Is it suitable for processing large chemical databases?

Absolutely. The skill uses iterator-based processing to handle millions of molecules efficiently without exhausting system memory.

How do I prepare molecules for docking?

The skill can automate the addition of hydrogens, perform geometry optimization, and export molecules directly to the PDBQT format required by AutoDock Vina.

What chemical formats does Open Babel support?

Open Babel supports over 110 chemical formats, including common ones like SMILES, SDF, PDB, CIF, Mol2, and specialized formats like Gaussian input/output.

Can I generate 3D structures from 1D SMILES strings?

Yes, the skill provides methods to add hydrogens and generate optimized 3D coordinates from SMILES using force fields like MMFF94, UFF, or GAFF.

How does this compare to RDKit?

While RDKit is often preferred for 2D rendering and advanced QSAR descriptors, Open Babel is the industry standard for format interoperability and robust 3D coordinate generation.

Open Babel Chemical Translator

Name: Open Babel Chemical Translator
Author: tondevrel

bytondevrel

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Data Science & ML

Converts and processes chemical data across 110+ formats for molecular modeling, informatics, and 3D structure generation.

Open Babel is a comprehensive chemical toolbox designed to act as a universal translator for chemical data, enabling seamless interoperability between molecular formats like SMILES, PDB, and SDF. This skill empowers Claude to perform complex cheminformatics tasks, including generating 3D molecular coordinates from 2D structures, executing substructure searches using SMARTS patterns, and preparing ligands for docking through force field minimizations and hydrogen addition. It is an essential utility for computational chemists and researchers working with large-scale chemical databases or preparing data for simulation and analysis.

Key Features

01Universal conversion between 110+ chemical data formats including SDF, PDB, and SMILES.

02Molecular docking preparation including PDBQT export and automated hydrogen management.

031 GitHub stars

04Advanced substructure searching using robust SMARTS pattern matching.

05High-performance batch processing and fingerprint calculation for large-scale chemical databases.

06Automated 3D coordinate generation and force field optimization using UFF, GAFF, and MMFF94.

Use Cases

01Standardizing chemical data and calculating Tanimoto coefficients for molecular similarity analysis.

02Converting large libraries of SMILES strings into 3D SDF structures for virtual screening.

03Searching chemical databases for specific functional groups or scaffolds using SMARTS patterns.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add tondevrel/scientific-agent-skills openbabel

For use in Claude.ai and ChatGPT

Download Skill