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Computational simulation of interactions between SARS coronavirus spike mutants and host species-specific receptors
As a critical adaptive mechanism, amino acid replacements on the severe acute respiratory syndrome coronavirus (SARS-CoV) spike protein could alter the receptor-binding specificity of this envelope glycoprotein and in turn lead to the emergence or reemergence of this viral zoonosis. Based on the X-r...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7106403/ https://www.ncbi.nlm.nih.gov/pubmed/17368104 http://dx.doi.org/10.1016/j.compbiolchem.2007.02.006 |
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author | Zhang, Yuan Zheng, Nan Nan, Peng Cao, Ying Hasegawa, Masami Zhong, Yang |
author_facet | Zhang, Yuan Zheng, Nan Nan, Peng Cao, Ying Hasegawa, Masami Zhong, Yang |
author_sort | Zhang, Yuan |
collection | PubMed |
description | As a critical adaptive mechanism, amino acid replacements on the severe acute respiratory syndrome coronavirus (SARS-CoV) spike protein could alter the receptor-binding specificity of this envelope glycoprotein and in turn lead to the emergence or reemergence of this viral zoonosis. Based on the X-ray structures of SARS-CoV spike receptor-binding domain (RBD) in complex with its functional receptor (angiotensin-converting enzyme 2, ACE2), we perform computational simulations of interactions between three representative RBD mutants and four host species-specific receptors. The comparisons between computational predictions and experimental evidences validate our structural bioinformatics approaches. And the predictions further indicate that some viral prototypes might utilize the rat ACE2 while rats might serve as a vector or reservoir of SARS-CoV. |
format | Online Article Text |
id | pubmed-7106403 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71064032020-03-31 Computational simulation of interactions between SARS coronavirus spike mutants and host species-specific receptors Zhang, Yuan Zheng, Nan Nan, Peng Cao, Ying Hasegawa, Masami Zhong, Yang Comput Biol Chem Article As a critical adaptive mechanism, amino acid replacements on the severe acute respiratory syndrome coronavirus (SARS-CoV) spike protein could alter the receptor-binding specificity of this envelope glycoprotein and in turn lead to the emergence or reemergence of this viral zoonosis. Based on the X-ray structures of SARS-CoV spike receptor-binding domain (RBD) in complex with its functional receptor (angiotensin-converting enzyme 2, ACE2), we perform computational simulations of interactions between three representative RBD mutants and four host species-specific receptors. The comparisons between computational predictions and experimental evidences validate our structural bioinformatics approaches. And the predictions further indicate that some viral prototypes might utilize the rat ACE2 while rats might serve as a vector or reservoir of SARS-CoV. Elsevier Ltd. 2007-04 2007-02-17 /pmc/articles/PMC7106403/ /pubmed/17368104 http://dx.doi.org/10.1016/j.compbiolchem.2007.02.006 Text en Copyright © 2007 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 Zhang, Yuan Zheng, Nan Nan, Peng Cao, Ying Hasegawa, Masami Zhong, Yang Computational simulation of interactions between SARS coronavirus spike mutants and host species-specific receptors |
title | Computational simulation of interactions between SARS coronavirus spike mutants and host species-specific receptors |
title_full | Computational simulation of interactions between SARS coronavirus spike mutants and host species-specific receptors |
title_fullStr | Computational simulation of interactions between SARS coronavirus spike mutants and host species-specific receptors |
title_full_unstemmed | Computational simulation of interactions between SARS coronavirus spike mutants and host species-specific receptors |
title_short | Computational simulation of interactions between SARS coronavirus spike mutants and host species-specific receptors |
title_sort | computational simulation of interactions between sars coronavirus spike mutants and host species-specific receptors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7106403/ https://www.ncbi.nlm.nih.gov/pubmed/17368104 http://dx.doi.org/10.1016/j.compbiolchem.2007.02.006 |
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