Do I need a specific API key to use this skill?

Yes, this skill requires a Valyu API key. You can obtain one at platform.valyu.ai, which typically offers free initial credits for new users.

What databases does the Drug Discovery Search skill cover?

The skill provides simultaneous search across ChEMBL, DrugBank, FDA drug labels, and Open Targets using a single natural language query.

Can I search for molecular structures with this tool?

Yes, queries can identify compounds by name or property, and the search results include image links for molecular structures and data visualizations where available.

Is this skill suitable for drug repurposing research?

Absolutely. Its semantic search capabilities are ideal for identifying connections between existing drug compounds and new therapeutic targets or disease states.

Drug Discovery Search

Name: Drug Discovery Search
Author: yorkeccak

byyorkeccak

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데이터 과학 및 ML

Accelerates pharmaceutical research by enabling semantic natural language search across ChEMBL, DrugBank, Open Targets, and FDA drug labels.

소개

Drug Discovery Search is a specialized Claude Code skill designed for pharmaceutical researchers and biotech developers to navigate complex chemical and biological data effortlessly. By leveraging Valyu's semantic search API, it allows users to perform deep queries across multi-source databases like ChEMBL and DrugBank using plain English instead of complex API parameters. Whether validating targets, optimizing leads, or assessing drug safety, this tool provides unified access to molecular structures, target mechanisms, and clinical data directly within the Claude Code environment, eliminating the need for manual data scraping or complex database queries.

주요 기능

Semantic natural language search across major drug databases
Unified access to ChEMBL, DrugBank, Open Targets, and FDA labels
9 GitHub stars
Automatic retrieval of molecular structures and data visualizations
Full-text access to compound, target, and mechanism-of-action data
Streamlined JSON output for easy integration with data processing tools

사용 사례

Drug repurposing analysis to find new therapeutic uses for existing compounds
Target identification and validation for specific disease pathways
Lead optimization research focusing on blood-brain barrier penetration or toxicity

소개

주요 기능

Semantic natural language search across major drug databases
Unified access to ChEMBL, DrugBank, Open Targets, and FDA labels
9 GitHub stars
Automatic retrieval of molecular structures and data visualizations
Full-text access to compound, target, and mechanism-of-action data
Streamlined JSON output for easy integration with data processing tools

사용 사례

Drug repurposing analysis to find new therapeutic uses for existing compounds
Target identification and validation for specific disease pathways
Lead optimization research focusing on blood-brain barrier penetration or toxicity