Can this skill generate 3D molecular conformers?

Yes, it includes patterns for 3D coordinate generation using ETKDG and optimization using Universal Force Field (UFF) or Merck Molecular Force Field (MMFF94).

Is there a simpler interface than RDKit for basic tasks?

Yes, for standard workflows with a simpler interface, the skill suggests using 'datamol', which acts as a higher-level wrapper around RDKit.

Does it support chemical reaction simulation?

Absolutely. It covers Reaction SMARTS for defining chemical transformations and applying them to sets of reactants to predict products.

What can the RDKit skill do for my chemistry project?

It provides Claude with the knowledge to write code for reading/writing chemical files, calculating molecular descriptors like LogP, performing substructure searches, and generating 3D molecular structures.

How does it handle large molecular datasets?

The skill provides guidance on using batch processing tools like SDMolSupplier and multithreaded suppliers to handle large SDF and SMILES files efficiently.

RDKit Cheminformatics

Name: RDKit Cheminformatics
Author: ricable

byricable

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Data Science & ML

Provides comprehensive cheminformatics capabilities for molecular analysis, manipulation, and drug discovery workflows.

The RDKit Cheminformatics skill empowers Claude to perform complex molecular modeling and chemical data analysis within a development environment. It enables precise control over molecular structures through SMILES and SDF parsing, descriptor calculation (such as LogP and TPSA), substructure searching with SMARTS patterns, and 3D coordinate generation. This skill is essential for researchers and developers working on drug discovery, computational chemistry, or bioinformatics, facilitating automated chemical property prediction, similarity searching, and chemical reaction modeling.

Key Features

01Advanced substructure searching and pattern matching using SMARTS

022D/3D coordinate generation and conformer optimization with force fields

03Chemical property calculation including MW, LogP, TPSA, and H-bond counts

041 GitHub stars

05Molecular fingerprinting and Tanimoto similarity analysis for clustering

06Comprehensive molecular I/O for SMILES, SDF, MOL, and InChI formats

Use Cases

01Virtual screening of chemical libraries for drug discovery projects

02Modeling chemical reactions and predicting synthetic pathways

03Automated curation and property calculation of molecular databases

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ricable/ultimate-ai-agent rdkit

For use in Claude.ai and ChatGPT

Download Skill