بنقرة واحدة
opentargets
Open Targets Platform for target-disease associations and genetic evidence
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Open Targets Platform for target-disease associations and genetic evidence
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Shared operational contract for all MedSci agents: sequential execution, planning phase, retry limits, evidence standards.
Isolated exploratory code execution with medsci-sandbox tools. Use when analysis requires custom code beyond existing domain MCP tools.
AlphaFold DB for predicted protein structures and pLDDT confidence scores
Molecular biology toolkit. Use for FASTA parsing, sequence analysis, and translation.
ChEMBL database access for bioactivity data and target search
Datamol for molecular manipulation, SMILES processing, and cheminformatics
| name | opentargets |
| description | Open Targets Platform for target-disease associations and genetic evidence |
Open Targets integrates genetics, genomics, transcriptomics, drugs, and literature to score target-disease associations. It uses evidence from GWAS, differential expression, pathways, drugs, and more.
import requests
OT_URL = "https://api.platform.opentargets.org/api/v4/graphql"
query = """
query target($id: String!) {
target(ensemblId: $id) {
approvedSymbol
approvedName
associatedDiseases(page: {index: 0, size: 5}) {
rows {
disease { id name }
score
datatypeScores { componentId score }
}
}
}
}
"""
r = requests.post(OT_URL, json={"query": query, "variables": {"id": "ENSG00000141510"}})
data = r.json()["data"]["target"]
search_q = 'query search($q: String!) { search(queryString: $q, entityNames: ["target"], page: {index: 0, size: 5}) { hits { id name entity } } }'
r = requests.post(OT_URL, json={"query": search_q, "variables": {"q": "BRAF"}})
associatedTargets on disease nodes for reverse lookups.