Disease Understanding and Visualization of Drug Repurposing Hypotheses

The increasing availability of biomedical data has opened new opportunities to rethink how diseases are modeled and how drug repurposing hypotheses can be systematically generated. In this context, we present a web-based platform that (i) provides access to previously integrated heterogeneous biomedical data and (ii) enables interactive visualization of disease understanding relationships, as well as of drug repurposing hypotheses. The platform constructs multilayer disease networks, visualizes disease relationships, and implements six complementary computational repurposing methods, including more naive methods, network-based analysis, and artificial intelligence-based approaches. It also provides the web services needed to access the whole set of data. This paper describes the underlying data sources and methodologies and demonstrates its capabilities through a representative visualization case.