Agent SkillsRunchuan-BU/BioClaw › query-opentarget

query-opentarget

GitHub

查询OpenTargets平台API,获取药物靶点、疾病关联及治疗证据。适用于药物靶点验证、疾病机制分析及药病关系查询场景。

container/skills/query-opentarget/SKILL.md Runchuan-BU/BioClaw

Trigger Scenarios

drug target target validation disease association therapeutic target opentarget

Install

npx skills add Runchuan-BU/BioClaw --skill query-opentarget -g -y
More Options

Non-standard path

npx skills add https://github.com/Runchuan-BU/BioClaw/tree/main/container/skills/query-opentarget -g -y

Use without installing

npx skills use Runchuan-BU/BioClaw@query-opentarget

指定 Agent (Claude Code)

npx skills add Runchuan-BU/BioClaw --skill query-opentarget -a claude-code -g -y

安装 repo 全部 skill

npx skills add Runchuan-BU/BioClaw --all -g -y

预览 repo 内 skill

npx skills add Runchuan-BU/BioClaw --list

SKILL.md

Frontmatter
{
    "name": "query-opentarget",
    "description": "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\"."
}

OpenTargets Platform Query

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?"

Version History

  • a79b8c4 Current 2026-07-25 11:44

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Metadata

Files
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Version
a79b8c4
Hash
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Indexed
2026-07-25 11:44

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