Pharmacophore modeling and QSAR analysis of anti-HBV flavonols
PLoS ONE,
Год журнала:
2025,
Номер
20(1), С. e0316765 - e0316765
Опубликована: Янв. 13, 2025
Due
to
its
global
burden,
Targeting
Hepatitis
B
virus
(HBV)
infection
in
humans
is
crucial.
Herbal
medicine
has
long
been
significant,
with
flavonoids
demonstrating
promising
results.
Hence,
the
present
study
aimed
establish
a
way
of
identifying
anti-HBV
activities.
Flavonoid
structures
activities
were
retrieved.
A
flavonol-based
pharmacophore
model
was
established
using
LigandScout
v4.4.
Screening
performed
PharmIt
server.
QSAR
equation
developed
and
validated
independent
sets
compounds.
The
applicability
domain
(AD)
defined
Euclidean
distance
calculations
for
validation.
best
model,
consisting
57
features,
generated.
High-throughput
screening
(HTS)
resulted
509
unique
hits.
model's
accuracy
further
set
FDA-approved
chemicals,
sensitivity
71%
specificity
100%.
Additionally,
two
predictors,
x4a
qed,
exhibited
predictive
solid
performance
an
adjusted-R2
value
0.85
0.90
Q2.
PCA
showed
essential
patterns
relationships
within
dataset,
first
components
explaining
nearly
98%
total
variance.
Current
HBV
therapies
tend
fail
provide
complete
cure,
emphasizing
need
new
therapies.
This
study's
importance
highlight
flavonols
as
potential
medicines,
presenting
supplementary
option
existing
therapy.
separate
chemical
sets,
guaranteeing
reproducibility
usefulness
other
by
utilizing
characteristics
X4A
qed.
These
results
possibilities
discovering
future
drugs
integrating
modeling
experimental
research.
Язык: Английский
The dynamic States of Hepatitis B virus Capsid Monomers under the Impact of Different Class of Capsid-Assembly Modulators
Research Square (Research Square),
Год журнала:
2025,
Номер
unknown
Опубликована: Март 20, 2025
Abstract
Hepatitis
B
virus
(HBV)
remains
a
global
health
challenge.
Capsid
assembly
modulators
(CAMs)
represent
promising
class
of
antiviral
agents
that
disrupt
HBV
core
protein
(HBc)
function.
Understanding
the
structural
and
dynamic
impact
CAMs
on
HBc
is
crucial
for
development
next-generation
therapies.
This
study
employed
molecular
dynamics
(MD)
simulations
to
evaluate
conformational
behavior
monomers
in
unbound
ligand-bound
states.
Different
classes
CAMs—Heteroaryldihydropyrimidine
(HAP),
Sulfamoylbenzamide
(SBA),
Ciclopirox—were
analyzed
assess
their
stability,
flexibility,
interaction
energy.
RMSD
analysis
revealed
HAP
binding
stabilized
HBc,
reducing
backbone
fluctuations,
whereas
SBA
PPA
increased
flexibility.
RMSF
calculations
demonstrated
CAM
interactions
influenced
loop
terminal
region
dynamics.
PCA
suggested
ligand-specific
alterations
HBc’s
essential
motions,
with
inducing
highest
variance.
Salt
bridge
indicated
Ciclopirox
formed
strongest
electrostatic
interactions,
stabilizing
its
binding.
DSSP
secondary
structure
showed
disrupted
α-helical
content,
exhibiting
most
pronounced
rearrangements.
provides
novel
insights
into
CAM-induced
changes
HBc.
While
stabilizes
protein,
increase
potentially
leading
misassembled
or
destabilized
capsids.
These
findings
contribute
rational
design
CAM-based
therapies
highlight
key
determinants
future
drug
optimization.
Язык: Английский
Potential Benefits of In Silico Methods: A Promising Alternative in Natural Compound’s Drug Discovery and Repurposing for HBV Therapy
Pharmaceuticals,
Год журнала:
2025,
Номер
18(3), С. 419 - 419
Опубликована: Март 16, 2025
Hepatitis
B
virus
(HBV)
is
an
important
global
public
health
issue.
The
World
Health
Organization
(WHO)
2024
Global
Report
estimated
that
the
prevalence
of
people
living
with
HBV
infection
254
million,
incidence
1.2
million
new
infections
yearly.
Previous
studies
have
shown
natural
compounds
antiviral
inhibition
potentials.
In
silico
methods
such
as
molecular
docking,
virtual
screening,
pharmacophore
modeling,
quantitative
structure–activity
relationship
(QSAR),
and
dynamic
simulations
been
successfully
applied
in
identifying
bioactive
strong
binding
energies
treatment
targets.
COVID-19
pandemic
necessitated
importance
repurposing
already
approved
drugs
using
methods.
This
study
aimed
at
unveiling
benefits
techniques
a
potential
alternative
compounds’
drug
discovery
for
therapy.
Relevant
articles
from
PubMed,
Google
Scholar,
Web
Science
were
retrieved
analyzed.
Furthermore,
this
comprehensively
reviewed
literature
containing
identified
essential
proteins.
Notably,
hesperidin,
quercetin,
kaempferol,
myricetin,
flavonoids
hepatitis
surface
antigen
(HBsAg).
investigation
reveals
offer
understanding
mechanisms
action,
reveal
previously
overlooked
viral
targets
(including
PreS1
Domain
HBsAg
cccDNA
(Covalently
Closed
Circular
DNA)
regulators,
facilitate
creation
specific
inhibitors.
integration
silico,
vitro,
vivo
insights
further
highlight
Moreover,
combination
compounds,
approach,
improves
chances
personalized
precision
medicine
treatment.
Therefore,
we
recommend
strategies
combine
vivo,
approaches
to
effective
drugs.
Язык: Английский
Facile Synthesis and Applications of Flavonoid-Heterocyclic Derivatives
Current Topics in Medicinal Chemistry,
Год журнала:
2024,
Номер
25(1), С. 47 - 62
Опубликована: Июнь 19, 2024
Flavonoids
belong
to
the
polyphenol
group
that
naturally
exists
in
fruits,
vegetables,
tea,
and
grains.
Flavonoids,
as
secondary
metabolites,
show
indispensable
contributions
biological
processes
responses
of
plants
numerous
environmental
factors.
The
bioactivity
flavonoids
depends
on
C6-C3-C6
ring
substitution
patterns
exhibit
bioactive
antioxidant,
antimicrobial,
antifungal,
antitumor,
anti-inflammatory
properties.
synthesis
has
been
reported
by
various
methodologies.
Therefore,
present
review
systematically
summarizes
recent
heterocyclic
flavonoid
derivatives
via
facile
synthetic
approaches
since
research
is
useful
for
therapeutic
biotechnology
fields.
Язык: Английский
Ligand-based pharmacophore modeling, virtual screening, and 2D quantitative structure-activity relationship performance on anti-Hepatitis B virus flavonols
Опубликована: Март 28, 2024
Background:
Targeting
Hepatitis
B
virus
(HBV)
infection
in
human
is
crucial
due
to
its
adverse.
Herbal
medicine
has
long
been
significant
this
regard,
with
flavonoids
demonstrating
promising
results.
Hence,
establishing
a
way
of
identifying
anti-HBV
activities
the
aim
present
study.
Methods:
Flavonoid
structures
were
retrieved.
A
flavonol-based
pharmacophore
model
was
established
using
LigandScout
v4.4.
Screening
performed
PharmIt
server.
QSAR
equation
developed
and
validated
independent
sets
compounds.
Applicability
domain
(AD)
defined
Euclidean
distance
calculations
for
validation.
Results:
The
best
model,
consisting
57
features
generated.
HTS
resulted
509
unique
hits.
model's
sensitivity
specificity
71%
100%,
respectively.
two
predictors,
x4a
qed,
exhibited
strong
predictive
performance
an
adjusted-R²
value
0.85
0.90
Q2.
Conclusion:
separate
chemical
sets,
guaranteeing
reproducibility
usefulness
other
flavonols
by
utilizing
characteristics
X4A
qed.
These
results
provide
new
possibilities
discovering
future
drugs
integrating
modeling
experimental
research.
Язык: Английский
Mechanistic insights of the anti-ageing dietary plant secondary metabolites vis-à-vis the modern hallmarks of ageing: implications for developing novel anti-ageing foods
Translational Medicine of Aging,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 1, 2024
Язык: Английский
Integrated study of Quercetin as a potent SARS-CoV-2 RdRp inhibitor: Binding interactions, MD simulations, and In vitro assays
PLoS ONE,
Год журнала:
2024,
Номер
19(12), С. e0312866 - e0312866
Опубликована: Дек. 3, 2024
To
find
an
effective
inhibitor
for
SARS-CoV-2,
Quercetin’s
chemical
structure
was
compared
to
nine
ligands
associated
with
key
SARS-CoV-2
proteins.
It
found
that
Quercetin
closely
resembles
Remdesivir,
the
co-crystallized
ligand
of
RNA-dependent
RNA
polymerase
(RdRp).
This
similarity
confirmed
through
flexible
alignment
experiments
and
molecular
docking
studies,
which
showed
both
Remdesivir
bind
similarly
active
site
RdRp.
Molecular
dynamics
(MD)
simulations
over
a
200
ns
trajectory,
analyzing
various
factors
like
RMSD,
RG,
RMSF,
SASA,
hydrogen
bonding
were
conducted.
These
gave
detailed
insights
into
binding
interactions
RdRp
Remdesivir.
Further
analyses,
including
MM-GBSA,
Protein-Ligand
Interaction
Fingerprints
(ProLIF)
Profile
PLIP
stability
binding.
Principal
component
analysis
trajectories
(PCAT)
provided
coordinated
movements
within
systems
studied.
In
vitro
assays
is
highly
in
inhibiting
RdRp,
IC
50
122.1
±5.46
nM,
better
than
Remdesivir’s
21.62
±2.81
μM.
Moreover,
greater
efficacy
against
,
1.149
μg/ml
9.54
μg/ml.
The
selectivity
index
(SI)
values
highlighted
safety
margin
(SI:
791)
6).
conclusion,
our
comprehensive
study
suggests
promising
candidate
further
research
as
providing
valuable
developing
anti-COVID-19
treatment.
Язык: Английский