Bioinformatics-based prediction of conformational epitopes for Enterovirus A71 and Coxsackievirus A16

Abstract 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...

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Autores principales:	Liping Wang, Miao Zhu, Yulu Fang, Hao Rong, Liuying Gao, Qi Liao, Lina Zhang, Changzheng Dong
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f76b893e8a424f4ab947e47644149111
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spelling	oai:doaj.org-article:f76b893e8a424f4ab947e476441491112021-12-02T13:19:31ZBioinformatics-based prediction of conformational epitopes for Enterovirus A71 and Coxsackievirus A1610.1038/s41598-021-84891-62045-2322https://doaj.org/article/f76b893e8a424f4ab947e476441491112021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-84891-6https://doaj.org/toc/2045-2322Abstract 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.Liping WangMiao ZhuYulu FangHao RongLiuying GaoQi LiaoLina ZhangChangzheng DongNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Liping Wang Miao Zhu Yulu Fang Hao Rong Liuying Gao Qi Liao Lina Zhang Changzheng Dong Bioinformatics-based prediction of conformational epitopes for Enterovirus A71 and Coxsackievirus A16
description	Abstract 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	article
author	Liping Wang Miao Zhu Yulu Fang Hao Rong Liuying Gao Qi Liao Lina Zhang Changzheng Dong
author_facet	Liping Wang Miao Zhu Yulu Fang Hao Rong Liuying Gao Qi Liao Lina Zhang Changzheng Dong
author_sort	Liping Wang
title	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_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_sort	bioinformatics-based prediction of conformational epitopes for enterovirus a71 and coxsackievirus a16
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/f76b893e8a424f4ab947e47644149111
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_version_	1718393307742076928

Bioinformatics-based prediction of conformational epitopes for Enterovirus A71 and Coxsackievirus A16

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