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.

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

Zapperi S
2020

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.
2020
Istituto di Biofisica - IBF
Istituto di Chimica della Materia Condensata e di Tecnologie per l'Energia - ICMATE
Inglese
11
4
412
417.e2
9
https://www.sciencedirect.com/science/article/pii/S2405471220302957?via%3Dihub
Sì, ma tipo non specificato
artificial neural network
shaplotypes
HLA
peptides
SARS-CoV-2
T cell propensity
Highlights: o Binding of SARS-CoV-2 peptides to HLA molecules is computed o Weakly or strongly binding haplotypes are identified in human populations o Results explain variations in the individual immune response to SARS-CoV-2
2
info:eu-repo/semantics/article
262
La Porta, Cam; Zapperi, S
01 Contributo su Rivista::01.01 Articolo in rivista
open
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/377778
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