ACS Synthetic Biology,
Journal Year:
2022,
Volume and Issue:
11(3), P. 1313 - 1324
Published: Feb. 17, 2022
Widespread
availability
of
protein
sequence-fitness
data
would
revolutionize
both
our
biochemical
understanding
proteins
and
ability
to
engineer
them.
Unfortunately,
even
though
thousands
variants
are
generated
evaluated
for
fitness
during
a
typical
engineering
campaign,
most
never
sequenced,
leaving
wealth
potential
information
untapped.
Primarily,
this
is
because
sequencing
unnecessary
many
strategies;
the
added
cost
effort
thus
unjustified.
It
also
results
from
fact
that,
lower-cost
strategies
have
been
developed,
they
often
require
at
least
some
access
experience
with
or
computational
resources,
which
can
be
barriers
access.
Here,
we
present
every
variant
(evSeq),
method
collection
tools/standardized
components
variable
region
within
gene
produced
campaign
cents
per
variant.
evSeq
was
designed
democratize
low-cost
engineers
and,
indeed,
anyone
interested
in
biological
systems.
Execution
its
wet-lab
component
simple,
requires
no
perform,
relies
only
on
resources
services
typically
available
biology
labs,
slots
neatly
into
existing
workflows.
Analysis
likewise
made
simple
by
accompanying
software
(found
github.com/fhalab/evSeq,
documentation
fhalab.github.io/evSeq),
run
personal
laptop
accessible
users
experience.
Low-cost
easy-to-use,
makes
extensive
practical.
Angewandte Chemie International Edition,
Journal Year:
2019,
Volume and Issue:
59(32), P. 13204 - 13231
Published: July 3, 2019
Directed
evolution
of
stereo-,
regio-,
and
chemoselective
enzymes
constitutes
a
unique
way
to
generate
biocatalysts
for
synthetically
interesting
transformations
in
organic
chemistry
biotechnology.
In
order
this
protein
engineering
technique
be
efficient,
fast,
reliable,
also
relevance
synthetic
chemistry,
methodology
development
was
still
is
necessary.
Following
description
early
key
contributions,
review
focuses
on
recent
developments.
It
includes
optimization
molecular
biological
methods
gene
mutagenesis
the
design
efficient
strategies
their
application,
resulting
notable
reduction
screening
effort
(bottleneck
directed
evolution).
When
aiming
laboratory
selectivity
activity,
second-generation
versions
Combinatorial
Active-Site
Saturation
Test
(CAST)
Iterative
Mutagenesis
(ISM),
both
involving
saturation
(SM)
at
sites
lining
binding
pocket,
have
emerged
as
preferred
approaches,
aided
by
silico
such
machine
learning.
The
recently
proposed
Focused
Rational
Site-specific
(FRISM)
fusion
rational
evolution.
On-chip
solid-phase
chemical
synthesis
rapid
library
construction
enhances
quality
notably
eliminating
undesired
amino
acid
bias,
future
evolution?
ACS Catalysis,
Journal Year:
2019,
Volume and Issue:
10(2), P. 1210 - 1223
Published: Dec. 13, 2019
Enzyme
engineering
plays
a
central
role
in
developing
efficient
biocatalysts
for
biotechnology,
biomedicine,
and
life
sciences.
Apart
from
classical
rational
design
directed
evolution
approaches,
machine
learning
methods
have
been
increasingly
applied
to
find
patterns
data
that
help
predict
protein
structures,
improve
enzyme
stability,
solubility,
function,
substrate
specificity,
guide
design.
In
this
Perspective,
we
analyze
the
state
of
art
databases
used
training
validating
predictors
engineering.
We
discuss
current
limitations
challenges
which
community
is
facing
recent
advancements
experimental
theoretical
potential
address
those
challenges.
also
present
our
view
on
possible
future
directions
applications
biocatalysts.
ACS Central Science,
Journal Year:
2021,
Volume and Issue:
7(1), P. 55 - 71
Published: Jan. 14, 2021
Biocatalysis,
using
defined
enzymes
for
organic
transformations,
has
become
a
common
tool
in
synthesis,
which
is
also
frequently
applied
industry.
The
generally
high
activity
and
outstanding
stereo-,
regio-,
chemoselectivity
observed
many
biotransformations
are
the
result
of
precise
control
reaction
active
site
biocatalyst.
This
achieved
by
exact
positioning
reagents
relative
to
each
other
fine-tuned
3D
environment,
specific
activating
interactions
between
protein,
subtle
movements
catalyst.
Enzyme
engineering
enables
one
adapt
catalyst
desired
process.
A
well-filled
biocatalytic
toolbox
ready
be
used
various
reactions.
Providing
nonnatural
conditions
evolving
biocatalysts
play
with
myriad
options
creating
novel
transformations
thereby
opening
new,
short
pathways
target
molecules.
Combining
several
pot
perform
reactions
concurrently
increases
efficiency
biocatalysis
even
further.
Chemical Society Reviews,
Journal Year:
2021,
Volume and Issue:
50(14), P. 8003 - 8049
Published: Jan. 1, 2021
Technological
developments
enable
the
discovery
of
novel
enzymes,
advancement
enzyme
cascade
designs
and
pathway
engineering,
moving
biocatalysis
into
an
era
technology
integration,
intelligent
manufacturing
enzymatic
total
synthesis.
Chemical Science,
Journal Year:
2020,
Volume and Issue:
11(10), P. 2587 - 2605
Published: Jan. 1, 2020
Enzymes
are
excellent
catalysts
that
increasingly
being
used
in
industry
and
academia.
This
Perspective
provides
a
general
practical
guide
to
enzymes
their
synthetic
potential,
primarily
aimed
at
organic
chemists.
Chemical Society Reviews,
Journal Year:
2019,
Volume and Issue:
49(1), P. 233 - 262
Published: Dec. 9, 2019
This
review
summarizes
how
ultrahigh-throughput
screening
methods
employ
cells
and
biomimetic
compartments
to
access
the
vast,
unexplored
diversity
of
biocatalysts
with
novel
functions
derived
from
directed
evolution
metagenomics
libraries.
Angewandte Chemie International Edition,
Journal Year:
2020,
Volume and Issue:
60(11), P. 5644 - 5665
Published: April 24, 2020
Abstract
Reductions
play
a
key
role
in
organic
synthesis,
producing
chiral
products
with
new
functionalities.
Enzymes
can
catalyse
such
reactions
exquisite
stereo‐,
regio‐
and
chemoselectivity,
leading
the
way
to
alternative
shorter
classical
synthetic
routes
towards
not
only
high‐added‐value
compounds
but
also
bulk
chemicals.
In
this
review
we
describe
state‐of‐the‐art
potential
of
enzymes
that
reductions,
ranging
from
carbonyl,
enone
aromatic
reductions
reductive
aminations.
Journal of the American Chemical Society,
Journal Year:
2019,
Volume and Issue:
141(19), P. 7934 - 7945
Published: April 26, 2019
Enzymatic
stereodivergent
synthesis
to
access
all
possible
product
stereoisomers
bearing
multiple
stereocenters
is
relatively
undeveloped,
although
enzymes
are
being
increasingly
used
in
both
academic
and
industrial
areas.
When
two
thus
four
stereoisomeric
products
involved,
obtaining
enzyme
mutants
for
individually
accessing
would
be
ideal.
Although
significant
success
has
been
achieved
directed
evolution
of
general,
engineering
one
into
highly
stereocomplementary
variants
the
full
complement
remains
a
challenge.
Using
Candida
antarctica
lipase
B
(CALB)
as
model,
we
report
protein
this
needed
transesterification
reactions
between
racemic
acids
alcohols
organic
solvents.
By
generating
screening
less
than
25
each
isomer,
>90%
selectivity
model
reaction.
This
difficult
feat
was
accomplished
by
developing
strategy
dubbed
"focused
rational
iterative
site-specific
mutagenesis"
(FRISM)
at
sites
lining
enzyme's
binding
pocket.
The
accumulation
single
mutations
mutagenesis
using
restricted
set
rationally
chosen
amino
allows
formation
ultrasmall
mutant
libraries
requiring
minimal
stereoselectivity.
crystal
structure
CALB
variants,
flanked
MD
simulations,
uncovered
source
selectivity.