Biotechnology Advances,
Journal Year:
2024,
Volume and Issue:
74, P. 108401 - 108401
Published: June 27, 2024
Metabolic
burden
is
defined
by
the
influence
of
genetic
manipulation
and
environmental
perturbations
on
distribution
cellular
resources.
The
rewiring
microbial
metabolism
for
bio-based
chemical
production
often
leads
to
a
metabolic
burden,
followed
adverse
physiological
effects,
such
as
impaired
cell
growth
low
product
yields.
Alleviating
imposed
undesirable
changes
has
become
an
increasingly
attractive
approach
constructing
robust
factories.
In
this
review,
we
provide
brief
overview
engineering,
focusing
specifically
recent
developments
strategies
diminishing
while
improving
robustness
yield.
A
variety
examples
are
presented
showcase
promise
engineering
in
facilitating
design
construction
Finally,
challenges
limitations
encountered
discussed.
ChemBioChem,
Journal Year:
2024,
Volume and Issue:
25(13)
Published: May 7, 2024
Recent
advances
in
bioeconomy
allow
a
holistic
view
of
existing
and
new
process
chains
enable
novel
production
routines
continuously
advanced
by
academia
industry.
All
this
progress
benefits
from
growing
number
prediction
tools
that
have
found
their
way
into
the
field.
For
example,
automated
genome
annotations,
for
building
model
structures
proteins,
structural
protein
methods
such
as
AlphaFold2
Artificial Intelligence Chemistry,
Journal Year:
2024,
Volume and Issue:
2(2), P. 100075 - 100075
Published: July 27, 2024
The
beginning
and
ripening
of
digital
chemistry
is
analyzed
focusing
on
the
role
artificial
intelligence
(AI)
in
an
expected
leap
chemical
sciences
to
bring
this
area
next
evolutionary
level.
analytic
description
selects
highlights
top
20
AI-based
technologies
7
broader
themes
that
are
reshaping
field.
It
underscores
integration
tools
such
as
machine
learning,
big
data,
twins,
Internet
Things
(IoT),
robotic
platforms,
smart
control
processes,
virtual
reality
blockchain,
among
many
others,
enhancing
research
methods,
educational
approaches,
industrial
practices
chemistry.
significance
study
lies
its
focused
overview
how
these
innovations
foster
a
more
efficient,
sustainable,
innovative
future
sciences.
This
article
not
only
illustrates
transformative
impact
but
also
draws
new
pathways
chemistry,
offering
broad
appeal
researchers,
educators,
industry
professionals
embrace
advancements
for
addressing
contemporary
challenges
Biotechnology and Bioengineering,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 16, 2025
ABSTRACT
High‐performance
strain
and
corresponding
fermentation
process
are
essential
for
achieving
efficient
biomanufacturing.
However,
conventional
offline
detection
methods
products
cumbersome
less
stable,
hindering
the
“Test”
module
in
operation
of
“Design‐Build‐Test‐Learn”
cycle
screening
optimization.
This
study
proposed
validated
an
innovative
research
paradigm
combining
computer
vision
with
deep
learning
to
facilitate
selection
effective
A
practical
framework
was
developed
gentamicin
C1a
titer
as
a
proof‐of‐concept,
using
extract
different
color
space
components
across
various
cultivation
systems.
Subsequently,
by
integrating
data
preprocessing
algorithm
design,
prediction
model
1D‐CNN
Z‐score
preprocessing,
correlation
coefficient
(
R
2
)
0.9862
C1a.
Furthermore,
this
successfully
applied
high‐yield
real‐time
monitoring
extended
rapid
fluorescent
protein
expression
promoter
library
construction.
The
visual
sensing
provides
theoretical
support
standardization
digital
color‐changing
bioprocesses.
Trends in biotechnology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 1, 2025
Large
language
models
(LLMs)
are
transforming
synthetic
biology
(SynBio)
education
and
research.
In
this
review
we
cover
the
advancements
potential
impacts
of
LLMs
in
biomanufacturing.
First,
summarize
recent
developments
compare
capabilities
US
Chinese
addressing
fundamental
SynBio
questions.
Second,
discuss
application
extracting
information
from
unstructured
data,
constructing
knowledge
graphs,
enabling
retrieval-augmented
generation.
Third,
anticipate
that
will
not
only
revolutionize
design-build-test-learn
(DBTL)
cycle
metabolic
modeling
engineering
but
also
enable
self-driving
laboratories
future
Finally,
emphasize
need
for
establishing
benchmarks
LLMs,
fostering
trustworthy
synthesis,
developing
biosecurity
frameworks
to
prevent
misuse,
encouraging
collaboration
among
artificial
intelligence
(AI)
scientists,
researchers,
bioprocess
engineers.
Frontiers in Synthetic Biology,
Journal Year:
2025,
Volume and Issue:
3
Published: March 7, 2025
Devices
sensing
inputs
and
generating
outputs
are
fundamental
regulatory
units,
as
such
the
basis
of
more
complex
networks.
We
provide
an
overview
devices
used
building
blocks
in
synthetic
biology,
how
genetic
circuitry
is
being
constructed
from
them.
first
comprehensively
explore
operating
at
different
levels
gene
regulation,
with
action
modes
on
DNA
sequence,
to
transcriptional,
translational
post-translational
control.
then
discuss
design
principles
constructing
circuits
basic
addressing
challenges
orthogonality,
context-dependence,
noise,
complexity.
present
examples
circuitry,
including
bistable
switches,
logic
gates,
signal
amplification,
memory
for
biocomputation.
How
artificial
can
be
useful
real-life
applications
illustrated
bioproduction,
living
therapeutics,
biosafety.
Our
aim
a
comprehensive
toolbox
profound
understanding
their
potential
diverse
applications.
