kegg-database
Direct REST API access to KEGG (academic use only). Pathway analysis, gene-pathway mapping, metabolic pathways, drug interactions, ID conversion. For Python workflows with multiple databases, prefer bioservices. Use this for direct HTTP/REST work or KEGG-specific control.
Security Assessment
About kegg-database
The kegg-database skill provides direct REST API access to the KEGG (Kyoto Encyclopedia of Genes and Genomes), serving as a vital resource for those involved in bioinformatics. This skill enables users to perform pathway analysis, gene-pathway mapping, and explore metabolic pathways, drug interactions, and ID conversions. By leveraging this skill, researchers can efficiently query biological pathways, genes, compounds, enzymes, diseases, and drugs across various organisms, thereby streamlining the process of data retrieval and analysis in their academic research or projects.
FAQ
What types of data can I retrieve using the kegg-database skill?
You can retrieve information about pathways, genes, compounds, enzymes, diseases, and drugs.
Is there a specific user group that can utilize this API?
Yes, the KEGG API is available for academic use only.
What are the common formats for data output?
Data can be retrieved in various formats including protein FASTA, nucleotide FASTA, MOL format, JSON, and images.
Can I use this skill for commercial purposes?
No, this skill is intended for academic use only.
What programming language is this skill designed for?
The skill is designed for use with Python.
Install kegg-database
Quick Setup:
- Copy the skill folder to
.claude/skills/ - Claude will automatically detect and use the skill
Repository
davila7/claude-code-templates