Stability of Envelope Proteins of SARS-CoV-2 Variants Could Be a Choice of New Drug Target
International Journal of experimental research and review,
Год журнала:
2024,
Номер
42, С. 111 - 119
Опубликована: Авг. 30, 2024
Severe
Acute
Respiratory
Syndrome
Coronavirus-2
(SARS-CoV-2)
has
emerged
as
one
of
the
worst
viral
pandemics
during
past
few
years.
As
reported
by
World
Health
Organization,
around
77,56
49
520
cases
and
70
51
720
deaths
were
from
all
over
world,
which
includes
approximately
3500
patients
recent
only.
Currently,
circulating
variants
SARS-CoV-2
are
KP.3,
JN.1,
BA.2.86
KP.2.
Mass
vaccinations
have
been
provided
since
end
December
2020,
led
to
5.47
billion
people
vaccinated
till
date.
However,
disease
continues
in
small
foci
world.
Development
an
effective
drug
target
mutation
independent
vaccine
thus
becomes
essential
research
priorities.
Owing
unavailability
a
specific
molecule,
present
study
focused
on
development
treat
COVID-19.
In-house
primers
designed
for
four
structural
genes
viz.,
Spike
protein,
ORF1ab,
Nucleocapsid
gene,
Envelope
gene.
Samples
different
waves
amplified
using
these
employing
Polymerase
Chain
Reaction
(PCR)
assay.
A
total
number
86
RT
PCR
positive
samples
studied,
results
showed
most
frequent
appearance
(80.2%)
(E)
protein
samples.
This
suggests
that
transmission
across
numbers
human
hosts,
it
is
was
stable
one.
The
severe
Delta
variant
presence
E
proteins
assayed.
Blocking
new
intervene
intracellular
replication
virus
could
be
strategy.
Язык: Английский
Computational Thinking Processes in Solving the Corona Epidemic Model: Pre-service Maths Teachers
International Journal of experimental research and review,
Год журнала:
2024,
Номер
43, С. 56 - 70
Опубликована: Сен. 30, 2024
In
the
21st
century,
pre-service
mathematics
teachers
are
expected
to
have
problem-solving
skills
that
effective,
efficient,
and
solutive
in
line
with
mindset
of
computer
experts.
learning
mathematics,
concept
computational
thinking
(CT)
is
also
needed
at
this
time,
many
still
difficulty
solving
mathematical
problems
general,
especially
epidemic
models.
The
subjects
study
were
twenty-seven
teacher
students
who
took
modeling
courses.
researcher
used
purposive
sampling
technique
select
two
research
samples.
method
was
a
descriptive
qualitative
exploring
process
problem
spread
disease.
results
showed
first
subject
began
identifying
existing
information
by
writing
down
data
form
graph
so
as
get
certain
pattern,
which
then
basis
for
transforming
into
language.
By
adding
assumptions
related
existence
environmental
limitations
next
model,
differential
equations,
there
integral
properties
natural
logarithms,
can
be
find
solution
model.
second
unable
solve
hand.
discovered
correctly
solved
model
CT
components,
namely
decomposition,
abstraction,
pattern
recognition,
algorithm
literacy.
Язык: Английский