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

Ge Liu, View ORCID ProfileBrandon Carter, David K. Gifford
doi: https://doi.org/10.1101/2020.08.04.200691
Ge Liu
aMIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
bMIT Electrical Engineering and Computer Science, Cambridge, MA, USA
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Brandon Carter
aMIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
bMIT Electrical Engineering and Computer Science, Cambridge, MA, USA
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  • ORCID record for Brandon Carter
David K. Gifford
aMIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
bMIT Electrical Engineering and Computer Science, Cambridge, MA, USA
cMIT Biological Engineering, Cambridge, MA, USA
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  • For correspondence: gifford@mit.edu
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Abstract

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 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.

Competing Interest Statement

David Gifford is a founder and shareholder of ThinkTx.

Footnotes

  • https://github.com/gifford-lab/optivax

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted October 21, 2020.
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Predicted Cellular Immunity Population Coverage Gaps for SARS-CoV-2 Subunit Vaccines and their Augmentation by Compact Peptide Sets
Ge Liu, Brandon Carter, David K. Gifford
bioRxiv 2020.08.04.200691; doi: https://doi.org/10.1101/2020.08.04.200691
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Predicted Cellular Immunity Population Coverage Gaps for SARS-CoV-2 Subunit Vaccines and their Augmentation by Compact Peptide Sets
Ge Liu, Brandon Carter, David K. Gifford
bioRxiv 2020.08.04.200691; doi: https://doi.org/10.1101/2020.08.04.200691

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