kegg-database

Provides Python-based access to the KEGG REST API for pathway, gene, compound, and drug interaction queries.

Updated Mar 10, 2026
One-click install
npx skills add https://github.com/felixboehm/biochem-allergy --skill kegg-database-felixboehm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kegg-database
Source: https://github.com/felixboehm/biochem-allergy/tree/main/.claude/skills/kegg-database
Command: npx skills add https://github.com/felixboehm/biochem-allergy --skill kegg-database-felixboehm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides direct access to the KEGG database, enabling users to query biological pathways, genes, compounds, and drug interactions programmatically.

Core Features & Use Cases

  • Pathway Analysis: Retrieve detailed pathway maps and information for various organisms.
  • Gene/Compound Mapping: Link genes to pathways, compounds to reactions, and convert IDs between databases.
  • Drug Interaction Checks: Identify potential drug-drug interactions.
  • Use Case: Researchers can use this Skill to find all human genes associated with a specific metabolic pathway or to check for interactions between a list of drugs.

Quick Start

Use the kegg-database skill to find all human pathways linked to the gene 'hsa:10458'.

Frequently Asked Questions about kegg-database

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I query KEGG biological pathways for a specific gene?

You can find all human pathways linked to a specific gene by using this Skill to perform gene-pathway mapping, which utilizes Python helper functions to interact with the KEGG REST API and retrieve the associated biological pathways.

What is the best way to check for drug-drug interactions in bioinformatics workflows?

The best way to check for potential drug-drug interactions in bioinformatics workflows is to use this Skill to programmatically query the KEGG database, which identifies and retrieves interaction data directly through REST API calls.

Can I convert biological compound IDs between different databases using KEGG?

Yes, you can convert compound IDs between different databases using KEGG. This Skill provides programmatic access to link compounds to reactions and convert IDs across supported biological databases for academic research.

Does this KEGG database access require any external dependencies?

No, accessing the KEGG database through this Skill requires no external dependencies. It utilizes built-in Python helper functions and scripts to directly interact with the KEGG REST API for pathway analysis and compound information.

When do I need to query compound information from the KEGG database?

You need to query compound information from the KEGG database when conducting biological pathway analysis or mapping compounds to reactions. This Skill allows researchers to retrieve detailed compound data programmatically for academic research.