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Bioinformatics-based prediction of conformational epitopes for Enterovirus A71 and Coxsackievirus A16
Enterovirus A71 (EV-A71), Coxsackievirus A16 (CV-A16) and CV-A10 are the major causative agents of hand, foot and mouth disease (HFMD). The conformational epitopes play a vital role in monitoring the antigenic evolution, predicting dominant strains and preparing vaccines. In this study, we employed...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7952546/ https://www.ncbi.nlm.nih.gov/pubmed/33707530 http://dx.doi.org/10.1038/s41598-021-84891-6 |
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author | Wang, Liping Zhu, Miao Fang, Yulu Rong, Hao Gao, Liuying Liao, Qi Zhang, Lina Dong, Changzheng |
author_facet | Wang, Liping Zhu, Miao Fang, Yulu Rong, Hao Gao, Liuying Liao, Qi Zhang, Lina Dong, Changzheng |
author_sort | Wang, Liping |
collection | PubMed |
description | Enterovirus A71 (EV-A71), Coxsackievirus A16 (CV-A16) and CV-A10 are the major causative agents of hand, foot and mouth disease (HFMD). The conformational epitopes play a vital role in monitoring the antigenic evolution, predicting dominant strains and preparing vaccines. In this study, we employed a Bioinformatics-based algorithm to predict the conformational epitopes of EV-A71 and CV-A16 and compared with that of CV-A10. Prediction results revealed that the distribution patterns of conformational epitopes of EV-A71 and CV-A16 were similar to that of CV-A10 and their epitopes likewise consisted of three sites: site 1 (on the “north rim” of the canyon around the fivefold vertex), site 2 (on the “puff”) and site 3 (one part was in the “knob” and the other was near the threefold vertex). The reported epitopes highly overlapped with our predicted epitopes indicating the predicted results were reliable. These data suggested that three-site distribution pattern may be the basic distribution role of epitopes on the enteroviruses capsids. Our prediction results of EV-A71 and CV-A16 can provide essential information for monitoring the antigenic evolution of enterovirus. |
format | Online Article Text |
id | pubmed-7952546 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79525462021-03-12 Bioinformatics-based prediction of conformational epitopes for Enterovirus A71 and Coxsackievirus A16 Wang, Liping Zhu, Miao Fang, Yulu Rong, Hao Gao, Liuying Liao, Qi Zhang, Lina Dong, Changzheng Sci Rep Article Enterovirus A71 (EV-A71), Coxsackievirus A16 (CV-A16) and CV-A10 are the major causative agents of hand, foot and mouth disease (HFMD). The conformational epitopes play a vital role in monitoring the antigenic evolution, predicting dominant strains and preparing vaccines. In this study, we employed a Bioinformatics-based algorithm to predict the conformational epitopes of EV-A71 and CV-A16 and compared with that of CV-A10. Prediction results revealed that the distribution patterns of conformational epitopes of EV-A71 and CV-A16 were similar to that of CV-A10 and their epitopes likewise consisted of three sites: site 1 (on the “north rim” of the canyon around the fivefold vertex), site 2 (on the “puff”) and site 3 (one part was in the “knob” and the other was near the threefold vertex). The reported epitopes highly overlapped with our predicted epitopes indicating the predicted results were reliable. These data suggested that three-site distribution pattern may be the basic distribution role of epitopes on the enteroviruses capsids. Our prediction results of EV-A71 and CV-A16 can provide essential information for monitoring the antigenic evolution of enterovirus. Nature Publishing Group UK 2021-03-11 /pmc/articles/PMC7952546/ /pubmed/33707530 http://dx.doi.org/10.1038/s41598-021-84891-6 Text en © The Author(s) 2021 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/. |
spellingShingle | Article Wang, Liping Zhu, Miao Fang, Yulu Rong, Hao Gao, Liuying Liao, Qi Zhang, Lina Dong, Changzheng Bioinformatics-based prediction of conformational epitopes for Enterovirus A71 and Coxsackievirus A16 |
title | Bioinformatics-based prediction of conformational epitopes for Enterovirus A71 and Coxsackievirus A16 |
title_full | Bioinformatics-based prediction of conformational epitopes for Enterovirus A71 and Coxsackievirus A16 |
title_fullStr | Bioinformatics-based prediction of conformational epitopes for Enterovirus A71 and Coxsackievirus A16 |
title_full_unstemmed | Bioinformatics-based prediction of conformational epitopes for Enterovirus A71 and Coxsackievirus A16 |
title_short | Bioinformatics-based prediction of conformational epitopes for Enterovirus A71 and Coxsackievirus A16 |
title_sort | bioinformatics-based prediction of conformational epitopes for enterovirus a71 and coxsackievirus a16 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7952546/ https://www.ncbi.nlm.nih.gov/pubmed/33707530 http://dx.doi.org/10.1038/s41598-021-84891-6 |
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