Is this skill free for commercial use?

No, the KEGG API and this skill are strictly for academic use by academic users; commercial use requires a separate license from KEGG.

Can I retrieve protein sequences with this skill?

Yes, you can use the kegg_get function with the 'aaseq' parameter to retrieve protein sequences in FASTA format for specific gene IDs.

Can I visualize metabolic pathways?

Yes, the skill allows you to retrieve pathway images in PNG format and pathway structures in JSON or KGML formats for visualization and modeling.

Does it support ID conversion to UniProt or NCBI?

Yes, the skill includes identifier conversion support for UniProt, NCBI-GeneID, NCBI-ProteinID, PubChem, and ChEBI.

KEGG Biological Pathway Analysis

Name: KEGG Biological Pathway Analysis
Author: Activer007

byActiver007

Ciencia de Datos y ML

Connects Claude to the KEGG REST API for advanced biological pathway analysis, gene mapping, and molecular network discovery.

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This skill provides a comprehensive interface for academic researchers to interact with the Kyoto Encyclopedia of Genes and Genomes (KEGG) directly within Claude Code. It enables seamless workflows for querying metabolic pathways, mapping genes to orthology groups, searching chemical compounds, and analyzing drug-drug interactions. By integrating specialized Python helpers, it allows users to perform complex bioinformatics tasks such as gene-to-pathway enrichment context and cross-database identifier conversion (NCBI, UniProt, PubChem) without leaving their development environment.

Características Principales

High-speed ID conversion between KEGG, NCBI, UniProt, and PubChem
0 GitHub stars
Retrieval of protein (FASTA) and nucleotide sequences
Molecular interaction and drug-drug interaction (DDI) analysis
Direct REST API access to KEGG pathways, genomes, and compounds
Visual pathway map (PNG) and KGML data extraction

Casos de Uso

Investigating chemical structures and drug interactions for pharmacological studies
Mapping experimental gene lists to metabolic and signaling networks
Performing pathway enrichment analysis for genomic research

Acerca de

Características Principales

High-speed ID conversion between KEGG, NCBI, UniProt, and PubChem
0 GitHub stars
Retrieval of protein (FASTA) and nucleotide sequences
Molecular interaction and drug-drug interaction (DDI) analysis
Direct REST API access to KEGG pathways, genomes, and compounds
Visual pathway map (PNG) and KGML data extraction

Casos de Uso

Investigating chemical structures and drug interactions for pharmacological studies
Mapping experimental gene lists to metabolic and signaling networks
Performing pathway enrichment analysis for genomic research