Self-Driving Drug Discovery: Leveraging Autonomous Research AI to Orchestrate Foundation Models for Molecular Glue Degrader Discovery
2:30 pm - Wednesday 9th December 2026
- Introducing a self-driving drug discovery framework in which LLM-based agents orchestrate domain-specific foundation models to support target prioritization, hypothesis generation, and molecular design
- Highlighting applications to integrate target identification, ternary complex structure prediction, interface-aware molecular design, and degradation activity prediction to efficiently identify productive molecular glues
- Exploring how ID-free DIA-MS proteomics data is incorporated as a multi-modal biological input to support biomarker discovery, enabling more robust target prioritization and validation within the autonomous AI framework
