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Experimental and clinical data analysis for identification of COVID-19 resistant ACE2 mutations
The high magnitude zoonotic event has caused by Severe Acute Respitarory Syndrome CoronaVirus-2 (SARS-CoV-2) is Coronavirus Disease-2019 (COVID-19) epidemics. This disease has high rate of spreading than mortality in humans. The human receptor, Angiotensin-Converting Enzyme 2 (ACE2), is the leading...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910265/ https://www.ncbi.nlm.nih.gov/pubmed/36759535 http://dx.doi.org/10.1038/s41598-022-20773-9 |
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author | Raghav, Pawan Kumar Raghav, Aditya Lathwal, Anjali Saxena, Archit Mann, Zoya Sengar, Manisha Rajalingam, Raja |
author_facet | Raghav, Pawan Kumar Raghav, Aditya Lathwal, Anjali Saxena, Archit Mann, Zoya Sengar, Manisha Rajalingam, Raja |
author_sort | Raghav, Pawan Kumar |
collection | PubMed |
description | The high magnitude zoonotic event has caused by Severe Acute Respitarory Syndrome CoronaVirus-2 (SARS-CoV-2) is Coronavirus Disease-2019 (COVID-19) epidemics. This disease has high rate of spreading than mortality in humans. The human receptor, Angiotensin-Converting Enzyme 2 (ACE2), is the leading target site for viral Spike-protein (S-protein) that function as binding ligands and are responsible for their entry in humans. The patients infected with COVID-19 with comorbidities, particularly cancer patients, have a severe effect or high mortality rate because of the suppressed immune system. Nevertheless, there might be a chance wherein cancer patients cannot be infected with SARS-CoV-2 because of mutations in the ACE2, which may be resistant to the spillover between species. This study aimed to determine the mutations in the sequence of the human ACE2 protein and its dissociation with SARS-CoV-2 that might be rejecting viral transmission. The in silico approaches were performed to identify the impact of SARS-CoV-2 S-protein with ACE2 mutations, validated experimentally, occurred in the patient, and reported in cell lines. The identified changes significantly affect SARS-CoV-2 S-protein interaction with ACE2, demonstrating the reduction in the binding affinity compared to SARS-CoV. The data presented in this study suggest ACE2 mutants have a higher and lower affinity with SARS-Cov-2 S-protein to the wild-type human ACE2 receptor. This study would likely be used to report SARS-CoV-2 resistant ACE2 mutations and can be used to design active peptide development to inactivate the viral spread of SARS-CoV-2 in humans. |
format | Online Article Text |
id | pubmed-9910265 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-99102652023-02-10 Experimental and clinical data analysis for identification of COVID-19 resistant ACE2 mutations Raghav, Pawan Kumar Raghav, Aditya Lathwal, Anjali Saxena, Archit Mann, Zoya Sengar, Manisha Rajalingam, Raja Sci Rep Article The high magnitude zoonotic event has caused by Severe Acute Respitarory Syndrome CoronaVirus-2 (SARS-CoV-2) is Coronavirus Disease-2019 (COVID-19) epidemics. This disease has high rate of spreading than mortality in humans. The human receptor, Angiotensin-Converting Enzyme 2 (ACE2), is the leading target site for viral Spike-protein (S-protein) that function as binding ligands and are responsible for their entry in humans. The patients infected with COVID-19 with comorbidities, particularly cancer patients, have a severe effect or high mortality rate because of the suppressed immune system. Nevertheless, there might be a chance wherein cancer patients cannot be infected with SARS-CoV-2 because of mutations in the ACE2, which may be resistant to the spillover between species. This study aimed to determine the mutations in the sequence of the human ACE2 protein and its dissociation with SARS-CoV-2 that might be rejecting viral transmission. The in silico approaches were performed to identify the impact of SARS-CoV-2 S-protein with ACE2 mutations, validated experimentally, occurred in the patient, and reported in cell lines. The identified changes significantly affect SARS-CoV-2 S-protein interaction with ACE2, demonstrating the reduction in the binding affinity compared to SARS-CoV. The data presented in this study suggest ACE2 mutants have a higher and lower affinity with SARS-Cov-2 S-protein to the wild-type human ACE2 receptor. This study would likely be used to report SARS-CoV-2 resistant ACE2 mutations and can be used to design active peptide development to inactivate the viral spread of SARS-CoV-2 in humans. Nature Publishing Group UK 2023-02-09 /pmc/articles/PMC9910265/ /pubmed/36759535 http://dx.doi.org/10.1038/s41598-022-20773-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Raghav, Pawan Kumar Raghav, Aditya Lathwal, Anjali Saxena, Archit Mann, Zoya Sengar, Manisha Rajalingam, Raja Experimental and clinical data analysis for identification of COVID-19 resistant ACE2 mutations |
title | Experimental and clinical data analysis for identification of COVID-19 resistant ACE2 mutations |
title_full | Experimental and clinical data analysis for identification of COVID-19 resistant ACE2 mutations |
title_fullStr | Experimental and clinical data analysis for identification of COVID-19 resistant ACE2 mutations |
title_full_unstemmed | Experimental and clinical data analysis for identification of COVID-19 resistant ACE2 mutations |
title_short | Experimental and clinical data analysis for identification of COVID-19 resistant ACE2 mutations |
title_sort | experimental and clinical data analysis for identification of covid-19 resistant ace2 mutations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910265/ https://www.ncbi.nlm.nih.gov/pubmed/36759535 http://dx.doi.org/10.1038/s41598-022-20773-9 |
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