ChEMBL Database

Overview

ChEMBL is a manually curated database of bioactive molecules maintained by the European Bioinformatics Institute (EBI), containing over 2 million compounds, 19 million bioactivity measurements, 13,000+ drug targets, and data on approved drugs and clinical candidates. Access and query this data programmatically using the ChEMBL Python client for drug discovery and medicinal chemistry research.

When to Use This Skill

This skill should be used when:

• Compound searches: Finding molecules by name, structure, or properties
• Target information: Retrieving data about proteins, enzymes, or biological targets
• Bioactivity data: Querying IC50, Ki, EC50, or other activity measurements
• Drug information: Looking up approved drugs, mechanisms, or indications
• Structure searches: Performing similarity or substructure searches
• Cheminformatics: Analyzing molecular properties and drug-likeness
• Target-ligand relationships: Exploring compound-target interactions
• Drug discovery: Identifying inhibitors, agonists, or bioactive molecules