skills.rest
Rawgrowth-Consulting
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drug-discovery

Consolidates medicinal chemistry data into a drug-discovery briefing using ChEMBL, Lipinski/Veber metrics, OpenFDA, ADMET interpretation, and OpenTargets disease associations.

Updated Apr 23, 2026
Search Tags:#bioactivity#cheminformatics#drug-discovery#admet#medicinal-chemistry#veber#ro5
One-click install
npx skills add https://github.com/Rawgrowth-Consulting/rawclaw-agent --skill drug-discovery
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: drug-discovery
Source: https://github.com/Rawgrowth-Consulting/rawclaw-agent/tree/main/optional-skills/research/drug-discovery
Command: npx skills add https://github.com/Rawgrowth-Consulting/rawclaw-agent --skill drug-discovery

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Consolidates disparate medicinal chemistry data into a single, actionable drug-discovery briefing.

Core Features & Use Cases

  • Bioactive compound search (ChEMBL) to identify targets and activities.
  • Drug-likeness and ADMET evaluation via PubChem, OpenFDA, and Open Targets context for lead prioritization.
  • OpenTargets literature context for target-disease associations to guide hypothesis generation.
  • Use Case: Rapidly shortlist candidate molecules for lead optimization and compare properties at a glance.

Quick Start

Provide a molecule name (e.g., aspirin) to initiate an automated drug-discovery query and receive a data-driven summary of bioactivity, property metrics, and safety considerations.

Frequently Asked Questions about drug-discovery

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I consolidate ChEMBL bioactivity and ADMET data for drug discovery?▼

You can aggregate drug discovery data by inputting a molecule name to retrieve ChEMBL bioactivity, OpenFDA interactions, and OpenTargets disease associations into a single actionable briefing.

Can I evaluate Lipinski Ro5 and Veber metrics for lead prioritization using open APIs?▼

Yes, drug-likeness evaluation computes Lipinski Ro5 and Veber metrics by querying free REST APIs like PubChem and OpenFDA to support informed lead prioritization.

What do I need to run cheminformatics queries for medicinal chemistry data aggregation?▼

Running cheminformatics queries requires Python 3 and curl to access free REST APIs, fetch bioactivity data, and compute drug-likeness metrics for medicinal chemistry analysis.

How does OpenTargets integration help with target-disease associations in medicinal chemistry?▼

OpenTargets integration maps target-disease associations using literature context, enabling researchers to generate hypotheses and guide drug discovery by linking bioactive compounds to disease areas.

What are the limitations of using free REST APIs for drug discovery data aggregation?▼

Limitations include dependency on external free REST API availability for ChEMBL and OpenFDA, requiring continuous network connectivity, and potential rate limiting during compound searches.

When should I use automated cheminformatics aggregation for drug discovery briefings?▼

Use automated cheminformatics aggregation to rapidly shortlist candidate molecules for lead optimization, comparing bioactivity, property metrics, and safety considerations at a glance.

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