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Therapeutic Targets and Computational Approaches on Drug Development for COVID-19

[ Vol. 20 , Issue. 24 ]

Author(s):

Anusuya Shanmugam, Nisha Muralidharan, Devadasan Velmurugan and M. Michael Gromiha*   Pages 2210 - 2220 ( 11 )

Abstract:


World Health Organization declared coronavirus disease (COVID-19) caused by SARS coronavirus-2 (SARS-CoV-2) as pandemic. Its outbreak started in China in Dec 2019 and rapidly spread all over the world. SARS-CoV-2 has infected more than 800,000 people and caused about 35,000 deaths so far, moreover, no approved drugs are available to treat COVID-19. Several investigations have been carried out to identify potent drugs for COVID-19 based on drug repurposing, potential novel compounds from ligand libraries, natural products, short peptides, and RNAseq analysis. This review is focused on three different aspects; (i) targets for drug design (ii) computational methods to identify lead compounds and (iii) drugs for COVID-19. It also covers the latest literature on various hit molecules proposed by computational methods and experimental techniques.

Keywords:

Coronavirus, SARS-CoV-2, COVID-19, Chymotrypsin-like protease, Papain-like protease, Polymerase, Spike protein, Drug repurposing.

Affiliation:

Department of Pharmaceutical Engineering, Vinayaka Mission’s KirupanandaVariyar Engineering College, Vinayaka Mission’s Research Foundation (Deemed to be University), Salem – 636308, Tamil Nadu, Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai – 600036, Tamil Nadu, Centre of Advanced Study in Crystallography and Biophysics, University of Madras, Guindy Campus, Chennai - 600025, Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai – 600036, Tamil Nadu

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