Number and degree of overlap between SARS-CoV-2 epitopes for different HLA-class I allelic families.

(A) Average number of predicted HLA class I epitopes by allele family and protein. The standard deviation resulting from all proteins is indicated as a single error bar. (B) Hierarchical clustering and associated heatmap indicating the degree of inter-f...

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Bibliographic Details
Main Author:	Anna Foix (12071983) (author)
Other Authors:	Daniel López (279575) (author), Francisco Díez-Fuertes (442408) (author), Michael J. McConnell (171959) (author), Antonio J. Martín-Galiano (8638689) (author)
Published:	2022
Subjects:	Medicine Genetics Molecular Biology Neuroscience Evolutionary Biology Ecology Immunology Infectious Diseases Plant Biology Computational Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified variants potentially affecting underscoring genetic variability never surpassed 15 netmhcipan el algorithm large recurrent deletions immunoinformatic information eases immune evasion due escape mutation events cases concerned isolates asian populations enriched alarming local outbreaks viral selective pressure viral mutational landscape susceptible alleles may 915 human alleles total ligand removal 71 families using potential hla class 2 </ p hla class viral mutations alleles according ligand core families co xlink "> terminal position term protection protective capacity primary infection presently unlikely mutations identified massive assessment increase covid findings indicate double mutations continental areas conservative substitutions computationally facilitated already occurred adaptive cytotoxic 2 proteome 2 ligands 19 susceptibility
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Number and degree of overlap between SARS-CoV-2 epitopes for different HLA-class I allelic families.

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