Pharmacological Research,
Год журнала:
2022,
Номер
177, С. 106076 - 106076
Опубликована: Янв. 21, 2022
Drug
discovery
from
natural
sources
is
going
through
a
renaissance,
having
spent
many
decades
in
the
shadow
of
synthetic
molecule
drug
discovery,
despite
fact
that
product-derived
compounds
occupy
much
greater
chemical
space
than
those
created
chemistry
methods.
With
this
new
era
comes
possibilities,
not
least
novel
targets
have
emerged
recent
times
and
development
state-of-the-art
technologies
can
be
applied
to
sources.
Although
progress
has
been
made
with
some
immunomodulating
drugs,
there
remains
pressing
need
for
agents
used
treat
wide
variety
conditions
arise
disruption,
or
over-activation,
immune
system;
products
may
therefore
key
filling
gap.
Recognising
that,
at
present,
no
authoritative
article
details
current
immunomodulatory
activity
products,
in-depth
review
arisen
joint
effort
between
International
Union
Basic
Clinical
Pharmacology
(IUPHAR)
Natural
Products
Immunopharmacology
Sections,
contributions
number
world-leading
researchers
field
product
provide
"position
statement"
on
what
offer
search
argents.
To
end,
we
historical
look
previous
discoveries
naturally
occurring
immunomodulators,
present
picture
status
insight
into
future
opportunities
challenges
drugs
immune-related
diseases.
Evidence-based Complementary and Alternative Medicine,
Год журнала:
2020,
Номер
2020(1)
Опубликована: Янв. 1, 2020
Human
diseases,
especially
infectious
ones,
have
been
evolving
constantly.
However,
their
treatment
strategies
are
not
developing
quickly.
Some
diseases
caused
by
a
variety
of
factors
with
very
complex
pathologies,
and
the
use
single
drug
cannot
solve
these
problems.
Traditional
Chinese
Medicine
(TCM)
medication
is
unique
method
in
China.
TCM
formulae
contain
multiple
herbs
multitarget,
multichannel,
multilink
characteristics.
In
recent
years,
flourishing
development
network
pharmacology,
new
for
searching
therapeutic
drugs
has
emerged.
The
multitarget
action
pharmacology
consistent
mechanisms
disease
action.
Using
to
understand
an
emerging
trend.
Pharmaceuticals,
Год журнала:
2022,
Номер
15(5), С. 572 - 572
Опубликована: Май 4, 2022
Natural
products
have
played
a
critical
role
in
medicine
due
to
their
ability
bind
and
modulate
cellular
targets
involved
disease.
Medicinal
plants
hold
variety
of
bioactive
scaffolds
for
the
treatment
multiple
disorders.
The
less
adverse
effects,
affordability,
easy
accessibility
highlight
potential
traditional
remedies.
Identifying
pharmacological
from
active
ingredients
medicinal
has
become
hot
topic
biomedical
research
generate
innovative
therapies.
By
developing
an
unprecedented
opportunity
systematic
investigation
medicines,
network
pharmacology
is
evolving
as
paradigm
becoming
frontier
field
drug
discovery
development.
advancement
opened
up
new
avenues
understanding
complex
components
found
various
plants.
This
study
attributed
comprehensive
summary
based
on
current
research,
highlighting
ingredients,
related
techniques/tools/databases,
development
applications.
Moreover,
this
would
serve
protocol
discovering
novel
compounds
explore
full
range
biological
traditionally
used
We
attempted
cover
vast
review
form.
hope
it
will
significant
pioneer
researchers
working
with
by
employing
approaches.
Biomolecules,
Год журнала:
2019,
Номер
9(8), С. 362 - 362
Опубликована: Авг. 13, 2019
Natural
products,
including
traditional
herbal
medicine
(THM),
are
known
to
exert
their
therapeutic
effects
by
acting
on
multiple
targets,
so
researchers
have
employed
network
pharmacology
methods
decipher
the
potential
mechanisms
of
THM.
To
conduct
THM-network
(THM-NP)
studies,
different
tools
and
databases
for
constructing
analyzing
herb–compound–target
networks.
In
this
study,
we
attempted
capture
methodological
trends
in
THM-NP
research.
We
identified
studies
visualized
combinatorial
patterns.
also
constructed
co-author
affiliation
networks
further
understand
how
methodologies
among
researchers.
The
results
showed
that
number
databases/tools
been
dramatically
increased
last
decade,
there
characteristic
patterns
combining
each
analysis
step
studies.
Overall,
Traditional
Chinese
Medicine
Systems
Pharmacology
Database
Analysis
Platform
(TCMSP)
was
most
frequently
database
Among
processes
involved
research,
methodology
a
compound–target
has
shown
greatest
change
over
time.
summary,
our
describes
comprehensive
current
ideas
research
design
Briefings in Bioinformatics,
Год журнала:
2023,
Номер
24(3)
Опубликована: Апрель 6, 2023
Abstract
Network
pharmacology
is
an
emerging
area
of
systematic
drug
research
that
attempts
to
understand
actions
and
interactions
with
multiple
targets.
has
changed
the
paradigm
from
‘one-target
one-drug’
highly
potent
‘multi-target
drug’.
Despite
that,
this
synergistic
approach
currently
facing
many
challenges
particularly
mining
effective
information
such
as
targets,
mechanism
action,
organism
interaction
massive,
heterogeneous
data.
To
overcome
bottlenecks
in
multi-target
discovery,
computational
algorithms
are
welcomed
by
scientific
community.
Machine
learning
(ML)
especially
its
subfield
deep
(DL)
have
seen
impressive
advances.
Techniques
developed
within
these
fields
now
able
analyze
learn
huge
amounts
data
disparate
formats.
In
terms
network
pharmacology,
ML
can
improve
discovery
decision
making
big
Opportunities
apply
occur
all
stages
research.
Examples
include
screening
biologically
active
small
molecules,
target
identification,
metabolic
pathways
protein–protein
analysis,
hub
gene
analysis
finding
binding
affinity
between
compounds
proteins.
This
review
summarizes
premier
algorithmic
concepts
forecasts
future
opportunities,
potential
applications
well
several
remaining
implementing
pharmacology.
our
knowledge,
study
provides
first
comprehensive
assessment
approaches
we
hope
it
encourages
additional
efforts
toward
development
acceptance
pharmaceutical
industry.
Phytomedicine,
Год журнала:
2023,
Номер
111, С. 154658 - 154658
Опубликована: Янв. 12, 2023
Wumei
Wan
(WMW)
has
been
used
to
address
digestive
disorder
for
centuries
in
traditional
Chinese
medicine.
Previous
studies
have
demonstrated
its
anti-colitis
efficacy,
but
the
underlying
mechanism
of
action
remains
be
further
clarified.To
investigate
mechanisms
WMW
treatment
chronic
ulcerative
colitis
(UC)
through
network
pharmacology
and
experimental
validation.Traditional
Medicine
Systems
Pharmacology
(TCMSP)
platform
were
identify
ingredients
potential
targets
WMW.
The
microarray
gene
data
GSE75214
datasets
from
GEO
database
was
define
UC-associated
targets.
Cytoscape3.7.2
employed
construct
protein-protein
interaction
(PPI)
compounds-disease
network.
GO
enrichment
analysis
KEGG
pathway
performed
by
R
software
functional
annotation.
UPLC-TOF-MS/MS
method
quantitatively
analyze
active
For
validation,
three
cycles
2%
dextran
sulfate
sodium
salt
(DSS)
model.
hub
signal
detected
qPCR,
ELISA,
western
blotting
,
immunohistochemical
immunofluorescence.Through
analysis,
104
obtained
WMW,
47
these
had
UC.
A
total
41
13
identified.
showed
that
involved
advanced
glycation
end
products-receptor
products
(AGE-RAGE)
signaling
pathway.
Taxifolin,
rutaecarpine,
kaempferol,
quercetin,
luteolin
more
highly
predictive
components
related
AGE-RAGE
In
vivo
improved
DSS-induced
colitis,
reduced
expression
inflammatory
cytokines
chemokines.
Notably,
it
significantly
decreased
mRNA
Spp1,
Serpine1,
Mmp2,
Mmp9,
Ptgs2,
Nos2,
Kdr
Icam1,
which
associated
with
angiogenesis.
addition,
we
confirmed
inhibited
RAGE
diminished
epithelial
barrier
alterations
CONCLUSION:
Our
results
initially
effective
strong
anti-angiogenic
activity
colitis.
Sufficient
evidence
satisfactory
verified
this
study,
suggesting
as
a
quite
prospective
agent
therapy
