Eurosurveillance,
Journal Year:
2022,
Volume and Issue:
27(13)
Published: March 31, 2022
Preview
this
article:
Letter
to
the
editor:
Epidemiology
of
SARS-CoV-2
variant
Omicron
BA.2
–
vigilance
needed,
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1
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International Journal of Infectious Diseases,
Journal Year:
2023,
Volume and Issue:
134, P. 78 - 87
Published: Feb. 1, 2023
The
Omicron
BA.2
variant
is
probably
the
main
epidemic
strain
worldwide
at
present.
Comparing
epidemiological
characteristics,
transmissibility,
and
influencing
factors
of
SARS-CoV-2,
results
obtained
in
this
paper
will
help
to
provide
theoretical
support
for
disease
control.This
study
was
a
historical
information
analysis,
using
R
programming
language
SPSS
24.0
statistical
analysis.
Geoda
Arc
GIS
were
used
spatial
autocorrelation
analysis.Local
autocorrelations
incidence
rate
observed
Delta
BA.1
outbreaks,
whereas
outbreaks
showed
random
distribution
rate.
time-dependent
reproduction
number
Delta,
BA.1,
3.21,
4.29,
2.96,
respectively,
correspondingly,
mean
serial
interval
4.29
days
(95%
confidence
[CI]:
0.37-8.21),
3.84
CI:
0-8.37),
2.77
0-5.83).
asymptomatic
infection
cases
21.71%,
6.25%,
4.35%,
respectively.The
had
greatest
interval,
transmission
speed,
followed
by
then
Delta.
Compared
with
variants,
may
be
less
pathogenic
more
difficult
control
than
Virus Evolution,
Journal Year:
2025,
Volume and Issue:
11(1)
Published: Jan. 1, 2025
The
fast
evolution
of
SARS-CoV-2
and
other
infectious
viruses
poses
a
grand
challenge
to
the
rapid
response
in
terms
viral
tracking,
diagnostics,
design
manufacture
monoclonal
antibodies
(mAbs)
vaccines,
which
are
both
time-consuming
costly.
This
underscores
need
for
efficient
computational
approaches.
Recent
advancements,
like
topological
deep
learning
(TDL),
have
introduced
powerful
tools
forecasting
emerging
dominant
variants,
yet
they
require
mutational
scanning
(DMS)
surface
proteins
associated
three-dimensional
(3D)
protein-protein
interaction
(PPI)
complex
structures.
We
propose
an
AlphaFold
3
(AF3)-assisted
multi-task
Laplacian
(MT-TopLap)
strategy
address
this
need.
MT-TopLap
combines
with
TDA
models,
such
as
persistent
Laplacians
(PL)
extract
detailed
geometric
characteristics
PPIs,
thereby
enhancing
prediction
DMS
binding
free
energy
(BFE)
changes
upon
virus
mutations.
Validation
four
experimental
datasets
spike
receptor-binding
domain
(RBD)
human
angiotensin-converting
enzyme-2
(ACE2)
complexes
indicates
that
our
AF3-assisted
maintains
robust
performance,
only
average
1.1%
decrease
Pearson
correlation
coefficients
(PCC)
9.3%
increase
root
mean
square
errors
(RMSE),
compared
use
Additionally,
achieved
PCC
0.81
when
tested
HK.3
variant
dataset,
confirming
its
capability
accurately
predict
BFE
adapt
new
data,
showcasing
potential
effective
evolution.
Molecules,
Journal Year:
2025,
Volume and Issue:
30(2), P. 351 - 351
Published: Jan. 16, 2025
The
three-year
COVID-19
pandemic
‘has’
caused
a
wide
range
of
medical,
social,
political,
and
financial
implications.
Since
the
end
2020,
various
mutations
variations
in
SARS-CoV-2
strains,
along
with
immune
escape
phenomenon,
have
emerged.
There
is
an
urgent
need
to
identify
relatively
stable
target
for
development
universal
vaccines
drugs
that
can
effectively
combat
both
strains
their
mutants.
Currently,
main
focus
treating
lies
disrupting
virus’s
life
cycle.
protease
(Mpro)
closely
associated
virus
replication
maturation
plays
crucial
role
early
stages
infection.
Consequently,
it
has
become
important
SARS-CoV-2-specific
drugs.
This
review
summarizes
recent
research
progress
on
novel
coronavirus’s
proteases,
including
pivotal
Mpro
cycle,
structure
catalytic
mechanism
Mpro,
self-maturation
escape,
current
methods
developing
antiviral
targeting
key
successfully
entered
clinical
trials.
aim
provide
researchers
involved
systematic
comprehensive
information.
Eurosurveillance,
Journal Year:
2022,
Volume and Issue:
27(13)
Published: March 31, 2022
Preview
this
article:
Letter
to
the
editor:
Epidemiology
of
SARS-CoV-2
variant
Omicron
BA.2
–
vigilance
needed,
Page
1
<
Previous
page
|
Next
>
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