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Analysis of the docking property of host variants of hACE2 for SARS-CoV-2 in a large cohort
The recent novel coronavirus disease (COVID-19) outbreak, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is threatening global health. However, an understanding of the interaction of SARS-CoV-2 with human cells, including the physical docking property influenced by the host’...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9302733/ https://www.ncbi.nlm.nih.gov/pubmed/35816517 http://dx.doi.org/10.1371/journal.pcbi.1009834 |
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author | Paik, Hyojung Kim, Jimin Seo, Sangjae |
author_facet | Paik, Hyojung Kim, Jimin Seo, Sangjae |
author_sort | Paik, Hyojung |
collection | PubMed |
description | The recent novel coronavirus disease (COVID-19) outbreak, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is threatening global health. However, an understanding of the interaction of SARS-CoV-2 with human cells, including the physical docking property influenced by the host’s genetic diversity, is still lacking. Here, based on germline variants in the UK Biobank covering 502,543 individuals, we revealed the molecular interactions between human angiotensin-converting enzyme 2 (hACE2), which is the representative receptor for SARS-CoV-2 entry, and COVID-19 infection. We identified six nonsense and missense variants of hACE2 from 2585 subjects in the UK Biobank covering 500000 individuals. Using our molecular dynamics simulations, three hACE2 variants from 2585 individuals we selected showed higher levels of binding free energy for docking in the range of 1.44–3.69 kcal/mol. Although there are diverse contributors to SARS-CoV-2 infections, including the mobility of individuals, we analyzed the diagnosis records of individuals with these three variants of hACE2. Our molecular dynamics simulations combined with population-based genomic data provided an atomistic understanding of the interaction between hACE2 and the spike protein of SARS-CoV-2. |
format | Online Article Text |
id | pubmed-9302733 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-93027332022-07-22 Analysis of the docking property of host variants of hACE2 for SARS-CoV-2 in a large cohort Paik, Hyojung Kim, Jimin Seo, Sangjae PLoS Comput Biol Research Article The recent novel coronavirus disease (COVID-19) outbreak, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is threatening global health. However, an understanding of the interaction of SARS-CoV-2 with human cells, including the physical docking property influenced by the host’s genetic diversity, is still lacking. Here, based on germline variants in the UK Biobank covering 502,543 individuals, we revealed the molecular interactions between human angiotensin-converting enzyme 2 (hACE2), which is the representative receptor for SARS-CoV-2 entry, and COVID-19 infection. We identified six nonsense and missense variants of hACE2 from 2585 subjects in the UK Biobank covering 500000 individuals. Using our molecular dynamics simulations, three hACE2 variants from 2585 individuals we selected showed higher levels of binding free energy for docking in the range of 1.44–3.69 kcal/mol. Although there are diverse contributors to SARS-CoV-2 infections, including the mobility of individuals, we analyzed the diagnosis records of individuals with these three variants of hACE2. Our molecular dynamics simulations combined with population-based genomic data provided an atomistic understanding of the interaction between hACE2 and the spike protein of SARS-CoV-2. Public Library of Science 2022-07-11 /pmc/articles/PMC9302733/ /pubmed/35816517 http://dx.doi.org/10.1371/journal.pcbi.1009834 Text en © 2022 Paik et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Paik, Hyojung Kim, Jimin Seo, Sangjae Analysis of the docking property of host variants of hACE2 for SARS-CoV-2 in a large cohort |
title | Analysis of the docking property of host variants of hACE2 for SARS-CoV-2 in a large cohort |
title_full | Analysis of the docking property of host variants of hACE2 for SARS-CoV-2 in a large cohort |
title_fullStr | Analysis of the docking property of host variants of hACE2 for SARS-CoV-2 in a large cohort |
title_full_unstemmed | Analysis of the docking property of host variants of hACE2 for SARS-CoV-2 in a large cohort |
title_short | Analysis of the docking property of host variants of hACE2 for SARS-CoV-2 in a large cohort |
title_sort | analysis of the docking property of host variants of hace2 for sars-cov-2 in a large cohort |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9302733/ https://www.ncbi.nlm.nih.gov/pubmed/35816517 http://dx.doi.org/10.1371/journal.pcbi.1009834 |
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