Panel Discussion: Combining AI Platform Technologies to Move from Structural Insight to Informed Drug Design Decisions
- Leveraging foundation models to navigate complex protein systems (multi-domain, membrane-embedded, inducedproximity targets) that exceed the limits of single-structure or single-model approaches
- Combining AI-driven protein design with experimental structure generation to resolve ambiguity in binding modes, conformational states, and interaction interfaces
- Closing the loop between AI predictions and wet-lab validation by continuously retraining models on construct performance, structural success, and functional readouts