Military Medical Research,
Год журнала:
2024,
Номер
11(1)
Опубликована: Янв. 23, 2024
Abstract
Antimicrobial
resistance
is
a
global
public
health
threat,
and
the
World
Health
Organization
(WHO)
has
announced
priority
list
of
most
threatening
pathogens
against
which
novel
antibiotics
need
to
be
developed.
The
discovery
introduction
are
time-consuming
expensive.
According
WHO’s
report
antibacterial
agents
in
clinical
development,
only
18
have
been
approved
since
2014.
Therefore,
critically
needed.
Artificial
intelligence
(AI)
rapidly
applied
drug
development
its
recent
technical
breakthrough
dramatically
improved
efficiency
antibiotics.
Here,
we
first
summarized
recently
marketed
antibiotics,
antibiotic
candidates
development.
In
addition,
systematically
reviewed
involvement
AI
utilization,
including
small
molecules,
antimicrobial
peptides,
phage
therapy,
essential
oils,
as
well
mechanism
prediction,
stewardship.
Journal of the American Chemical Society,
Год журнала:
2023,
Номер
145(47), С. 25705 - 25715
Опубликована: Ноя. 16, 2023
The
ever-increasing
threats
of
multidrug-resistant
bacteria
and
their
biofilm-associated
infections
have
bred
a
desperate
demand
for
alternative
remedies
to
combat
them.
Near-infrared
(NIR)-absorbing
photothermal
agent
(PTAs)-mediated
therapy
(PTT)
is
particularly
attractive
biofilm
ablation
thanks
its
superiorities
noninvasive
intervention,
satisfactory
antibacterial
efficiency,
less
likelihood
develop
resistance.
Herein,
three
butterfly-shaped
aggregation-induced
emission
luminogens
(AIEgens)
with
balanced
nonradiative
decay
(for
conducting
PTT)
radiative
supplying
fluorescence
in
the
NIR-II
optical
window)
are
rationally
designed
imaging-assisted
obliteration
bacterial
biofilms.
After
being
encapsulated
into
cationic
liposomes,
AIEgens-fabricated
nanoparticles
can
eradicate
wide
spectrum
biofilms
formed
by
Gram-positive
(methicillin-resistant
Staphylococcus
aureus
Enterococcus
faecalis)
Gram-negative
(Escherichia
coli
Pseudomonas
aeruginosa)
upon
an
808
nm
laser
irradiation.
In
vivo
experiments
firmly
demonstrate
that
AIE
liposomes
excellent
biocompatibility
perform
well
both
P.
aeruginosa
biofilm-induced
keratitis
mouse
model
MSRA
skin
infection
model.
Abstract
Motivation
The
emergence
of
drug-resistant
bacteria
makes
the
discovery
new
antibiotics
an
urgent
issue,
but
finding
molecules
with
desired
antibacterial
activity
is
extremely
difficult
task.
To
address
this
challenge,
we
established
a
framework,
MDAGS
(Molecular
Design
via
Attribute-Guided
Search),
to
optimize
and
generate
potent
antibiotic
molecules.
Results
By
designing
latent
space
guiding
optimization
functional
compounds
based
on
space,
model
can
novel
desirable
without
need
for
extensive
expensive
time-consuming
evaluations.
Compared
existing
antibiotics,
candidate
generated
by
always
possessed
significantly
better
ensured
high
similarity.
Furthermore,
although
explicit
constraints
similarity
known
these
all
exhibited
highest
structural
expected
function
in
DrugBank
database
query.
Overall,
our
approach
provides
viable
solution
problem
bacterial
drug
resistance.
Availability
implementation
Code
datasets
be
downloaded
from
GitHub
(https://github.com/LiangYu-Xidian/MDAGS).
Supplementary
information
data
are
available
at
Bioinformatics
online.
Metabolites,
Год журнала:
2023,
Номер
13(5), С. 625 - 625
Опубликована: Май 2, 2023
Due
to
the
continued
emergence
of
resistance
and
a
lack
new
promising
antibiotics,
bacterial
infection
has
become
major
public
threat.
High-throughput
screening
(HTS)
allows
rapid
large
collection
molecules
for
bioactivity
testing
holds
promise
in
antibacterial
drug
discovery.
More
than
50%
antibiotics
that
are
currently
available
on
market
derived
from
natural
products.
However,
with
easily
discoverable
being
found,
finding
sources
seen
limited
success.
Finding
activity
also
proven
be
challenging.
In
addition
exploring
products
synthetic
biology,
omics
technology
helped
study
biosynthetic
machinery
existing
enabling
construction
unnatural
synthesizers
bioactive
identification
molecular
targets
agents.
On
other
hand,
newer
smarter
strategies
have
been
continuously
pursued
screen
molecule
libraries
druggable
targets.
Biomimetic
conditions
explored
mimic
real
model
better
ligand–target
interaction
enable
designing
more
effective
drugs.
This
narrative
review
describes
various
traditional
contemporaneous
approaches
high-throughput
It
further
discusses
critical
factors
HTS
assay
design,
makes
general
recommendation,
possible
alternatives
Nature Communications,
Год журнала:
2024,
Номер
15(1)
Опубликована: Фев. 3, 2024
Abstract
The
reaction
system
of
hydrogen
peroxide
(H
2
O
)
catalyzed
by
nanozyme
has
a
broad
prospect
in
antibacterial
treatment.
However,
the
complex
catalytic
activities
nanozymes
lead
to
multiple
pathways
reacting
parallel,
causing
uncertain
results.
New
approach
effectively
regulate
is
urgent
need.
Herein,
Cu
single
site
modified
on
nanoceria
with
various
activities,
such
as
peroxidase-like
activity
(POD)
and
hydroxyl
radical
antioxidant
capacity
(HORAC).
Benefiting
from
interaction
between
coordinated
CeO
substrate,
POD
enhanced
while
HORAC
inhibited,
which
further
confirmed
density
functional
theory
(DFT)
calculations.
Cu-CeO
+
H
shows
good
properties
both
vitro
vivo.
In
this
work,
strategy
based
metal
carrier
provides
general
clue
for
optimizing
nanozymes.
Military Medical Research,
Год журнала:
2024,
Номер
11(1)
Опубликована: Янв. 23, 2024
Abstract
Antimicrobial
resistance
is
a
global
public
health
threat,
and
the
World
Health
Organization
(WHO)
has
announced
priority
list
of
most
threatening
pathogens
against
which
novel
antibiotics
need
to
be
developed.
The
discovery
introduction
are
time-consuming
expensive.
According
WHO’s
report
antibacterial
agents
in
clinical
development,
only
18
have
been
approved
since
2014.
Therefore,
critically
needed.
Artificial
intelligence
(AI)
rapidly
applied
drug
development
its
recent
technical
breakthrough
dramatically
improved
efficiency
antibiotics.
Here,
we
first
summarized
recently
marketed
antibiotics,
antibiotic
candidates
development.
In
addition,
systematically
reviewed
involvement
AI
utilization,
including
small
molecules,
antimicrobial
peptides,
phage
therapy,
essential
oils,
as
well
mechanism
prediction,
stewardship.