Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Sept. 22, 2023
Abstract
Background:
Gastric
cancer
and
peptic
ulcers
can
both
be
caused
by
Helicobacter
pylori
(
H.
).
So
the
complexity
of
such
bacterium
made
it
difficult
to
develop
an
effective
treatment.
Thus,
a
computational
approach
developing
antigenicity,
stability,
safety
in
vaccines
against
this
pathogen
will
aid
management
related
diseases.
Methods:
This
investigation
chose
two
proteins,
SabA
BabA,
as
epitope
prediction
targets.
Therefore,
study
used
immunoinformatics
platform
create
subunit
vaccine
.
The
best
helper
T
lymphocytes
(HTLs)
along
with
cytotoxic
(CTLs)
epitopes
have
been
chosen
according
toxicity
allergenicity.
epitopes,
suitable
linkers,
well
adjuvants
were
combined
for
creating
final
design.
allergenicity,
physicochemical
traits
assessed.
Results:
vaccine’s
3D
structure
has
anticipated.
Molecular
docking
analysis
molecular
dynamics
(MD)
simulation
performed
on
multi-epitope
vaccine.
candidate
was
silico
cloned
pET28a
(+)
vector.
Conclusion:
results
showed
that
design
would
work
prophylactic
versus
To
evaluate
efficacy
aforementioned
bacteria,
vivo
vitro
trials
are
required.
Frontiers in Immunology,
Journal Year:
2023,
Volume and Issue:
14
Published: Sept. 11, 2023
Crimean-Congo
hemorrhagic
fever
(CCHF)
is
the
most
prevalent
tick-borne
viral
disease
affecting
humans.
The
life-threatening
in
many
regions
of
developing
world,
including
Africa,
Asia,
Middle
East,
and
Southern
Europe.
In
line
with
rapidly
increasing
prevalence,
various
vaccine
strategies
are
under
development.
Despite
a
large
number
potential
candidates,
there
no
approved
vaccines
as
yet.
This
paper
presents
detailed
comparative
analysis
current
efforts
to
develop
against
CCHFV,
limitations
associated
efforts,
future
research
directions.
Frontiers in Molecular Biosciences,
Journal Year:
2023,
Volume and Issue:
10
Published: Feb. 14, 2023
Introduction:Klebsiella
pneumoniae
(K.
pneumoniae)
and
Pseudomonas
aeruginosa
(P.
aeruginosa)
are
the
most
common
Gram-negative
bacteria
associated
with
pneumonia
coinfecting
same
patient.
Despite
their
high
virulence,
there
is
no
effective
vaccine
against
them.
Methods:
In
current
study,
screening
of
several
proteins
from
both
pathogens
highlighted
FepA
OmpK35
for
K.
in
addition
to
HasR
OprF
P.
as
promising
candidates
epitope
mapping.
Those
four
were
linked
form
a
multitope
vaccine,
that
was
formulated
suitable
adjuvant,
PADRE
peptides
finalize
construct.
The
final
vaccine's
physicochemical
features,
antigenicity,
toxicity,
allergenicity,
solubility
evaluated
use
humans.
Results:
output
computational
analysis
revealed
designed
construct
has
passed
these
assessments
satisfactory
scores
where,
last
stage,
we
performed
molecular
docking
study
between
potential
immune
receptors,
TLR4
TLR2,
showing
affinitive
targets
preferentiality
receptor
protein.
Validation
studies
proceeded
through
dynamics
simulation,
which
estimated
strong
binding
supported
nomination
putative
solution
coinfection.
Here,
describe
approach
design
assessment
our
vaccine.
Gut Microbes,
Journal Year:
2024,
Volume and Issue:
16(1)
Published: June 2, 2024
The
emergence
of
antimicrobial
resistance
(AMR)
is
a
principal
global
health
crisis
projected
to
cause
10
million
deaths
annually
worldwide
by
2050.
While
the
Gram-negative
bacteria
Briefings in Bioinformatics,
Journal Year:
2024,
Volume and Issue:
25(5)
Published: July 25, 2024
Abstract
Pseudomonas
aeruginosa
is
a
complex
nosocomial
infectious
agent
responsible
for
numerous
illnesses,
with
its
growing
resistance
variations
complicating
treatment
development.
Studies
have
emphasized
the
importance
of
virulence
factors
OprE
and
OprF
in
pathogenesis,
highlighting
their
potential
as
vaccine
candidates.
In
this
study,
B-cell,
MHC-I,
MHC-II
epitopes
were
identified,
molecular
linkers
active
to
join
these
an
appropriate
adjuvant
construct
vaccine.
Computational
tools
employed
forecast
tertiary
framework,
characteristics,
also
confirm
vaccine’s
composition.
The
potency
was
weighed
through
population
coverage
analysis
immune
simulation.
This
project
aims
create
multi-epitope
reduce
P.
aeruginosa–related
illness
mortality
using
immunoinformatics
resources.
ultimate
has
been
determined
be
stable,
soluble,
antigenic,
non-allergenic
upon
inspection
physicochemical
immunological
properties.
Additionally,
protein
exhibited
acidic
hydrophilic
characteristics.
Ramachandran
plot,
ProSA-web,
ERRAT,
Verify3D
ensure
final
model’s
authenticity
once
protein’s
three-dimensional
structure
had
established
refined.
model
showed
significant
binding
score
stability
when
interacting
MHC
receptors.
Population
indicated
global
rate
83.40%,
USA
having
highest
rate,
exceeding
90%.
Moreover,
sequence
underwent
codon
optimization
before
being
cloned
into
Escherichia
coli
plasmid
vector
pET-28a
(+)
at
EcoRI
EcoRV
restriction
sites.
Our
research
developed
against
that
strong
affinity
worldwide
coverage,
offering
acceptable
way
mitigate
infections.
Bioinformatics and Biology Insights,
Journal Year:
2025,
Volume and Issue:
19
Published: March 1, 2025
Shigellosis
remains
a
major
global
health
concern,
particularly
in
regions
with
poor
sanitation
and
limited
access
to
clean
water.
This
study
used
immunoinformatics
reverse
vaccinology
design
potential
mRNA
vaccine
targeting
Shigella
pathotypes
out
of
4071
proteins
from
sonnei
str.
Ss046,
4
key
antigenic
candidates
were
identified:
putative
outer
membrane
protein
(Q3YZL0),
PapC-like
porin
(Q3YZM5),
fimbrial-like
(Q3Z3I2),
lipopolysaccharide
(LPS)-assembly
LptD
(Q3Z5V5),
ensuring
broad
pathotype
coverage.
A
multitope
was
designed
incorporating
cytotoxic
T
lymphocyte,
helper
B-cell
epitopes,
linked
suitable
linkers
adjuvants
enhance
immunogenicity.
Computational
analyses
predicted
vaccine's
favorable
antigenicity,
solubility,
stability,
while
molecular
docking
dynamic
simulations
demonstrated
strong
binding
affinity
stability
Toll-like
receptor
(TLR-4),
indicating
for
robust
immune
activation.
Immune
humoral
cellular
responses,
characterized
by
significant
cytokine
production
long-term
memory.
Structural
evaluations
the
complex,
including
radius
gyration,
root
mean
square
deviation,
fluctuation,
solvent
accessibility,
confirmed
structural
integrity,
under
physiological
conditions.
research
contributes
ongoing
effort
alleviate
burden
infections,
providing
foundation
future
wet
laboratory
investigations
aimed
at
development.
Journal of Immunology Research,
Journal Year:
2023,
Volume and Issue:
2023, P. 1 - 14
Published: Feb. 22, 2023
Although
the
monkeypox
virus-associated
illness
was
previously
confined
to
Africa,
recently,
it
has
started
spread
across
globe
and
become
a
significant
threat
human
lives.
Hence,
this
study
designed
identify
B
T
cell
epitopes
develop
an
epitope-based
peptide
vaccine
against
virus's
surface
binding
protein
through
in
silico
approach
combat
monkeypox-associated
diseases.The
analysis
revealed
that
of
virus
contains
30
19
within
given
parameter.
Among
epitopes,
epitope
"ILFLMSQRY"
found
be
one
most
potential
candidates.
The
docking
excellent
affinity
with
receptor
HLA-B∗15:01
very
low
energy
(-7.5
kcal/mol).The
outcome
research
will
aid
development
vaccine,
discovered
facilitate
creation
other
multi-epitope-based
vaccines
future.
This
also
serve
as
basis
for
further
vitro
vivo
is
effective
virus.
Frontiers in Immunology,
Journal Year:
2022,
Volume and Issue:
13
Published: July 15, 2022
Marburg
virus
(MARV)
is
one
of
the
most
harmful
zoonotic
viruses
with
deadly
effects
on
both
humans
and
nonhuman
primates.
Because
its
severe
outbreaks
a
high
rate
fatality,
world
health
organization
put
it
as
risk
group
4
pathogen
focused
urgent
need
for
development
effective
solutions
against
that
virus.
However,
up
to
date,
there
no
vaccine
MARV
in
market.
In
current
study,
complete
proteome
(seven
proteins)
was
analyzed
antigenicity
score
virulence
or
physiological
role
each
protein
where
we
nominated
envelope
glycoprotein
(Gp),
Transcriptional
activator
(VP30),
membrane-associated
(VP24)
candidates
epitope
prediction.
Following
that,
construct
designed
based
CTL,
HTL,
BCL
epitopes
selected
finalize
construct,
several
amino
acid
linkers,
β-defensin
adjuvant,
PADRE
peptides
were
incorporated.
The
generated
potential
assessed
computationally
properties
such
antigenicity,
allergenicity,
stability,
other
structural
features
outcomes
these
assessments
this
be
validated
binding
affinity
two
molecular
targets
TLR-8
TLR-4.
stability
vaccine-receptor
complex,
which
deeply
studied
through
docking-coupled
dynamics
simulation,
supported
selection
our
putative
solution
should
future
wet-lab
experiments.
Here,
describe
computational
approach
designing
analysis
vaccine.
Frontiers in Genetics,
Journal Year:
2022,
Volume and Issue:
13
Published: Aug. 16, 2022
The
NRAS
gene
is
a
well-known
oncogene
that
acts
as
major
player
in
carcinogenesis.
Mutations
the
have
been
linked
to
multiple
types
of
human
tumors.
Therefore,
identification
most
deleterious
single
nucleotide
polymorphisms
(SNPs)
necessary
understand
key
factors
tumor
pathogenesis
and
therapy.
We
aimed
retrieve
missense
SNPs
analyze
them
comprehensively
using
sequence
structure
approaches
determine
could
increase
risk
also
adopted
structural
biology
methods
docking
tools
investigate
behavior
filtered
SNPs.
After
retrieving
analyzing
six
silico
tools,
17
mutations
were
found
be
.
All
except
S145L
decrease
stability,
all
on
highly
conserved
residues
important
functional
domains,
R164C.
In
addition,
G60E
showed
higher
binding
affinity
GTP,
implicating
an
malignancy
tendency.
As
consequence,
other
14
expected
carcinogenesis,
with
5
(G13R,
G13C,
G13V,
P34R,
V152F)
highest
risk.
Thermodynamic
stability
was
ensured
for
these
SNP
models
through
molecular
dynamics
simulation
based
trajectory
analysis.
Free
toward
natural
substrate,
compared
native
protein.
Gly13
proteins
depict
differential
conformational
state
favor
exchange
catalytic
potentiality.
A
further
application
experimental
reveal
new
insights
into
management
different
Frontiers in Immunology,
Journal Year:
2022,
Volume and Issue:
13
Published: Dec. 9, 2022
Background
A
deep
understanding
of
the
causes
liability
to
SARS-CoV-2
is
essential
develop
new
diagnostic
tests
and
therapeutics
against
this
serious
virus
in
order
overcome
pandemic
completely.
In
light
discovered
role
antimicrobial
peptides
[such
as
human
b-defensin-2
(hBD-2)
cathelicidin
LL-37]
defense
SARS-CoV-2,
it
became
important
identify
damaging
missense
mutations
genes
these
molecules
study
their
pathogenesis
COVID-19.
Methods
We
conducted
a
comprehensive
analysis
with
multiple
silico
approaches
SNPs
for
hBD-2
LL-37;
moreover,
we
applied
docking
methods
molecular
dynamics
impact
filtered
mutations.
Results
The
reveals
presence
three
hBD-2;
were
predicted
decrease
stability
on
structure
well.
G51D
C53G
located
highly
conserved
positions
associated
differences
secondary
structures
hBD-2.
Docking-coupled
simulation
revealed
compromised
binding
affinity
towards
spike
domain.
Different
protein–protein
profiles
SNPs,
relation
native
form,
guided
through
residue-wise
levels
differential
adopted
conformation/orientation.
Conclusions
presented
model
paves
way
identifying
patients
prone
COVID-19
that
would
guide
personalization
both
management
protocols
disease.