drug-db-chembl

Official

Build model-ready drug discovery datasets

Authorlearningmatter-mit
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill removes the manual effort of assembling curated, provenance-preserving ChEMBL datasets for targets, molecules, and bioactivity measurements.

Core Features & Use Cases

  • Target discovery: Find candidate ChEMBL targets by gene/protein name or resolve targets by UniProt accession.
  • Model-ready bioactivity retrieval: Download bioactivity records with curation filters for potency type, assay type, standardized units, equality relations, and optional pChEMBL constraints.
  • Molecule lookup and chemical search: Retrieve molecule records by ChEMBL ID/InChIKey or search by SMILES using similarity or substructure.
  • Use Case: Generate an EGFR binding-potency dataset (IC50 in nM with equality-only labels and pChEMBL filtering) suitable for QSAR/ML training and quick inspection via CSV export.

Quick Start

Query ChEMBL for EGFR IC50 binding activities filtered to standardized nM values with equality relation and pChEMBL >= 5.0, and save them to a JSON file.

Dependency Matrix

Required Modules

None required

Components

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💻 Claude Code Installation

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Please help me install this Skill:
Name: drug-db-chembl
Download link: https://github.com/learningmatter-mit/AtomisticSkills/archive/main.zip#drug-db-chembl

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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