Computational Identification of Antigenicity-Associated Sites in the Hemagglutinin Protein of A/H1N1 Seasonal Influenza Virus

doi:10.1371/journal.pone.0126742

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	Computational Identification of Antigenicity-Associated Sites in the Hemagglutinin Protein of A/H1N1 Seasonal Influenza Virus
	Ren, XW; Li, YF; Liu, XN; Shen, XP; Gao, WL; Li, JS; Ren, XW (reprint author), Lanzhou Univ, Sch Publ Hlth, Dept Epidemiol & Hlth Stat, Lanzhou, Gansu, Peoples R China.
刊名	PLOS ONE
	2015-05-15
卷号	10 期号:5
ISSN号	1932-6203
DOI	10.1371/journal.pone.0126742
文献子类	Article
英文摘要	The antigenic variability of influenza viruses has always made influenza vaccine development challenging. The punctuated nature of antigenic drift of influenza virus suggests that a relatively small number of genetic changes or combinations of genetic changes may drive changes in antigenic phenotype. The present study aimed to identify antigenicity-associated sites in the hemagglutinin protein of A/H1N1 seasonal influenza virus using computational approaches. Random Forest Regression (RFR) and Support Vector Regression based on Recursive Feature Elimination (SVR-RFE) were applied to H1N1 seasonal influenza viruses and used to analyze the associations between amino acid changes in the HA1 polypeptide and antigenic variation based on hemagglutination-inhibition (HI) assay data. Twenty-three and twenty antigenicity-associated sites were identified by RFR and SVR-RFE, respectively, by considering the joint effects of amino acid residues on antigenic drift. Our proposed approaches were further validated with the H3N2 dataset. The prediction models developed in this study can quantitatively predict antigenic differences with high prediction accuracy based only on HA1 sequences. Application of the study results can increase understanding of H1N1 seasonal influenza virus antigenic evolution and accelerate the selection of vaccine strains.
学科主题	Science & Technology - Other Topics
出版地	SAN FRANCISCO
资助项目	国家自然科学基金项目 ; 中央高校基本科研业务费专项资金
项目编号	National Natural Science Foundation of China [81102205] ; Fundamental Research Funds for the Central Universities [lzujbky-2012-155]
语种	英语
WOS记录号	WOS:000354916100096
资助机构	NSFC ; LZU
内容类型	期刊论文
源URL	[http://ir.lzu.edu.cn/handle/262010/179607]
专题	公共卫生学院_期刊论文
通讯作者	Ren, XW (reprint author), Lanzhou Univ, Sch Publ Hlth, Dept Epidemiol & Hlth Stat, Lanzhou, Gansu, Peoples R China.
推荐引用方式 GB/T 7714	Ren, XW,Li, YF,Liu, XN,et al. Computational Identification of Antigenicity-Associated Sites in the Hemagglutinin Protein of A/H1N1 Seasonal Influenza Virus[J]. PLOS ONE,2015,10(5).
APA	Ren, XW.,Li, YF.,Liu, XN.,Shen, XP.,Gao, WL.,...&Ren, XW .(2015).Computational Identification of Antigenicity-Associated Sites in the Hemagglutinin Protein of A/H1N1 Seasonal Influenza Virus.PLOS ONE,10(5).
MLA	Ren, XW,et al."Computational Identification of Antigenicity-Associated Sites in the Hemagglutinin Protein of A/H1N1 Seasonal Influenza Virus".PLOS ONE 10.5(2015).