What is the primary purpose of the Datamol skill?

Datamol acts as a lightweight, Pythonic wrapper around RDKit, making complex cheminformatics tasks like molecular parsing and standardization much simpler to implement with sensible defaults.

How does Datamol handle chemical file I/O?

It provides a universal 'open_df' interface that auto-detects formats like SDF, SMI, CSV, and Parquet, with native support for reading directly from cloud storage buckets.

Is Datamol compatible with existing RDKit code?

Yes, Datamol returns native rdkit.Chem.Mol objects, meaning you can use it alongside any existing RDKit functions without conversion overhead.

Does Datamol support 3D molecular modeling?

Yes, it provides a dedicated module for 3D conformer generation using methods like ETKDGv3, including energy minimization and conformer clustering.

Can this skill help with large-scale data processing?

Absolutely. Datamol includes built-in parallelization for batch operations, such as computing descriptors or fingerprints for thousands of molecules simultaneously.

Datamol Cheminformatics

Name: Datamol Cheminformatics
Author: Microck

byMicrock

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数据科学与机器学习

Simplifies molecular cheminformatics workflows by providing a Pythonic abstraction layer over RDKit for drug discovery and molecular analysis.

Datamol is a high-level Python library designed to streamline cheminformatics tasks, offering a simplified interface and sensible defaults for RDKit. It enables researchers and developers to handle molecular format conversion, structure standardization, 3D conformer generation, and descriptor computation with minimal boilerplate and built-in parallelization. Whether you are building datasets for machine learning or performing complex scaffold analysis, Datamol ensures compatibility with the RDKit ecosystem while significantly improving developer productivity in computational chemistry and molecular modeling projects.

主要功能

01Automated structure standardization, sanitization, and metal disconnection

02Parallelized batch computation of molecular descriptors and fingerprints

03Native support for cloud storage (S3, GCS) and Pandas integration

04Pythonic molecular format conversion for SMILES, InChI, and SELFIES

05High-quality 3D conformer generation with energy minimization

0681 GitHub stars

使用场景

01Automating molecular visualization and scaffold-based SAR analysis reports

02Preparing standardized molecular datasets for drug discovery machine learning models

03Analyzing structural diversity and clustering large chemical libraries for screening

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/ordinary-claude-skills datamol

For use in Claude.ai and ChatGPT

主要功能

01Automated structure standardization, sanitization, and metal disconnection

02Parallelized batch computation of molecular descriptors and fingerprints

03Native support for cloud storage (S3, GCS) and Pandas integration

04Pythonic molecular format conversion for SMILES, InChI, and SELFIES

05High-quality 3D conformer generation with energy minimization

0681 GitHub stars

使用场景

01Automating molecular visualization and scaffold-based SAR analysis reports

02Preparing standardized molecular datasets for drug discovery machine learning models

03Analyzing structural diversity and clustering large chemical libraries for screening