Electrochemical‐Genetic Programming of Protein‐Based Magnetic Soft Robots for Active Drug Delivery
Hang Zhao,
Bo Yu,
Dingyi Yu
и другие.
Advanced Science,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 29, 2025
Abstract
Magnetic
soft
robots
have
the
potential
to
revolutionize
field
of
drug
delivery
owing
their
capability
execute
tasks
in
hard‐to‐reach
regions
living
organisms.
Advancing
functionality
perform
active
and
related
necessitates
innovation
smart
substrate
materials
that
satisfy
both
mechanical
biocompatibility
requirements
while
offering
stimuli‐responsive
properties.
Optimization
interaction
between
magnetic
components
is
also
critical
as
it
ensures
robust
actuation
robot
complex
physiological
environments.
To
address
these
issues,
a
facile
strategy
presented
synergistically
combines
genetic
programming
electrochemical
engineering
achieve
on‐demand
release
with
protein‐magnetite
robots.
As
robot,
genetically
engineered
silk‐elastin‐like
protein
(SELP)
encoded
thermo‐responsive
motifs,
serving
dynamic
unit
respond
temperature
changes.
Ultrafine
magnetite
(Fe
3
O
4
)
nanocrystals
are
electrochemically
nucleated
situ
grown
on
Fe‐protein
coordination
sites
within
SELP
hydrogel
network,
endowing
reinforced
strength,
superparamagnetic
property,
photothermal
conversion
capability.
These
can
navigate
confined
spaces,
target
specific
sites,
payloads
ex
vivo
an
intestinal
model.
Taken
together,
proposed
offers
innovative
approach
tailoring
protein‐based
toward
precision
systems.
Язык: Английский
Revolutionizing Gangrene Therapy: Nanoparticle-Based Interventions and Biomarker Applications
Elizabeth Rani Edwin,
S. Jayaprakash,
Yamuna Gopi
и другие.
Deleted Journal,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 14, 2025
Язык: Английский
Synthesis, characterization, and exosomal corona formation of self-assembled dipeptide nanomaterials
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Апрель 19, 2025
Abstract
Exosomes
(Exos),
also
known
as
small
extracellular
vesicles,
are
naturally
occurring
nanoparticles
(NPs),
which
characterized
by
their
nanometer
size
and
negative
charged
in
physiological
environments.
While
it
is
widely
accepted
that
proteins
biological
compounds
adhere
to
different
nanomaterials
(NMs),
forming
an
outer
layer
the
biomolecule
corona
(BC),
detailed
understanding
of
factors
contributing
BC
formation
well
its
effects
remains
limited.
Studies
have
shown
can
affect
physicochemical
properties
synthetic
natural
NPs
once
contacting
fluids.
Here,
we
present
a
study
investigating
novel
concept
exosomal
formation,
contrast
well-documented
mainly
consists
Exos/exosomal
components.
For
this
purpose,
peptide-based
Fmoc-Lysine
(Fmoc-Lys)
NMs
were
synthesized
characterized,
interaction
studies
with
(cancer)
cell-derived
Exos
performed.
Measurements
size,
zeta
potential,
colloidal
stability
indicate
formation.
Furthermore,
cell
viability
experiments
showed
Exo-NM
resulted
reduced
nanotoxicity
profile
indicating
practical
relevance
for
applications
these
NMs.
In
summary,
here
provide
first
evidence
supporting
around
should
become
part
evaluating
interactions
at
nano-bio-interfaces.
Язык: Английский
Innovative nanoparticle strategies for treating oral cancers
Shahryar Irannejadrankouhi,
Hassan Mivehchi,
Aisan Eskandari-Yaghbastlo
и другие.
Medical Oncology,
Год журнала:
2025,
Номер
42(6)
Опубликована: Апрель 26, 2025
Язык: Английский
Explicating the transformative role of artificial intelligence in designing targeted nanomedicine
Masheera Akhtar,
Nida Nehal,
Azka Gull
и другие.
Expert Opinion on Drug Delivery,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 5, 2025
Artificial
intelligence
(AI)
has
emerged
as
a
transformative
force
in
nanomedicine.
revolutionizing
drug
delivery,
diagnostics,
and
personalized
treatment.
While
nanomedicine
offers
precise
targeted
delivery
reduced
toxic
effects,
its
clinical
translation
is
hindered
by
biological
complexity,
unpredictable
vivo
behavior,
inefficient
trial-and-error
approaches.
This
review
covers
the
application
of
AI
Machine
Learning
(ML)
across
development
pipeline,
starting
from
target
identification
to
nanoparticle
design,
toxicity
prediction,
dosing.
Different
AI/ML
models
like
QSAR,
MTK-QSBER,
Alchemite,
along
with
data
sources
high-throughput
screening
methods,
have
been
explored.
Real-world
applications
are
critically
discussed,
including
AI-assisted
repurposing,
controlled-release
formulations,
cancer-specific
systems.
an
essential
component
designing
next-generation
Efficiently
handling
multidimensional
datasets,
optimizing
personalizing
treatment
regimens,
it
sped
up
innovation
process.
However,
challenges
heterogeneity,
model
transparency,
regulatory
gaps
remain.
Addressing
these
hurdles
through
interdisciplinary
efforts
emerging
innovations
explainable
federated
learning
will
pave
way
for
AI-driven
Язык: Английский