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

Bioinformatics
Yu-Chieh LiaoChao A Hsiung

Abstract

Continual and accumulated mutations in hemagglutinin (HA) protein of influenza A virus generate novel antigenic strains that cause annual epidemics. 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.

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Citations

Apr 15, 2010·Bioinformatics·William D LeesAdrian J Shepherd
May 12, 2009·Nucleic Acids Research·Yu-Chieh LiaoChao A Hsiung
Oct 21, 2010·Nucleic Acids Research·Lars Steinbrück, Alice Carolyn McHardy
Apr 20, 2012·Journal of the Royal Society, Interface·Philip J Gerrish, Paul D Sniegowski
Jul 4, 2013·MBio·Hailiang SunXiu-Feng Wan
Apr 26, 2012·PLoS Computational Biology·Lars Steinbrück, Alice Carolyn McHardy
Oct 27, 2011·PloS One·Kimihito ItoAyato Takada
Mar 22, 2014·PloS One·Courtney D CorleyMary J Lancaster
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Aug 16, 2016·Virologica Sinica·Yousong PengTaijiao Jiang
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Aug 21, 2018·Transboundary and Emerging Diseases·Manuel Saavedra-MontañezJosé Ivan Sánchez-Betancourt
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Nov 9, 2018·Frontiers in Microbiology·Peng WangJialiang Yang
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