Epistatic models predict mutable sites in SARS-CoV-2 proteins and epitopes
Epistatic 모델은 SARS-CoV-2 단백질 및 에피토프에서 돌연변이 부위를 예측합니다
530
[키워드] acute respiratory syndrome
acute respiratory syndrome coronavirus
acute respiratory syndrome coronavirus 2
Amino acid
anticipation
appearance
approach
assist
build
capture
characteristic
complex
concerning
coronavirus
COVID
data-driven models
database
databases
direct coupling analysis
domain
Efficacy
Efficiency
epistasis
epitope
exploration
identify
immune response
immunological
increasingly
measure
MOST
mutability
mutable
mutagenesis data
Mutation
mutations
observations
observé
other coronaviruses
outbreak
pandemic
pathogenicity
predict
predicted
prediction
predictor
profile
protein stability
receiver operating characteristic
Receptor binding domain
reduce
respiratory
resulting
SARS-CoV-2
SARS-CoV-2 protein
SARS-CoV-2 proteins
SARS-CoV-2 sequence
SARS-CoV-2 sequences
SARS-CoV-2 variants
sequence
severe acute respiratory syndrome Coronavirus
Significance
Spike protein
Spread
statistical model
tested
the spike protein
therapeutic interventions
Transmissibility
Vaccine
Variability
variant
variants
variants of concern
Viral
Viral diseases
viral evolution
viral outbreak
virus
[DOI] 10.1073/pnas.2113118119 PMC 바로가기 [Article Type] 530
[DOI] 10.1073/pnas.2113118119 PMC 바로가기 [Article Type] 530