Welcome to DrugNet!

Assisting drug repositioning processes is drawing a raising interest, since it an lead to a considerable reduction in cost and time in any drug development process. This tool can help to find new drugs to be repositioned.

Computational drug repositioning can lead to a considerable cost and time reduction in any drug development process. Recent approaches have addressed the network-based nature of biological information to perform complex prioritization tasks. In this work we propose a new methodology based on heterogeneous network prioritization, that can aid researchers in the drug repositioning process.

How to use DrugNet web:

Enter query entities depending on the type of query you have decided to perform.

Drugs as query type: LEPIDURIN

Diseases as query type (as OMIM names): BREAST CANCER

Push the example buttons on the left to perform an example query.

DrugNet data

If you want to perform tests locally, you can download a more recent DrugNet dataset from here (drugs, proteins and diseases). This is a large file, if you only need the adjacency matrices for the networks (normalized) you can download them from here. You can run the precomputation required separately, however, note that this is an expensive process. You can apply ProphTools, our general methodology for network prioritization to these .mat files to perform DrugNet prioritizations on your computer. These files have the ProphTools format and its specification can be further read at the ProphTools repository. Additionally, they can be read and manipulated using the Python free scipy library.

NEW: Now ProphTools can manipulate simple graph specification txt files and GEXF files in order to automatically build its native .mat files. For mor information, see our repository documentation.