Enabling Computational Drug Repositioning using Knowledge Graphs by C. Martinez & R. Rieunier

End of studies project conducted by Dr. Gayo DIALLO (LaBRI) during the ENSC / ENSEIRB-MATMECA Artificial Intelligence course.

This repository provides a Drugbank full database parser and a visualization tool to help biochemists to find new purposes for drugs based on their links in knowledge graphs.

First of all, you should have a look to the respective READMEs of the backend and the frontend directories.

To run the project, open 2 terminal sessions. In the first one:

cd backend
chmod +x server.sh
./server.sh

In the second one:

cd frontend
npm start

The Drugbank database parser and the playground for data persistence in Neo4J using the Python wrapper can be found in backend.