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A Python package for computational toxicology workflows

Project description

Current Version: 0.1.1

🧪 ToxiChemPy: Computational Framework for Toxicology Research

ToxiChemPy is an open-source Python library for computational and experimental toxicology.
It provides tools and workflows for:

  • 🔬 Cheminformatics
  • 📊 Machine Learning & Statistical Modeling
  • 🧠 Toxicity Prediction & Risk Assessment
  • ⚙️ Workflow Automation
  • 📈 Data Collection & Visualization

This package is designed for researchers working in toxicology, bioinformatics, cheminformatics, and environmental risk assessment.


📚 Documentation

📖 Full documentation is hosted at:
👉 https://toxichempy.readthedocs.io

Includes:

  • Setup & installation
  • Usage examples
  • API reference
  • CLI guide
  • Model deployment info

🚀 Installation

ToxiChemPy is Python 3.12+ compatible.

✅ Recommended (via Anaconda):

conda create -n toxichempy python=3.12
conda activate toxichempy
conda install -c conda-forge rdkit openbabel faiss python-dotenv
pip install toxichempy

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