Predicting influenza H3N2 vaccine efficacy from evolution of the dominant epitope
classification
🧬 q-bio.PE
keywords
vaccineefficacycandidatedominanth3n2influenzapredictingacid
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We predict vaccine efficacy with a measure of antigenic distance between influenza A(H3N2) and candidate vaccine viruses based on amino acid substitutions in the dominant epitopes. In 2016-2017, our model predicts 19% efficacy compared to 20% observed. This tool assists candidate vaccine selection by predicting human protection against circulating strains.
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