Link to bioRxiv paper:

http://biorxiv.org/cgi/content/short/2020.09.04.281451v1?rss=1

Authors: Ferraro, L.

Abstract:

This paper is based on Computational Biology with an eye towards medicine. In fact our aim is to identify new indications for existing drugs with a computational approach using Systems Biology, in order to speed up the market entry, avoiding some phases of drug development (for example toxicity tests) and with a lower cost. The method that we will discuss exploits the concept of Random Walk in a heterogeneous network, formed by a drug-drug and disease-disease similarity and known drug-disease associations. This is done by combining different types of data in order to connect more effectively two drugs or two diseases with a similarity score. At the end we integrate the known associations between drugs and diseases with the purpose of finding similarity values of new couples.

Copy rights belong to original authors. Visit the link for more info