Medicinal
plants
have
been
a
cornerstone
of
traditional
medicine
systems
for
centuries,
offering
vast
array
bioactive
compounds
with
therapeutic
potential.
However,
the
identification,
characterization,
and
elucidation
pharmacological
properties
these
often
challenging
due
to
their
complex
chemical
composition
diverse
biological
activities.
Bioinformatics,
its
interdisciplinary
approach
combining
biology,
computer
science,
information
technology,
presents
powerful
toolkit
systematic
study
medicinal
plants.
This
review
provides
an
overview
bioinformatics
methodologies
resources
that
can
facilitate
phytochemical
analysis,
investigation,
conservation
It
highlights
integration
omics
technologies,
computational
algorithms,
database
resources,
molecular
modeling
techniques
in
advancing
our
understanding
plants'
potential
applications
drug
discovery
development.
Current Research in Food Science,
Год журнала:
2024,
Номер
9, С. 100819 - 100819
Опубликована: Янв. 1, 2024
Edible
wild
mushrooms
are
one
of
the
popular
ingredients
due
to
their
high
quality
and
unique
flavor
nutrients.
To
gain
insight
into
effect
drying
temperature
on
its
composition,
86
Boletus
bainiugan
were
divided
5
groups
dried
at
different
temperatures.
Headspace
solid-phase
microextraction-gas
chromatography-mass
spectrometry
(HS-SPME-GC-MS)
was
used
for
identification
volatile
organic
compounds
(VOCs)
bainiugan.
The
21
differential
VOCs
that
distinguish
temperatures
identified.
65
°C
retained
more
VOCs.
There
differences
in
types
content
temperatures,
proteins,
polysaccharides,
crude
fibers,
fats.
Fourier
transform
near-infrared
(FT-NIR)
spectroscopy,
infrared
(FTIR)
two-dimensional
correlation
spectroscopy
(2DCOS)
images
successfully
characterized
chemical
composition
Partial
least
squares
discriminant
analysis
(PLS-DA)
verified
variability
with
coefficient
determination
(R2)
=
0.95
predictive
performance
(Q2)
0.75
92.31%
accuracy.
Next,
provides
a
fast
efficient
assessment
nutrients
(proteins,
fats).
Natural Product Communications,
Год журнала:
2025,
Номер
20(1)
Опубликована: Янв. 1, 2025
In
the
absence
of
vaccines,
chemotherapy
remains
a
viable
alternative
for
control
African
trypanosomiasis.
To
facilitate
eradication
trypanosomiasis,
there
is
need
to
pay
attention
chemotherapeutic
potential
secondary
metabolites
obtained
from
natural
sources.
Despite
increasing
level
paid
towards
pharmacological
and
medicinal
properties
trypanocidal
molecular
prototypes
plants,
integrative
synthesis
research
methods
relevant
this
progress
lacking.
Furthermore,
applications
machine
learning
in
discovery
plant-derived
antitrypanosomal
have
not
been
well
explored.
The
aim
study
thus
provide
critical
appraisal
plant
context
made,
as
highlight
standard
emerging
investigative
tools
applicable
drug
process.
It
explores
phytochemical,
antitrypanosomals
light
traditional
approaches.
vitro,
silico,
vivo
strategies
investigations
that
may
be
employed
are
highlighted.
Finally,
promising
particular
benefit
future
also
discussed.
These
insights
ultimately
optimization,
target
identification
clinical
development
process
against
ACS Omega,
Год журнала:
2025,
Номер
10(7), С. 7242 - 7255
Опубликована: Фев. 11, 2025
Panax
notoginseng
(P.
notoginseng)
is
a
traditional
medicinal
plant
with
high
and
economic
values.
The
authenticity
of
P.
often
determines
its
quality,
the
quality
geographical
indication
(GI)-producing
areas
usually
superior
to
that
other
producing
areas,
which
are
exploited
by
unscrupulous
traders
affect
market
order.
aim
this
study
was
characterize
identify
geographic
origin
using
Fourier
transform
near-infrared
(FT-NIR)
spectroscopy,
rapid
detection
combined
multivariate
analysis.
use
principal
component
analysis
correlation
spectral
enabled
initial
differential
characterization
identification
from
different
production
areas.
Then,
random
forest
(RF)
support
vector
machine
(SVM)
models
were
established,
results
show
showed
second-order
derivative
preprocessing
successive
projection
algorithm
feature
extraction
achieved
100%
classification
correctness
model
training
time
shortest.
Further
constructing
image
recognition
model,
synchronous
two-dimensional
spectroscopy
(2DCOS)
residual
convolutional
neural
network
accurate
(accuracy
100%)
did
not
require
complex
artificial
process,
maximize
avoidance
errors
caused
human
factors.
externally
validated
set
method
has
strong
generalization
ability
potential
for
application
in
