Can I use this skill for 3D molecular modeling?

Yes, the skill provides detailed guidance on generating 3D coordinates, conformer embedding, and geometry optimization using standard force fields like UFF and MMFF94.

What molecular formats does the RDKit skill support?

The skill supports a wide range of common chemical formats including SMILES strings, SDF files, MOL blocks, and InChI/InChIKey for both reading and writing molecular data.

Does it support chemical reaction simulation?

Yes, it includes capabilities for defining and executing chemical reactions using Reaction SMARTS, while preserving atom mapping and stereochemistry throughout the process.

How does it handle large molecular datasets?

It utilizes RDKit's Supplier and Writer objects (such as SDMolSupplier) along with multithreaded processing tools to efficiently handle batch processing for large SDF or SMILES files.

RDKit Cheminformatics

Name: RDKit Cheminformatics
Author: sanand0

bysanand0

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Data Science & ML

Provides comprehensive tools for molecular analysis, chemical property calculation, and 3D structure generation within scientific research workflows.

The RDKit skill integrates the industry-standard cheminformatics library into Claude's environment, enabling advanced molecular manipulation and analysis. It allows users to parse and write various chemical formats like SMILES, SDF, and InChI, calculate critical physicochemical descriptors such as LogP and TPSA, and perform complex substructure searches using SMARTS patterns. Designed for researchers and developers in drug discovery and computational chemistry, it also facilitates 3D coordinate generation, conformer optimization, and chemical reaction simulation, streamlining the transition from raw data to actionable scientific insights.

Key Features

01Physicochemical descriptor calculation (LogP, TPSA, MW)

022D/3D coordinate generation and conformer optimization

033 GitHub stars

04Molecular I/O for SMILES, SDF, MOL, and InChI formats

05Substructure searching and pattern matching using SMARTS

06Molecular fingerprinting and similarity analysis for virtual screening

Use Cases

01Conducting similarity searches across large chemical libraries to identify lead compounds

02Automating drug-likeness screening using Lipinski’s Rule of Five

03Generating 3D conformers and optimizing geometries for docking studies

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sanand0/scientific-research rdkit

For use in Claude.ai and ChatGPT

Download Skill