Predicted impact of the viral mutational landscape on the cytotoxic response against SARS-CoV-2
SARS-COV-2에 대한 세포 독성 반응에 대한 바이러스 돌연변이 풍경의 영향 예측 된 영향
Research Article
Published on
Journal: PLoS Computational Biology [Category] COVID19(2023년), Fulltext, MERS, SARS, 변종,
Journal: PLoS Computational Biology [Category] COVID19(2023년), Fulltext, MERS, SARS, 변종,
[키워드] accumulation
adaptive
affected
affecting
Algorithm
allele
Allele families
allele family
alleles
antibodies
Asian
Author
C-terminal
change
changes in
Cluster
complexity
country
COVID-19 susceptibility
Critical
Cytotoxic T cell
deletions
eight
epitope
Epitopes
escape
escape mutation
event
except for
extreme
facilitated
genetic background
genetic variability
genetics
Genome
genomic
HLA class I
human allele
human population
humans
immune evasion
immune response
independent
information
integration
involved
isolate
isolates
Ligand
ligands
local outbreaks
Mutation
mutations
NCBI
Neutralizing
occurred
pandemic
Pandemics
Population
predicted
Prevent
Primary infection
Protective
proteome
protocol
reduction
Region
SARS-CoV-2
SARS-COV-2 infection
SARS-CoV-2 proteome
selective
subpopulations
Substitution
Support
surpassed
Surveillance
susceptible
T cell
T cell response
the SARS-CoV-2
unlikely
Variability
variant
variants
Viral
viral genome
viral genomes
viral mutation
Viral mutations
viral variant
virus
[DOI] 10.1371/journal.pcbi.1009726 PMC 바로가기 [Article Type] Research Article
[DOI] 10.1371/journal.pcbi.1009726 PMC 바로가기 [Article Type] Research Article