lifesciences-pharmacology

Name: lifesciences-pharmacology
Availability: InStock
Author: donbr

Retrieve validated pharmacology data from ChEMBL, Open Targets, PubChem, and IUPHAR via MCP queries.

Updated Feb 5, 2026

Search Tags:#bioactivity #data-integration #chembl #opentargets #pharmacology #drug-indications #drug-mechanisms

Ready to run

npx skills add https://github.com/donbr/lifesciences-deepagents --skill lifesciences-pharmacology

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: lifesciences-pharmacology
Source: https://github.com/donbr/lifesciences-deepagents/tree/main/.claude/skills/lifesciences-pharmacology
Command: npx skills add https://github.com/donbr/lifesciences-deepagents --skill lifesciences-pharmacology

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Researchers often need to access and integrate pharmacology data from multiple sources to understand drug mechanisms, targets, and indications with validated results.

Core Features & Use Cases

Drug mechanism discovery across ChEMBL, Open Targets, PubChem, and IUPHAR via MCP-powered queries of structured results.
Target identification and cross-referencing with cross-database links to canonical identifiers.
Bioactivity profiling (IC50, Ki, EC50) and indications retrieval with provenance.
Deterministic LOCATE → RETRIEVE workflows; curl fallback when MCP is unavailable.

Quick Start

Query a known drug or target to retrieve full pharmacology metadata using MCP tools, with a curl fallback if MCP is unavailable.

Frequently Asked Questions about lifesciences-pharmacology

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

FAQPage Schema

How do I retrieve drug mechanisms and bioactivity data from ChEMBL and Open Targets?▼

You can retrieve drug mechanisms and bioactivity data by querying known drugs or targets to return full pharmacology metadata. The Skill uses a deterministic LOCATE → RETRIEVE workflow across ChEMBL, Open Targets, PubChem, and IUPHAR to provide validated, API-derived results.

Can I query pharmacology data if the MCP server is unavailable?▼

Yes, you can query pharmacology data when MCP is unavailable because the Skill includes a curl fallback mechanism. This ensures you still retrieve structured results and maintain data provenance when the primary MCP-powered query tools are inaccessible.

What is the difference between slim mode and full retrieve for bioactivity profiling?▼

Slim mode performs fast locate operations to quickly identify relevant pharmacology entries, while full retrieve executes complete validation to extract detailed bioactivity metrics like IC50, Ki, and EC50 with strict data provenance.

Does this tool enforce data provenance for drug indications and target identification?▼

Yes, the tool enforces data provenance by requiring API-derived results for all drug indications and target identification tasks. It cross-references queries with canonical identifiers across multiple databases to ensure the validated results are traceable.

What pharmacology databases are supported for cross-referencing target identification?▼

The supported databases for cross-referencing target identification are ChEMBL, Open Targets, PubChem, and IUPHAR. The Skill queries these sources via MCP-powered tools to link targets to canonical identifiers and retrieve validated bioactivity profiles.

Are there rate-limit considerations when retrieving indications and bioactivity metrics?▼

Yes, there are rate-limit considerations when retrieving indications and bioactivity metrics. The Skill provides clear reliability and rate-limit guidance to manage requests across ChEMBL, Open Targets, PubChem, and IUPHAR APIs during the retrieve workflow.