What is the difference between using the RDKit skill and Datamol?

While Datamol is a simplified wrapper for common tasks, the RDKit skill provides lower-level, fine-grained control required for advanced algorithms, custom sanitization, and specialized chemical workflows.

How does RDKit handle molecular sanitization?

It automatically executes 13 steps including valence checking and aromaticity perception. This skill also covers manual control and partial sanitization for handling non-standard molecules.

Can this skill help with 3D coordinate generation?

Yes, it provides specific guidance for generating single or multiple 3D conformers using ETKDG and optimizing them with force fields like UFF or MMFF94.

Can I perform similarity searches between molecules?

Absolutely. The skill includes methods for generating various fingerprints (Morgan/ECFP, MACCS, etc.) and calculating Tanimoto or Dice similarity across molecular datasets.

RDKit Cheminformatics Toolkit

Name: RDKit Cheminformatics Toolkit
Author: fabioeducacross

byfabioeducacross

0•

Data Science & ML

Performs advanced molecular analysis, descriptor calculation, and chemical reaction modeling for drug discovery and computational chemistry.

The RDKit skill equips Claude with specialized knowledge for sophisticated cheminformatics tasks, enabling the manipulation and analysis of molecular structures across multiple formats like SMILES, SDF, and InChI. It provides deep guidance on calculating molecular descriptors such as Molecular Weight, LogP, and TPSA, performing high-performance substructure searches with SMARTS, and generating 2D or 3D coordinates. This skill is essential for researchers and developers building drug discovery pipelines, automating ADME property calculations, or simulating complex chemical reactions using programmatic interfaces.

Key Features

01High-performance substructure searching using complex SMARTS patterns.

022D and 3D coordinate generation with force-field optimization (UFF/MMFF).

03Advanced descriptor calculation for drug-likeness and physicochemical properties.

04Comprehensive molecular I/O support for SMILES, SDF, MOL, and InChI formats.

050 GitHub stars

06Fingerprint-based similarity analysis and chemical reaction modeling.

Use Cases

01Building automated drug discovery pipelines and screening large molecular libraries.

02Calculating ADME properties and Lipinski's Rule of Five for hit-to-lead optimization.

03Generating 3D conformers and 2D depictions for molecular visualization and research reports.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add fabioeducacross/designsystem-vuexy rdkit

For use in Claude.ai and ChatGPT

Download Skill