ADMET

Case Study: AI Structural Biology (AISB) Network fine-tunes OpenFold3 (Columbia University) on Proprietary Pharma Data

The Consortium brings together biopharmaceutical companies and federated learning technology to push the boundaries of AI-driven drug discovery.

  • Leverage complementary industrial ADMET data beyond your own assays.
  • Navigate from poor profiles or drop weak series earlier using better-calibrated ADMET predictions and uncertainty estimates on novel chemistry.
  • Design more informative batches and use experimental capacity better in DMTA cycles.