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Genomic and structural mechanistic insight to reveal the differential infectivity of omicron and other variants of concern

BACKGROUND: The genome of SARS-CoV-2, is mutating rapidly and continuously challenging the management and preventive measures adopted and recommended by healthcare agencies. The spike protein is the main antigenic site that binds to the host receptor hACE-2 and is recognised by antibodies. Hence, th...

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Autores principales: Sharma, Priyanka, Kumar, Mukesh, Tripathi, Manish Kumar, Gupta, Deepali, Vishwakarma, Poorvi, Das, Uddipan, Kaur, Punit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9493144/
https://www.ncbi.nlm.nih.gov/pubmed/36195045
http://dx.doi.org/10.1016/j.compbiomed.2022.106129
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author Sharma, Priyanka
Kumar, Mukesh
Tripathi, Manish Kumar
Gupta, Deepali
Vishwakarma, Poorvi
Das, Uddipan
Kaur, Punit
author_facet Sharma, Priyanka
Kumar, Mukesh
Tripathi, Manish Kumar
Gupta, Deepali
Vishwakarma, Poorvi
Das, Uddipan
Kaur, Punit
author_sort Sharma, Priyanka
collection PubMed
description BACKGROUND: The genome of SARS-CoV-2, is mutating rapidly and continuously challenging the management and preventive measures adopted and recommended by healthcare agencies. The spike protein is the main antigenic site that binds to the host receptor hACE-2 and is recognised by antibodies. Hence, the mutations in this site were analysed to assess their role in differential infectivity of lineages having these mutations, rendering the characterisation of these lineages as variants of concern (VOC) and variants of interest (VOI). METHODS: In this work, we examined the genome sequence of SARS-CoV-2 VOCs and their phylogenetic relationships with the other PANGOLIN lineages. The mutational landscape of WHO characterized variants was determined and mutational diversity was compared amongst the different severity groups. We then computationally studied the structural impact of the mutations in receptor binding domain of the VOCs. The binding affinity was quantitatively determined by molecular dynamics simulations and free energy calculations. RESULTS: The mutational frequency, as well as phylogenetic distance, was maximum in the case of omicron followed by the delta variant. The maximum binding affinity was for delta variant followed by the Omicron variant. The increased binding affinity of delta strain followed by omicron as compared to other variants and wild type advocates high transmissibility and quick spread of these two variants and high severity of delta variant. CONCLUSION: This study delivers a foundation for discovering the improved binding knacks and structural features of SARS-CoV-2 variants to plan novel therapeutics and vaccine candidates against the virus.
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spelling pubmed-94931442022-09-22 Genomic and structural mechanistic insight to reveal the differential infectivity of omicron and other variants of concern Sharma, Priyanka Kumar, Mukesh Tripathi, Manish Kumar Gupta, Deepali Vishwakarma, Poorvi Das, Uddipan Kaur, Punit Comput Biol Med Article BACKGROUND: The genome of SARS-CoV-2, is mutating rapidly and continuously challenging the management and preventive measures adopted and recommended by healthcare agencies. The spike protein is the main antigenic site that binds to the host receptor hACE-2 and is recognised by antibodies. Hence, the mutations in this site were analysed to assess their role in differential infectivity of lineages having these mutations, rendering the characterisation of these lineages as variants of concern (VOC) and variants of interest (VOI). METHODS: In this work, we examined the genome sequence of SARS-CoV-2 VOCs and their phylogenetic relationships with the other PANGOLIN lineages. The mutational landscape of WHO characterized variants was determined and mutational diversity was compared amongst the different severity groups. We then computationally studied the structural impact of the mutations in receptor binding domain of the VOCs. The binding affinity was quantitatively determined by molecular dynamics simulations and free energy calculations. RESULTS: The mutational frequency, as well as phylogenetic distance, was maximum in the case of omicron followed by the delta variant. The maximum binding affinity was for delta variant followed by the Omicron variant. The increased binding affinity of delta strain followed by omicron as compared to other variants and wild type advocates high transmissibility and quick spread of these two variants and high severity of delta variant. CONCLUSION: This study delivers a foundation for discovering the improved binding knacks and structural features of SARS-CoV-2 variants to plan novel therapeutics and vaccine candidates against the virus. Elsevier Ltd. 2022-11 2022-09-22 /pmc/articles/PMC9493144/ /pubmed/36195045 http://dx.doi.org/10.1016/j.compbiomed.2022.106129 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Sharma, Priyanka
Kumar, Mukesh
Tripathi, Manish Kumar
Gupta, Deepali
Vishwakarma, Poorvi
Das, Uddipan
Kaur, Punit
Genomic and structural mechanistic insight to reveal the differential infectivity of omicron and other variants of concern
title Genomic and structural mechanistic insight to reveal the differential infectivity of omicron and other variants of concern
title_full Genomic and structural mechanistic insight to reveal the differential infectivity of omicron and other variants of concern
title_fullStr Genomic and structural mechanistic insight to reveal the differential infectivity of omicron and other variants of concern
title_full_unstemmed Genomic and structural mechanistic insight to reveal the differential infectivity of omicron and other variants of concern
title_short Genomic and structural mechanistic insight to reveal the differential infectivity of omicron and other variants of concern
title_sort genomic and structural mechanistic insight to reveal the differential infectivity of omicron and other variants of concern
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9493144/
https://www.ncbi.nlm.nih.gov/pubmed/36195045
http://dx.doi.org/10.1016/j.compbiomed.2022.106129
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