Time-resolved evaluation of compound repositioning predictions on a text-mined knowledge network.
Journal:
BMC bioinformatics
Published Date:
Dec 11, 2019
Abstract
BACKGROUND: 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. New strategies for algorithm evaluation that more accurately reflect the repositioning potential of a compound could provide a better target for future optimizations.