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Computational Prediction of the Epitopes of HA1 Protein of Influenza Viruses to its Neutralizing Antibodies

In this work, we have used a new method to predict the epitopes of HA1 protein of influenza virus to several antibodies HC19, CR9114, BH151 and 4F5. While our results reproduced the binding epitopes of H3N2 or H5N1 for the neutralizing antibodies HC19, CR9114, and BH151 as revealed from the availabl...

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Detalles Bibliográficos
Autores principales: Zeng, Xiaoyan, Legge, Fiona S., Huang, Chao, Zhang, Xiao, Jiao, Yongjun, Treutlein, Herbert R., Zeng, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6640696/
https://www.ncbi.nlm.nih.gov/pubmed/31544808
http://dx.doi.org/10.3390/antib8010002
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author Zeng, Xiaoyan
Legge, Fiona S.
Huang, Chao
Zhang, Xiao
Jiao, Yongjun
Treutlein, Herbert R.
Zeng, Jun
author_facet Zeng, Xiaoyan
Legge, Fiona S.
Huang, Chao
Zhang, Xiao
Jiao, Yongjun
Treutlein, Herbert R.
Zeng, Jun
author_sort Zeng, Xiaoyan
collection PubMed
description In this work, we have used a new method to predict the epitopes of HA1 protein of influenza virus to several antibodies HC19, CR9114, BH151 and 4F5. While our results reproduced the binding epitopes of H3N2 or H5N1 for the neutralizing antibodies HC19, CR9114, and BH151 as revealed from the available crystal structures, additional epitopes for these antibodies were also suggested. Moreover, the predicted epitopes of H5N1 HA1 for the newly developed antibody 4F5 are located at the receptor binding domain, while previous study identified a region 76-WLLGNP-81 as the epitope. The possibility of antibody recognition of influenza virus via different mechanism by binding to different epitopes of an antigen is also discussed.
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spelling pubmed-66406962019-09-05 Computational Prediction of the Epitopes of HA1 Protein of Influenza Viruses to its Neutralizing Antibodies Zeng, Xiaoyan Legge, Fiona S. Huang, Chao Zhang, Xiao Jiao, Yongjun Treutlein, Herbert R. Zeng, Jun Antibodies (Basel) Article In this work, we have used a new method to predict the epitopes of HA1 protein of influenza virus to several antibodies HC19, CR9114, BH151 and 4F5. While our results reproduced the binding epitopes of H3N2 or H5N1 for the neutralizing antibodies HC19, CR9114, and BH151 as revealed from the available crystal structures, additional epitopes for these antibodies were also suggested. Moreover, the predicted epitopes of H5N1 HA1 for the newly developed antibody 4F5 are located at the receptor binding domain, while previous study identified a region 76-WLLGNP-81 as the epitope. The possibility of antibody recognition of influenza virus via different mechanism by binding to different epitopes of an antigen is also discussed. MDPI 2018-12-20 /pmc/articles/PMC6640696/ /pubmed/31544808 http://dx.doi.org/10.3390/antib8010002 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zeng, Xiaoyan
Legge, Fiona S.
Huang, Chao
Zhang, Xiao
Jiao, Yongjun
Treutlein, Herbert R.
Zeng, Jun
Computational Prediction of the Epitopes of HA1 Protein of Influenza Viruses to its Neutralizing Antibodies
title Computational Prediction of the Epitopes of HA1 Protein of Influenza Viruses to its Neutralizing Antibodies
title_full Computational Prediction of the Epitopes of HA1 Protein of Influenza Viruses to its Neutralizing Antibodies
title_fullStr Computational Prediction of the Epitopes of HA1 Protein of Influenza Viruses to its Neutralizing Antibodies
title_full_unstemmed Computational Prediction of the Epitopes of HA1 Protein of Influenza Viruses to its Neutralizing Antibodies
title_short Computational Prediction of the Epitopes of HA1 Protein of Influenza Viruses to its Neutralizing Antibodies
title_sort computational prediction of the epitopes of ha1 protein of influenza viruses to its neutralizing antibodies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6640696/
https://www.ncbi.nlm.nih.gov/pubmed/31544808
http://dx.doi.org/10.3390/antib8010002
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