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lifesciences-proteomics

Resolve protein interaction data across UniProt, STRING, and BioGRID.

Updated Feb 5, 2026
Search Tags:#bioinformatics#databases#enrichment#proteomics#protein#id-mapping#ppi
One-click install
npx skills add https://github.com/donbr/lifesciences-deepagents --skill lifesciences-proteomics
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: lifesciences-proteomics
Source: https://github.com/donbr/lifesciences-deepagents/tree/main/.claude/skills/lifesciences-proteomics
Command: npx skills add https://github.com/donbr/lifesciences-deepagents --skill lifesciences-proteomics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Queries protein databases (UniProt, STRING, BioGRID) to identify protein interactions, map identifiers, and support cross-database enrichment analysis.

Core Features & Use Cases

  • Cross-database protein lookup and ID mapping (UniProt, STRING, BioGRID)
  • Protein-protein interaction (PPI) network retrieval and enrichment
  • Fallback to curl-based queries when MCP tools are unavailable
  • Use Case: A researcher wants to map interactions for a protein and interpret GO terms

Quick Start

Query a protein across UniProt, STRING, and BioGRID to retrieve interactions and cross-reference IDs.

Frequently Asked Questions about lifesciences-proteomics

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

FAQPage Schema
How do I map protein identifiers across UniProt, STRING, and BioGRID?▼

Cross-database protein ID mapping queries UniProt, STRING, and BioGRID to resolve canonical references and metadata. It supports PPI network construction and cross-database enrichment analysis in proteomics research scenarios.

What is the best way to retrieve protein-protein interaction networks for functional enrichment?▼

Protein-protein interaction network retrieval queries STRING and BioGRID to map interactions and interpret GO terms. It supports functional enrichment analysis by generating canonical references and metadata for proteomics research.

Can I query UniProt, STRING, and BioGRID if MCP tools are unavailable?▼

Yes, when MCP tools are unavailable, the system falls back to curl-based queries to retrieve protein interaction data and map identifiers across UniProt, STRING, and BioGRID databases.

Does this approach support slim retrieval modes for PPI network construction?▼

Yes, protein interaction retrieval supports both slim and full retrieval modes for PPI network construction. It resolves cross-database IDs and applies to functional enrichment in proteomics research scenarios.

How do I interpret GO terms after mapping protein interactions across databases?▼

After mapping protein interactions across UniProt, STRING, and BioGRID, functional enrichment analysis interprets GO terms by generating canonical references and metadata for the retrieved protein-protein interaction networks.

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