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Genomic Variations in the Structural Proteins of SARS-CoV-2 and Their Deleterious Impact on Pathogenesis: A Comparative Genomics Approach

Authors
Mohammad, T.Choudhury, A.Habib, I.Asrani, P.Mathur, Y.Umair, M.Anjum, F.Shafie, A.Yadav, D.K.Hassan, M.I.
Issue Date
Oct-2021
Publisher
Frontiers Media S.A.
Keywords
coronavirus disease 2019; SARS-CoV-2 mutations; SARS-CoV-2 pathogenesis; severe acute respiratory syndrome coronavirus-2; single amino acid substitutions
Citation
Frontiers in Cellular and Infection Microbiology, v.11
Journal Title
Frontiers in Cellular and Infection Microbiology
Volume
11
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/82666
DOI
10.3389/fcimb.2021.765039
ISSN
2235-2988
Abstract
A continual rise in severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection causing coronavirus disease (COVID-19) has become a global threat. The main problem comes when SARS-CoV-2 gets mutated with the rising infection and becomes more lethal for humankind than ever. Mutations in the structural proteins of SARS-CoV-2, i.e., the spike surface glycoprotein (S), envelope (E), membrane (M) and nucleocapsid (N), and replication machinery enzymes, i.e., main protease (Mpro) and RNA-dependent RNA polymerase (RdRp) creating more complexities towards pathogenesis and the available COVID-19 therapeutic strategies. This study analyzes how a minimal variation in these enzymes, especially in S protein at the genomic/proteomic level, affects pathogenesis. The structural variations are discussed in light of the failure of small molecule development in COVID-19 therapeutic strategies. We have performed in-depth sequence- and structure-based analyses of these proteins to get deeper insights into the mechanism of pathogenesis, structure-function relationships, and development of modern therapeutic approaches. Structural and functional consequences of the selected mutations on these proteins and their association with SARS-CoV-2 virulency and human health are discussed in detail in the light of our comparative genomics analysis. © Copyright © 2021 Mohammad, Choudhury, Habib, Asrani, Mathur, Umair, Anjum, Shafie, Yadav and Hassan.
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