A bioinformatic prediction of antigen presentation from SARS-CoV-2 spike protein revealed a theoretical correlation of HLA-DRB1*01 with COVID-19 fatality in Mexican population: An ecological approach.

doi:10.1002/jmv.26561

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Article

A bioinformatic prediction of antigen presentation from SARS-CoV-2 spike protein revealed a theoretical correlation of HLA-DRB1*01 with COVID-19 fatality in Mexican population: An ecological approach.

Journal of medical virology - 1 Apr 2021

Romero-López José Pablo, Carnalla-Cortés Martha, Pacheco-Olvera Diana L, Ocampo-Godínez Juan Moisés, Oliva-Ramírez Jacqueline, Moreno-Manjón Julia, Bernal-Alferes Brian, López-Olmedo Nancy, García-Latorre Ethel, Domínguez-López María Lilia, Reyes-Sandoval Arturo, Jiménez-Zamudio Luis

Abstract excerpt

SARS-CoV-2 infection is causing a pandemic disease that is reflected in challenging public health problems worldwide. Human leukocyte antigen (HLA)-based epitope prediction and its association with disease outcomes provide an important base for treatment design. A bioinformatic prediction of T cell epitopes and their restricted HLA Class I and II alleles was performed to obtain immunogenic epitopes and HLA...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 32986250
DOI: 10.1002/jmv.26561
PMCID: PMC7537233

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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