AI in Drug Discovery
AlphaFold-3 and generative chemistry have moved AI from hype to working drug pipelines with multiple AI-designed candidates reaching clinical trials. The session covers protein structure and complex prediction (AlphaFold-3, RoseTTAFold All-Atom), generative chemistry platforms (Insilico, Recursion, Isomorphic Labs), ADMET prediction models replacing in vitro panels, foundation models for single-cell biology (Geneformer, scGPT), and the first AI-designed drugs to file IND. Discussion addresses quantum computing in molecular simulation, the regulatory framework for AI-discovered drugs, intellectual property considerations around AI-generated structures, and benchmarking real-world performance of AI platforms against traditional medicinal chemistry.
- AlphaFold-3 and RoseTTAFold All-Atom
- Generative chemistry platforms
- ADMET prediction models
- Foundation models (Geneformer, scGPT)
- Quantum computing in molecular simulation
- AI-designed drug IND filings
- AI drug regulatory framework
- IP for AI-generated structures
Explore the full GSBG 2027 program
- 01Synthetic Biology & Biomanufacturing
- 02Genetic Engineering & CRISPR
- 03Tissue Engineering & Biomaterials
- 04Medical Devices & Sensors
- 05Bioinformatics & Computational Biology
- 06Drug Delivery Systems
- 07Biomechanics & Prosthetics
- 08Regulatory & Bioethics
- 09Industrial Biotechnology
- 11Cell & Gene Therapy
- 12Stem Cell Research
- 13Antibody-Drug Conjugates
- 14Vaccines & Immunotherapy
- 15Microbiome Engineering
- 16Nanomedicine
- 17Personalized Medicine
- 18Bioethics & Governance
- 19Marine Biotechnology
- 20Plant Biotechnology
- 21Agricultural Biotech
- 22Environmental Biotech
- 23Single-Cell Biology
- 24Spatial Biology
- 25Organoids & Organ-on-Chip
- 26Lab Automation
- 27Biosecurity
- 28Synthetic Genomics
- 29Bioprinting
- 30Biosensors & Diagnostics
- 31Liquid Biopsy
- 32Multi-Cancer Early Detection
- 33Continuous Biomanufacturing
- 34Decentralised Manufacturing
- 35RNA Editing