International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(22), P. 12469 - 12469
Published: Nov. 20, 2024
Biotechnology
continues
to
drive
innovation
in
the
production
of
pharmaceuticals,
biofuels,
and
other
valuable
compounds,
leveraging
power
microbial
systems
for
enhanced
yield
sustainability.
Genome-scale
metabolic
(GSM)
modeling
has
become
an
essential
approach
this
field,
which
enables
a
guide
targeting
genetic
modifications
optimization
pathways
various
industrial
applications.
While
single-species
GSM
models
have
traditionally
been
employed
optimize
strains
like
Microbial Cell Factories,
Journal Year:
2024,
Volume and Issue:
23(1)
Published: May 22, 2024
Abstract
Fengycin
is
an
important
member
of
the
lipopeptide
family
with
a
wide
range
applications
in
agricultural,
food,
medical
and
cosmetic
industries.
However,
its
commercial
application
severely
hindered
by
low
productivity
high
cost.
Therefore,
numerous
studies
have
been
devoted
to
improving
production
fengycin.
We
summarize
these
this
review
aim
providing
reference
guidance
for
future
researchers.
This
begins
overview
synthesis
mechanism
fengycin
via
non-ribosomal
peptide
synthetases
(NRPS),
then
delves
into
strategies
recent
years.
These
mainly
include
fermentation
optimization
metabolic
engineering,
engineering
encompasses
enhancement
precursor
supply,
regulatory
factors,
promoter
genome-engineering
(genome
shuffling
genome-scale
network
model).
Finally,
we
conclude
prospect
production.
Metabolic Engineering,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 1, 2025
Genome-scale
metabolic
models
(GEMs)
have
been
widely
utilized
to
understand
cellular
metabolism.
The
application
of
GEMs
has
advanced
by
computational
methods
that
enable
the
prediction
and
analysis
intracellular
states.
However,
accuracy
biological
relevance
these
predictions
often
suffer
from
many
degrees
freedom
scarcity
available
data
constrain
adequately.
Here,
we
introduce
NEXT-FBA
(Neural-net
EXtracellular
Trained
Flux
Balance
Analysis),
a
novel
methodology
addresses
limitations
utilizing
exometabolomic
derive
biologically
relevant
constraints
for
fluxes
in
GEMs.
We
achieve
this
training
artificial
neural
networks
(ANNs)
with
Chinese
hamster
ovary
(CHO)
cells
correlating
it
13C-labeled
fluxomic
data.
By
capturing
underlying
relationships
between
exometabolomics
cell
metabolism,
predicts
upper
lower
bounds
reaction
demonstrate
efficacy
across
several
validation
experiments,
where
outperforms
existing
predicting
flux
distributions
align
closely
experimental
observations.
Furthermore,
case
study
demonstrates
how
can
guide
bioprocess
optimization
identifying
key
shifts
refining
yield
actionable
process
engineering
targets.
Overall,
aims
improve
modelling
optimization,
minimal
input
requirements
pre-trained
models.
Fermentation,
Journal Year:
2024,
Volume and Issue:
10(7), P. 361 - 361
Published: July 16, 2024
Bioethanol
is
the
most
commonly
used
biofuel.
It
an
alternative
to
replace
fossil
fuels
in
renewable
energy;
it
can
be
produced
from
lignocellulosic
feedstock
using
a
biotechnological
process.
Their
participation
of
microorganisms
crucial
bioconversion
process
fermentation
for
ethanol
production
and
involve
bacteria,
fungi,
yeasts.
However,
when
working
within
bioethanol
processes
lignocellulose
feedstock,
face
some
challenges,
such
as
high
temperature,
solids
content,
ability
ferment
sugars
concentration.
Such
challenges
will
depend
on
operative
strategies,
simultaneous
saccharification
fermentation,
separate
hydrolysis
semi-simultaneous
consolidated
bioprocessing;
these
are
common
configurations.
This
review
presents
different
trends
microbial
role,
biochemical
application,
strategies
second
generation.
Molecules,
Journal Year:
2024,
Volume and Issue:
29(15), P. 3687 - 3687
Published: Aug. 3, 2024
Reduced
nicotinamide
adenine
dinucleotide
phosphate
(NADPH)
is
a
crucial
cofactor
in
metabolic
networks.
The
efficient
regeneration
of
NADPH
one
the
limiting
factors
for
productivity
biotransformation
processes.
To
date,
many
engineering
tools
and
static
regulation
strategies
have
been
developed
to
regulate
regeneration.
However,
traditional
methods
often
lead
NADPH/NADP
Critical Reviews in Biotechnology,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 19
Published: Sept. 12, 2024
Acetyl-CoA
is
an
intermediate
metabolite
in
cellular
central
metabolism.
It's
a
precursor
for
various
valuable
commercial
products,
including:
terpenoids,
fatty
acids,
and
polyketides.
With
the
advancement
of
metabolic
synthetic
biology
tools,
microbial
cell
factories
have
been
constructed
efficient
synthesis
acetyl-CoA
derivatives,
with
