Does this skill handle ID conversion between databases?

Yes, it can convert identifiers between KEGG and external databases including NCBI GeneID, UniProt, ChEBI, and PubChem.

What organisms does this skill support?

It supports all organisms cataloged in the KEGG database using standard organism codes such as hsa (human), mmu (mouse), and eco (E. coli).

How many entries can I retrieve at once?

Most operations support up to 10 entries per request. However, specific formats like images, KGML, or JSON are limited to a single entry per call.

Can I use this skill for commercial purposes?

No, the KEGG API is strictly for academic use by academic users; commercial use requires a separate license from the KEGG organization.

Does it support sequence retrieval?

Yes, you can retrieve both protein sequences (aaseq) and nucleotide sequences (ntseq) in FASTA format using the get operation.

KEGG Bioinformatics Database

Name: KEGG Bioinformatics Database
Author: x-cmd

byx-cmd

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Ciencia de Datos y ML

Accesses the Kyoto Encyclopedia of Genes and Genomes (KEGG) REST API for biological pathway analysis and molecular interaction mapping.

The KEGG Database skill enables Claude to perform comprehensive bioinformatics research by interacting directly with the KEGG REST API. It allows users to query pathways, genes, compounds, and enzymes across multiple organisms, facilitating complex tasks like gene-to-pathway mapping, drug-drug interaction analysis, and identifier conversion between KEGG and external databases like NCBI, UniProt, or PubChem. Designed for academic researchers and data scientists, it streamlines biological data retrieval and metabolic network analysis within an AI-assisted coding environment, providing built-in Python helpers for efficient data processing.

Características Principales

01Gene-to-pathway mapping and metabolic enrichment analysis tools

02Identifier conversion between KEGG, NCBI, UniProt, and PubChem

03Direct REST API access for pathways, genes, and molecular interactions

04Drug-drug interaction (DDI) checking for pharmacological research

058 GitHub stars

06Support for sequence retrieval (FASTA) and chemical structures (MOL/KCF)

Casos de Uso

01Retrieving protein sequences and chemical structures for molecular modeling

02Mapping experimental gene lists to biological pathways for enrichment analysis

03Analyzing metabolic networks and drug interactions for pharmaceutical research

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add x-cmd/skill kegg-database

For use in Claude.ai and ChatGPT

Download Skill