KEGG Pathway Database Query

SkillAI & models

Query KEGG for biological pathways and gene info. Use when user asks about metabolic pathways, signaling pathways, pathway genes, or KEGG IDs. Triggers on "kegg", "pathway", "metabolic pathway", "signaling pathway", "pathway genes".

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the KEGG Pathway Database Query skill

What this skill tells your AI

The instructions your AI receives, as published by biotender-max/awesome-bio-agent-skills in skills/bioclaw/query-kegg/SKILL.md and read by ahel’s review.

Query the KEGG REST API for biological pathways, genes, and compounds.

When to Use

  • User asks about biological pathways (glycolysis, apoptosis, etc.)
  • User wants to find which pathways a gene is in
  • User asks about KEGG pathway IDs
  • User wants pathway gene lists

How to Execute

import requests

BASE_URL = "https://rest.kegg.jp"

# 1. Find pathways by keyword
def find_pathways(keyword, organism="hsa"):
    url = f"{BASE_URL}/find/pathway/{keyword}"
    r = requests.get(url)
    lines = r.text.strip().split('\n')
    results = []
    for line in lines:
        if line:
            parts = line.split('\t')
            pid = parts[0].replace("map", organism) if organism else parts[0]
            results.append({"id": pid, "name": parts[1] if len(parts) > 1 else ""})
    return results

# 2. Get pathway details
def get_pathway(pathway_id):
    url = f"{BASE_URL}/get/{pathway_id}"
    r = requests.get(url)
    return r.text

# 3. Get genes in a pathway
def get_pathway_genes(pathway_id):
    url = f"{BASE_URL}/link/genes/{pathway_id}"
    r = requests.get(url)
    genes = []
    for line in r.text.strip().split('\n'):
        if line:
            parts = line.split('\t')
            if len(parts) >= 2:
                genes.append(parts[1])
    return genes

# 4. Get gene info
def get_gene(kegg_gene_id):
    url = f"{BASE_URL}/get/{kegg_gene_id}"
    r = requests.get(url)
    return r.text

# 5. Find genes by name
def find_gene(gene_name, organism="hsa"):
    url = f"{BASE_URL}/find/{organism}/{gene_name}"
    r = requests.get(url)
    return r.text

# 6. List all human pathways
def list_pathways(organism="hsa"):
    url = f"{BASE_URL}/list/pathway/{organism}"
    r = requests.get(url)
    return r.text

# Example
pathways = find_pathways("apoptosis")
for p in pathways[:5]:
    print(f"{p['id']}: {p['name']}")

API Pattern

https://rest.kegg.jp/<operation>/<argument>

OperationExampleUse
list/list/pathway/hsaList all human pathways
find/find/pathway/cancerSearch by keyword
get/get/hsa:672Get BRCA1 gene info
link/link/genes/hsa00010Get genes in pathway
conv/conv/genes/ncbi-geneid:672Convert IDs

Organism Codes

  • hsa = Human, mmu = Mouse, rno = Rat, dme = Fly, sce = Yeast, eco = E. coli

Follow-up Suggestions

  • "Want me to get the full gene list for this pathway?"
  • "Should I visualize which of your genes overlap with this pathway?"
  • "Want me to check related pathways?"

Signals

GitHub stars
178
Forks
32
Last commit
Jul 2026
Advanced
Catalog kind
skill
Gateway key
query-kegg
Source
github.com/biotender-max/awesome-bio-agent-skills