Machine learning prediction of oncology drug targets based on protein and network properties.
Journal:
BMC bioinformatics
Published Date:
Mar 14, 2020
Abstract
BACKGROUND: 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 in-silico target identification, reducing the cost and the time needed.