Using sequence data to infer the antigenicity of influenza virus.
about
Incorporating structure context of HA protein to improve antigenicity calculation for influenza virus A/H3N2Prediction, dynamics, and visualization of antigenic phenotypes of seasonal influenza viruses.Genetic Characterization of H1N1 and H1N2 Influenza A Viruses Circulating in Ontario Pigs in 2012.Determination of antigenicity-altering patches on the major surface protein of human influenza A/H3N2 virusesPredicting influenza antigenicity from Hemagglutintin sequence data based on a joint random forest method.Pathogenicity and transmission of a swine influenza A(H6N6) virus.Sequence-based antigenic change prediction by a sparse learning method incorporating co-evolutionary information.Challenges in antigenic characterization of circulating influenza A(H3N2) viruses during the 2011-2012 influenza season: an ongoing problem?Computational Identification of Antigenicity-Associated Sites in the Hemagglutinin Protein of A/H1N1 Seasonal Influenza Virus.Multi-Dimensional Measurement of Antibody-Mediated Heterosubtypic Immunity to Influenza.Identification of Low- and High-Impact Hemagglutinin Amino Acid Substitutions That Drive Antigenic Drift of Influenza A(H1N1) Viruses.Selection of antigenically advanced variants of seasonal influenza viruses.Phylogenetic relationships of the HA and NA genes between vaccine and seasonal influenza A(H3N2) strains in KoreaGeneralized Hierarchical Sparse Model for Arbitrary-Order Interactive Antigenic Sites Identification in Flu Virus Data.Dynamics of virus shedding and antibody responses in influenza A virus-infected feral swineDetection of influenza antigenic variants directly from clinical samples using polyclonal antibody based proximity ligation assaysA universal computational model for predicting antigenic variants of influenza A virus based on conserved antigenic structures.Use of computational and recombinant technologies for developing novel influenza vaccines.Zoonotic Risk, Pathogenesis, and Transmission of Avian-Origin H3N2 Canine Influenza Virus.Predictive Modeling of Influenza Shows the Promise of Applied Evolutionary Biology.Models for predicting the evolution of influenza to inform vaccine strain selection.Antigenic cartography of H1N1 influenza viruses using sequence-based antigenic distance calculation.Deep mutational scanning of hemagglutinin helps predict evolutionary fates of human H3N2 influenza variantsPredicting Influenza Antigenicity by Matrix Completion With Antigen and Antiserum SimilarityComparison of Adjuvanted-Whole Inactivated Virus and Live-Attenuated Virus Vaccines against Challenge with Contemporary, Antigenically Distinct H3N2 Influenza A Viruses
P2860
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P2860
Using sequence data to infer the antigenicity of influenza virus.
description
2013 nî lūn-bûn
@nan
2013 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Using sequence data to infer the antigenicity of influenza virus.
@ast
Using sequence data to infer the antigenicity of influenza virus.
@en
type
label
Using sequence data to infer the antigenicity of influenza virus.
@ast
Using sequence data to infer the antigenicity of influenza virus.
@en
prefLabel
Using sequence data to infer the antigenicity of influenza virus.
@ast
Using sequence data to infer the antigenicity of influenza virus.
@en
P2093
P2860
P50
P356
P1433
P1476
Using sequence data to infer the antigenicity of influenza virus.
@en
P2093
Guohua Yang
Li-Ping Long
Tong Zhang
Xiu-Feng Wan
P2860
P356
10.1128/MBIO.00230-13
P577
2013-07-02T00:00:00Z