Understanding the mutational frequency in SARS-CoV-2 proteome using structural features
구조적 특징을 이용한 SARS-CoV-2 프로테옴의 돌연변이 빈도 이해
Article
[키워드] Accuracy
acute respiratory syndrome
acute respiratory syndrome coronavirus
acute respiratory syndrome coronavirus 2
Analysis
Cluster
collected
computational approach
coronavirus
COVID-19
develop
Early detection
feature
Features
Frequency
human population
machine
machine learning
machine learning model
machine learning models
mutability
mutated
Mutation
mutations
pandemic
physicochemical
predict
Protein
Protein mutability
proteome
provided
reduced
residue
SARS-CoV-2
SARS-CoV-2 proteins
SARS-CoV-2 proteome
SARS-CoV-2 sequence
SARS-CoV-2 sequences
Sequence conservation
severe acute respiratory syndrome Coronavirus
severity
stability
Structural analysis
survival
the SARS-CoV-2
threshold
Transmission
understanding
unique
variants
variants of concern
viral isolate
viral isolates
Viral protein
viral strains
virus
[DOI] 10.1016/j.compbiomed.2022.105708 PMC 바로가기 [Article Type] Article
[DOI] 10.1016/j.compbiomed.2022.105708 PMC 바로가기 [Article Type] Article