
open-targets-search
by yorkeccak
Natural language scientific literature search skills with semantic search over PubMed, arXiv, ChEMBL, DrugBank, bioRxiv, medRxiv, clinical trials, and more with zero API complexity.
SKILL.md
name: open-targets-search description: Search Open Targets drug-disease associations with natural language queries. Target validation powered by Valyu semantic search. keywords:
- open-targets
- drug-targets
- target-validation
- disease-associations
- precision-medicine
- semantic-search license: MIT
Open Targets Search
Search the complete Open Targets database of drug-disease associations and target validation data using natural language queries powered by Valyu's semantic search API.
Why This Skill is Powerful
- No API Parameter Parsing: Just pass natural language queries directly - no need to construct complex search parameters
- Semantic Search: Understands the meaning of your query, not just keyword matching
- Full-Text Access: Returns complete target-disease association data with evidence scores
- Image Links: Includes data visualizations when available
- Comprehensive Coverage: Access to all Open Targets drug-disease association data
Requirements
- Node.js 18+ (uses built-in fetch)
- Valyu API key from https://platform.valyu.ai ($10 free credits)
CRITICAL: Script Path Resolution
The scripts/search commands in this documentation are relative to this skill's installation directory.
Before running any command, locate the script using:
OPEN_TARGETS_SCRIPT=$(find ~/.claude/plugins/cache -name "search" -path "*/open-targets-search/*/scripts/*" -type f 2>/dev/null | head -1)
Then use the full path for all commands:
$OPEN_TARGETS_SCRIPT "JAK2 inhibitors" 15
API Key Setup Flow
When you run a search and receive "setup_required": true, follow this flow:
-
Ask the user for their API key: "To search Open Targets, I need your Valyu API key. Get one free ($10 credits) at https://platform.valyu.ai"
-
Once the user provides the key, run:
scripts/search setup <api-key> -
Retry the original search.
When to Use This Skill
- Target validation for diseases
- Drug-disease associations
- Target prioritization for research
- Genetic evidence for targets
- Target-disease pathway analysis
- Therapeutic hypothesis validation
Output Format
{
"success": true,
"type": "open_targets_search",
"query": "JAK2 inhibitors",
"result_count": 10,
"results": [
{
"title": "Target-Disease Association",
"url": "https://platform.opentargets.org/...",
"content": "Association data, evidence, scores...",
"source": "open-targets",
"relevance_score": 0.95,
"images": ["https://example.com/pathway.png"]
}
],
"cost": 0.025
}
Processing Results
With jq
# Get association titles
scripts/search "query" 10 | jq -r '.results[].title'
# Get URLs
scripts/search "query" 10 | jq -r '.results[].url'
# Extract full content
scripts/search "query" 10 | jq -r '.results[].content'
Common Use Cases
Target Validation
# Find target evidence
scripts/search "kinase targets in inflammatory diseases" 50
Drug Repurposing
# Search for repurposing opportunities
scripts/search "drugs targeting IL-6 pathway" 20
Genetic Evidence
# Find genetic associations
scripts/search "loss of function variants protective effects" 15
Disease Mechanism
# Search for mechanistic insights
scripts/search "immune checkpoint targets in cancer" 25
Error Handling
All commands return JSON with success field:
{
"success": false,
"error": "Error message"
}
Exit codes:
0- Success1- Error (check JSON for details)
API Endpoint
- Base URL:
https://api.valyu.ai/v1 - Endpoint:
/search - Authentication: X-API-Key header
Architecture
scripts/
├── search # Bash wrapper
└── search.mjs # Node.js CLI
Direct API calls using Node.js built-in fetch(), zero external dependencies.
Adding to Your Project
If you're building an AI project and want to integrate Open Targets Search directly into your application, use the Valyu SDK:
Python Integration
from valyu import Valyu
client = Valyu(api_key="your-api-key")
response = client.search(
query="your search query here",
included_sources=["valyu/valyu-open-targets"],
max_results=20
)
for result in response["results"]:
print(f"Title: {result['title']}")
print(f"URL: {result['url']}")
print(f"Content: {result['content'][:500]}...")
TypeScript Integration
import { Valyu } from "valyu-js";
const client = new Valyu("your-api-key");
const response = await client.search({
query: "your search query here",
includedSources: ["valyu/valyu-open-targets"],
maxResults: 20
});
response.results.forEach((result) => {
console.log(`Title: ${result.title}`);
console.log(`URL: ${result.url}`);
console.log(`Content: ${result.content.substring(0, 500)}...`);
});
See the Valyu docs for full integration examples and SDK reference.
Score
Total Score
Based on repository quality metrics
SKILL.mdファイルが含まれている
ライセンスが設定されている
100文字以上の説明がある
GitHub Stars 100以上
3ヶ月以内に更新がある
10回以上フォークされている
オープンIssueが50未満
プログラミング言語が設定されている
1つ以上のタグが設定されている
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