Mutation Signatures and In Silico Docking of Novel SARS-CoV-2 Variants of Concern
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 st...
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doaj-772931b646024e7c909295509e263dc22021-04-26T23:01:25ZengMDPI AGMicroorganisms2076-26072021-04-01992692610.3390/microorganisms9050926Mutation Signatures and In Silico Docking of Novel SARS-CoV-2 Variants of ConcernNariman Shahhosseini0George (Giorgi) Babuadze1Gary Wong2Gary P. Kobinger3Département de Microbiologie-Infectiologie et d’Immunologie, Université Laval, Québec City, QC G1V4G2, CanadaDepartment of Biological Sciences, Sunnybrook Research Institute, University of Toronto, Toronto, ON M4N3M5, CanadaDépartement de Microbiologie-Infectiologie et d’Immunologie, Université Laval, Québec City, QC G1V4G2, CanadaDépartement de Microbiologie-Infectiologie et d’Immunologie, Université Laval, Québec City, QC G1V4G2, CanadaOne 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 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.https://www.mdpi.com/2076-2607/9/5/926SARS-CoV-2variants of concernmutationmolecular interactionbinding free energy |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nariman Shahhosseini George (Giorgi) Babuadze Gary Wong Gary P. Kobinger |
spellingShingle |
Nariman Shahhosseini George (Giorgi) Babuadze Gary Wong Gary P. Kobinger Mutation Signatures and In Silico Docking of Novel SARS-CoV-2 Variants of Concern Microorganisms SARS-CoV-2 variants of concern mutation molecular interaction binding free energy |
author_facet |
Nariman Shahhosseini George (Giorgi) Babuadze Gary Wong Gary P. Kobinger |
author_sort |
Nariman Shahhosseini |
title |
Mutation Signatures and In Silico Docking of Novel SARS-CoV-2 Variants of Concern |
title_short |
Mutation Signatures and In Silico Docking of Novel SARS-CoV-2 Variants of Concern |
title_full |
Mutation Signatures and In Silico Docking of Novel SARS-CoV-2 Variants of Concern |
title_fullStr |
Mutation Signatures and In Silico Docking of Novel SARS-CoV-2 Variants of Concern |
title_full_unstemmed |
Mutation Signatures and In Silico Docking of Novel SARS-CoV-2 Variants of Concern |
title_sort |
mutation signatures and in silico docking of novel sars-cov-2 variants of concern |
publisher |
MDPI AG |
series |
Microorganisms |
issn |
2076-2607 |
publishDate |
2021-04-01 |
description |
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 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. |
topic |
SARS-CoV-2 variants of concern mutation molecular interaction binding free energy |
url |
https://www.mdpi.com/2076-2607/9/5/926 |
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