Angewandte Chemie International Edition,
Journal Year:
2023,
Volume and Issue:
62(52)
Published: Aug. 31, 2023
Abstract
The
development
and
implementation
of
sustainable
catalytic
technologies
is
key
to
delivering
our
net‐zero
targets.
Here
we
review
how
engineered
enzymes,
with
a
focus
on
those
developed
using
directed
evolution,
can
be
deployed
improve
the
sustainability
numerous
processes
help
conserve
environment.
Efficient
robust
biocatalysts
have
been
capture
carbon
dioxide
(CO
2
)
embedded
into
new
efficient
metabolic
CO
fixation
pathways.
Enzymes
refined
for
bioremediation,
enhancing
their
ability
degrade
toxic
harmful
pollutants.
Biocatalytic
recycling
gaining
momentum,
cutinases
PETases
depolymerization
abundant
plastic,
polyethylene
terephthalate
(PET).
Finally,
biocatalytic
approaches
accessing
petroleum‐based
feedstocks
chemicals
are
expanding,
optimized
enzymes
convert
plant
biomass
biofuels
or
other
high
value
products.
Through
these
examples,
hope
illustrate
enzyme
engineering
biocatalysis
contribute
cleaner
more
chemical
industry.
Science,
Journal Year:
2023,
Volume and Issue:
382(6673)
Published: Nov. 23, 2023
Biocatalysis
harnesses
enzymes
to
make
valuable
products.
This
green
technology
is
used
in
countless
applications
from
bench
scale
industrial
production
and
allows
practitioners
access
complex
organic
molecules,
often
with
fewer
synthetic
steps
reduced
waste.
The
last
decade
has
seen
an
explosion
the
development
of
experimental
computational
tools
tailor
enzymatic
properties,
equipping
enzyme
engineers
ability
create
biocatalysts
that
perform
reactions
not
present
nature.
By
using
(chemo)-enzymatic
synthesis
routes
or
orchestrating
intricate
cascades,
scientists
can
synthesize
elaborate
targets
ranging
DNA
pharmaceuticals
starch
made
vitro
CO2-derived
methanol.
In
addition,
new
chemistries
have
emerged
through
combination
biocatalysis
transition
metal
catalysis,
photocatalysis,
electrocatalysis.
review
highlights
recent
key
developments,
identifies
current
limitations,
provides
a
future
prospect
for
this
rapidly
developing
technology.
ACS Catalysis,
Journal Year:
2022,
Volume and Issue:
12(15), P. 9307 - 9324
Published: July 18, 2022
Plastic
waste
triggers
a
series
of
concerns
because
its
disruptive
impact
on
the
environment
and
ecosystem.
From
point
view
catalysis,
however,
end-of-life
plastics
can
be
seen
as
an
untapped
feedstock
for
preparation
value-added
products.
Thus,
development
diversified
catalytic
approaches
valorization
is
urgent.
Previous
reviews
this
field
have
systematically
summarized
progress
made
plastic
reclamation.
In
review,
we
emphasize
design
processes
by
leveraging
state-of-the-art
technologies
from
other
developed
fields
to
derive
valuable
polymers,
functional
materials,
chemicals
plastics.
The
principles,
mechanisms,
opportunities
chemical
(thermo-,
electro-,
photocatalytic)
well
biocatalytic
ones
are
discussed,
which
may
provide
more
insights
future
processes.
Finally,
outlooks
perspectives
accelerate
toward
feasible
economy
discussed.
Cell,
Journal Year:
2024,
Volume and Issue:
187(3), P. 526 - 544
Published: Feb. 1, 2024
Methods
from
artificial
intelligence
(AI)
trained
on
large
datasets
of
sequences
and
structures
can
now
"write"
proteins
with
new
shapes
molecular
functions
de
novo,
without
starting
found
in
nature.
In
this
Perspective,
I
will
discuss
the
state
field
novo
protein
design
at
juncture
physics-based
modeling
approaches
AI.
New
folds
higher-order
assemblies
be
designed
considerable
experimental
success
rates,
difficult
problems
requiring
tunable
control
over
conformations
precise
shape
complementarity
for
recognition
are
coming
into
reach.
Emerging
incorporate
engineering
principles-tunability,
controllability,
modularity-into
process
beginning.
Exciting
frontiers
lie
deconstructing
cellular
and,
conversely,
constructing
synthetic
signaling
ground
up.
As
methods
improve,
many
more
challenges
unsolved.
JACS Au,
Journal Year:
2023,
Volume and Issue:
3(3), P. 715 - 735
Published: Feb. 27, 2023
Biocatalysis
is
a
highly
valued
enabling
technology
for
pharmaceutical
research
and
development
as
it
can
unlock
synthetic
routes
to
complex
chiral
motifs
with
unparalleled
selectivity
efficiency.
This
perspective
aims
review
recent
advances
in
the
implementation
of
biocatalysis
across
early
late-stage
focus
on
processes
preparative-scale
syntheses.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Sept. 12, 2023
Abstract
Deep
generative
models
are
increasingly
powerful
tools
for
the
in
silico
design
of
novel
proteins.
Recently,
a
family
called
diffusion
has
demonstrated
ability
to
generate
biologically
plausible
proteins
that
dissimilar
any
actual
seen
nature,
enabling
unprecedented
capability
and
control
de
novo
protein
design.
However,
current
state-of-the-art
structures,
which
limits
scope
their
training
data
restricts
generations
small
biased
subset
space.
Here,
we
introduce
general-purpose
framework,
EvoDiff,
combines
evolutionary-scale
with
distinct
conditioning
capabilities
controllable
generation
sequence
EvoDiff
generates
high-fidelity,
diverse,
structurally-plausible
cover
natural
functional
We
show
experimentally
express,
fold,
exhibit
expected
secondary
structure
elements.
Critically,
can
inaccessible
structure-based
models,
such
as
those
disordered
regions,
while
maintaining
scaffolds
structural
motifs.
validate
universality
our
sequence-based
formulation
by
characterizing
intrinsically-disordered
mitochondrial
targeting
signals,
metal-binding
proteins,
binders
designed
using
EvoDiff.
envision
will
expand
engineering
beyond
structure-function
paradigm
toward
programmable,
sequence-first
Science,
Journal Year:
2023,
Volume and Issue:
379(6628), P. 195 - 201
Published: Jan. 12, 2023
The
design
of
structurally
diverse
enzymes
is
constrained
by
long-range
interactions
that
are
necessary
for
accurate
folding.
We
introduce
an
atomistic
and
machine
learning
strategy
the
combinatorial
assembly
(CADENZ)
to
fragments
combine
with
one
another
generate
diverse,
low-energy
structures
stable
catalytic
constellations.
applied
CADENZ
endoxylanases
used
activity-based
protein
profiling
recover
thousands
enzymes.
Functional
designs
exhibit
high
active-site
preorganization
more
compact
packing
outside
active
site.
Implementing
these
lessons
into
led
a
10-fold
improved
hit
rate
than
10,000
recovered
This
design-test-learn
loop
can
be
applied,
in
principle,
any
modular
family,
yielding
huge
diversity
general
on
principles.
Accounts of Chemical Research,
Journal Year:
2023,
Volume and Issue:
56(8), P. 938 - 947
Published: March 28, 2023
The
quantum
chemical
cluster
approach
has
been
used
for
modeling
enzyme
active
sites
and
reaction
mechanisms
more
than
two
decades.
In
this
methodology,
a
relatively
small
part
of
the
around
site
is
selected
as
model,
methods,
typically
density
functional
theory,
are
to
calculate
energies
other
properties.
surrounding
modeled
using
implicit
solvation
atom
fixing
techniques.
Over
years,
large
number
have
solved
method.
models
gradually
become
larger
result
faster
computers,
new
kinds
questions
addressed.
Account,
we
review
how
can
be
utilized
in
field
biocatalysis.
Examples
from
our
recent
work
chosen
illustrate
various
aspects
methodology.
use
model
explore
substrate
binding
discussed
first.
It
emphasized
that
comprehensive
search
necessary
order
identify
lowest-energy
mode(s).
also
argued
best
mode
might
not
productive
one,
full
reactions
enzyme-substrate
complexes
therefore
considered
find
pathway.
Next,
examples
given
help
elucidation
detailed
biocatalytically
interesting
enzymes,
knowledge
exploited
develop
enzymes
with
functions
or
understand
reasons
lack
activity
toward
non-natural
substrates.
context
phenolic
acid
decarboxylase
metal-dependent
decarboxylases
amidohydrolase
superfamily.
application
investigation
enzymatic
enantioselectivity
discussed.
strictosidine
synthase
case
study,
where
calculations
could
reproduce
rationalize
selectivities
both
natural
Finally,
discuss
guide
rational
design
variants
improved
selectivity.
Acyl
transferase
Mycobacterium
smegmatis
serves
an
instructive
example
here,
which
pinpoint
factors
controlling
specificity
enantioselectivity.
cases
Account
highlight
thus
value
tool
complements
experiments
computational
techniques
provides
insights
existing
tailored