Cargando…
Computational characterization and design of SARS coronavirus receptor recognition and antibody neutralization
The sequential determination of crystal structures of the SARS coronavirus spike receptor-binding domain (RBD) in complex with its cellular receptor or neutralizing antibody opened a door for the design and development of antiviral competitive inhibitors. Based on those complex structures, we conduc...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7106420/ https://www.ncbi.nlm.nih.gov/pubmed/17374510 http://dx.doi.org/10.1016/j.compbiolchem.2007.02.005 |
_version_ | 1783512604705030144 |
---|---|
author | Zhang, Yuan Zheng, Nan Zhong, Yang |
author_facet | Zhang, Yuan Zheng, Nan Zhong, Yang |
author_sort | Zhang, Yuan |
collection | PubMed |
description | The sequential determination of crystal structures of the SARS coronavirus spike receptor-binding domain (RBD) in complex with its cellular receptor or neutralizing antibody opened a door for the design and development of antiviral competitive inhibitors. Based on those complex structures, we conduct computational characterization and design of RBD-mediated receptor recognition and antibody neutralization. The comparisons between computational predictions and experimental evidences validate our structural bioinformatics protocols. And the calculations predict a number of single substitutions on RBD, receptor or antibody that could remarkably elevate the binding affinities of those complexes. It is reasonable to anticipate our structure-based computation-derived hypotheses could be informative to the future biochemical and immunological tests. |
format | Online Article Text |
id | pubmed-7106420 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71064202020-03-31 Computational characterization and design of SARS coronavirus receptor recognition and antibody neutralization Zhang, Yuan Zheng, Nan Zhong, Yang Comput Biol Chem Brief Communication The sequential determination of crystal structures of the SARS coronavirus spike receptor-binding domain (RBD) in complex with its cellular receptor or neutralizing antibody opened a door for the design and development of antiviral competitive inhibitors. Based on those complex structures, we conduct computational characterization and design of RBD-mediated receptor recognition and antibody neutralization. The comparisons between computational predictions and experimental evidences validate our structural bioinformatics protocols. And the calculations predict a number of single substitutions on RBD, receptor or antibody that could remarkably elevate the binding affinities of those complexes. It is reasonable to anticipate our structure-based computation-derived hypotheses could be informative to the future biochemical and immunological tests. Elsevier Ltd. 2007-04 2007-02-17 /pmc/articles/PMC7106420/ /pubmed/17374510 http://dx.doi.org/10.1016/j.compbiolchem.2007.02.005 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 | Brief Communication Zhang, Yuan Zheng, Nan Zhong, Yang Computational characterization and design of SARS coronavirus receptor recognition and antibody neutralization |
title | Computational characterization and design of SARS coronavirus receptor recognition and antibody neutralization |
title_full | Computational characterization and design of SARS coronavirus receptor recognition and antibody neutralization |
title_fullStr | Computational characterization and design of SARS coronavirus receptor recognition and antibody neutralization |
title_full_unstemmed | Computational characterization and design of SARS coronavirus receptor recognition and antibody neutralization |
title_short | Computational characterization and design of SARS coronavirus receptor recognition and antibody neutralization |
title_sort | computational characterization and design of sars coronavirus receptor recognition and antibody neutralization |
topic | Brief Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7106420/ https://www.ncbi.nlm.nih.gov/pubmed/17374510 http://dx.doi.org/10.1016/j.compbiolchem.2007.02.005 |
work_keys_str_mv | AT zhangyuan computationalcharacterizationanddesignofsarscoronavirusreceptorrecognitionandantibodyneutralization AT zhengnan computationalcharacterizationanddesignofsarscoronavirusreceptorrecognitionandantibodyneutralization AT zhongyang computationalcharacterizationanddesignofsarscoronavirusreceptorrecognitionandantibodyneutralization |