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🧬 Exploring Bioinformatics, AI & Drug Discovery
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🧬 Exploring Bioinformatics, AI & Drug Discovery
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biotech-py/README.md

Hi, I'm Nirupam Joarder 👋

🎓 Biotechnology Graduate | NIT Rourkela

🧬 Bioinformatics | Computational Biology | Structural Biology

🤖 Machine Learning | Data Analytics | AI for Biomedical Research | Computational Drug Discovery

💻 Python | Biopython | SQL | Streamlit

🚀 Building AI-driven solutions for bioinformatics, drug discovery, and biomedical research.

🔬 Research Interests

  • Structural Bioinformatics
  • Protein Structure Analysis
  • Protein-Ligand Interaction Analysis
  • Computational Drug Discovery
  • Cancer Biology
  • Molecular Docking
  • AI for Drug Discovery
  • Biomedical Data Science

🚀 Featured Projects

🧬 Bioinformatics & Computational Biology

Project Description
🏆 EGFR T790M Computational Drug Discovery Molecular docking and inhibitor screening against the EGFR T790M drug-resistance mutation using AutoDock Vina and PyMOL.
⚠️ EGFR T790M Drug Resistance Analysis 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.

📚 Bioinformatics Learning Journey

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

🌱 Phase 1 — Foundations of Bioinformatics

• Primate Insulin Comparative Analysis
• Insulin Mutation Impact Analysis

🧬 Phase 2 — Structural Biology

• p53 AlphaFold Structure Analysis

💊 Phase 3 — Protein–Ligand Interactions

• EGFR Gefitinib Interaction Analysis

⚠️ Phase 4 — Drug Resistance Mechanisms

• EGFR T790M Drug Resistance Analysis

🚀 Phase 5 — Computational Drug Discovery

• EGFR T790M Computational Drug Discovery

🤖 AI & Biomedical Research

BIOMEDICAL RESEARCH PAPER ANALYZER

LIVE DEMO

🦴 Biomaterials & Biomedical Engineering

MAGNESIUM IMPLANT DIGITAL TWIN

LIVE DEMO

📊 Healthcare Analytics & Machine Learning

Diabetes Risk Prediction & Clinical Analytics

Clinical Data Analytics

Biomedical EDA

🎯 Current Interests

  • Computational Drug Discovery
  • Structural Bioinformatics
  • Molecular Docking & Virtual Screening
  • Cancer Biology
  • AI for Drug Discovery
  • Biomedical Data Science

🛠 Core Skills

Bioinformatics

  • BioPython
  • Structural Bioinformatics
  • Protein Structure Analysis
  • Protein–Ligand Interaction Analysis
  • Molecular Docking (AutoDock Vina)
  • Binding Pocket Analysis
  • Comparative Sequence Analysis
  • AlphaFold Structure Analysis

Programming & Analytics

  • Python
  • SQL
  • Pandas
  • NumPy
  • Matplotlib
  • Streamlit

AI & Research

  • Biomedical Research Analytics
  • Clinical Data Analytics
  • AI Applications in Drug Discovery
  • Generative AI Applications
  • Scientific Computing

🚀 Currently Building

🤖 AI Drug Discovery Scientist Roadmap

⚗️ Advanced Molecular Docking & Virtual Screening

🧬 Molecular Dynamics Simulations (GROMACS)

📊 Transcriptomics & RNA-seq Analysis

🧠 AI Applications in Drug Discovery

📊 GitHub Stats

📈 Contribution Graph

Nirupam's github activity graph

📫 Connect With Me

📧 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.

Pinned Loading

  1. p53-AlphaFold-Structure-Analysis p53-AlphaFold-Structure-Analysis Public

    AlphaFold-powered structural bioinformatics workflow for cancer-associated p53 mutations, including stability, confidence, and hotspot analysis.

    Jupyter Notebook

  2. EGFR_T790M_Computational_Drug_Discovery EGFR_T790M_Computational_Drug_Discovery Public

    AI-assisted structure-based drug discovery workflow for EGFR T790M resistance mutation using molecular docking, interaction analysis, and lead prioritization.

    Jupyter Notebook

  3. Biomedical-Research-Paper-Analyzer Biomedical-Research-Paper-Analyzer Public

    AI-powered biomedical research paper analyzer using Gemini AI and Streamlit.

    Python

  4. EGFR_Gefitinib_Interaction_Analysis EGFR_Gefitinib_Interaction_Analysis Public

    Structural bioinformatics analysis of EGFR-Gefitinib interactions using BioPython.

    Jupyter Notebook

  5. Insulin-Mutation-Impact-Analysis Insulin-Mutation-Impact-Analysis Public

    Computational analysis of disease-associated insulin mutations using BioPython and structural bioinformatics.

    Jupyter Notebook

  6. Magnesium_Implant_Digital_Twin Magnesium_Implant_Digital_Twin Public

    AI-powered digital twin for magnesium implant evaluation using corrosion, wettability, adhesion, FESEM, FTIR, and XRD characterization data.

    Python