Schematic of AI-driven target discovery (IMAGE)

Xia & He Publishing Inc.

Schematic of AI-driven target discovery

Caption

Integrating computational models (SELFormer, AlphaFold2, scConGraph, PROTAC-RL) with multi-omics data to validate historically undruggable targets (e.g., KRAS via sotorasib/glecirasib/adagrasib), enabling patient-specific screening and prioritization through clinical data (CT/EHR) and computational screening. AI, artificial intelligence; CT, computed tomography; EHR, electronic health record; KRAS, kirsten rat sarcoma viral oncogene homolog; PROTAC-RL, proteolysis-targeting chimeras (PROTAC)-reinforcement learning.

Credit

Jiang-Jiang Qin

Usage Restrictions

Credit must be given to the creator. Only noncommercial uses of the work are permitted.

License

CC BY-NC

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.