Utilizing Comprehensive Biological Network to Improve Accuracy of Computational Drug Repurposing

Drug repurposing can overcome challenges associated with expensive and time-consuming drug discovery pipelines by quickly finding new uses for existing drugs. Computational drug repurposing is founded on the principle that similar drugs treat similar diseases. Thus, the research in the field has traditionally focused on defining and implementing measures of drug and disease similarities that closely resemble similarities in the observed drug pharmacological profiles and disease pathways. In this study, we incorporate comprehensive data on biological relationships and interactions to arrive at a fast and accurate method for completing the existing knowledge on drug-disease associations and, in turn, find new indications for FDA approved drugs.