Does this skill provide network visualizations?

Yes, it can generate PNG images of interaction networks, with options to color lines by evidence type, confidence levels, or molecular actions.

What confidence levels are supported for protein interactions?

Users can set confidence thresholds from 0 to 1000, with standard settings for low (150), medium (400), high (700), and highest (900) confidence.

What is the STRING database used for in this skill?

It is used to retrieve known and predicted protein-protein interactions, covering 59M proteins across more than 5,000 organisms for systems biology research.

How does the skill handle different species?

You can specify NCBI taxon IDs, such as 9606 for humans or 10090 for mice, to perform species-specific interaction and enrichment queries.

Can I perform functional enrichment analysis with this skill?

Yes, the skill supports enrichment analysis for Gene Ontology (GO), KEGG pathways, Pfam domains, and more, helping to characterize protein lists.

STRING Protein Interaction Analysis

Name: STRING Protein Interaction Analysis
Author: Zehong-Wang

byZehong-Wang

0•

データサイエンスとML

Accesses and analyzes protein-protein interaction networks and functional enrichment data using the STRING database API.

The STRING Database skill empowers researchers and bioinformaticians to programmatically interact with one of the world's largest protein-protein interaction resources. It facilitates the retrieval of interaction networks across over 5,000 species, enabling users to map protein identifiers, perform functional enrichment analysis (GO, KEGG, Pfam), and visualize complex biological pathways directly through Claude. Whether discovering novel interaction partners or validating functional modules in systems biology, this skill streamlines the transition from raw protein lists to actionable biological insights.

主な機能

01Retrieve evidence-based protein interaction networks with adjustable confidence thresholds

02Identify hub proteins and conduct cross-species homology comparisons

03Perform functional enrichment analysis including GO terms, KEGG pathways, and Pfam domains

04Generate high-quality network visualizations with evidence-colored relationships

05Map gene and protein names to canonical STRING identifiers across 5,000+ species

060 GitHub stars

ユースケース

01Validating protein complexes and functional associations using evidence-based scoring

02Expanding a list of seed proteins to discover novel interaction partners and network connectivity

03Analyzing differential expression data to identify enriched biological pathways and modules

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zehong-wang/kosmos string-database

For use in Claude.ai and ChatGPT

Download Skill