Description: Accelerating the impact of AI-driven Drug Discovery
biotech (645) drug (627) discovery (623) computational (82) chemists (29) ai-driven (14) critical assessments (3) hit findig (3)
Calling all computational chemists and artificial intelligence (AI)-savvy scientists from academia, biotech and pharma to participate in the CACHE Challenges to predict small molecules (hits) that bind to disease-associated protein targets.
Each CACHE Challenge will focus on a specific protein target of biological or pharmaceutical relevance. Participants will predict hits and CACHE will validate these hits experimentally. Each competition includes a hit-finding and a hit expansion round of prediction and experimental testing after which all data, including chemical structures, will be made publicly available without restrictions on use.
Finding ligands targeting the TKB domain of CBLB