Forecasting Covid-19 Dynamics in Brazil: A Data Driven Approach
International Journal of Environmental Research and Public Health,
Год журнала:
2020,
Номер
17(14), С. 5115 - 5115
Опубликована: Июль 15, 2020
The
contribution
of
this
paper
is
twofold.
First,
a
new
data
driven
approach
for
predicting
the
Covid-19
pandemic
dynamics
introduced.
second
consists
in
reporting
and
discussing
results
that
were
obtained
with
Brazilian
states,
predictions
starting
as
4
May
2020.
As
preliminary
study,
we
first
used
an
Long
Short
Term
Memory
Data
Training-SAE
(LSTM-SAE)
network
model.
Although
led
to
somewhat
disappointing
results,
it
served
good
baseline
testing
other
ANN
types.
Subsequently,
order
identify
relevant
countries
regions
be
training
models,
conduct
clustering
world’s
where
at
advanced
stage.
This
based
on
manually
engineered
features
representing
country’s
response
early
spread
pandemic,
different
clusters
are
select
models.
final
models
retained
Modified
Auto-Encoder
networks,
trained
these
learn
predict
future
states.
These
estimate
important
statistics
about
disease,
such
peaks
number
confirmed
cases.
Finally,
curve
fitting
carried
out
find
distribution
best
fits
outputs
MAE,
refine
estimates
pandemic.
Predicted
numbers
reach
total
more
than
one
million
infected
Brazilians,
distributed
among
São
Paulo
leading
150
thousand
cases
predicted.
indicate
still
growing
Brazil,
most
states
infection
estimated
half
end
pandemics
(97%
reaching
outcome)
between
June
August
2020,
depending
Язык: Английский
Computational Analysis of Targeting SARS-CoV-2, Viral Entry Proteins ACE2 and TMPRSS2, and Interferon Genes by Host MicroRNAs
Genes,
Год журнала:
2020,
Номер
11(11), С. 1354 - 1354
Опубликована: Ноя. 16, 2020
Rapid
spread
of
severe
acute
respiratory
syndrome
coronavirus
2
(SARS-CoV-2),
the
virus
responsible
for
disease
2019
(COVID-19),
has
led
to
a
global
pandemic,
failures
local
health
care
systems,
and
economic
recession.
MicroRNAs
(miRNAs)
have
recently
emerged
as
important
regulators
viral
pathogenesis,
particularly
among
RNA
viruses,
but
impact
host
miRNAs
on
SARS-CoV-2
infectivity
remains
unknown.
In
this
study,
we
utilize
combination
powerful
bioinformatic
prediction
algorithms
miRNA
profiling
predict
endogenous
that
may
play
roles
in
regulating
infectivity.
We
provide
collection
high-probability
binding
sites
within
genome
well
mRNA
transcripts
critical
entry
proteins
ACE2
TMPRSS2
their
upstream
modulators,
interferons
(IFN).
By
utilizing
datasets
SARS-CoV-2-resistant
-susceptible
cell
lines,
verify
biological
plausibility
predicted
miRNA–target
interactions.
Finally,
SARS-CoV-2-infected
cells
identify
are
differentially
regulated
infected
cells.
particular,
binders
ORFs
(miR-23a
(1ab),
miR-29a,
-29c
(1ab,
N),
miR-151a,
-151b
(S),
miR-4707-3p
miR-298
(5′-UTR),
miR-7851-3p
miR-8075
(5′-UTR)),
3′-UTR
(miR-9-5p,
miR-218-5p),
(let-7d-5p,
-7e-5p,
miR-494-3p,
miR-382-3p,
miR-181c-5p),
IFN-α
(miR-361-5p,
miR-410-3p).
Overall,
study
provides
insight
into
potential
novel
regulatory
mechanisms
by
lays
foundation
future
investigation
these
therapeutic
targets
or
biomarkers.
Язык: Английский
In Silico and In Vitro Analyses Validate Human MicroRNAs Targeting the SARS-CoV-2 3′-UTR
International Journal of Molecular Sciences,
Год журнала:
2021,
Номер
22(11), С. 6094 - 6094
Опубликована: Июнь 5, 2021
COVID-19
pandemic
is
caused
by
betacoronavirus
SARS-CoV-2.
The
genome
of
this
virus
composed
a
single
strand
RNA
with
5'
and
3'-UTR
flanking
region
protein-coding
ORFs
closely
resembling
cells'
mRNAs.
MicroRNAs
are
endogenous
post-transcriptional
regulators
that
target
mRNA
to
modulate
protein
expression
mediate
cellular
functions,
including
antiviral
defense.
In
the
present
study,
we
carried
out
bioinformatics
screening
search
for
human
microRNAs
targeting
Results
from
computational
techniques
allowed
us
identify
10
potential
candidates.
capacity
3
them,
together
hsa-miR-138-5p,
SARS-CoV-2
was
validated
in
vitro
gene
reporter
assays.
Available
information
indicates
two
these
microRNAs,
namely,
hsa-miR-3941
combine
effective
complementary
or
protective
effects
host
cells
make
them
candidates
therapeutic
treatment
most,
if
not
all,
variants
known
date.
All
obtained
while
conducting
analysis
available
at
Open
Science
Framework
repository.
Язык: Английский
Overview of the role and action mechanism of microRNA-128 in viral infections
Microbial Pathogenesis,
Год журнала:
2023,
Номер
176, С. 106020 - 106020
Опубликована: Фев. 4, 2023
Язык: Английский
Trends and impacts of SARS-CoV-2 genome sharing: a comparative analysis of China and the global community, 2020–2023
Frontiers in Public Health,
Год журнала:
2024,
Номер
12
Опубликована: Ноя. 20, 2024
The
global
sharing
of
pathogen
genome
sequences
has
been
significantly
expedited
by
the
COVID-19
pandemic.
This
study
aims
to
elucidate
landscape
SARS-CoV-2
between
2020
and
2023
with
a
focus
on
quantity,
timeliness,
quality.
Specifically,
characteristics
China
are
examined.
Язык: Английский
Battle for supremacy: nucleic acid interactions between viruses and cells
Journal of Clinical Investigation,
Год журнала:
2020,
Номер
131(3)
Опубликована: Дек. 8, 2020
Since
the
COVID-19
pandemic
swept
across
globe,
researchers
have
been
trying
to
understand
its
origin,
life
cycle,
and
pathogenesis.
There
is
a
striking
variability
in
phenotypic
response
infection
with
SARS-CoV-2
that
may
reflect
differences
host
genetics
and/or
immune
response.
It
known
human
epigenome
influenced
by
ethnicity,
age,
lifestyle,
environmental
factors,
including
previous
viral
infections.
This
Review
examines
influence
of
viruses
on
epigenome.
We
describe
general
lessons
methodologies
can
be
used
how
virus
evades
consider
variation
contribute
heterogeneity
identify
precision
medicine
approach
treatment.
Язык: Английский
Mutational heterogeneity in spike glycoproteins of severe acute respiratory syndrome coronavirus 2
3 Biotech,
Год журнала:
2021,
Номер
11(5)
Опубликована: Апрель 25, 2021
Язык: Английский
The Concept of “Virus” Is the Same as Exosomal miRNA Gene
Опубликована: Янв. 1, 2023
Virus
is
not
the
Latin
word
for
"virus,"
which
means
simply
slimy
liquid
or
poison.
In
early
twentieth
century,
viruses
were
referred
to
as
infectious
and
filterable
pathogens.
However,
that
just
RNA
information
within
exosomes
be
able
move
in
twenty-first
century.
Even
if
viral
genome
DNA,
a
so-called
DNA
virus,
transcript
absolutely
required
production
of
proteins
emergence
virulence.
Viral
can
processed
into
microRNAs
(miRNAs).
Therefore,
are
similar
their
genes
akin
miRNAs
terms
genetic
information.
future,
discussed
Chap.
8
,
then-used
term
"virus"
may
disappear
carriers
miRNAs.
this
chapter,
because
produce
miRNAs,
"miRNA-like
RNA"
was
used.
Again,
from
produced.
Everyone
knows
that.
miRNA
entangling
target
sorting
(METS)/miRNA
quantum
language
artificial
intelligence
(MIRAI)
gave
answer.
Язык: Английский