NIH R01 · 2025
Forecasting influenza evolution on a heterogeneous immune landscape
PROJECT SUMMARY Influenza virus evolves rapidly to escape immunity elicited by prior infections and vaccinations. To combat this evolution, the strains in the influenza vaccine are updated every season to keep pace with viral evolution. However, it is currently difficult to accurately forecast which viral strain will dominate the coming season, and vaccines are less effective when the wrong strain is chosen for the vaccine. Here we propose a combined experimental / computational approach that will overcome some of the factors that currently make vaccine strain selection so difficult. First, we will use a new deep mutational scanning approach to directly map the genotypes of the viral…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.