ACS Catalysis,
Journal Year:
2024,
Volume and Issue:
14(4), P. 2709 - 2718
Published: Feb. 7, 2024
Biocatalysis
is
entering
a
promising
era
as
data-driven
science.
High-throughput
experimentation
generates
rapidly
increasing
stream
of
biocatalytic
data,
which
the
raw
material
for
mechanistic
and
modeling
to
design
improved
biocatalysts
bioprocesses.
However,
our
laboratory
routines
scientific
practice
communicating
results
are
insufficient
ensure
reproducibility
scalability
experiments,
data
management
has
become
bottleneck
progress
in
biocatalysis.
In
order
take
full
advantage
rapid
experimental
computational
technologies,
should
be
findable,
accessible,
interoperable,
reusable
(FAIR).
FAIRification
software
achieved
by
developing
standardized
exchange
formats
ontologies,
electronic
lab
notebooks
acquisition
documentation
experimentation,
collaborative
platforms
analyzing
repositories
publishing
together
with
data.
The
EnzymeML
platform
provides
extensible
tools
FAIR
scalable
digitalization
biocatalysis
expected
improve
efficiency
research
automation
guarantee
quality
science
reproducibility.
Most
all,
they
foster
reasoning
creating
hypotheses
enabling
reanalysis
previously
published
thus
promote
disruptive
innovation.
Angewandte Chemie International Edition,
Journal Year:
2024,
Volume and Issue:
63(10)
Published: Jan. 10, 2024
Stereodivergent
engineering
of
one
enzyme
to
create
stereocomplementary
variants
for
synthesizing
optically
pure
molecules
with
tailor-made
(R)
or
(S)
configurations
on
an
optional
basis
is
highly
desirable
and
challenging.
This
study
aimed
engineer
fatty
acid
photodecarboxylase
from
Chlorella
variabilis
(CvFAP)
using
the
focused
rational
iterative
site-specific
mutagenesis
(FRISM)
strategy
obtain
two
excellent
selectivity
(both
giving
products
up
99
%
e.e.).
These
were
used
CvFAP-catalyzed
light-driven
kinetic
resolution
oxalates
oxamic
acids
prepared
corresponding
sec-alcohols
amines,
providing
a
new
biotransformation
process
preparing
chiral
amines.
Molecular
dynamics
simulation,
data
transient
spectra
revealed
source
selectivity.
represents
first
example
amines
catalyzed
by
pair
CvFAPs.
ACS Synthetic Biology,
Journal Year:
2024,
Volume and Issue:
13(5), P. 1434 - 1441
Published: May 2, 2024
Enzymatic
cascades
have
become
a
green
and
sustainable
approach
for
the
synthesis
of
valuable
chemicals
pharmaceuticals.
Using
sequential
enzymes
to
construct
multienzyme
complex
is
an
effective
way
enhance
overall
performance
biosynthetic
routes.
Here
we
report
design
efficient
in
vitro
hybrid
biocatalytic
system
by
assembling
three
that
can
convert
styrene
(S)-1-phenyl-1,2-ethanediol.
Specifically,
prepared
different
ways,
which
were
cell
surface-displayed,
purified,
cell-free
expressed.
To
assemble
them,
fused
two
orthogonal
peptide–protein
pairs
(i.e.,
SpyTag/SpyCatcher
SnoopTag/SnoopCatcher)
enzymes,
allowing
their
spatial
organization
covalent
assembly.
By
doing
this,
constructed
complex,
could
production
(S)-1-phenyl-1,2-ethanediol
3
times
compared
free-floating
enzyme
without
After
optimization
reaction
system,
final
product
yield
reached
234.6
μM
with
substrate
conversion
rate
46.9%
(based
on
0.5
mM
styrene).
Taken
together,
our
strategy
integrates
merits
advanced
biochemical
engineering
techniques,
including
cellular
surface
display,
organization,
expression,
offers
new
solution
chemical
biosynthesis
enzymatic
cascade
biotransformation.
We,
therefore,
anticipate
will
hold
great
potential
designing
constructing
highly
systems
synthesize
agricultural,
industrial,
pharmaceutical
significance.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 3, 2024
Custom
designed
enzymes
can
further
enhance
the
use
of
biocatalysts
in
industrial
biotransformations,
thereby
helping
to
tackle
biotechnological
challenges
21st
century.
We
present
rotamer
inverted
fragment
finder
-
diffusion
(Riff-Diff)
a
hybrid
machine
learning
and
atomistic
modeling
strategy
for
scaffolding
catalytic
arrays
de
novo
protein
backbones
with
custom
substrate
pockets.
used
Riff-Diff
scaffold
tetrad
capable
efficiently
catalyzing
retro-aldol
reaction.
Functional
designs
exhibit
high
fold
diversity,
pockets
similar
natural
enzymes.
Some
thus
generated
show
activities
rivaling
those
optimized
by
in-vitro
evolution.
The
design
can,
principle,
be
applied
any
catalytically
competent
amino
acid
constellation.
These
findings
are
paving
way
address
factors
practical
applicability
catalysts
processes
shed
light
on
fundamental
principles
enzyme
catalysis.
Journal of the American Chemical Society,
Journal Year:
2024,
Volume and Issue:
146(38), P. 25976 - 25985
Published: Aug. 8, 2024
Cerium
photoredox
catalysis
has
emerged
as
a
powerful
strategy
to
activate
molecules
under
mild
conditions.
Radical
intermediates
are
formed
using
visible
light
and
simple
complexes
of
the
earth-abundant
lanthanide.
Here,
we
report
an
artificial
photoenzyme
enabling
this
chemistry
inside
protein.
We
utilize
de
novo
designed
protein
scaffold
that
tightly
binds
lanthanide
ions
in
its
central
cavity.
Upon
visible-light
irradiation,
cerium-dependent
enzyme
catalyzes
radical
C-C
bond
cleavage
1,2-diols
aqueous
solution.
Protein
engineering
led
variants
with
improved
photostability
metal
binding
behavior.
The
cleaves
range
aromatic
aliphatic
substrates,
including
lignin
surrogates.
Surface
display
on
ACS Catalysis,
Journal Year:
2024,
Volume and Issue:
14(4), P. 2709 - 2718
Published: Feb. 7, 2024
Biocatalysis
is
entering
a
promising
era
as
data-driven
science.
High-throughput
experimentation
generates
rapidly
increasing
stream
of
biocatalytic
data,
which
the
raw
material
for
mechanistic
and
modeling
to
design
improved
biocatalysts
bioprocesses.
However,
our
laboratory
routines
scientific
practice
communicating
results
are
insufficient
ensure
reproducibility
scalability
experiments,
data
management
has
become
bottleneck
progress
in
biocatalysis.
In
order
take
full
advantage
rapid
experimental
computational
technologies,
should
be
findable,
accessible,
interoperable,
reusable
(FAIR).
FAIRification
software
achieved
by
developing
standardized
exchange
formats
ontologies,
electronic
lab
notebooks
acquisition
documentation
experimentation,
collaborative
platforms
analyzing
repositories
publishing
together
with
data.
The
EnzymeML
platform
provides
extensible
tools
FAIR
scalable
digitalization
biocatalysis
expected
improve
efficiency
research
automation
guarantee
quality
science
reproducibility.
Most
all,
they
foster
reasoning
creating
hypotheses
enabling
reanalysis
previously
published
thus
promote
disruptive
innovation.