Frontiers in Pharmacology,
Journal Year:
2023,
Volume and Issue:
14
Published: April 12, 2023
A
novel
coronavirus
strain
(COVID-19)
caused
severe
illness
and
mortality
worldwide
from
31
December
2019
to
21
March
2023.
As
of
this
writing,
761,071,826
million
cases
have
been
diagnosed
worldwide,
with
6,879,677
deaths
accorded
by
WHO
organization
has
spread
228
countries.
The
number
is
closely
connected
the
growth
innate
immune
cells
in
lungs,
mainly
macrophages,
which
generate
inflammatory
cytokines
(especially
IL-6
IL-1β)
that
induce
"cytokine
storm
syndrome"
(CSS),
multi-organ
failure,
death.
We
focus
on
promising
natural
products
their
biologically
active
chemical
constituents
as
potential
phytopharmaceuticals
target
virus-induced
pro-inflammatory
cytokines.
Successful
therapy
for
condition
currently
rare,
introduction
an
effective
vaccine
might
take
months.
Blocking
viral
entrance
replication
regulating
humoral
cellular
immunity
uninfected
population
are
most
often
employed
treatment
approaches
infections.
Unfortunately,
no
presently
FDA-approved
medicine
can
prevent
or
reduce
SARS-CoV-2
access
reproduction.
Until
now,
important
element
disease
severity
host's
response
activation
suppression.
Several
medicines
adapted
COVID-19
patients,
including
arbidol,
favipiravir,
ribavirin,
lopinavir,
ritonavir,
hydroxychloroquine,
chloroquine,
dexamethasone,
anti-inflammatory
pharmaceutical
drugs,
such
tocilizumab,
glucocorticoids,
anakinra
(IL-1β
cytokine
inhibition),
siltuximab
(IL-6
inhibition).
However,
these
synthetic
medications
therapies
several
side
effects,
heart
permanent
retinal
damage
case
hydroxyl-chloroquine,
liver
destruction
remdesivir.
This
review
summarizes
four
strategies
fighting
storms
immunomodulatory
deficiency
induced
using
product
a
therapeutic
measure
control
storms.
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(16), P. 8792 - 8792
Published: Aug. 13, 2024
Phytochemicals
have
a
long
and
successful
history
in
drug
discovery.
With
recent
advancements
analytical
techniques
methodologies,
discovering
bioactive
leads
from
natural
compounds
has
become
easier.
Computational
like
molecular
docking,
QSAR
modelling
machine
learning,
network
pharmacology
are
among
the
most
promising
new
tools
that
allow
researchers
to
make
predictions
concerning
products’
potential
targets,
thereby
guiding
experimental
validation
efforts.
Additionally,
approaches
LC-MS
or
LC-NMR
speed
up
compound
identification
by
streamlining
processes.
Integrating
structural
computational
biology
aids
lead
identification,
thus
providing
invaluable
information
understand
how
phytochemicals
interact
with
targets
body.
An
emerging
approach
is
learning
involving
deep
neural
networks
interrelate
phytochemical
properties
diverse
physiological
activities
such
as
antimicrobial
anticancer
effects.
Phytochemicals
have
a
long
and
successful
history
in
drug
discovery.
With
recent
advancements
analytical
techniques
methodologies,
discovering
bioactive
leads
from
natural
compounds
has
become
easier.
Computational
like
molecular
docking,
QSAR
modelling
machine
learning,
network
pharmacology
are
among
the
most
promising
new
tools
that
allow
researchers
to
make
predictions
concerning
products'
potential
targets,
thereby
guiding
experimental
validation
efforts.
Additionally,
approaches
LC-MS
or
LC-NMR
speed
up
compound
identification
by
streamlining
processes.
Integrating
structural
computational
biology
aids
lead
identification,
thus
providing
invaluable
information
understand
how
phytochemicals
interact
with
targets
body.
Emerging
approach
is
learning
involving
deep
neural
networks
interrelate
phytochemical
properties
diverse
physiological
activities
such
as
antimicrobial
anticancer
effects.
BMC Complementary Medicine and Therapies,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: Jan. 30, 2025
The
spreading
of
COVID-19
has
posed
a
risk
to
global
health,
especially
for
lung
cancer
patients.
An
investigation
is
needed
overcome
the
challenges
pathophysiology
and
disease.
This
study
was
designed
evaluate
phytoconstituents
in
Punica
granatum
peel
(PGP),
its
anti-lung
activity,
silico
evaluation
antiviral
potential.
GC–MS
technique
used
detect
phytoconstituents.
Cytotoxicity
analyzed
using
MTT
dye,
followed
by
apoptosis,
ROS
generation,
cell
cycle
phase
detection
human
cells
(A549).
glide
module
Maestro
software
investigate
molecular-docking
interaction
constituents
against
main
protease
(Mpro)
papain-like
(PLpro)
SARS-CoV-2.
GROMACS
2023.2
utilized
complex
stability.
A
total
nineteen
phytocomponents
were
detected
PGP
extract
through
analysis.
shown
potential
reduce
proliferation
while
evading
normal
death.
induced
apoptosis
arresting
G0/G1
generating
ROS.
six
eight
had
high
affinity
PLpro
Mpro
proteins,
respectively.
top
docked
complex,
ethyl
5-oxo-2-pyrrolidinecarboxylate,
with
showed
likely
stable
throughout
100
ns
simulation.
finding
raises
possibility
top-eight
hits
(docking
score
≥
-1.0
kcal/mol)
preventing
SARS-CoV-2
severity.
exhibited
orally
active
drugs
no
more
than
one
violation
drug-likeness
activity.
are
suggested
be
dual
agents
pathogenesis.
Cureus,
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 16, 2024
Aim
The
aim
of
this
study
is
to
examine
the
possible
therapeutic
effect
pterostilbene
(PTS),
a
chemical
present
in
grapes
and
blueberries,
treatment
liver
cancer
by
analysing
its
interactions
with
important
proteins
linked
wingless/integrated
(Wnt)
signaling
system.
Objective
Using
computational
techniques
like
molecular
docking
absorption,
distribution,
metabolism,
excretion
(ADME)
studies,
research
focuses
on
examining
pharmacokinetics
PTS
such
as
vimentin
(Vim),
glycogen
synthase
kinase
3
beta
(GSK3-β),
epithelial
cadherin
(E-cadherin),
interleukin-6
(IL-6),
interleukin-1
(IL-1β),
c-Jun
N-terminal
(JNK),
Wnt,
all
which
are
connected
Wnt
pathway
cancer.
Methods
includes
synthesis
ligands,
ADME
investigations
for
PTS,
AutoDock
Vina
simulations
evaluate
binding
affinities
interactions.
obtained
from
PubChem,
while
protein
structures
Protein
Data
Bank.
Results
Strong
between
essential
cascade
shown
docking,
also
highlights
noteworthy
hydrogen
bonds,
hydrophobic
interactions,
electrostatic
contacts.
According
an
study,
has
advantageous
pharmacokinetic
properties,
moderate
solubility,
membrane
permeability,
minimal
chance
drug
Conclusion
extensive
PTS's
potential
viable
option
promotes
investigation
cutting-edge
therapy
approaches
urges
more
into
mechanisms,
underpinning
anticancer
properties.
This
paper
sheds
light
role
natural
chemicals
emphasizes
need
methods
discovery.
Phytochemicals
have
a
long
and
successful
history
in
drug
discovery.
With
recent
advancements
analytical
techniques
methodologies,
discovering
bioactive
leads
from
natural
compounds
has
become
easier.
Computational
like
molecular
docking,
QSAR
modelling
machine
learning,
network
pharmacology
are
among
the
most
promising
new
tools
that
allow
researchers
to
make
predictions
concerning
products'
potential
targets,
thereby
guiding
experimental
validation
efforts.
Additionally,
approaches
LC-MS
or
LC-NMR
speed
up
compound
identification
by
streamlining
processes.
Integrating
structural
computational
biology
aids
lead
identification,
thus
providing
invaluable
information
understand
how
phytochemicals
interact
with
targets
body.
Emerging
approach
is
learning
involving
deep
neural
networks
interrelate
phytochemical
properties
diverse
physiological
activities
such
as
antimicrobial
anticancer
effects.
Current Issues in Molecular Biology,
Journal Year:
2023,
Volume and Issue:
46(1), P. 221 - 243
Published: Dec. 28, 2023
Staphylococcus
and
Candida
are
recognized
as
causative
agents
in
numerous
diseases,
the
rise
of
multidrug-resistant
strains
emphasizes
need
to
explore
natural
sources,
such
fungi,
for
effective
antimicrobial
agents.
This
study
aims
assess
vitro
anti-staphylococcal
anti-candidal
potential
ethyl
acetate
extracts
from
various
soil-derived
fungal
isolates.
The
investigation
includes
isolating
identifying
well
determining
their
antioxidative
activities,
characterizing
phenolic
substances
through
HPLC
analysis,
conducting
silico
molecular
docking
assessments
phenolics’
binding
affinities
target
proteins,
aureus
tyrosyl-tRNA
synthetase
albicans
secreted
aspartic
protease
2.
Out
nine
species
tested,
two
highly
potent
isolates
were
identified
ITS
ribosomal
gene
sequencing:
Aspergillus
terreus
AUMC
15447
A.
nidulans
15444.
Results
indicated
that
15444
effectively
inhibited
S.
(concentration
range:
25–0.39
mg/mL),
with
extract
demonstrating
significant
suppression
spp.
3.125–0.39
mg/mL).
exhibited
an
IC50
0.47
mg/mL
toward
DPPH
radical-scavenging
activity.
analysis
extracts,
employing
18
standards,
revealed
varying
degrees
detected
phenolics
terms
presence
quantities.
Docking
investigations
highlighted
rutin
a
inhibitor,
showing
high
affinity
(−16.43
kcal/mol
−12.35
kcal/mol)
C.
2,
respectively.
findings
suggest
metabolites,
particularly
phenolics,
hold
promise
development
safe
medications
combat
pathogenic
infections.