Can I use Datamol with cloud-based data?

Absolutely. Datamol supports modern I/O capabilities through fsspec, allowing you to read and write molecular files directly to S3, GCS, or via HTTP.

Can Datamol handle large chemical datasets?

Yes, Datamol is designed for performance, featuring built-in parallelization (n_jobs) for batch operations like descriptor calculation and similarity searching.

Does this skill support 3D molecular structures?

Yes, Datamol includes comprehensive tools for 3D conformer generation, energy minimization using force fields, and SASA calculations.

What is the relationship between Datamol and RDKit?

Datamol is a Pythonic wrapper around RDKit. It provides a more user-friendly interface and sensible defaults while returning native rdkit.Chem.Mol objects, ensuring full compatibility with the RDKit ecosystem.

Datamol Cheminformatics

Name: Datamol Cheminformatics
Author: Yezez9

byYezez9

0•

Ciencia de Datos y ML

Simplifies molecular cheminformatics and drug discovery workflows by providing a Pythonic interface to RDKit with sensible defaults.

Datamol serves as a lightweight, high-level abstraction layer for RDKit, designed to make molecular data science more accessible and efficient. It streamlines complex chemical operations such as SMILES parsing, structure standardization, 3D conformer generation, and fingerprinting through a modern, parallelized API. By bridging the gap between low-level cheminformatics libraries and production-ready data science pipelines, Datamol allows researchers and developers to focus on drug discovery logic rather than boilerplate code, while maintaining full compatibility with native RDKit objects.

Características Principales

01Batch computation of molecular descriptors and fingerprints

020 GitHub stars

03High-performance 3D conformer generation and RMSD clustering

04Automated structure standardization and chemical sanitization

05Molecular format conversion for SMILES, SELFIES, and InChI

06Seamless I/O with support for cloud storage like S3 and GCS

Casos de Uso

01Building automated drug discovery and lead optimization pipelines

02Preparing large-scale molecular datasets for machine learning models

03Performing scaffold-based analysis and diversity selection for chemical libraries

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yezez9/research-agent datamol

For use in Claude.ai and ChatGPT