How does semantic search differ from standard database searching?

Semantic search understands the context and meaning behind your query, allowing you to find relevant drug-disease data even if you don't use the exact technical terminology found in the database.

Can I use this skill to find genetic evidence for diseases?

Yes, the skill can specifically search for genetic associations, including loss-of-function variants and their protective or pathogenic effects.

Does this skill require an external API key?

Yes, it requires a Valyu API key. You can sign up at platform.valyu.ai to receive $10 in free credits to start searching.

What is Open Targets Search for Claude Code?

It is a specialized skill that allows the Claude Code AI to query the Open Targets database for scientific data regarding drugs, diseases, and their associations using natural language.

Open Targets Search

Name: Open Targets Search
Author: yorkeccak

byyorkeccak

•

데이터 과학 및 ML

Performs natural language semantic searches across the Open Targets database for drug-disease associations and target validation.

소개

The Open Targets Search skill empowers researchers and developers to access the vast Open Targets repository of drug-disease associations and target validation data directly through Claude Code. By leveraging Valyu's semantic search API, the skill translates natural language queries into comprehensive data sets, including genetic evidence, pathway analysis, and therapeutic scores, without requiring complex API parameter construction. It is an essential tool for bioinformaticians and precision medicine researchers looking to validate therapeutic hypotheses or prioritize drug targets within their development workflow.

주요 기능

9 GitHub stars
Comprehensive access to drug-disease association data and evidence scores
Support for retrieving data visualizations and pathway images
Automated retrieval of target validation data and genetic evidence for specific conditions
Developer-friendly JSON output optimized for processing with tools like jq
Semantic search capability that understands natural language intent over simple keyword matching

사용 사례

Gathering genetic evidence for loss-of-function variants and therapeutic hypotheses
Identifying drug repurposing opportunities via pathway and association analysis
Validating drug targets and prioritizing candidates for disease research

소개

주요 기능

9 GitHub stars
Comprehensive access to drug-disease association data and evidence scores
Support for retrieving data visualizations and pathway images
Automated retrieval of target validation data and genetic evidence for specific conditions
Developer-friendly JSON output optimized for processing with tools like jq
Semantic search capability that understands natural language intent over simple keyword matching

사용 사례

Gathering genetic evidence for loss-of-function variants and therapeutic hypotheses
Identifying drug repurposing opportunities via pathway and association analysis
Validating drug targets and prioritizing candidates for disease research