Article

Robust computational design and evaluation of peptide vaccines for cellular immunity with application to SARS-CoV-2

2020-05-17

Abstract excerpt

<h4>ABSTRACT</h4> We present a combinatorial machine learning method to evaluate and optimize peptide vaccine formulations, and we find for SARS-CoV-2 that it provides superior predicted display of viral epitopes by MHC class I and MHC class II molecules over populations when compared to other candidate vaccines. Our method is robust to idiosyncratic errors in the prediction of MHC peptide display and considers t...

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Identifiers and source

Literature Corpus work: 94221a4b-2131-53d8-8f30-8599811e5953
DOI: 10.1101/2020.05.16.088989

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