Shanmugam, A. and Muralidharan, N. and Jalgham, D. and Michael Gromiha, M.M. (2020) Therapeutic targets and computational approaches on drug development for covid-19. Current Topics in Medicinal Chemistry, 20 (24). pp. 2210-2220. ISSN 15680266; 18734294
Full text not available from this repository.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. © 2020 Elsevier B.V., All rights reserved.
| Item Type: | Article |
|---|---|
| Subjects: | Medicine > Pharmacology |
| Divisions: | Pharmacy > Vinayaka Mission's College of Pharmacy, Salem > Pharmacology |
| Depositing User: | Unnamed user with email techsupport@mosys.org |
| Date Deposited: | 11 Dec 2025 17:02 |
| Last Modified: | 11 Dec 2025 17:06 |
| URI: | https://vmuir.mosys.org/id/eprint/5535 |
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