COVID-19 Coronavirus Vaccine Design Using Reverse Vaccinology and Machine Learning
역백신학 및 기계 학습을 사용한 COVID-19 코로나바이러스 백신 설계
Immunology
[키워드] adhesins
Analysis
antigenicity
applied
breath
Candidates
caused
clinical trial
complementary
Complete
conserved
contagious
contagious disease
coronavirus
coronavirus vaccine
COVID-19
COVID-19 pandemic
COVID-19 vaccine
COVID-19 vaccine development
develop
disease
effective
Epitopes
FIVE
Host
human coronavirus
immune responses
induce
infecting
Invasion
lack
linear B-cell epitope
linear B-cell epitopes
machine learning
membrane
MERS
MERS-CoV
MHC-I
MHC-II
mild symptoms
N protein
non-structural protein
non-structural protein 3
non-structural proteins
NSP
Nsp3
NSP8
nucleocapsid
predict
predicted
Protective
Protein
Proteins
proteome
reverse vaccinology
S protein
Safe
SARS-CoV
SARS-CoV-2
SARS-CoV-2 coronavirus
sequence
stimulate
structural protein
T-cell epitopes
target
tested
the S protein
the SARS-CoV-2
Vaccine
vaccine candidate
Vaccine development
vaxign
vaxign-ML
Viral
virus
was selected
[DOI] 10.3389/fimmu.2020.01581 PMC 바로가기 [Article Type] Immunology
[DOI] 10.3389/fimmu.2020.01581 PMC 바로가기 [Article Type] Immunology