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chembl-database

Query ChEMBL data for molecules, targets, and bioactivity results programmatically.

1|Updated Mar 4, 2026
Search Tags:#bioactivity#drug-discovery#chembl#sar#molecule-search#target-information
One-click install
npx skills add https://github.com/Hung-3008/agusta --skill chembl-database-hung-3008
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: chembl-database
Source: https://github.com/Hung-3008/agusta/tree/main/.agents/skills/chembl-database
Command: npx skills add https://github.com/Hung-3008/agusta --skill chembl-database-hung-3008

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires chembl_webresource_client, pandas, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Researchers and data scientists often need programmatic access to ChEMBL data to rapidly retrieve molecules, targets, and bioactivity information for drug discovery and medicinal chemistry tasks.

Core Features & Use Cases

  • Molecule queries by CHEMBL ID or name to fetch properties
  • Target and mechanism information retrieval and bioactivity filtering
  • SAR exploration and data export for downstream analysis

Quick Start

Use this skill to fetch the details of CHEMBL25 with a single query.

Frequently Asked Questions about chembl-database

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I query ChEMBL bioactivity data for drug discovery programmatically?▼

Query ChEMBL bioactivity data programmatically by retrieving molecules, targets, and bioactivity results using the chembl_webresource_client. This supports compound searches, target retrieval, and bioactivity filtering for medicinal chemistry workflows.

Can I search ChEMBL molecules by similarity and substructure?▼

Yes, ChEMBL molecule searches support both similarity and substructure queries alongside filtering by CHEMBL ID or name. You can retrieve compound properties and paginated results programmatically.

Do I need Python and pandas to retrieve target information from ChEMBL?▼

You need the chembl_webresource_client Python client to retrieve ChEMBL target information. Pandas is optional but recommended for structuring bioactivity results into DataFrames for analysis.

What's the best way to explore SAR data from ChEMBL for medicinal chemistry?▼

Explore ChEMBL SAR data by querying bioactivity results and filtering by target mechanisms. The skill supports SAR exploration and data export to facilitate downstream medicinal chemistry analysis.

How do I fetch drug mechanism details from ChEMBL for a specific target?▼

Fetch drug mechanism details by retrieving target information from ChEMBL using the chembl_webresource_client. You can filter bioactivity results and analyze target mechanisms for drug discovery workflows.

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