Query kegg
Skill BioTender-max/awesome-bio-agent-skills/skills/bioclaw/query-kegg
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".From its SKILL.md
npx -y skills add BioTender-max/awesome-bio-agent-skills --skill query-keggAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
SKILL.md
2.8 KB, 753 tokens by cl100k_base, as published. Nobody here has run it
KEGG Pathway Database Query
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>
| Operation | Example | Use |
|---|---|---|
list | /list/pathway/hsa | List all human pathways |
find | /find/pathway/cancer | Search by keyword |
get | /get/hsa:672 | Get BRCA1 gene info |
link | /link/genes/hsa00010 | Get genes in pathway |
conv | /conv/genes/ncbi-geneid:672 | Convert 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?"
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.