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• W2327300044 startingPage "e1005526" @default.
• W2327300044 abstract "Determining phenotype from genetic data is a fundamental challenge. Influenza A viruses undergo rapid antigenic drift and identification of emerging antigenic variants is critical to the vaccine selection process. Using former seasonal influenza A(H1N1) viruses, hemagglutinin sequence and corresponding antigenic data were analyzed in combination with 3-D structural information. We attributed variation in hemagglutination inhibition to individual amino acid substitutions and quantified their antigenic impact, validating a subset experimentally using reverse genetics. Substitutions identified as low-impact were shown to be a critical component of influenza antigenic evolution and by including these, as well as the high-impact substitutions often focused on, the accuracy of predicting antigenic phenotypes of emerging viruses from genotype was doubled. The ability to quantify the phenotypic impact of specific amino acid substitutions should help refine techniques that predict the fitness and evolutionary success of variant viruses, leading to stronger theoretical foundations for selection of candidate vaccine viruses." @default.
• W2327300044 created "2016-06-24" @default.
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• W2327300044 date "2016-04-08" @default.
• W2327300044 modified "2023-10-16" @default.
• W2327300044 title "Identification of Low- and High-Impact Hemagglutinin Amino Acid Substitutions That Drive Antigenic Drift of Influenza A(H1N1) Viruses" @default.
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• W2327300044 doi "https://doi.org/10.1371/journal.ppat.1005526" @default.
• W2327300044 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4825936" @default.
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