OpenTargets Platform Query

SkillAI & models

Query OpenTargets for drug targets, disease associations, and therapeutic evidence. Use when user asks about drug targets, disease mechanisms, target validation, or drug-disease associations. Triggers on "opentarget", "drug target", "target validation", "disease association", "therapeutic target", "drug for disease".

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 OpenTargets Platform 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-opentarget/SKILL.md and read by ahel’s review.

Query the OpenTargets Platform GraphQL API for drug-target-disease associations.

When to Use

  • User asks about drug targets for a disease
  • User wants disease-gene associations
  • User asks about drugs targeting a specific gene
  • User wants evidence for target validation

How to Execute

import requests
import json

OPENTARGETS_URL = "https://api.platform.opentargets.org/api/v4/graphql"

def query_opentargets(graphql_query, variables=None):
    payload = {"query": graphql_query, "variables": variables or {}}
    r = requests.post(OPENTARGETS_URL, json=payload, headers={"Content-Type": "application/json"})
    r.raise_for_status()
    return r.json()

# 1. Search for a target (gene)
def search_target(gene_name):
    query = '''
    query searchTarget($name: String!) {
      search(queryString: $name, entityNames: ["target"], page: {index: 0, size: 5}) {
        hits { id name description entity }
      }
    }'''
    return query_opentargets(query, {"name": gene_name})

# 2. Get diseases associated with a target
def target_diseases(ensembl_id, size=10):
    query = '''
    query targetDiseases($ensemblId: String!, $size: Int!) {
      target(ensemblId: $ensemblId) {
        id approvedSymbol approvedName
        associatedDiseases(page: {index: 0, size: $size}) {
          count
          rows { disease { id name } score
            datasourceScores { componentId score } }
        }
      }
    }'''
    return query_opentargets(query, {"ensemblId": ensembl_id, "size": size})

# 3. Get targets for a disease
def disease_targets(disease_id, size=10):
    query = '''
    query diseaseTargets($diseaseId: String!, $size: Int!) {
      disease(efoId: $diseaseId) {
        id name
        associatedTargets(page: {index: 0, size: $size}) {
          count
          rows { target { id approvedSymbol approvedName } score }
        }
      }
    }'''
    return query_opentargets(query, {"diseaseId": disease_id, "size": size})

# 4. Get drugs for a target
def target_drugs(ensembl_id):
    query = '''
    query targetDrugs($ensemblId: String!) {
      target(ensemblId: $ensemblId) {
        id approvedSymbol
        knownDrugs(size: 10) {
          count
          rows { drug { id name } mechanismOfAction phase status
            disease { id name } }
        }
      }
    }'''
    return query_opentargets(query, {"ensemblId": ensembl_id})

# 5. Search diseases
def search_disease(disease_name):
    query = '''
    query searchDisease($name: String!) {
      search(queryString: $name, entityNames: ["disease"], page: {index: 0, size: 5}) {
        hits { id name description entity }
      }
    }'''
    return query_opentargets(query, {"name": disease_name})

# Example: Find top drug targets for Alzheimer's
result = search_disease("Alzheimer")
hits = result.get("data", {}).get("search", {}).get("hits", [])
if hits:
    disease_id = hits[0]["id"]
    targets = disease_targets(disease_id, size=5)
    disease = targets.get("data", {}).get("disease", {})
    print(f"Disease: {disease.get('name')} ({disease.get('id')})")
    for row in disease.get("associatedTargets", {}).get("rows", []):
        t = row["target"]
        print(f"  {t['approvedSymbol']} ({t['approvedName']}) — score: {row['score']:.3f}")

Common Disease IDs (EFO)

  • Alzheimer's: EFO_0000249
  • Breast cancer: EFO_0000305
  • Type 2 diabetes: EFO_0001360
  • Parkinson's: EFO_0002508

Follow-up Suggestions

  • "Want me to check what drugs are in clinical trials for this target?"
  • "Should I look at the evidence breakdown by data source?"
  • "Want me to find the top genetic associations?"

Signals

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