Computers in Biology and Medicine,
Год журнала:
2024,
Номер
169, С. 107927 - 107927
Опубликована: Янв. 2, 2024
Antimicrobial
resistance
(AMR)
has
become
more
of
a
concern
in
recent
decades,
particularly
infections
associated
with
global
public
health
threats.
The
development
new
antibiotics
is
crucial
to
ensuring
infection
control
and
eradicating
AMR.
Although
drug
discovery
are
essential
processes
the
transformation
candidate
from
laboratory
bedside,
they
often
very
complicated,
expensive,
time-consuming.
pharmaceutical
sector
continuously
innovating
strategies
reduce
research
costs
accelerate
candidates.
Computer-aided
(CADD)
emerged
as
powerful
promising
technology
that
renews
hope
researchers
for
faster
identification,
design,
cheaper,
less
resource-intensive,
efficient
In
this
review,
we
discuss
an
overview
AMR,
potential,
limitations
CADD
AMR
discovery,
case
studies
successful
application
technique
rapid
identification
various
This
review
will
aid
achieving
better
understanding
available
techniques
novel
candidates
against
resistant
pathogens
other
infectious
agents.
Redox Biology,
Год журнала:
2024,
Номер
70, С. 103077 - 103077
Опубликована: Фев. 11, 2024
Inflammatory
diseases
present
a
serious
health
challenge
due
to
their
widespread
prevalence
and
the
severe
impact
on
patients'
lives.
In
quest
alleviate
burden
of
these
diseases,
nuclear
factor
erythroid
2-related
2
(Nrf2)
has
emerged
as
pivotal
player.
As
transcription
intimately
involved
in
cellular
defense
against
metabolic
oxidative
stress,
Nrf2's
role
modulating
inflammatory
responses
immune
cells
garnered
significant
attention.
Recent
findings
suggest
that
ability
alter
redox
status
underlies
its
regulatory
effects
responses.
Our
review
delves
into
preclinical
clinical
evidence
underscores
complex
influence
Nrf2
activators
cell
phenotypes,
particularly
milieu.
By
offering
detailed
analysis
different
populations,
we
cast
light
potential
shaping
response
towards
more
regulated
state,
mitigating
adverse
inflammation
through
modeling
cells.
Furthermore,
explore
innovative
use
nanoencapsulation
techniques
enhance
delivery
efficacy
activators,
potentially
advancing
treatment
strategies
for
ailments.
We
hope
this
will
stimulate
development
expansion
Nrf2-targeted
treatments
could
substantially
improve
outcomes
patients
suffering
from
broad
range
diseases.
Fundamental Research,
Год журнала:
2024,
Номер
unknown
Опубликована: Май 1, 2024
The
application
of
artificial
intelligence
(AI)
in
medicine,
particularly
through
machine
learning
(ML),
marked
a
significant
progression
drug
discovery.
AI
acts
as
powerful
catalyst
narrowing
the
gap
between
disease
understanding
and
identification
potential
therapeutic
agents.
This
review
provides
an
inclusive
summary
latest
advancements
its
We
examine
various
stages
discovery
process,
starting
from
encompassing
diagnosis,
target
identification,
screening,
lead
AI's
capability
to
analyze
extensive
datasets
discern
patterns
is
essential
these
stages,
enhancing
predictions
efficiencies
discovery,
clinical
trial
management.
role
expediting
development
emphasized,
highlighting
vast
data
volumes,
thus
reducing
time
costs
associated
with
new
market
introduction.
importance
quality,
algorithm
training,
ethical
considerations,
especially
patient
handling
during
trials,
addressed.
By
considering
factors,
promises
transform
development,
offering
benefits
patients
society.
Google
DeepMind
Technologies
Limited
(London,
United
Kingdom)
recently
released
its
new
version
of
the
biomolecular
structure
predictor
artificial
intelligence
(AI)
model
named
AlphaFold
3.
Superior
in
accuracy
and
more
powerful
than
predecessor
2,
this
innovation
has
astonished
world
with
capacity
speed.
It
takes
humans
years
to
determine
various
proteins
how
shape
works
receptors
but
3
predicts
same
seconds.
The
version's
utility
is
unimaginable
field
drug
discoveries,
vaccines,
enzymatic
processes,
determining
rate
effect
different
biological
processes.
uses
similar
machine
learning
deep
models
such
as
Gemini
(Google
Limited).
already
established
itself
a
turning
point
computational
biochemistry
development
along
receptor
modulation
development.
With
help
this,
researchers
will
gain
unparalleled
insights
into
structural
dynamics
their
interactions,
opening
up
avenues
for
scientists
doctors
exploit
benefit
patient.
integration
AI
like
3,
bolstered
by
rigorous
validation
against
high-standard
research
publications,
set
catalyze
further
innovations
offer
glimpse
future
biomedicine.
Computers in Biology and Medicine,
Год журнала:
2024,
Номер
169, С. 107927 - 107927
Опубликована: Янв. 2, 2024
Antimicrobial
resistance
(AMR)
has
become
more
of
a
concern
in
recent
decades,
particularly
infections
associated
with
global
public
health
threats.
The
development
new
antibiotics
is
crucial
to
ensuring
infection
control
and
eradicating
AMR.
Although
drug
discovery
are
essential
processes
the
transformation
candidate
from
laboratory
bedside,
they
often
very
complicated,
expensive,
time-consuming.
pharmaceutical
sector
continuously
innovating
strategies
reduce
research
costs
accelerate
candidates.
Computer-aided
(CADD)
emerged
as
powerful
promising
technology
that
renews
hope
researchers
for
faster
identification,
design,
cheaper,
less
resource-intensive,
efficient
In
this
review,
we
discuss
an
overview
AMR,
potential,
limitations
CADD
AMR
discovery,
case
studies
successful
application
technique
rapid
identification
various
This
review
will
aid
achieving
better
understanding
available
techniques
novel
candidates
against
resistant
pathogens
other
infectious
agents.
