This project addresses a critical challenge in drug discovery: repurposing known drugs effectively. Traditional drug development is costly and time-consuming, making drug repurposing a promising alternative. By leveraging Graph-based Retrieval-Augmented Generation (GraphRAG), this project aims to enhance AI-driven insights for drug repurposing, improving explainability and decision-making.

• Utilizes GraphRAG for knowledge retrieval and generation.
• Integrates biomedical knowledge graphs to improve drug repurposing insights.
• Enhances explainability in AI-driven predictions for drug repurposing.

• Python 3.8+
• OpenAI API Key

1. Clone this repository:

   git clone https://github.com/dhyaneesh/drug-repurposing.git
   cd drug-repurposing

2. Install dependencies:

   pip install -r requirements.txt

3. Set up your OpenAI API key as an environment variable:

   export OPENAI_API_KEY="your-api-key-here"

Contributions are welcome! Feel free to submit issues or pull requests.

This project is licensed under the MIT License.

For questions or collaboration, reach out via [your contact email or GitHub issues].