Lees, William D. and Moss, David S. and Shepherd, Adrian J. (2010) A computational analysis of the antigenic properties of Haemagglutinin in Influenza A H3N2. Bioinformatics 26 (11), pp. 1403-1408. ISSN 1367-4803.Full text not available from this repository.
Motivation: Modelling antigenic shift in influenza A H3N2 can help to predict the efficiency of vaccines. The virus is known to exhibit sudden jumps in antigenic distance, and prediction of such novel strains from amino acid sequence differences remains a challenge. Results: From analysis of 6624 amino acid sequences of wild-type H3, we propose updates to the frequently referenced list of 131 amino acids located at or near the five identified antibody binding regions in haemagglutinin (HA). We introduce a class of predictive models based on the analysis of amino acid changes in these binding regions, and extend the principle to changes in HA1 as a whole by dividing the molecule into regional bands. Our results show that a range of simple models based on banded changes give better predictive performance than models based on the established five canonical regions and can identify a higher proportion of vaccine escape candidates among novel strains than a current state-of-the-art model.
|School or Research Centre:||Birkbeck Schools and Research Centres > School of Science > Biological Sciences|
|Date Deposited:||04 Aug 2010 14:09|
|Last Modified:||17 Apr 2013 12:17|
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