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

被引:28
作者
Liu, Ge [1 ,2 ]
Carter, Brandon [1 ,2 ]
Gifford, David K. [1 ,2 ,3 ]
机构
[1] MIT, Comp Sci & Artificial Intelligence Lab, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[2] MIT, Elect Engn & Comp Sci, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[3] MIT, Biol Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA
关键词
MHC CLASS-I; COVID-19;
D O I
10.1016/j.cels.2020.11.010
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Subunit vaccines induce immunity to a pathogen by presenting a component of the pathogen and thus inherently limit the representation of pathogen peptides for cellular immunity-based memory. We find that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) subunit peptides may not be robustly displayed by the major histocompatibility complex (MHC) molecules in certain individuals. We introduce an augmentation strategy for subunit vaccines that adds a small number of SARS-CoV-2 peptides to a vaccine to improve the population coverage of pathogen peptide display. Our population coverage estimates integrate clinical data on peptide immunogenicity in convalescent COVID-19 patients and machine learning predictions. We evaluate the population coverage of 9 different subunits of SARS-CoV-2, including 5 functional domains and 4 full proteins, and augment each of them to fill a predicted coverage gap.
引用
收藏
页码:102 / +
页数:10
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