opentargets-disease-target
Retrieve disease-associated targets from Open Targets using disease EFO IDs to identify therapeutic targets.
Best use case
opentargets-disease-target is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Retrieve disease-associated targets from Open Targets using disease EFO IDs to identify therapeutic targets.
Teams using opentargets-disease-target should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/opentargets-disease-target/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How opentargets-disease-target Compares
| Feature / Agent | opentargets-disease-target | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Retrieve disease-associated targets from Open Targets using disease EFO IDs to identify therapeutic targets.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Open Targets Disease-Target Association
## Usage
```python
import asyncio
import json
from mcp.client.streamable_http import streamablehttp_client
from mcp import ClientSession
class OrigeneClient:
def __init__(self, server_url: str, api_key: str):
self.server_url = server_url
self.api_key = api_key
self.session = None
async def connect(self):
try:
self.transport = streamablehttp_client(url=self.server_url, headers={"SCP-HUB-API-KEY": self.api_key})
self.read, self.write, self.get_session_id = await self.transport.__aenter__()
self.session_ctx = ClientSession(self.read, self.write)
self.session = await self.session_ctx.__aenter__()
await self.session.initialize()
return True
except Exception as e:
return False
async def disconnect(self):
if self.session:
await self.session_ctx.__aexit__(None, None, None)
if hasattr(self, 'transport'):
await self.transport.__aexit__(None, None, None)
def parse_result(self, result):
if isinstance(result, dict):
content_list = result.get("content") or []
else:
content_list = getattr(result, "content", []) or []
texts = []
for item in content_list:
if isinstance(item, dict):
if item.get("type") == "text":
texts.append(item.get("text") or "")
else:
if getattr(item, "type", None) == "text":
texts.append(getattr(item, "text", "") or "")
return "".join(texts)
## Initialize and use
client = OrigeneClient("https://scp.intern-ai.org.cn/api/v1/mcp/15/Origene-OpenTargets", "<your-api-key>")
await client.connect()
result = await client.session.call_tool("get_associated_targets_by_disease_efoId", arguments={"efoId": "EFO_0000400"})
print(client.parse_result(result))
await client.disconnect()
```
### Tool: `get_associated_targets_by_disease_efoId`
- Args: `efoId` (str) - Disease EFO ID (e.g., "EFO_0000400" for diabetes)
- Returns: List of target genes with association scores
### Use Cases
- Drug target discovery, disease mechanism research, precision medicineRelated Skills
disease_protein_profiling
Disease Protein Profiling - Profile a disease protein: UniProt data, AlphaFold structure, InterPro domains, phenotype associations from Ensembl. Use this skill for medical proteomics tasks involving query uniprot download alphafold structure query interpro get phenotype gene. Combines 4 tools from 2 SCP server(s).
antibody_target_analysis
Antibody-Target Analysis - Analyze an antibody target: UniProt protein info, InterPro domains, protein properties, and biotherapeutic data from ChEMBL. Use this skill for immunology tasks involving get uniprotkb entry by accession query interpro ComputeProtPara get biotherapeutic by name. Combines 4 tools from 4 SCP server(s).
rare_disease_genetics
Rare Disease Genetic Analysis - Analyze rare disease genetics: Monarch phenotype-disease mapping, ClinVar variants, NCBI gene data, and OpenTargets. Use this skill for rare disease genetics tasks involving get HPO ID by phenotype get joint associated diseases by HPO ID list clinvar search get associated targets by disease efoId. Combines 4 tools from 3 SCP server(s).
gene_therapy_target
Gene Therapy Target Analysis - Analyze gene therapy target: gene info, variant pathogenicity, protein structure, and clinical evidence. Use this skill for gene therapy tasks involving get gene metadata by gene name get vep hgvs Protein structure prediction ESMFold clinvar search. Combines 4 tools from 4 SCP server(s).
gene_disease_association
Gene-Disease Association Analysis - Analyze gene-disease associations: NCBI gene metadata, OpenTargets disease associations, TCGA expression, and Monarch phenotypes. Use this skill for medical genetics tasks involving get gene metadata by gene name get associated targets by disease efoId get gene expression across cancers get joint associated diseases by HPO ID list. Combines 4 tools from 4 SCP server(s).
infectious_disease_analysis
Infectious Disease Analysis - Analyze infectious disease: virus data, taxonomy, antimicrobial drugs, and resistance literature. Use this skill for infectious disease tasks involving get virus dataset report get taxonomy get mechanism of action by drug name pubmed search. Combines 4 tools from 3 SCP server(s).
drug_target_identification
Drug Target Identification Pipeline - Identify drug targets for a disease by querying OpenTargets for associated targets, then retrieve detailed target info from ChEMBL and protein data from UniProt. Use this skill for drug discovery tasks involving get associated targets by disease efoId get target by name get general info by protein or gene name. Combines 3 tools from 3 SCP server(s).
disease_knowledge_graph
Disease Knowledge Graph - Build disease knowledge graph: OpenTargets targets, drugs, publications, and phenotypes. Use this skill for disease informatics tasks involving get associated targets by disease efoId get associated drugs by target name get publications by drug name get associated phenotypes by disease efoId. Combines 4 tools from 1 SCP server(s).
disease_drug_landscape
Disease-Drug Landscape Analysis - Map the drug landscape for a disease: OpenTargets disease drugs, FDA indications, and clinical studies. Use this skill for drug discovery tasks involving get associated drugs by target name get drug names by indication get clinical studies info by drug name. Combines 3 tools from 2 SCP server(s).
disease_compound_pipeline
Disease-Specific Compound Screening - Screen compounds for disease: get DLEPS score for disease relevance, predict ADMET, and check drug-likeness. Use this skill for drug discovery tasks involving calculate dleps score pred molecule admet calculate mol drug chemistry get compound by name. Combines 4 tools from 3 SCP server(s).
drugsda-target-retrieve
Search the protein information from the input gene name and downloads the optimal PDB or AlphaFold structures.
drug_target_structure
Drug-Target Structural Biology - Integrate drug and target structure: get drug from ChEMBL, target structure from PDB, dock them, and predict ADMET. Use this skill for structural pharmacology tasks involving get drug by name retrieve protein data by pdbcode quick molecule docking pred molecule admet. Combines 4 tools from 3 SCP server(s).