Can I retrieve pathway images directly?

Yes, the kegg_get function allows you to retrieve pathway maps in image (PNG) or KGML (XML) formats for visualization.

Which biological identifiers can I convert?

The skill supports conversions between KEGG IDs and external databases including ncbi-geneid, ncbi-proteinid, uniprot, pubchem, and chebi.

What organisms are supported by this skill?

It supports any organism cataloged in KEGG, including human (hsa), mouse (mmu), fruit fly (dme), yeast (sce), and E. coli (eco).

Is this skill free for commercial use?

No. While the skill is free, the KEGG API itself is strictly for academic use only. Commercial users must obtain a separate license from KEGG.

Does it support batch queries?

Yes, most functions like kegg_get and kegg_list support multiple entries (up to 10 per request) for efficient data retrieval.

KEGG Database Connector

Name: KEGG Database Connector
Author: K-Dense-AI

byK-Dense-AI

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3,719

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Data Science & ML

Facilitates direct REST API access to the Kyoto Encyclopedia of Genes and Genomes for biological pathway analysis and molecular mapping.

This skill empowers researchers and bioinformaticians to interact directly with the KEGG database through Claude, enabling advanced biological workflows such as pathway enrichment, gene-to-pathway mapping, and drug-drug interaction analysis. By providing Python-based helper functions for the KEGG REST API, it streamlines the retrieval of genomic, chemical, and systemic functional information, making it an essential tool for academic research involving metabolic pathways and molecular interaction networks.

Key Features

01Direct REST API access to KEGG databases

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

033,719 GitHub stars

04Drug-drug interaction (DDI) lookups and contraindication analysis

05Gene-to-pathway mapping and enrichment analysis

06Biological sequence retrieval in FASTA, MOL, and KCF formats

Use Cases

01Integrating KEGG data with external databases for cross-platform bioinformatics

02Mapping metabolic pathways and identifying molecular interaction networks

03Conducting pathway enrichment analysis for genomic and proteomic research

Key Features

01Direct REST API access to KEGG databases

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

033,719 GitHub stars

04Drug-drug interaction (DDI) lookups and contraindication analysis

05Gene-to-pathway mapping and enrichment analysis

06Biological sequence retrieval in FASTA, MOL, and KCF formats

Use Cases

01Integrating KEGG data with external databases for cross-platform bioinformatics

02Mapping metabolic pathways and identifying molecular interaction networks

03Conducting pathway enrichment analysis for genomic and proteomic research