kegg-database

You can query KEGG biological pathways by using Python helper functions that provide direct REST API access to retrieve metabolic, signaling, and disease pathway data programmatically. This Skill handles all REST operations for academic research workflows.

Yes, you can convert KEGG IDs to external database identifiers like NCBI Gene and UniProt. The Skill supports identifier conversion to bridge curated biological knowledge across different databases for research.

To map human genes to metabolic pathways, provide a gene identifier like 'hsa:10458' to the Skill. It queries the KEGG API to retrieve all associated pathways, enabling gene-pathway mapping and visualization for biological research.

Yes, the Skill supports drug interaction checks by querying the KEGG database. It provides direct REST API access to explore curated drug interaction data alongside metabolic pathway analysis and compound-to-reaction mapping.

The best way to integrate KEGG pathway analysis is by using this Skill's Python helper functions to programmatically query the REST API. It enables automated retrieval of pathway maps, gene mappings, and ID conversions without manual database searches.

The Skill provides direct REST API access to the KEGG database, meaning results depend on KEGG's curated biological knowledge and API availability. It is designed for academic research workflows rather than real-time clinical data processing.