Uncovering New Drug Properties in Target-Based Drug-Drug Similarity Networks

USC researchers have developed a big-data, clustering technique for repositioning drugs. They evaluate all drugs that are available in public drug databases and interpret all possible repositionings at the same time. Furthermore, it also calculates how similar drugs are and assigns a betweenness factor that enables drug-drug similarities to be ranked on their potential efficacy to further focus research. Nicholas Lee nlee4908@usc.edu (213) 821-3545

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