Does it provide statistical validation for networks?

Yes, the PPI enrichment operation tests if your protein list has significantly more interactions than expected by chance, helping identify true functional modules.

How do I visualize protein networks using this skill?

The skill includes helper functions to generate PNG visualizations. You can customize these images to show evidence types, confidence scores, or biological actions like inhibition and activation.

Can I use this skill for species other than humans?

Yes, the skill supports over 5,000 organisms. You can specify different species using NCBI taxon IDs, such as 9606 for human, 10090 for mouse, or 7227 for fruit fly.

What types of functional enrichment does it support?

The skill performs enrichment analysis across multiple categories including Gene Ontology (GO), KEGG pathways, Pfam domains, InterPro families, and UniProt keywords.

STRING Protein Interaction Analysis

Name: STRING Protein Interaction Analysis
Author: felixboehm

byfelixboehm

0•

Ciencia de Datos y ML

Queries the STRING database to analyze protein-protein interaction networks and perform functional enrichment for systems biology research.

This skill provides a comprehensive interface for Claude to interact with the STRING REST API, granting access to over 20 billion known and predicted protein-protein interactions across 5,000+ organisms. It enables researchers and bioinformaticians to map protein identifiers, retrieve detailed interaction evidence, perform functional enrichment analysis (GO, KEGG, Pfam), and identify significant biological modules. Whether analyzing differential expression data or exploring novel protein partners, this skill streamlines complex proteomics and systems biology workflows directly within the development environment.

Características Principales

01Calculate PPI enrichment statistics to validate functional connectivity in protein lists.

02Perform functional enrichment analysis for GO terms, KEGG pathways, and protein domains.

03Retrieve high-confidence protein-protein interaction networks with multi-channel evidence scores.

040 GitHub stars

05Generate customizable network visualizations including evidence-based and action-based views.

06Map gene and protein names to canonical STRING identifiers across 5,000+ species.

Casos de Uso

01Interpreting proteomics and differential expression results through pathway enrichment.

02Identifying hub proteins and novel interaction partners for biological target discovery.

03Conducting cross-species protein homology and interaction network comparisons.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add felixboehm/biochem-allergy string-database

For use in Claude.ai and ChatGPT

Características Principales

01Calculate PPI enrichment statistics to validate functional connectivity in protein lists.

02Perform functional enrichment analysis for GO terms, KEGG pathways, and protein domains.

03Retrieve high-confidence protein-protein interaction networks with multi-channel evidence scores.

040 GitHub stars

05Generate customizable network visualizations including evidence-based and action-based views.

06Map gene and protein names to canonical STRING identifiers across 5,000+ species.

Casos de Uso

01Interpreting proteomics and differential expression results through pathway enrichment.

02Identifying hub proteins and novel interaction partners for biological target discovery.

03Conducting cross-species protein homology and interaction network comparisons.