1.0, # fit knob c₁ (scales excluded volume)\n", " hydration=\"sasa\", # FoXS-style SASA-weighted hydration shell\n", " probe=1.8, # SASA probe radius (Å)\n", From aff8d143d95dd4b14fb0c204e16d3eb4058faa40 Mon Sep 17 00:00:00 2001 From: mlund Date: Tue, 16 Jun 2026 20:28:15 +0200 Subject: [PATCH 21/22] Document excluded_solvent field and add !Linear example to README The `excluded_solvent` form-factor field was shown in the YAML example and the model/shipped-files tables but never explained: add a property- table row and a paragraph describing that it is a second form factor for the displaced bulk solvent, read only by the `per-kind` excluded-volume model. Also add a `!Linear` example to the YAML snippet so every model in the supported-models table is illustrated. --- README.md | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/README.md b/README.md index 0225d2e..9ea2ac2 100644 --- a/README.md +++ b/README.md @@ -170,6 +170,8 @@ C: { ff: !Gaussian { qrange: [0.0, 1.0], ab: [[0.1, 2.0]], c: 0.4 }, NH: { radius: 1.009, displaced_volume: 7.606, ff: !United { center: N, orbit: [[H, 1.009, 1]] } } CA: { ff: !Alias C } +# Linear combination of other entries (no geometry), F(q) = Σ wᵢ Fᵢ(q): +H2O: { ff: !Linear [[O, 1.0], [H, 2.0]] } ALA: { ff: !Polynomial { qrange: [0.0, 0.75], coeff: [8.9, 0.0, 5.8, ...]}, excluded_solvent: !Polynomial { qrange: [0.0, 0.75], coeff: [7.1, 0.0, 4.2, ...]} } ``` @@ -190,6 +192,7 @@ Supported form factor models: |----------|------|---------|---------------| | `radius` | Å | SASA hydration, Fraser excluded volume | No — must be specified | | `displaced_volume` | ų | Fraser excluded volume | Yes — defaults to (4/3)πr³ from `radius` if omitted | +| `excluded_solvent` | form factor | `per-kind` excluded volume | No — optional; required per species when using `--excluded per-kind` | When `radius` is present but `displaced_volume` is omitted, the displaced volume is automatically derived as the sphere volume @@ -197,6 +200,15 @@ displaced volume is automatically derived as the sphere volume groups (e.g. NH, SH) where the displaced volume includes implicit hydrogens that the effective radius does not account for. +The optional `excluded_solvent` field stores a *second* form factor +(any of the models above) for the bulk solvent each species displaces, +sitting beside its in-vacuo `formfactor` in the same entry. It is read +only by the `per-kind` excluded-volume model (`--excluded per-kind`, or +`excluded="per-kind"` from Python), which subtracts this form factor — +scaled by `volume_scale` — instead of building a Gaussian dummy from +`radius`/`displaced_volume`. Every species present in the structure +must define it when `--excluded per-kind` is selected. + ### Shipped form-factor files | File | Description | Best for | From 0aa1d0972cbee877124945d74eafdd7be4e15e69 Mon Sep 17 00:00:00 2001 From: mlund Date: Tue, 16 Jun 2026 20:32:05 +0200 Subject: [PATCH 22/22] Refresh shipped form-factor files table in README List all seven shipped YAML assets (was three): add stovgaard2010, poly_martini, and both `_combined` variants, pair each `per-kind` file with its `combined` counterpart, and correct the gaussian_atoms entry to note it is a mixed residue-polynomial + atomic-Gaussian table. --- README.md | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 9ea2ac2..6d56ed9 100644 --- a/README.md +++ b/README.md @@ -213,9 +213,13 @@ must define it when `--excluded per-kind` is selected. | File | Description | Best for | |------|-------------|----------| -| `assets/poly_amino_acid.yaml` | Amino-acid bead polynomial form factors with matching `excluded_solvent` polynomials | Cα / single-bead models with `--excluded per-kind` | -| `assets/gaussian_atoms.yaml` | Stovgaard-style atomic/residue form factors; also covers united-atom kinds (CH/CH₂/NH/…) used by atomic PDBs | Atomic PDBs with PepsiSAXS-style solvent models | -| `assets/foxs_formfactors.yaml` | Cromer-Mann (Int. Tables Vol. C), FoXS-compatible volumes and SASA radii | Atomic PDB files with `--excluded foxs` | +| `assets/foxs_formfactors.yaml` | Cromer-Mann (Int. Tables Vol. C) atomic form factors, FoXS-compatible volumes and SASA radii | Atomic PDBs with `--excluded foxs` | +| `assets/gaussian_atoms.yaml` | Mixed table: residue single-bead polynomials plus atomic/united-atom Gaussians (CH/CH₂/NH/…) | Atomic PDBs with PepsiSAXS-style solvent models | +| `assets/stovgaard2010.yaml` | Per-residue form-factor centroids (one-body model, q ∈ [0, 0.75] Å⁻¹) from Stovgaard et al. 2010, | Residue / Cα single-bead models | +| `assets/poly_amino_acid.yaml` | Amino-acid bead polynomials with a separate `excluded_solvent` polynomial per bead | Cα / single-bead with `--excluded per-kind` | +| `assets/poly_amino_acid_combined.yaml` | Amino-acid bead polynomials with the excluded solvent already folded into the form factor | Cα / single-bead with `--excluded disabled` | +| `assets/poly_martini.yaml` | Martini-3 bead polynomials with a separate `excluded_solvent` polynomial per bead | Martini-3 CG with `--excluded per-kind` | +| `assets/poly_martini_combined.yaml` | Martini-3 bead polynomials with the excluded solvent already folded into the form factor | Martini-3 CG with `--excluded disabled` | Gaussian files use b values in the standard s² = (q/4π)² convention (International Tables / Cromer-Mann). The atomic coefficients differ