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ComputingLifeSci

A complete computational biology curriculum — 23 courses covering programming, databases, machine learning, genomics and research infrastructure. Written for biologists, not computer scientists.

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Computational Drug Discovery30 chapters

16. Why This Module Matters
17. RDKit — The Cheminformatics Backbone
18. DeepChem
19. Molecule Generation — Generative AI for Drug Design
20. AI-Driven Drug Discovery — Landscape Overview
21. ADMET, Lipinski's Rule, and Toxicity
22. PK/PD — Pharmacokinetics and Pharmacodynamics
23. Clinical Trials — Computational Contributions
24. The Complete Computational Drug Discovery Pipeline
25. Case Studies
26. Capstone Projects
Specialization Complete — Summary Structure for the Website

/Computational Drug Discovery/Part 3 — AI/ML-Driven Discovery, ADMET & Clinical Translation

Chapter 30 of 301 min read

Specialization Complete — Summary Structure for the Website

Part Focus Modules Part 1 Foundations Pipeline overview, Target ID/Validation, Virtual Screening, QSAR, Docking theory & tools, Binding Pocket Detection Part 2 Structure & Simulation Homology Modeling, AlphaFold,…

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Previous26. Capstone Projects