Allium Sativum Bioactives Modulate AGE- RAGE Signalling Pathway to Attenuate Diabetic Microvascular Complications: An integrative computational Pharmacogenomics Approach
Food Bioscience,
Journal Year:
2025,
Volume and Issue:
unknown, P. 106165 - 106165
Published: Feb. 1, 2025
Language: Английский
A Narrative Pharmacological Review: Current Research Status of in vivo and in vitro Applications of Natural Spice Celery Seed
Hua Gao,
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Guoyue Lv,
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R Huang
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et al.
Natural Product Communications,
Journal Year:
2025,
Volume and Issue:
20(3)
Published: March 1, 2025
Celery
(
Apium
graveolens
L.
)
seeds,
derived
from
the
herbaceous
plant
of
Apiaceae
family,
are
valued
for
both
their
culinary
and
medicinal
applications.
These
seeds
utilized
as
a
flavoring
agent
in
various
cultures
also
employed
traditional
therapies
to
address
range
ailments.
Rich
trace
elements
petroselinic
acid,
celery
possess
significant
nutritional
value.
Additionally,
they
contain
variety
bioactive
compounds
demonstrate
broad
spectrum
pharmacological
activities.
Topically,
can
act
mosquito
repellent
antimicrobial
properties.
When
consumed
internally,
it
has
been
reported
have
effects
such
improving
reproductive
capacity,
hepatoprotection,
treatment
gout,
anticancer
activity,
antioxidant
properties,
anti-inflammatory
effects,
hypotensive
action,
hypolipidemic
neurodegenerative
diseases.
Furthermore,
numerous
animal
experiments
clinical
trials,
no
toxicity
observed.
This
comprehensive
review
explores
applications
biological
activities
associated
with
these
intriguing
natural
flavors,
aiming
delineate
potential
alternative
therapeutic
agents
dietary
supplements
health
promotion.
It
is
anticipated
that
this
information
will
serve
valuable
reference
future
development
utilization
seeds.
Language: Английский
Identification of potential FAK inhibitors using mol2vec molecular descriptor-based QSAR, molecular docking, ADMET study, and molecular dynamics simulation
Nguyễn Thu Hằng,
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Than Thi Kieu My,
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Le Thi Van Anh
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et al.
Molecular Diversity,
Journal Year:
2024,
Volume and Issue:
28(4), P. 2163 - 2175
Published: April 6, 2024
Language: Английский
Enhanced prediction of beta-secretase inhibitory compounds with mol2vec technique and machine learning algorithms
SAR and QSAR in environmental research,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 19
Published: Dec. 20, 2024
A
comprehensive
computational
strategy
that
combined
QSAR
modelling,
molecular
docking,
and
ADMET
analysis
was
used
to
discover
potential
inhibitors
for
β-secretase
1
(BACE-1).
dataset
of
1,138
compounds
with
established
BACE-1
inhibitory
activities
build
a
model
using
mol2vec
descriptors
support
vector
regression.
The
obtained
demonstrated
strong
predictive
performance
(training
set:
Language: Английский