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

Shanmugam, Anusuya and Muralidharan, Nisha and Velmurugan, Devadasan and Gromiha, M. Michael (2020) Therapeutic Targets and Computational Approaches on Drug Development for COVID-19. CURRENT TOPICS IN MEDICINAL CHEMISTRY, 20.0 (24). pp. 2210-2220. ISSN 1568-0266

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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.

Item Type: Article
Uncontrolled Keywords: Coronavirus, SARS-CoV-2, COVID-19, Chymotrypsin-like protease, Papain-like protease, Polymerase, Spike protein, Drug repurposing
Subjects: Chemistry > Chemistry
Divisions: Medicine > Vinayaka Mission's Medical College, Kottucherry > Biotechnology
Depositing User: Unnamed user with email techsupport@mosys.org
Last Modified: 06 Feb 2026 07:14
URI: https://ir.vmrfdu.edu.in/id/eprint/7255

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