Machine learning prediction of oncology drug targets based on protein and network properties

The selection and prioritization of drug targets is a central problem in drug discovery. Computational approaches can leverage the growing number of large-scale human genomics and proteomics data to make insilico target identification, reducing the cost and the time needed.