chembl-database

Topics in the source

• ChEMBL Database
• Overview
• When to Use This Skill
• Installation and Setup
• Python Client
• Basic Usage Pattern
• Core Capabilities
• 1. Molecule Queries

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. 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 The ChEMBL Python client is required for programmatic access: Retrieve by ChEMBL ID: Search by name: Filter by properties: Retrieve target information: Search for specific target types: Query activi

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