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Time-resolved evaluation of compound repositioning predictions on a text-mined knowledge network
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Computational compound repositioning has the potential for identifying new uses for existing drugs, and new algorithms and data source aggregation strategies provide ever-improving results via in silico metrics. However, even with these advances, the number of compounds successfully repositioned via computational screening remains low.
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