Using sequence data to infer the antigenicity of influenza virus.

ABSTRACT:

Unlabelled

The efficacy of current influenza vaccines requires a close antigenic match between circulating and vaccine strains. As such, timely identification of emerging influenza virus antigenic variants is central to the success of influenza vaccination programs. Empirical methods to determine influenza virus antigenic properties are time-consuming and mid-throughput and require live viruses. Here, we present a novel, experimentally validated, computational method for determining influenza virus antigenicity on the basis of hemagglutinin (HA) sequence. This method integrates a bootstrapped ridge regression with antigenic mapping to quantify antigenic distances by using influenza HA1 sequences. Our method was applied to H3N2 seasonal influenza viruses and identified the 13 previo

SUBMITTER: Sun H 

PROVIDER: S-EPMC3705446 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature