diff --git a/inst/modeldb/therapeuticArea/oncology_sdm_lobo_2002.R b/inst/modeldb/therapeuticArea/oncology_sdm_lobo_2002.R
index 439c26693..b581d6f97 100644
--- a/inst/modeldb/therapeuticArea/oncology_sdm_lobo_2002.R
+++ b/inst/modeldb/therapeuticArea/oncology_sdm_lobo_2002.R
@@ -23,12 +23,15 @@ oncology_sdm_lobo_2002 <- function() {
 
     drugEffectTumorVol <- kmax*Cc/(ec50 + Cc)
 
-    tumorVol(0) <- tumorVol0
     d/dt(tumorVol) <- kng*tumorVol - transit4*tumorVol
     d/dt(transit1) <- (drugEffectTumorVol - transit1)/tau
     d/dt(transit2) <- (transit1 - transit2)/tau
     d/dt(transit3) <- (transit2 - transit3)/tau
     d/dt(transit4) <- (transit3 - transit4)/tau
+
+    tumorVol(0) <- tumorVol0
+
+
     tumorVol ~ prop(tumorVolpropSd) + add(tumorVoladdSd)
   })
 }
diff --git a/inst/modeldb/therapeuticArea/oncology_xenograft_simeoni_2004.R b/inst/modeldb/therapeuticArea/oncology_xenograft_simeoni_2004.R
index e3dc25c87..a9ea92232 100644
--- a/inst/modeldb/therapeuticArea/oncology_xenograft_simeoni_2004.R
+++ b/inst/modeldb/therapeuticArea/oncology_xenograft_simeoni_2004.R
@@ -17,6 +17,10 @@ oncology_xenograft_simeoni_2004 <- function() {
     tumorVoladdSd <- 30 ; label("Additive residual error (tumor volume)")
   })
   model({
+    cmt(cyclingCells)
+    cmt(damagedCells1)
+    cmt(damagedCells2)
+    cmt(damagedCells3)
     damageTransit <- exp(ldamageTransit)
     drugSlope <- exp(ldrugSlope)
     tumorExpGrowth <- exp(ltumorExpGrowth)
diff --git a/man/modeldb.Rd b/man/modeldb.Rd
index 96c7a6d5a..e6e48fc8a 100644
--- a/man/modeldb.Rd
+++ b/man/modeldb.Rd
@@ -5,7 +5,18 @@
 \alias{modeldb}
 \title{Model library for nlmixr2}
 \format{
-An object of class \code{data.frame} with 17 rows and 9 columns.
+A data frame with 17 rows and 9 columns
+\describe{
+  \item{name}{Model name that can be used to extract the model from the model library}
+  \item{description}{Model description in free from text; in model itself}
+  \item{parameters}{A comma separated string listing either the parameter in the model defined by population/individual effects or a population effect parameter}
+  \item{DV}{The definition of the dependent variable(s)}
+  \item{linCmt}{Logical flag indicating if solved models are used (TRUE) or not (FALSE)}
+  \item{algebraic}{Logical flag indicating if the model is purely algebraic: TRUE no linCmt() and no ODEs; FALSE otherwise}
+  \item{dosing}{A comma separated string of identified dosing compartments}
+  \item{depends}{A comma separated string of objects the model depends on}
+  \item{filename}{Filename of the model.  By default these are installed in the model library and read on demand}
+}
 }
 \usage{
 modeldb