Bioinformatics models for predicting antigenic variants of influenza A/H3N2 virus.
about
Gnarled-trunk evolutionary model of influenza A virus hemagglutininReal time forecasting of near-future evolutionIncorporating structure context of HA protein to improve antigenicity calculation for influenza virus A/H3N2A pandemic H1N1 influenza virus-like particle vaccine induces cross-protection in mice.Novel Sequence-Based Mapping of Recently Emerging H5NX Influenza Viruses Reveals Pandemic Vaccine Candidates.Determination of antigenicity-altering patches on the major surface protein of human influenza A/H3N2 virusesMolecular basis of antigenic drift in Influenza A/H3N2 strains (1968-2007) in the light of antigenantibody interactions.Using sequence data to infer the antigenicity of influenza virus.Rohlin distance and the evolution of influenza A virus: weak attractors and precursors.Correlation of influenza virus excess mortality with antigenic variation: application to rapid estimation of influenza mortality burdenPredicting influenza antigenicity from Hemagglutintin sequence data based on a joint random forest method.Sequence-based prediction for vaccine strain selection and identification of antigenic variability in foot-and-mouth disease virus.Projection of seasonal influenza severity from sequence and serological dataA computational analysis of the antigenic properties of haemagglutinin in influenza A H3N2.Evolutionary dynamics analysis of human metapneumovirus subtype A2: genetic evidence for its dominant epidemic.Inference of genotype-phenotype relationships in the antigenic evolution of human influenza A (H3N2) viruses.Computational prediction of vaccine strains for human influenza A (H3N2) viruses.Allele dynamics plots for the study of evolutionary dynamics in viral populationsDisease prediction models and operational readinessAnalysis of antigenically important residues in human influenza A virus in terms of B-cell epitopes.Sequence-based antigenic change prediction by a sparse learning method incorporating co-evolutionary information.Selecting vaccine strains for H3N2 human influenza A virus.Computational Identification of Antigenicity-Associated Sites in the Hemagglutinin Protein of A/H1N1 Seasonal Influenza Virus.Antigenic Patterns and Evolution of the Human Influenza A (H1N1) Virus.Correlating novel variable and conserved motifs in the Hemagglutinin protein with significant biological functions.ATIVS: analytical tool for influenza virus surveillanceA universal computational model for predicting antigenic variants of influenza A virus based on conserved antigenic structures.Statistical assessment of biosimilar products.Antigenic variation of the human influenza A (H3N2) virus during the 2014-2015 winter season.Quantifying selection and diversity in viruses by entropy methods, with application to the haemagglutinin of H3N2 influenza.Matrix completion with side information and its applications in predicting the antigenicity of influenza viruses.Evolutionary non-linear modelling for selecting vaccines against antigenically variable viruses.Simulation of B cell affinity maturation explains enhanced antibody cross-reactivity induced by the polyvalent malaria vaccine AMA1.Mapping of H3N2 influenza antigenic evolution in China reveals a strategy for vaccine strain recommendation.Large discrepancy between the two-way rNHT distances in hemagglutinin-inhibition assay.Models for predicting the evolution of influenza to inform vaccine strain selection.Antigenic cartography of H1N1 influenza viruses using sequence-based antigenic distance calculation.Predicting Influenza Antigenicity by Matrix Completion With Antigen and Antiserum Similarity
P2860
Q27316961-8F2DC417-3FED-4B26-86FF-BBA8CC9A01E5Q28728760-85937592-F40A-400B-98B1-83C643C5D326Q28831177-57BEB94D-140B-4454-ACB4-66BEB6FC737BQ30357052-DF178D2A-25DC-4FE6-8EFF-7EE16DA2D662Q30391540-D30EA2B6-4511-4B54-9470-EDF1CC48A71FQ30394447-FAA6F80E-51F0-4D02-9B34-58C1D75FDEA9Q30404588-98DC8A56-25F7-4131-98A3-E1D0D847DC0AQ30652766-68C5EB3F-E786-48FD-8F9E-A66EA2FFFD7EQ31043339-47BB3219-08E4-40ED-AEC7-6567826EDC56Q33658705-70FAC903-3217-45B6-BA78-3F4B1C8C9C2AQ33685639-144E19CA-59F6-46DC-8D85-E1E7DB6795CDQ33769118-B13E7B13-0A57-4BB5-9F9D-BADEA5369187Q33769997-3FA14352-EC42-4107-8E15-4CE024E364E9Q34034766-8193A9DD-AB51-491A-885D-9EE4FCC166FDQ34222659-80D14601-C9E7-4E85-9016-DEAC4BB8BDDFQ34244882-05007BCA-5A4A-4E24-886E-EA5284458638Q34261553-4A86ED7E-32E8-457F-8F58-FF859A73CBB7Q34474190-339842A7-9642-4704-BB30-C5AD915D9135Q35125272-40058AE8-7C0B-4FA3-A98A-51A9C83166F1Q35192813-726F3BB9-0B92-43F2-81C9-BE96C7515257Q35238191-F43EDAB6-04D7-4A95-949D-0B3C19A2E0EBQ35350500-7A65A59B-B1F4-4C61-8360-B083B24E30D9Q35610906-549CD1D7-0ED7-468F-B8E0-BCEE22A7D254Q36100005-861155B3-AC0D-4354-B69E-91F567554145Q36908267-DFF05493-D51B-45E2-AAE8-5290D4C6E263Q37245789-079EC0EA-477E-4A77-A3B5-0D6584EDE681Q37625759-5990F594-1084-4473-8F8A-21593CB81796Q37676061-FCB1E3A5-DA05-43E4-B142-0E181D54F8FBQ38423909-92288198-313A-4CF4-B4EF-6AE12E20CFE7Q38539323-0E9BD168-F4B6-43FC-8241-6F3C1347CCE1Q38715279-0B825F4F-37FD-4708-B34F-D52393E3472DQ42180979-B66B654C-8E38-4B3C-BF91-4937E3508BD3Q42795407-7B2BFBA3-462D-45C0-B4D8-A63B07BA7D13Q43172012-38A10E4C-FFED-41A0-A263-49676862D405Q45122022-9990F16A-BB29-40ED-AFF5-906045CE8595Q47553150-99C1E511-17AB-4002-BFB0-F2F7334CFC44Q49436056-DCD5E106-E016-4A02-86A3-EBA18ED3EA12Q58572945-B24310A5-452D-4CD4-8E13-0B807C9B2255
P2860
Bioinformatics models for predicting antigenic variants of influenza A/H3N2 virus.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
@zh-hant
name
Bioinformatics models for predicting antigenic variants of influenza A/H3N2 virus.
@en
Bioinformatics models for predicting antigenic variants of influenza A/H3N2 virus.
@nl
type
label
Bioinformatics models for predicting antigenic variants of influenza A/H3N2 virus.
@en
Bioinformatics models for predicting antigenic variants of influenza A/H3N2 virus.
@nl
prefLabel
Bioinformatics models for predicting antigenic variants of influenza A/H3N2 virus.
@en
Bioinformatics models for predicting antigenic variants of influenza A/H3N2 virus.
@nl
P2093
P2860
P356
P1433
P1476
Bioinformatics models for predicting antigenic variants of influenza A/H3N2 virus.
@en
P2093
Chao A Hsiung
Chin-Yu Ko
Min-Shi Lee
P2860
P304
P356
10.1093/BIOINFORMATICS/BTM638
P407
P577
2008-01-10T00:00:00Z