AI for Drug Design

13
Featured Session · 13 of 35

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.

Topics covered in this session
  • 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