关于
The ChEMBL Database skill empowers AI agents to programmatically query over 2 million bioactive molecules, 19 million bioactivity measurements, and 13,000+ drug targets curated by the European Bioinformatics Institute. It facilitates complex drug discovery workflows, including similarity and substructure searches, target-ligand relationship mapping, and Structure-Activity Relationship (SAR) studies. By integrating the ChEMBL Python client, researchers and developers can automate data extraction for molecular properties, drug mechanisms, and clinical candidates directly within their coding environment, enabling rapid data-driven hypothesis testing in cheminformatics.
