Simplifies molecular cheminformatics and drug discovery workflows with a Pythonic abstraction layer over RDKit.
Datamol provides a lightweight, intuitive interface for RDKit, enabling developers and researchers to perform complex molecular operations with sensible defaults and efficient parallelization. It streamlines essential cheminformatics tasks such as molecular format conversion, structure standardization, descriptor calculation, and 3D conformer generation. By returning native RDKit objects, it ensures full compatibility with the broader chemical informatics ecosystem while providing modern features like cloud storage support and batch processing for large-scale datasets.
主な機能
01Efficient molecular format conversion for SMILES, SELFIES, and InChI
02Built-in support for scaffold analysis, clustering, and diversity selection
03Batch computation of descriptors and fingerprints with parallel processing
040 GitHub stars
05Automated structure standardization and sanitization for data quality
06Advanced 3D conformer generation, minimization, and analysis
ユースケース
01Preparing and standardizing large chemical libraries for machine learning models
02Analyzing structural diversity and clustering compounds for lead optimization
03Generating 3D molecular conformations for virtual screening and docking
