Query KEGG REST API for pathways, genes, compounds, and ID conversion.
npx skills add https://github.com/Yezez9/Research-Agent --skill kegg-database-yezez9
Please help me install this Agent Skill. Skill: kegg-database Source: https://github.com/Yezez9/Research-Agent/tree/main/scientific-skills/kegg-database Command: npx skills add https://github.com/Yezez9/Research-Agent --skill kegg-database-yezez9
This Skill provides direct access to the KEGG database, enabling users to query biological pathways, genes, compounds, and drug interactions programmatically.
Use the kegg-database skill to find all human pathways linked to the gene 'hsa:10458'.
High-intent search queries and answers about installing and using this skill.
You can query KEGG biological pathways for gene mapping programmatically by using this Skill's Python helper functions to access the KEGG REST API, retrieving detailed metabolic and genetic pathway information directly.
Yes, you can convert KEGG gene identifiers to UniProt or NCBI IDs by utilizing the Skill's ID conversion features, which map identifiers between the KEGG database and external biological databases for academic research workflows.
To retrieve compound and drug interaction data from the KEGG database, the Skill provides direct REST API access to query molecular interactions, enabling you to check for potential drug-drug interactions programmatically.
No, this KEGG API integration does not require installing external Python dependencies, as the Skill operates independently with built-in Python helper functions to execute all KEGG REST API operations for pathway analysis.
The best way to find all human genes associated with a metabolic pathway like Glycolysis is using this Skill to query the KEGG REST API, which retrieves all linked human genes and their corresponding external database IDs.
This Skill provides direct REST API access for KEGG pathway analysis, meaning limitations are bound by standard KEGG API rate limits and query constraints, making it best suited for targeted academic research workflows rather than massive batch retrieval.
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