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arxiv: 1804.04751 · v1 · pith:PWZVQDHCnew · submitted 2018-04-13 · 🧬 q-bio.PE

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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