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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

One year since the first severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was reported in China, several variants of concern (VOC) have appeared around the world, with some variants seeming to pose a greater thread to public health due to enhanced transmissibility or infectivity. This study provides a framework for molecular characterization of novel VOC and investigates the effect of mutations on the binding affinity of the receptor-binding domain (RBD) to human angiotensin-converting enzyme 2 (hACE2) using in silico approach. Notable nonsynonymous mutations in RBD of VOC include the E484K and K417N/T that can be seen in South African and Brazilian variants, and N501Y and D614G that can be seen in all VOC. Phylogenetic analyses demonstrated that although the UK-VOC and the BR-VOC fell in the clade GR, they have different mutation signatures, implying an independent evolutionary pathway. The same is true about SA-VOC and COH-VOC felling in clade GH, but different mutation signatures. Combining molecular interaction modeling and the free energy of binding (FEB) calculations for VOC, it can be assumed that the mutation N501Y has the highest binding affinity in RBD for all VOC, followed by E484K (only for BR-VOC), which favors the formation of a stable complex. However, mutations at the residue K417N/T are shown to reduce the binding affinity. Once vaccination has started, there will be selective pressure that would be in favor of the emergence of novel variants capable of escaping the immune system. Therefore, genomic surveillance should be enhanced to find and monitor new emerging SARS-CoV-2 variants before they become a public health concern.

Details

Title
Mutation Signatures and In Silico Docking of Novel SARS-CoV-2 Variants of Concern
Author
Shahhosseini, Nariman 1 ; George (Giorgi) Babuadze 2 ; Wong, Gary 3 ; Kobinger, Gary P 4 

 Département de Microbiologie-Infectiologie et d’Immunologie, Université Laval, Québec City, QC G1V4G2, Canada; [email protected] (G.W.); [email protected] (G.P.K.) 
 Department of Biological Sciences, Sunnybrook Research Institute, University of Toronto, Toronto, ON M4N3M5, Canada; [email protected] 
 Département de Microbiologie-Infectiologie et d’Immunologie, Université Laval, Québec City, QC G1V4G2, Canada; [email protected] (G.W.); [email protected] (G.P.K.); Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai 200031, China 
 Département de Microbiologie-Infectiologie et d’Immunologie, Université Laval, Québec City, QC G1V4G2, Canada; [email protected] (G.W.); [email protected] (G.P.K.); Department of Medical Microbiology, University of Manitoba, Winnipeg, MB R3E0J9, Canada; Department of Immunology, University of Manitoba, Winnipeg, MB R3E0T5, Canada; Department of Pathology and Laboratory Medicine, School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-4238, USA 
First page
926
Publication year
2021
Publication date
2021
Publisher
MDPI AG
e-ISSN
20762607
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2532169294
Copyright
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.