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Immunoinformatic approach to assess SARS-CoV-2 protein S epitopes recognised by the most frequent MHC-I alleles in the Brazilian population

Moura, Ronald Rodrigues de
•
Agrelli, Almerinda
•
Santos-Silva, Carlos André
altro
Crovella, Sergio
2021
  • journal article

Periodico
JOURNAL OF CLINICAL PATHOLOGY
Abstract
Brazil is nowadays one of the epicentres of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic and new therapies are needed to face it. In the context of specific immune response against the virus, a correlation between Major Histocompatibility Complex Class I (MHC-I) and the severity of the disease in patients with COVID-19 has been suggested. Aiming at better understanding the biology of the infection and the immune response against the virus in the Brazilian population, we analysed SARS-CoV-2 protein S peptides in order to identify epitopes able to elicit an immune response mediated by the most frequent MHC-I alleles using in silico methods.
DOI
10.1136/jclinpath-2020-206946
WOS
WOS:000678990500010
Archivio
http://hdl.handle.net/11368/2970132
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85090020430
https://jcp.bmj.com/content/74/8/528.long
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7409971/
Diritti
closed access
license:digital rights management non definito
FVG url
https://arts.units.it/request-item?handle=11368/2970132
Soggetti
  • HLA antigen

  • computer

  • immunogenetic

  • molecular

  • viruses

Web of Science© citazioni
10
Data di acquisizione
Mar 28, 2024
Visualizzazioni
3
Data di acquisizione
Apr 19, 2024
Vedi dettagli
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