Novel ACE2 protein interactions relevant to COVID-19 predicted by evolutionary rate correlations
Bioinformatics
[키워드] ACE2
ACE2 protein
ACE2 receptor
affecting
androgen
approach
bind
biological interaction
candidate
caused
cell receptor
Chronic illness
clusterin
Coagulation
coagulation pathways
coevolution
component
connection
contributing to
coronavirus
coronavirus SARS-CoV-2
correlated
correlation
COVID-19
cytokine signaling
Cytokine storms
detect
disease manifestation
enzyme
ERC
Evolution
Evolutionary inference
Evolutionary rate
Extracellular
factor V
FGA
FGB
FGG
fibrinogen
function
GPR141
human cells
identify
IFNAR2
immune response
Immunity
infect
Inflammatory response
information
interact
Interaction
interactions
involved
mammalian
mammalian protein
novel
organ systems
pandemic disease
pathogen
Pathologies
pathology
pathway
predict
predicted
Protein
protein interaction
Protein networks
Proteins
reported
Respiratory disease
SARS-COV-2 infection
severe COVID-19
suggestion
the disease
TLR8
Treatment
XCR1
[DOI] 10.7717/peerj.12159 PMC 바로가기 [Article Type] Bioinformatics
[DOI] 10.7717/peerj.12159 PMC 바로가기 [Article Type] Bioinformatics