Literature DB >> 25533547

Prediction of common epitopes on hemagglutinin of the influenza A virus (H1 subtype).

Chunyan Guo1, Xin Xie2, Huijin Li1, Penghua Zhao1, Xiangrong Zhao1, Jingying Sun1, Haifang Wang1, Yang Liu1, Yan Li1, Qiaoxia Hu1, Jun Hu3, Yuan Li1.   

Abstract

Influenza A virus infection is a persistent threat to public health worldwide due to hemagglutinin (HA) variation. Current vaccines against influenza A virus provide immunity to viral isolates similar to vaccine strains. Antibodies against common epitopes provide immunity to diverse influenza virus strains and protect against future pandemic influenza. Therefore, it is vital to analyze common HA antigenic epitopes of influenza virus. In this study, 14 strains of monoclonal antibodies with high sensitivity to common epitopes of influenza virus antigens identified in our previous study were selected as the tool to predict common HA epitopes. The common HA antigenic epitopes were divided into four categories by ELISA blocking experiments, and separately, into three categories according to the preliminary results of computer simulation. Comparison between the results of computer simulations and ELISA blocking experiments indicated that at least two classes of common epitopes are present in influenza virus HA. This study provides experimental data for improving the prediction of HA epitopes of influenza virus (H1 subtype) and the development of a potential universal vaccine as well as a novel approach for the prediction of epitopes on other pathogenic microorganisms.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Blocking experiments; Computer simulation prediction; Epitope; Flu; Influenza virus; Monoclonal antibody

Mesh:

Substances:

Year:  2014        PMID: 25533547     DOI: 10.1016/j.yexmp.2014.12.005

Source DB:  PubMed          Journal:  Exp Mol Pathol        ISSN: 0014-4800            Impact factor:   3.362


  2 in total

1.  Identification and analysis of B cell epitopes of hemagglutinin of H1N1 influenza virus.

Authors:  Qing Feng; Xiao-Yan Huang; Yang-Meng Feng; Li-Jun Sun; Jing-Ying Sun; Yan Li; Xin Xie; Jun Hu; Chun-Yan Guo
Journal:  Arch Microbiol       Date:  2022-09-02       Impact factor: 2.667

2.  In silico design of recombinant multi-epitope vaccine against influenza A virus.

Authors:  Avisa Maleki; Giulia Russo; Giuseppe Alessandro Parasiliti Palumbo; Francesco Pappalardo
Journal:  BMC Bioinformatics       Date:  2022-02-02       Impact factor: 3.169

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.