Literature DB >> 18187440

Bioinformatics models for predicting antigenic variants of influenza A/H3N2 virus.

Yu-Chieh Liao1, Min-Shi Lee, Chin-Yu Ko, Chao A Hsiung.   

Abstract

MOTIVATION: Continual and accumulated mutations in hemagglutinin (HA) protein of influenza A virus generate novel antigenic strains that cause annual epidemics.
RESULTS: We propose a model by incorporating scoring and regression methods to predict antigenic variants. Based on collected sequences of influenza A/H3N2 viruses isolated between 1971 and 2002, our model can be used to accurately predict the antigenic variants in 1999-2004 (agreement rate = 91.67%). Twenty amino acid positions identified in our model contribute significantly to antigenic difference and are potential immunodominant positions.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18187440     DOI: 10.1093/bioinformatics/btm638

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  44 in total

1.  Real time forecasting of near-future evolution.

Authors:  Philip J Gerrish; Paul D Sniegowski
Journal:  J R Soc Interface       Date:  2012-04-18       Impact factor: 4.118

2.  Mapping of H3N2 influenza antigenic evolution in China reveals a strategy for vaccine strain recommendation.

Authors:  Xiangjun Du; Libo Dong; Yu Lan; Yousong Peng; Aiping Wu; Ye Zhang; Weijuan Huang; Dayan Wang; Min Wang; Yuanji Guo; Yuelong Shu; Taijiao Jiang
Journal:  Nat Commun       Date:  2012-02-28       Impact factor: 14.919

3.  A computational analysis of the antigenic properties of haemagglutinin in influenza A H3N2.

Authors:  William D Lees; David S Moss; Adrian J Shepherd
Journal:  Bioinformatics       Date:  2010-04-13       Impact factor: 6.937

4.  Computational prediction of vaccine strains for human influenza A (H3N2) viruses.

Authors:  L Steinbrück; T R Klingen; A C McHardy
Journal:  J Virol       Date:  2014-08-13       Impact factor: 5.103

5.  Simulation of B cell affinity maturation explains enhanced antibody cross-reactivity induced by the polyvalent malaria vaccine AMA1.

Authors:  Sidhartha Chaudhury; Jaques Reifman; Anders Wallqvist
Journal:  J Immunol       Date:  2014-07-30       Impact factor: 5.422

6.  Large discrepancy between the two-way rNHT distances in hemagglutinin-inhibition assay.

Authors:  Yousong Peng; Dayan Wang; Yuelong Shu; Taijiao Jiang
Journal:  Virol Sin       Date:  2016-10       Impact factor: 4.327

Review 7.  Models for predicting the evolution of influenza to inform vaccine strain selection.

Authors:  Joseph K Agor; Osman Y Özaltın
Journal:  Hum Vaccin Immunother       Date:  2018-02-12       Impact factor: 3.452

8.  Analysis of antigenically important residues in human influenza A virus in terms of B-cell epitopes.

Authors:  William D Lees; David S Moss; Adrian J Shepherd
Journal:  J Virol       Date:  2011-06-15       Impact factor: 5.103

9.  Projection of seasonal influenza severity from sequence and serological data.

Authors:  Yuri I Wolf; Anastasia Nikolskaya; Joshua L Cherry; Cecile Viboud; Eugene Koonin; David J Lipman
Journal:  PLoS Curr       Date:  2010-12-03

10.  ATIVS: analytical tool for influenza virus surveillance.

Authors:  Yu-Chieh Liao; Chin-Yu Ko; Ming-Hsin Tsai; Min-Shi Lee; Chao A Hsiung
Journal:  Nucleic Acids Res       Date:  2009-05-08       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.