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Measuring Influenza Neutralizing Antibody Responses to AH3N2 Viruses in Human Sera by Microneutralization Assays Using MDCK-SIAT1 Cells
Published on: November 22, 2017
Predicting Influenza H3N2 Vaccine Efficacy From Evolution of the Dominant Epitope
Melia E Bonomo1,2, Michael W Deem1,2,3
1Department of Physics and Astronomy, Rice University, Houston, Texas.
Abstract:
We predict vaccine efficacy with a measure of antigenic distance between influenza A(H3N2) and vaccine viruses based on amino acid substitutions in the dominant epitope. In 2016-2017, our model predicts 19% efficacy compared with 20% observed. This tool assists candidate vaccine selection by predicting human protection against circulating strains.
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