datamol

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Accelerate Drug Discovery with Cheminformatics

AuthorRowtion
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill streamlines complex molecular data manipulation and analysis, significantly reducing the time and effort required for cheminformatics tasks in drug discovery and research.

Core Features & Use Cases

  • Molecular Data Handling: Read, write, and standardize molecular formats (SMILES, SDF, etc.) from various sources, including cloud storage.
  • Descriptor & Fingerprint Calculation: Compute a wide range of molecular descriptors and fingerprints for property prediction and similarity analysis.
  • Clustering & Diversity Analysis: Group similar molecules and select diverse subsets for efficient library screening.
  • Scaffold & Fragment Analysis: Identify core molecular structures and break down molecules into fragments for SAR studies.
  • 3D Conformer Generation: Generate and analyze 3D molecular structures.
  • Visualization: Create clear visualizations of molecules, conformers, and SAR data.
  • Use Case: A researcher needs to analyze a library of 10,000 compounds for potential drug candidates. They can use this Skill to standardize structures, calculate drug-likeness properties, cluster them based on similarity, and visualize the most promising diverse subsets.

Quick Start

Use the datamol skill to compute molecular descriptors for the provided SMILES string 'CCO'.

Dependency Matrix

Required Modules

datamolpandasnumpymatplotlibscipyrdkit

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: datamol
Download link: https://github.com/Rowtion/Bioclaw/archive/main.zip#datamol

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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