Deep Learning in Drug Repurposing: A Review of the CoV-DrugX Module within the CoV-DrugX Pipeline
Agrima Chopra,
Apurva Rustagi,
Sumit Tanwar
и другие.
Опубликована: Апрель 11, 2024
A
comprehensive
overview
of
the
integration
deep
learning
techniques
in
drug
repurposing,
particularly
focusing
on
CoV-DrugX
module
within
Pipeline.
The
paper
highlights
significance
repurposing
accelerating
treatment
discovery,
especially
context
COVID-19
pandemic.
It
discusses
emergence
methods,
such
as
recurrent
neural
networks
(RNNs),
graph
convolutional
(GCNs),
and
long
short-term
memory
(LSTM)
networks,
predicting
drug-target
interactions
identifying
repurposable
drugs.
review
emphasizes
role
extracting
informative
features,
improving
enhancing
repositioning,
handling
large-scale
data
effectively.
Additionally,
it
explores
applications
advantages
showcasing
its
potential
to
revolutionize
field
by
complex
relationships
from
extensive
datasets.
abstract
sets
stage
for
a
detailed
examination
DrugX
module's
capabilities
Pipeline,
shedding
light
contributions
discovery
efforts,
fight
against
COVID-19.
Язык: Английский
Anti-Wrinkle Natural Cosmeceuticals
Advances in chemical and materials engineering book series,
Год журнала:
2024,
Номер
unknown, С. 299 - 334
Опубликована: Окт. 25, 2024
The
increasing
demand
for
youthful,
radiant
skin
has
driven
the
skincare
industry
to
innovate,
particularly
through
development
of
natural
cosmeceuticals.
This
chapter
explains
efficacy
these
products,
focusing
on
their
capacity
reduce
wrinkles—a
primary
sign
aging.
authors
examine
clinical
trials
and
case
studies
understand
cellular
molecular
mechanisms
by
which
ingredients
contribute
health
anti-wrinkle
effects.
Additionally,
address
challenges
related
stability
compatibility
in
formulations,
alongside
alignment
with
consumer
preferences
market
trends.
concludes
assessing
potential
benefits
cosmeceuticals
antiaging
treatments
identifying
key
areas
future
research.
goal
presented
is
advance
science
pragmatically
leveraging
research
enhance
product
development.
Язык: Английский
Utilizing machine learning algorithms in computer science for drug repurposing
International Journal of Engineering in Computer Science,
Год журнала:
2021,
Номер
3(2), С. 41 - 43
Опубликована: Июль 1, 2021
This
research
article
explores
the
application
of
machine
learning
(ML)
algorithms
in
computer
science
for
drug
repurposing.
The
study
involves
using
various
ML
techniques
to
analyze
pharmaceutical
data
and
identify
potential
new
uses
existing
drugs.
aim
is
demonstrate
efficacy
uncovering
hidden
correlations
predicting
drug-target
interactions,
which
can
significantly
streamline
repurposing
process.
Язык: Английский