🎓 Biotechnology Graduate | NIT Rourkela
🧬 Bioinformatics | Computational Biology | Structural Biology
🤖 Machine Learning | Deep Learning | AI for Biomedical Research | Computational Drug Discovery
💻 Python | Biopython | SQL | Streamlit | YOLOv8 | QGIS
🚀 Building AI-driven solutions for bioinformatics, drug discovery, and biomedical research.
- Structural Bioinformatics
- Protein Structure Analysis
- Protein-Ligand Interaction Analysis
- Computational Drug Discovery
- Cancer Biology
- Molecular Docking
- AI for Drug Discovery
- Biomedical Data Science
- Deep Learning for Medical Imaging
- Climate & Environmental Bioinformatics
| Project | Description |
|---|---|
| 🏆 EGFR T790M Computational Drug Discovery | Molecular docking and inhibitor screening against the EGFR T790M drug-resistance mutation using AutoDock Vina and PyMOL. |
| Structural investigation of the clinically important EGFR T790M mutation and its role in resistance to first-generation EGFR inhibitors. | |
| 💊 EGFR Gefitinib Interaction Analysis | Protein–ligand interaction analysis of the EGFR–Gefitinib complex with binding pocket characterization and structural visualization. |
| 🧬 p53 AlphaFold Structure Analysis | Structural analysis of the tumor suppressor protein p53 using AlphaFold predictions and bioinformatics tools. |
| 🧪 Insulin Mutation Impact Analysis | Computational investigation of disease-associated insulin mutations and their structural consequences. |
| 🌍 Primate Insulin Comparative Analysis | Comparative sequence and evolutionary analysis of insulin across different primate species. |
Primate Insulin Comparative Analysis
↓
Insulin Mutation Impact Analysis
↓
p53 AlphaFold Structure Analysis
↓
EGFR Gefitinib Interaction Analysis
↓
EGFR T790M Drug Resistance Analysis
↓
EGFR T790M Computational Drug Discovery
• Primate Insulin Comparative Analysis
• Insulin Mutation Impact Analysis
• p53 AlphaFold Structure Analysis
• EGFR Gefitinib Interaction Analysis
• EGFR T790M Drug Resistance Analysis
• EGFR T790M Computational Drug Discovery
Deep learning-based blood cell detection, classification, and counting using YOLOv8, OpenCV, Gradio, and Hugging Face Spaces.
Climate Stress Assessment using Sentinel-2 Satellite Imagery and NDVI-Based Vegetation Health Analysis with QGIS and Remote Sensing.
- Computational Drug Discovery
- Structural Bioinformatics
- Molecular Docking & Virtual Screening
- Cancer Biology
- AI for Drug Discovery
- Biomedical Data Science
- Deep Learning for Medical Imaging
- Remote Sensing & Earth Observation
Bioinformatics
- BioPython
- Structural Bioinformatics
- Protein Structure Analysis
- Protein–Ligand Interaction Analysis
- Molecular Docking (AutoDock Vina)
- Binding Pocket Analysis
- Comparative Sequence Analysis
- AlphaFold Structure Analysis
Deep Learning & Computer Vision
- YOLOv8
- OpenCV
- Medical Image Analysis
- Object Detection & Classification
GIS & Remote Sensing
- QGIS
- Sentinel-2 Satellite Imagery
- NDVI Analysis
- Earth Observation
Programming & Analytics
- Python
- SQL
- Pandas
- NumPy
- Matplotlib
- Streamlit
- Gradio
AI & Research
- Biomedical Research Analytics
- Clinical Data Analytics
- AI Applications in Drug Discovery
- Generative AI Applications
- Scientific Computing
- Hugging Face Spaces
🤖 AI Drug Discovery Scientist Roadmap
⚗️ Advanced Molecular Docking & Virtual Screening
🧬 Molecular Dynamics Simulations (GROMACS)
📊 Transcriptomics & RNA-seq Analysis
🧠 AI Applications in Drug Discovery
🛰️ Advanced Remote Sensing & Climate Bioinformatics
📧 Email: joardernirupam@gmail.com
💼 LinkedIn: https://www.linkedin.com/in/nirupam-joarder
🐙 GitHub: https://github.com/biotech-py
⭐ Exploring the intersection of Bioinformatics, Computational Biology, AI, and Drug Discovery.