Drug repositioning  is highly attractive because of its potential to speed up the process of drug development, hence reducing costs in addition to providing new treatments for unmet medical needs.We followed a novel computational approach to predict drug repositioning based on state-of-the-art machine-learning algorithms.Successful drug repositioning requires that a known drug has a positive impact on a different disease, but its highest value resides in that its use for the novel indication surpasses the currently available therapeutic options for that condition.Experimental approaches to drug repositioning generally involve high-throughput assays where libraries of approved compounds are tested against biological targets of interest

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