kegg-database
KEGG Database — Biological Pathway & Molecular Network Queries
Overview
KEGG (Kyoto Encyclopedia of Genes and Genomes) is a comprehensive bioinformatics resource for biological pathway analysis, molecular interaction networks, and cross-database ID conversion. Access is via a direct REST API with no authentication — all operations use simple HTTP GET requests returning tab-delimited text.
When to Use
- Mapping genes to biological pathways (e.g., "which pathways involve TP53?")
- Retrieving metabolic pathway details, gene lists, or compound structures
- Converting identifiers between KEGG, NCBI Gene, UniProt, and PubChem
- Checking drug-drug interactions from KEGG's pharmacological database
- Building pathway enrichment context (all genes per pathway for an organism)
- Cross-referencing compounds, reactions, enzymes, and pathways
- For Python-native multi-database queries (KEGG + UniProt + Ensembl in one script), prefer
bioservicesinstead - For pathway visualization, use KEGG Mapper (https://www.kegg.jp/kegg/mapper/) directly
Prerequisites
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