rdkit-cheminformatics

Community

Unlock molecular insights with RDKit.

Authorjaechang-hits
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill streamlines complex cheminformatics tasks, enabling efficient molecular analysis, property prediction, and virtual screening for drug discovery and chemical research.

Core Features & Use Cases

  • Molecular Analysis: Parse, standardize, and calculate descriptors (MW, LogP, TPSA) for chemical compounds.
  • Drug-Likeness Assessment: Filter molecules based on Lipinski's Rule of Five and Veber criteria.
  • Similarity & Substructure Search: Identify related compounds using fingerprints and query specific chemical patterns with SMARTS.
  • Visualization: Generate 2D depictions and highlight substructures for clear reporting.
  • Use Case: Screen a large chemical library to identify potential drug candidates by calculating molecular properties, assessing drug-likeness, and finding compounds similar to a known active molecule.

Quick Start

Use the rdkit-cheminformatics skill to calculate molecular descriptors for a list of SMILES strings.

Dependency Matrix

Required Modules

rdkit-pypipandasmatplotlibnumpy

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: rdkit-cheminformatics
Download link: https://github.com/jaechang-hits/SciAgent-Skills/archive/main.zip#rdkit-cheminformatics

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