Alliance for Pandemic Preparedness

December 3, 2020

Predicted Cellular Immunity Population Coverage Gaps for SARS-CoV-2 Subunit Vaccines and Their Augmentation by Compact Peptide Sets

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  • Using machine learning predictions and clinical data from convalescent COVID-19 patients, Liu et al. developed a vaccine design that would incorporate enough pathogen components to elicit an immune response across a diverse population of people. The study also indicates that current vaccine candidates, which are largely based only on the SARS-CoV-2 spike protein and receptor binding domain (RBD), may have gaps in their effectiveness to elicit an immune response that depend on a person’s genetic ancestry.

Liu et al. (Nov 27, 2020). Predicted Cellular Immunity Population Coverage Gaps for SARS-CoV-2 Subunit Vaccines and Their Augmentation by Compact Peptide Sets. Cell Systems. https://doi.org/10.1016/j.cels.2020.11.010