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Estimating the Binding of Sars-CoV-2 Peptides to HLA Class I in Human Subpopulations Using Artificial Neural Networks

Authors
  • La Porta, Caterina A.M.1, 2
  • Zapperi, Stefano3, 4
  • 1 Center for Complexity and Biosystems, Department of Environmental Science and Policy, University of Milan, via Celoria 26, Milano 20133, Italy
  • 2 CNR - Consiglio Nazionale delle Ricerche, Istituto di Biofisica, via Celoria 26, Milano 20133, Italy
  • 3 Center for Complexity and Biosystems, Department of Physics, University of Milan, via Celoria 16, Milano 20133, Italy
  • 4 CNR - Consiglio Nazionale delle Ricerche, Istituto di Chimica della Materia Condensata e di Tecnologie per l’Energia, via R. Cozzi 53, Milano 20125, Italy
Type
Published Article
Journal
Cell Systems
Publisher
Elsevier Inc.
Publication Date
Sep 10, 2020
Volume
11
Issue
4
Pages
412–417
Identifiers
DOI: 10.1016/j.cels.2020.08.011
PMID: 32916095
PMCID: PMC7488596
Source
PubMed Central
Keywords
License
Unknown

Abstract

The response to SARS-CoV-2 infection differs from person to person, with some patients developing more severe symptoms than others. In this paper, Caterina La Porta and Stefano Zapperi show that the immune recognition of SARS-CoV-2 viral peptides differs widely among individuals and could thus explain why they may respond differently to the virus.

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