bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Aug. 24, 2023
Hydroxynitrile
lyase
from
rubber
tree
(HbHNL)
shares
45%
identical
amino
acid
residues
with
the
homologous
esterase
tobacco,
SABP2,
but
two
enzymes
catalyze
different
reactions.
The
x-ray
structures
reveal
a
serine-histidine-aspartate
catalytic
triad
in
both
along
several
differing
within
active
site.
Previous
exchange
of
three
site
HbHNL
corresponding
residue
SABP2
(T11G-E79H-K236M)
created
variant
HNL3,
which
showed
low
activity
toward
p-nitrophenyl
acetate.
Further
structure
comparison
reveals
additional
differences
surrounding
contains
an
improperly
positioned
oxyanion
hole
and
solvation
aspartate.
We
hypothesized
that
correcting
these
structural
would
impart
good
on
variant.
To
predict
substitutions
needed
to
correct
structure,
we
calculated
shortest
path
maps
for
correlated
movements
acids
enzymes.
Replacing
four
(C81L-N104T-V106F-G176S)
whose
are
connected
yielded
HNL7TV
(stabilizing
substitution
H103V
was
also
added),
efficiency
comparable
SABP2.
intermediate
variant,
HNL6V,
altered
aspartate
partially
corrected
hole.
This
dramatic
increase
demonstrates
ability
outside
contribute
activity.
JACS Au,
Journal Year:
2023,
Volume and Issue:
3(9), P. 2402 - 2412
Published: Aug. 18, 2023
Directed
evolution
has
transformed
protein
engineering
offering
a
path
to
rapid
improvement
of
properties.
Yet,
in
practice
it
is
limited
by
the
hyper-astronomic
sequence
search
space,
and
approaches
identify
mutagenic
hot
spots,
i.e.,
locations
where
mutations
are
most
likely
have
productive
impact,
needed.
In
this
perspective,
we
categorize
discuss
recent
progress
experimental
(broadly
defined
as
structural,
bioinformatic,
dynamic)
spot
identification.
Recent
successes
harnessing
dynamics
machine
learning
provide
new
opportunities
for
field
will
undoubtedly
help
directed
reach
its
full
potential.
Acta Physica Sinica,
Journal Year:
2024,
Volume and Issue:
73(6), P. 069301 - 069301
Published: Jan. 1, 2024
<i>In
silico</i>
protein
calculation
has
been
an
important
research
subject
for
a
long
time,
while
its
recent
combination
with
machine
learning
promotes
the
development
greatly
in
related
areas.
This
review
focuses
on
four
major
fields
of
<i>in
that
combines
learning,
which
are
molecular
dynamics,
structure
prediction,
property
prediction
and
molecule
design.
Molecular
dynamics
depend
parameters
force
field,
is
necessary
obtaining
accurate
results.
Machine
can
help
researchers
to
obtain
more
field
parameters.
In
simulation,
also
perform
free
energy
relatively
low
cost.
Structure
generally
used
predict
given
sequence.
high
complexity
data
volume,
exactly
what
good
at.
By
scientists
have
gained
great
achievements
three-dimensional
proteins.
On
other
hand,
predicting
properties
based
known
information
study
protein.
More
challenging,
however,
Though
marching
made
breakthroughs
drug-like
small
design
years,
there
still
plenty
room
exploration.
summarizing
above
andlooks
forward
application
research.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: May 6, 2024
Abstract
Mutations
in
human
isocitrate
dehydrogenase
1
(IDH1)
drive
tumor
formation
a
variety
of
cancers
by
replacing
its
conventional
activity
with
neomorphic
that
generates
an
oncometabolite.
Little
is
understood
the
mechanistic
differences
among
tumor-driving
IDH1
mutants.
We
previously
reported
R132Q
mutant
unusually
preserves
while
catalyzing
robust
oncometabolite
production,
allowing
opportunity
to
compare
these
reaction
mechanisms
within
single
active
site.
Here,
we
employ
static
and
dynamic
structural
methods
observe
that,
compared
R132H,
site
adopts
conformation
primed
for
catalysis
optimized
substrate
binding
hydride
transfer
improved
over
R132H.
This
remodeling
reveals
possible
mechanism
resistance
selective
therapeutic
inhibitors.
work
enhances
our
understanding
fundamental
pinpointing
regions
improving
inhibitor
selectivity.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Aug. 24, 2023
Hydroxynitrile
lyase
from
rubber
tree
(HbHNL)
shares
45%
identical
amino
acid
residues
with
the
homologous
esterase
tobacco,
SABP2,
but
two
enzymes
catalyze
different
reactions.
The
x-ray
structures
reveal
a
serine-histidine-aspartate
catalytic
triad
in
both
along
several
differing
within
active
site.
Previous
exchange
of
three
site
HbHNL
corresponding
residue
SABP2
(T11G-E79H-K236M)
created
variant
HNL3,
which
showed
low
activity
toward
p-nitrophenyl
acetate.
Further
structure
comparison
reveals
additional
differences
surrounding
contains
an
improperly
positioned
oxyanion
hole
and
solvation
aspartate.
We
hypothesized
that
correcting
these
structural
would
impart
good
on
variant.
To
predict
substitutions
needed
to
correct
structure,
we
calculated
shortest
path
maps
for
correlated
movements
acids
enzymes.
Replacing
four
(C81L-N104T-V106F-G176S)
whose
are
connected
yielded
HNL7TV
(stabilizing
substitution
H103V
was
also
added),
efficiency
comparable
SABP2.
intermediate
variant,
HNL6V,
altered
aspartate
partially
corrected
hole.
This
dramatic
increase
demonstrates
ability
outside
contribute
activity.