kegg-database

# KEGG Database ## Overview KEGG (Kyoto Encyclopedia of Genes and Genomes) is a comprehensive bioinformatics resource for biological pathway analysis and molecular interaction networks. **Important**: KEGG API is made available only for academic use by academic users. ## When to Use This Skill This skill should be used when querying pathways, genes, compounds, enzymes, diseases, and drugs across multiple organisms using KEGG's REST API. ## Quick Start The skill provides: 1. Python helper functions (`scripts/kegg_api.py`) for all KEGG REST API operations 2. Comprehensive reference documentation (`references/kegg_reference.md`) with detailed API specifications When users request KEGG data, determine which operation is needed and use the appropriate function from `scripts/kegg_api.py`. ## Core Operations ### 1. Database Information (`kegg_info`) Retrieve metadata and statistics about KEGG databases. **When to use**: Understanding database structure, checking available data, getting release information. **Usage**: ```python from scripts.kegg_api import kegg_info # Get pathway database info info = kegg_info('pathway') # Get organism-specific info hsa_info = kegg_info('hsa') # Human genome ``` **Common databases**: `kegg`, `pathway`, `module`, `brite`, `genes`, `genome`, `compound`, `glycan`, `reaction`, `enzyme`, `disease`, `drug` ### 2. Listing Entries (`kegg_list`) List entry identifiers and names from KEGG databases. **When to use**: Getting all pathways for...