Repurposing therapeutics for COVID-19: Rapid prediction of commercially available drugs through machine learning and docking.

Journal: PloS one
Published Date: Nov 12, 2020

Abstract

BACKGROUND: The outbreak of the novel coronavirus disease COVID-19, caused by the SARS-CoV-2 virus has spread rapidly around the globe during the past 3 months. As the virus infected cases and mortality rate of this disease is increasing exponentially, scientists and researchers all over the world are relentlessly working to understand this new virus along with possible treatment regimens by discovering active therapeutic agents and vaccines. So, there is an urgent requirement of new and effective medications that can treat the disease caused by SARS-CoV-2.

Authors

  • Sovesh Mohapatra
    Department of Physics, Indian Institute of Technology, Roorkee, Haridwar, Uttarakhand, India.
  • Prathul Nath
    Department of Physics, Indian Institute of Technology, Roorkee, Haridwar, Uttarakhand, India.
  • Manisha Chatterjee
    Department of Pharmacology, Subharti Medical College, Meerut, Uttar Pradesh, India.
  • Neeladrisingha Das
    Department of Biotechnology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India.
  • Deepjyoti Kalita
    Department of Microbiology, All India Institute of Medical Science, Rishikesh, Uttarakhand, India.
  • Partha Roy
    Department of Biotechnology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India.
  • Soumitra Satapathi
    Department of Physics, Indian Institute of Technology, Roorkee, Haridwar, Uttarakhand, India.

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