A Python package for computational toxicology workflows
Project description
Current Version: 0.1.3
🧪 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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