Use of Nicotinamide Mononucleotide as Non-Natural Cofactor
Catalysts,
Год журнала:
2025,
Номер
15(1), С. 37 - 37
Опубликована: Янв. 3, 2025
Nicotinamide
mononucleotide
(NMN)
has
emerged
as
a
promising
non-natural
cofactor
with
significant
potential
to
transform
biocatalysis,
synthetic
biology,
and
therapeutic
applications.
By
modulating
NAD⁺
metabolism,
NMN
offers
unique
advantages
in
enzymatic
reactions,
metabolic
engineering,
regenerative
medicine.
This
review
provides
comprehensive
analysis
of
NMN’s
biochemical
properties,
mechanisms
action,
diverse
Emphasis
is
placed
on
its
role
addressing
challenges
multi-enzyme
cascades,
biofuel
production,
the
synthesis
high-value
chemicals.
The
paper
also
highlights
critical
research
gaps,
including
need
for
scalable
methods,
improved
integration
into
systems,
toxicity
studies
use.
Emerging
technologies
such
AI-driven
enzyme
design
CRISPR-based
genome
engineering
are
discussed
transformative
tools
optimizing
NMN-dependent
pathways.
Furthermore,
synergistic
biology
innovations,
cell-free
systems
dynamic
regulatory
networks,
explored,
paving
way
precise
modular
biotechnological
solutions.
Looking
forward,
versatility
positions
it
pivotal
tool
advancing
sustainable
bioprocessing
precision
Addressing
current
limitations
through
interdisciplinary
approaches
will
enable
redefine
boundaries
innovation.
serves
roadmap
leveraging
across
scientific
industrial
domains.
Язык: Английский
Biocatalytic enzymes in food packaging, biomedical, and biotechnological applications: A comprehensive review
International Journal of Biological Macromolecules,
Год журнала:
2025,
Номер
unknown, С. 140069 - 140069
Опубликована: Янв. 1, 2025
Язык: Английский
Innovative approaches for enzyme immobilization in milk processing: advancements and industrial applications
Critical Reviews in Food Science and Nutrition,
Год журнала:
2025,
Номер
unknown, С. 1 - 20
Опубликована: Янв. 22, 2025
The
dairy
industry
is
progressively
integrating
advanced
enzyme
technologies
to
optimize
processing
efficiency
and
elevate
product
quality.
Among
these
technologies,
immobilization
has
emerged
as
a
pivotal
innovation,
offering
considerable
benefits
in
terms
of
reusability,
stability,
overall
process
sustainability.
This
review
paper
explores
the
latest
improvements
techniques
their
industrial
applications
within
milk
processing.
It
examines
various
strategies,
including
adsorption,
affinity
binding,
ionic
covalent
entrapment,
encapsulation,
cross-linking,
highlighting
effectiveness
improving
performance
key
enzymes
such
lactases,
lipases,
proteases
transglutaminases.
also
delves
into
economic
ecological
immobilization,
emphasizing
its
role
reducing
production
costs
environmental
impact
while
maintaining
or
enhancing
quality
products.
By
analyzing
current
trends
technological
developments,
this
provides
comprehensive
overview
how
innovative
approaches
are
transforming
concludes
with
discussion
on
future
research
directions
potential
applications,
underscoring
importance
continued
innovation
field
meet
increasing
demands
global
market.
Язык: Английский
Screening Adaptive Microbial Hydrolytic Enzymes for Cleaner Production in Resource-Limited Settings
Industrial Biotechnology,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 30, 2025
Язык: Английский
Recent advances in recycling and upcycling of hazardous plastic waste: A review
Journal of Environmental Management,
Год журнала:
2025,
Номер
380, С. 124867 - 124867
Опубликована: Март 12, 2025
Язык: Английский
Defatted Chia (Salvia Hispanica L.) Flour Peptides: Exploring Nutritional Profiles, Techno-Functional and Bio-Functional Properties, and Future Directions
Current Research in Food Science,
Год журнала:
2025,
Номер
unknown, С. 101035 - 101035
Опубликована: Март 1, 2025
Язык: Английский
Recent Advances in Microbial Enzyme Applications for Sustainable Textile Processing and Waste Management
Sci,
Год журнала:
2025,
Номер
7(2), С. 46 - 46
Опубликована: Апрель 9, 2025
Microbial
enzymes
have
revolutionised
the
textile
industry
by
replacing
harmful
chemicals
with
eco-friendly
alternatives,
enhancing
processes
such
as
desizing,
scouring,
dyeing,
finishing,
and
promoting
water
conservation
while
reducing
pollution.
This
review
explores
role
of
like
amylases,
pectinases,
cellulases,
catalases,
laccases,
peroxidases
in
sustainable
processing,
focusing
on
their
ability
to
mitigate
environmental
pollution
from
effluents.
The
also
examines
types
characteristics
hazardous
waste
evaluates
traditional
treatment
methods,
highlighting
alternatives
microbial
enzyme
treatments
for
effluent
treatment.
Recent
advancements
recombinant
technology,
including
engineering
immobilisation
techniques
enhance
stability,
reusability,
catalytic
performance,
are
explored.
Additionally,
potential
extremozymes
processing
is
explored,
emphasising
stability
under
harsh
industrial
conditions.
Strategies
through
enzyme-based
presented,
principles
circular
economy.
addresses
challenges
scalability,
cost,
process
optimisation,
proposing
solutions
outlining
future
directions
widespread
adoption
production
management.
underscores
transformative
achieving
greener
manufacturing
practices.
Язык: Английский
Advances in Zero‐Shot Prediction‐Guided Enzyme Engineering Using Machine Learning
ChemCatChem,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 23, 2024
Abstract
The
advent
of
machine
learning
(ML)
has
significantly
advanced
enzyme
engineering,
particularly
through
zero‐shot
(ZS)
predictors
that
forecast
the
effects
amino
acid
mutations
on
properties
without
requiring
additional
labeled
data
for
target
enzyme.
This
review
comprehensively
summarizes
ZS
developed
over
past
decade,
categorizing
them
into
kinetic
parameters,
stability,
solubility/aggregation,
and
fitness.
It
details
algorithms
used,
encompassing
traditional
ML
approaches
deep
models,
emphasizing
their
predictive
performance.
Practical
applications
in
engineering
specific
enzymes
are
discussed.
Despite
notable
advancements,
challenges
persist,
including
limited
training
necessity
to
incorporate
environmental
factors
(e.g.,
pH,
temperature)
dynamics
these
models.
Future
directions
proposed
advance
prediction‐guided
thereby
enhancing
practical
utility
predictors.
Язык: Английский