Wrap RDKit with a Pythonic API for cheminformatics tasks like SMILES parsing and standardization.
npx skills add https://github.com/jackspace/ClaudeSkillz --skill datamol
Please help me install this Agent Skill. Skill: datamol Source: https://github.com/jackspace/ClaudeSkillz/tree/main/skills/scientific-pkg-datamol Command: npx skills add https://github.com/jackspace/ClaudeSkillz --skill datamol
Datamol offers a Pythonic wrapper around RDKit to simplify common cheminformatics tasks, including SMILES handling, standardization, descriptors, fingerprints, conformers, and batch processing.
High-intent search queries and answers about installing and using this skill.
Datamol provides a Pythonic wrapper around RDKit that simplifies SMILES parsing and standardization. It handles molecule conversions, applies sensible defaults for routine operations, and returns native rdkit.Chem.Mol objects for downstream analysis.
Datamol wraps RDKit to simplify descriptor and fingerprint generation. It abstracts away boilerplate, supports batch processing with parallelization, and integrates seamlessly into drug-discovery pipelines for rapid molecular property analysis.
Datamol enables reading and writing SDF, SMI, and CSV files with built-in fsspec integration for cloud storage access. This eliminates manual I/O handling and scales across local and cloud workflows in batch operations.
Datamol streamlines 3D conformer generation and clustering through a clean Python interface over RDKit. It handles the underlying complexity while maintaining access to native RDKit objects for advanced customization when needed.
Datamol supports parallel batch processing across local and cloud environments. It abstracts parallelization complexity while preserving full compatibility with RDKit, enabling scalable drug-discovery workflows without rewriting core logic.
Datamol is designed for users familiar with Python but not necessarily RDKit internals. It provides sensible defaults for common cheminformatics tasks—SMILES handling, descriptors, fingerprints, conformers—while remaining accessible through a Pythonic API.
InternScienceConvert IUPAC chemical names to SMILES strings via OPSIN.
jasrajtulsiParse and standardize molecular structures for cheminformatics workflows.
sanand0Predict molecular properties with graph neural networks using PyTorch.
shushuznComputes cheminformatics features and transformations from molecular structures using RDKit APIs.
