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drug-discovery

Integrate ChEMBL, PubChem, OpenFDA, and OpenTargets data for drug discovery workflows.

Updated Jul 13, 2026
Search Tags:#research#bioinformatics#cheminformatics#chemistry#drug-discovery#pharmacology
One-click install
npx skills add https://github.com/zangjeicy/Hermes --skill drug-discovery-zangjeicy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: drug-discovery
Source: https://github.com/zangjeicy/Hermes/tree/main/optional-skills/research/drug-discovery
Command: npx skills add https://github.com/zangjeicy/Hermes --skill drug-discovery-zangjeicy

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill streamlines the complex process of drug discovery by automating the retrieval of bioactivity data, calculating molecular properties, and checking drug-drug interactions, reducing the time spent on manual literature and database searches.

Core Features & Use Cases

  • Bioactive Compound Search: Query ChEMBL for targets and active compounds to identify potential drug candidates.
  • Drug-Likeness Analysis: Evaluate molecules against Lipinski’s Rule of Five and Veber’s rules to predict oral bioavailability.
  • Safety & Interaction Profiling: Access OpenFDA data to identify potential drug interactions and reported adverse events for specific compounds.

Quick Start

Use the drug-discovery skill to analyze the molecular properties and drug-likeness of aspirin.

Frequently Asked Questions about drug-discovery

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

FAQPage Schema
How do I retrieve bioactivity data for drug discovery targets?▼

You can retrieve bioactivity data by querying ChEMBL for targets and active compounds to identify potential drug candidates. This automated retrieval streamlines complex pharmaceutical research workflows by replacing manual literature and database searches with API-driven data extraction.

Can I evaluate drug-likeness and predict oral bioavailability for specific molecules?▼

Yes, you can evaluate drug-likeness by analyzing molecules against Lipinski’s Rule of Five and Veber’s rules to predict oral bioavailability. This pharmacology analysis calculates molecular properties to assess the viability of active compounds during lead optimization.

How do I check drug-drug interactions and adverse events for pharmaceutical compounds?▼

Access OpenFDA data to check drug-drug interactions and identify reported adverse events for specific compounds. This safety profiling retrieves regulatory information to support hazard identification during pharmaceutical analysis.

Do I need a specific environment to run API-driven molecular property calculations?▼

You need standard curl and python3 environments to execute API-driven data retrieval and property calculations. These dependencies support the integration of data from ChEMBL, PubChem, OpenFDA, and OpenTargets for cheminformatics workflows.

What is the best way to analyze target-disease associations during lead optimization?▼

The best way to analyze target-disease associations is by integrating OpenTargets data into your medicinal chemistry workflows. This facilitates pharmaceutical research by mapping bioactive compound interactions to specific disease mechanisms.

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