Biotech Informatics: Genomics, Proteomics, and AI for Drug Discovery
10-module course on bioinformatics — sequence analysis, protein folding, molecular docking, and AI-driven drug discovery.
Key Highlights
- ✓ 10 modules with coding labs
- ✓ Genomic sequence analysis (BLAST, alignment)
- ✓ Protein folding with AlphaFold
- ✓ Molecular docking and virtual screening
- ✓ AI for drug discovery pipelines
- ✓ Capstone: identify a drug candidate
Overview
A 10-module course on bioinformatics and computational biology. Covers sequence analysis, protein structure prediction, molecular docking, and AI-driven drug discovery.
What's Inside
Course Content
Modules: (1) Molecular Biology Basics, (2) Sequence Analysis, (3) Genomic Data Processing, (4) Protein Structure Prediction, (5) AlphaFold and ESMFold, (6) Molecular Docking, (7) Virtual Screening, (8) ADMET Prediction, (9) AI in Drug Discovery, (10) Capstone Project.
Tools and Platforms
Hands-on with Biopython, RDKit, AutoDock Vina, PyMOL, and AlphaFold. Students process real genomic data and run virtual drug screening campaigns.
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