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Computational approach for predicting the conserved B-cell epitopes of hemagglutinin H7 subtype influenza virus

An avian-origin influenza H7N9 virus epidemic occurred in China in 2013–2014, in which >422 infected people suffered from pneumonia, respiratory distress syndrome and septic shock. H7N9 viruses belong to the H7 subtype of avian-origin influenza viruses (AIV-H7). Hemagglutinin (HA) is a vital memb...

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Autores principales: Wang, Xiangyu, Sun, Qi, Ye, Zhonghua, Hua, Ying, Shao, Na, Du, Yanli, Zhang, Qiwei, Wan, Chengsong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5038878/
https://www.ncbi.nlm.nih.gov/pubmed/27703505
http://dx.doi.org/10.3892/etm.2016.3636
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author Wang, Xiangyu
Sun, Qi
Ye, Zhonghua
Hua, Ying
Shao, Na
Du, Yanli
Zhang, Qiwei
Wan, Chengsong
author_facet Wang, Xiangyu
Sun, Qi
Ye, Zhonghua
Hua, Ying
Shao, Na
Du, Yanli
Zhang, Qiwei
Wan, Chengsong
author_sort Wang, Xiangyu
collection PubMed
description An avian-origin influenza H7N9 virus epidemic occurred in China in 2013–2014, in which >422 infected people suffered from pneumonia, respiratory distress syndrome and septic shock. H7N9 viruses belong to the H7 subtype of avian-origin influenza viruses (AIV-H7). Hemagglutinin (HA) is a vital membrane protein of AIV that has an important role in host recognition and infection. The epitopes of HA are significant determinants of the regularity of epidemic and viral mutation and recombination mechanisms. The present study aimed to predict the conserved B-cell epitopes of AIV-H7 HA using a bioinformatics approach, including the three most effective epitope prediction softwares available online: Artificial Neural Network based B-cell Epitope Prediction (ABCpred), B-cell Epitope Prediction (BepiPred) and Linear B-cell Epitope Prediction (LBtope). A total of 24 strains of Euro-Asiatic AIV-H7 that had been associated with a serious poultry pandemic or had infected humans in the past 30 years were selected to identify the conserved regions of HA. Sequences were obtained from the National Center for Biotechnology Information and Global Initiative on Sharing Avian Influenza Data databases. Using a combination of software prediction and sequence comparisons, the conserved epitopes of AIV-H7 were predicted and clarified. A total of five conserved epitopes [amino acids (aa) 37–52, 131–142, 215–234, 465–484 and 487–505] with a suitable length, high antigenicity and minimal variation were predicted and confirmed. Each obtained a score of >0.80 in ABCpred, 60% in LBtope and a level of 0.35 in Bepipred. In addition, a representative amino acid change (glutamine(235)-to-leucine(235)) in the HA protein of the 2013 AIV-H7N9 was discovered. The strategy adopted in the present study may have profound implications on the rapid diagnosis and control of infectious disease caused by H7N9 viruses, as well as by other virulent viruses, such as the Ebola virus.
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spelling pubmed-50388782016-10-04 Computational approach for predicting the conserved B-cell epitopes of hemagglutinin H7 subtype influenza virus Wang, Xiangyu Sun, Qi Ye, Zhonghua Hua, Ying Shao, Na Du, Yanli Zhang, Qiwei Wan, Chengsong Exp Ther Med Articles An avian-origin influenza H7N9 virus epidemic occurred in China in 2013–2014, in which >422 infected people suffered from pneumonia, respiratory distress syndrome and septic shock. H7N9 viruses belong to the H7 subtype of avian-origin influenza viruses (AIV-H7). Hemagglutinin (HA) is a vital membrane protein of AIV that has an important role in host recognition and infection. The epitopes of HA are significant determinants of the regularity of epidemic and viral mutation and recombination mechanisms. The present study aimed to predict the conserved B-cell epitopes of AIV-H7 HA using a bioinformatics approach, including the three most effective epitope prediction softwares available online: Artificial Neural Network based B-cell Epitope Prediction (ABCpred), B-cell Epitope Prediction (BepiPred) and Linear B-cell Epitope Prediction (LBtope). A total of 24 strains of Euro-Asiatic AIV-H7 that had been associated with a serious poultry pandemic or had infected humans in the past 30 years were selected to identify the conserved regions of HA. Sequences were obtained from the National Center for Biotechnology Information and Global Initiative on Sharing Avian Influenza Data databases. Using a combination of software prediction and sequence comparisons, the conserved epitopes of AIV-H7 were predicted and clarified. A total of five conserved epitopes [amino acids (aa) 37–52, 131–142, 215–234, 465–484 and 487–505] with a suitable length, high antigenicity and minimal variation were predicted and confirmed. Each obtained a score of >0.80 in ABCpred, 60% in LBtope and a level of 0.35 in Bepipred. In addition, a representative amino acid change (glutamine(235)-to-leucine(235)) in the HA protein of the 2013 AIV-H7N9 was discovered. The strategy adopted in the present study may have profound implications on the rapid diagnosis and control of infectious disease caused by H7N9 viruses, as well as by other virulent viruses, such as the Ebola virus. D.A. Spandidos 2016-10 2016-08-31 /pmc/articles/PMC5038878/ /pubmed/27703505 http://dx.doi.org/10.3892/etm.2016.3636 Text en Copyright: © Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Wang, Xiangyu
Sun, Qi
Ye, Zhonghua
Hua, Ying
Shao, Na
Du, Yanli
Zhang, Qiwei
Wan, Chengsong
Computational approach for predicting the conserved B-cell epitopes of hemagglutinin H7 subtype influenza virus
title Computational approach for predicting the conserved B-cell epitopes of hemagglutinin H7 subtype influenza virus
title_full Computational approach for predicting the conserved B-cell epitopes of hemagglutinin H7 subtype influenza virus
title_fullStr Computational approach for predicting the conserved B-cell epitopes of hemagglutinin H7 subtype influenza virus
title_full_unstemmed Computational approach for predicting the conserved B-cell epitopes of hemagglutinin H7 subtype influenza virus
title_short Computational approach for predicting the conserved B-cell epitopes of hemagglutinin H7 subtype influenza virus
title_sort computational approach for predicting the conserved b-cell epitopes of hemagglutinin h7 subtype influenza virus
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5038878/
https://www.ncbi.nlm.nih.gov/pubmed/27703505
http://dx.doi.org/10.3892/etm.2016.3636
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