Estimating the Binding of Sars-CoV-2 Peptides to HLA Class I in Human Subpopulations Using Artificial Neural Networks
Articolo
Data di Pubblicazione:
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.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
artificial neural network; shaplotypes; HLA; peptides; SARS-CoV-2; T cell propensity
Elenco autori:
Zapperi, Stefano; LA PORTA, CATERINA ANNA MARIA
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