AI for Drug Design
AlphaFold-3 and generative chemistry have moved AI from hype to working pipelines with multiple AI-designed candidates in clinical trials. The session covers AlphaFold-3 in drug design (target prediction, binding-site, complex modelling), generative chemistry platforms (Insilico, Recursion, Isomorphic Labs portfolios), de novo enzyme design via foundation models, ADMET prediction models replacing in vitro panels, single-cell foundation models (Geneformer, scGPT) and clinical applications, and the first AI-designed drugs to reach IND. Discussion addresses quantum-computing applications, the regulatory framework for AI-discovered drugs, the IP landscape for AI-generated structures, and benchmarking real-world performance.
- AlphaFold-3 in design
- Insilico/Recursion/Isomorphic
- De novo enzyme design
- ADMET prediction models
- Geneformer and scGPT
- AI-designed drug IND
- Quantum computing
- AI regulatory framework
Explore the full WCPD 2027 program
- 01Drug Discovery & Design
- 02Clinical Pharmacology
- 03Pharmacogenomics & Precision Medicine
- 04Drug Delivery Systems
- 05Toxicology & Safety Pharmacology
- 06Regulatory Science & Policy
- 07Pharmacovigilance
- 08Biopharmaceuticals
- 09Pharmaceutical Manufacturing
- 10mRNA & RNA Therapeutics
- 11Antibody Engineering
- 12Oligonucleotide Therapeutics
- 14Real-World Evidence
- 15Adaptive Clinical Trials
- 16Pharmaceutical Quality
- 17Generic & Biosimilars
- 18Access & Pricing
- 19Antimicrobial Drug Development
- 20Antiviral Drug Development
- 21Anticancer Therapies
- 22CNS Drugs
- 23Endocrine Drugs
- 24Pediatric Drug Development
- 25Geriatric Pharmacology
- 26Herbal & Natural Products
- 27Drug Repurposing
- 28Orphan Drugs
- 29Combination Therapies
- 30Drug-Drug Interactions
- 31Pharmacoeconomics
- 32Compounding Pharmacy
- 33Hospital Pharmacy
- 34Targeted Protein Degraders
- 35Pharmacovigilance Innovation