Biology & Drug Discovery
AI and machine learning applications in biology, drug discovery, and life sciences.
Overview
AI is transforming biological research and drug discovery. Key areas include:
- Drug Discovery — ADMET prediction, virtual screening, lead optimization
- Protein Science — Structure prediction, protein design
- Genomics — Sequence analysis, gene expression
- Biotechnology — Protein engineering, synthetic biology
Quick Start
| Goal | Resource |
|---|---|
| Learn drug discovery ML | Resources — AI in Drug Discovery course |
| Hands-on tutorials | Tutorials — TeachOpenCADD |
| Explore tools | Tools — DeepChem, DGL-LifeSci |
| Find datasets | Datasets |
Communities
OpenBioML
Decentralized, collaborative research community for open source ML and open science to accelerate biotechnology.
- Focus: Biotechnology, drug discovery, protein engineering
- Format: Open research collaborations, shared datasets
- Platform: Discord
Key Research Groups
- Coley Group (MIT) — Synthesis planning, ML for chemistry
- Baker Lab (UW) — Protein design
Note: This section is actively growing. We’re adding resources for AlphaFold, protein design, and genomics ML.