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10.1016/j.cels.2020.11.010

http://scihub22266oqcxt.onion/10.1016/j.cels.2020.11.010
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33321075!7691134!33321075
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suck abstract from ncbi


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pmid33321075      Cell+Syst 2021 ; 12 (1): 102-107.e4
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  • Predicted Cellular Immunity Population Coverage Gaps for SARS-CoV-2 Subunit Vaccines and Their Augmentation by Compact Peptide Sets #MMPMID33321075
  • Liu G; Carter B; Gifford DK
  • Cell Syst 2021[Jan]; 12 (1): 102-107.e4 PMID33321075show ga
  • 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.
  • |*Machine Learning[MESH]
  • |COVID-19 Vaccines/administration & dosage/*immunology[MESH]
  • |COVID-19/*immunology/*prevention & control[MESH]
  • |Forecasting[MESH]
  • |Humans[MESH]
  • |Immunity, Cellular/drug effects/*immunology[MESH]


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