DRaW: prediction of COVID-19 antivirals by deep learning-an objection on using matrix factorization.

Journal: BMC bioinformatics
Published Date: Feb 15, 2023

Abstract

BACKGROUND: Due to the high resource consumption of introducing a new drug, drug repurposing plays an essential role in drug discovery. To do this, researchers examine the current drug-target interaction (DTI) to predict new interactions for the approved drugs. Matrix factorization methods have much attention and utilization in DTIs. However, they suffer from some drawbacks.

Authors

  • S Morteza Hashemi
    Department of Computer Science and Information Technology, Institute of Advanced Studies in Basic Sciences, Zanjan, Iran.
  • Arash Zabihian
    Laboratory of Bioinformatics and Drug Design, University of Tehran, Tehran, Iran.
  • Mohsen Hooshmand
    Department of Computer Science and Information Technology, Institute of Advanced Studies in Basic Sciences, Zanjan, Iran. mohsen.hooshmand@iasbs.ac.ir.
  • Sajjad Gharaghani
    Laboratory of Bioinformatics & Drug Design (LBD), Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran. Electronic address: s.gharaghani@ut.ac.ir.

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