Breaking news 📢 We are excited to announce our new journal article that presents the comprehensive drug data in ChEMBL. The paper describes the state-of-the-art processes to curate and integrate the high-quality drug and clinical candidate drug data. The drug curation processes have been developed over more than 15 years and this is the first time that they have been published. https://pubs.acs.org/doi/10.1021/acs.jmedchem.5c00920 Published as a 'Perspectives' article in the Journal of Medicinal Chemistry, the paper educates ChEMBL users, helping them to understand the nature of the drug and clinical candidate data and the rationale that underlies curation decisions. G iven the increasing reliance on high-quality data in computational drug discovery, AI and machine learning, the integrated nature of the drug data within the ChEMBL bioactivity resource is a critical asset. This is a bumper week for drug data in ChEMBL! On Monday, our latest ChEMBL 36 release included ...
The Organization of Drug Discovery Data
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