rdkit-cheminformatics
CommunityUnlock molecular insights with RDKit.
Education & Research#virtual screening#drug discovery#cheminformatics#fingerprints#rdkit#smarts#molecular descriptors
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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