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

ABSTRACT: 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 (BepiP

SUBMITTER: Wang X 

PROVIDER: S-EPMC5038878 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature