medchem

Community

Filter compounds with drug-likeness rules.

AuthorRowtion
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps medicinal chemists and drug discovery scientists efficiently filter and prioritize chemical compounds by applying a wide range of established drug-likeness rules, structural alerts, and complexity metrics.

Core Features & Use Cases

  • Drug-Likeness Rules: Apply filters like Lipinski's Rule of Five, Veber's rules, and others to assess oral bioavailability potential.
  • Structural Alerts: Detect problematic substructures (PAINS, NIBR, Lilly demerits) that can lead to assay interference or toxicity.
  • Use Case: When evaluating a new library of potential drug candidates, use this Skill to quickly identify compounds that are most likely to be "drug-like" and avoid those with known liabilities.

Quick Start

Apply the Rule of Five and common structural alerts to a list of molecules.

Dependency Matrix

Required Modules

medchemdatamolrdkit-pypipandastqdm

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: medchem
Download link: https://github.com/Rowtion/Bioclaw/archive/main.zip#medchem

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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