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Immune Profile of SARS-CoV-2 Variants of Concern.


ABSTRACT: The spread of the current Sars-Cov-2 pandemics leads to the development of mutations that are constantly monitored because they could affect the efficacy of vaccines. Three recently identified mutated strains, known as variants of concern, are rapidly spreading worldwide. Here, we study possible effects of these mutations on the immune response to Sars-Cov-2 infection using NetTepi a computational method based on artificial neural networks that considers binding and stability of peptides obtained by proteasome degradation for widely represented HLA class I alleles present in human populations as well as the T-cell propensity of viral peptides that measures their immune response. Our results show variations in the number of potential highly ranked peptides ranging between 0 and 20% depending on the specific HLA allele. The results can be useful to design more specific vaccines.

SUBMITTER: La Porta CAM 

PROVIDER: S-EPMC8521889 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Immune Profile of SARS-CoV-2 Variants of Concern.

La Porta Caterina A M CAM   Zapperi Stefano S  

Frontiers in digital health 20210709


The spread of the current Sars-Cov-2 pandemics leads to the development of mutations that are constantly monitored because they could affect the efficacy of vaccines. Three recently identified mutated strains, known as variants of concern, are rapidly spreading worldwide. Here, we study possible effects of these mutations on the immune response to Sars-Cov-2 infection using NetTepi a computational method based on artificial neural networks that considers binding and stability of peptides obtaine  ...[more]

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2024-10-10 | GSE207981 | GEO