modeling-of-BBB-pathologies

There was an idea to create a program for modeling the pathological processes of the central nervous system and their prediction in the present and future Blood-Brain Barrier Permeability and Pathology Modeling

This project provides computational modeling tools for simulating blood-brain barrier (BBB) permeability and its pathological alterations. The BBB plays a critical role in protecting the central nervous system, and its dysfunction is associated with various neurological disorders.

🎯 Key Features

• Multi-scale modeling of BBB at cellular and molecular levels
• Permeability analysis for different compound classes
• Pathological state modeling (inflammation, neurodegenerative diseases)
• Visualization of transport processes across BBB
• Quantitative assessment of permeability parameters

📦 Installation Prerequisites

• Python 3.8 or higher
• pip (Python package manager)

Install Dependencies

git clone https://github.com/neomlet/modeling-of-BBB-pathologies.git
cd modeling-of-BBB-pathologies
pip install -r requirements.txt

Core Dependencies

- NumPy >= 1.21.0
- SciPy >= 1.7.0
- Pandas >= 1.3.0
- Matplotlib >= 3.5.0
- Scikit-learn >= 1.0.0
- TensorFlow/PyTorch (optional, for ML models)

🚀 Quick Start

📁 Project Structure

modeling-of-BBB-pathologies/
├── docs/                    # Documentation
├── examples/               # Usage examples
├── notebooks/              # Research notebooks
├── src/                    # Source code
│   ├── bbb_model/          # Core model classes
│   ├── compounds/          # Chemical compound classes
│   ├── pathology/          # Pathological state models
│   ├── visualization/      # Visualization tools
│   └── utils/              # Utility functions
├── tests/                  # Test suites
├── data/                   # Modeling data
├── requirements.txt        # Python dependencies
└── README.md

🔬 Methodology Transport Mechanism Modeling

• Passive diffusion through lipid membrane
• Active transport via carriers
• Receptor-mediated transcytosis
• Paracellular transport (in pathological conditions)

Pathological Models

• Neuroinflammation (microglial activation)
• Ischemia/reperfusion
• Neurodegenerative diseases (Alzheimer's, Parkinson's)
• Tumor processes (glioblastoma)

📊 Usage Examples

1. Drug Permeability Comparison
2. Inflammatory Response Modeling
3. Batch Compound Screening

📈 Model Validation The project includes validation data with experimental permeability measurements from in vitro and in vivo studies. Comparative analysis shows model predictions align with experimental data with >85% accuracy.

🤝 Contributing

📞 Contact good.bqw@gmail.com https://t.me/otoamatsukami

🔗 Useful Links