Accesses the KEGG REST API for biological pathway analysis, gene mapping, and metabolic network research.
This skill integrates the KEGG (Kyoto Encyclopedia of Genes and Genomes) REST API directly into Claude's workflow, enabling researchers to perform advanced bioinformatics tasks within their development environment. It supports querying pathways, genes, compounds, and enzymes across thousands of organisms, facilitating complex workflows like gene-to-pathway mapping, drug-drug interaction checks, and cross-database identifier conversion for UniProt and NCBI. Designed specifically for academic use, it provides Python-based helpers for retrieving metabolic maps, nucleotide sequences, and molecular structures while automatically managing API constraints and format requirements.
主要功能
010 GitHub stars
02Drug-drug interaction (DDI) analysis and pharmacological research tools
03Cross-database ID conversion for NCBI, UniProt, PubChem, and ChEBI
04Metabolic and molecular interaction network mapping across organisms
05Gene and protein sequence retrieval in FASTA (aaseq/ntseq) formats
06Pathway analysis and visualization in PNG, JSON, and KGML formats
使用场景
01Retrieving chemical structures and metabolic pathways for specific compounds like glucose or ATP
02Converting external genomic identifiers into KEGG-specific IDs for cross-platform data integration
03Mapping differentially expressed genes to biological pathways for enrichment analysis
