The Journal of Physical Chemistry B,
Год журнала:
2024,
Номер
128(41), С. 9935 - 9946
Опубликована: Окт. 5, 2024
Macrophage
inducible
Ca2+-dependent
lectin
(Mincle)
receptor
recognizes
Mycobacterium
tuberculosis
glycolipids
to
trigger
an
immune
response.
This
host
membrane
is
thus
a
key
player
in
the
modulation
of
response
infection
by
M.
and
has
emerged
as
promising
target
for
development
new
vaccines
against
tuberculosis.
The
recent
Martini
3
force
field
coarse-grained
(CG)
molecular
modeling
allows
study
interactions
soluble
proteins
with
small
ligands
which
was
not
typically
modeled
well
previous
2
model.
Here,
we
present
refined
approach
detailing
protocol
between
glycolipid
its
at
CG
level
using
field.
Using
this
approach,
studied
Mincle
identified
critical
parameters
governing
ligand
recognition,
such
loop
flexibility
regulation
hydrophobic
groove
formation
calcium
ions.
In
addition,
assessed
affinity
free
energy
perturbation
calculations.
Our
results
offer
mechanistic
insight
into
glycolipids,
providing
basis
rational
design
molecules
targeting
type
receptors.
Nature Communications,
Год журнала:
2025,
Номер
16(1)
Опубликована: Март 24, 2025
Coarse-grained
(CG)
molecular
dynamics
(MD)
is
widely
used
for
the
efficient
simulation
of
intrinsically
disordered
proteins
(IDPs).
The
Martini
model,
one
most
popular
CG
force
fields
in
biomolecular
simulation,
was
reported
to
yield
too
compact
IDP
conformations,
limiting
its
applications.
Addressing
this,
we
optimized
bonded
parameters
based
on
fitting
reference
simulations
a
diverse
set
IDPs
at
atomistic
resolution,
resulting
Martini3-based
protein
model
coined
Martini3-IDP.
This
leads
expanded
greatly
improving
reproduction
experimentally
measured
radii
gyration.
Moreover,
contrary
ad-hoc
fixes
scaling
protein-protein
or
protein-water
interactions,
Martini3-IDP
keeps
overall
interaction
balance
underlying
3.
To
validate
that,
perform
comprehensive
testing
including
full-length
multidomain
proteins,
IDP-lipid
membrane
binding
and
IDP-small
molecule
binding,
confirming
ability
successfully
capture
complex
interplay
between
components.
Finally,
recently
emerging
concept
condensate,
through
liquid-liquid
phase
separation,
also
reproduced
by
number
both
homotypic
heterotypic
systems.
With
improved
expand
simulate
processes
involving
environments,
spatio-temporal
scales
inaccessible
with
all-atom
models.
Here,
authors
introduce
Martini3-IDP,
refined
that
addresses
prior
over-compact
structures.
Validated
across
systems,
it
captures
interactions
condensates.
Journal of Chemical Theory and Computation,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 5, 2024
Coarse-grained
molecular
dynamics
simulations
enable
the
modeling
of
increasingly
complex
systems
at
millisecond
timescales.
The
transferable
coarse-grained
force
field
Martini
3
has
shown
great
promise
in
a
wide
range
biochemical
processes,
yet
folded
proteins
are
not
stable
without
application
external
bias
potentials,
such
as
elastic
networks
or
Go̅-like
models.
We
herein
develop
an
algorithm,
called
OLIVES,
which
identifies
native
contacts
with
hydrogen
bond
capabilities
and
use
it
to
implement
novel
model
for
3.
show
that
protein
structure
instability
originates
part
from
lack
energy
representation.
By
using
realistic
energies
obtained
literature
ab
initio
calculations,
is
demonstrated
stability
can
be
recovered
by
reintroduction
network
OLIVES
removes
need
secondary
restraints.
validated
against
known
complexes
same
time
addresses
open
question
whether
there
quaternary
simulations.
It
reduce
number
terms,
hereby
speeding
up
≈30%
on
GPU
architecture
compared
established
Go̅MARTINI
model.
Journal of Chemical Theory and Computation,
Год журнала:
2024,
Номер
20(21), С. 9673 - 9686
Опубликована: Ноя. 4, 2024
The
MARTINI
force
field
is
one
of
the
most
used
coarse-grained
models
for
biomolecular
simulations.
Many
limitations
model
including
protein-protein
overaggregation
have
been
improved
in
its
latest
version,
MARTINI-3.
In
this
study,
we
investigate
efficacy
MARTINI-3
parameters
capturing
interactions
peripheral
proteins
with
plasma
membranes.
Particularly,
consider
two
classes
proteins,
namely,
annexin
and
epsin,
which
are
known
to
generate
negative
positive
membrane
curvatures,
respectively.
We
find
that
current
not
able
correctly
describe
protein-membrane
interface
protein-induced
curvatures
any
these
proteins.
problem
arises
due
lack
proper
hydrophobic
between
protein
residues
lipid
tails.
Making
systematic
adjustments,
show
a
combination
reduction
protein-water
enhancement
protein-lipid
essential
accurate
prediction
interfacial
structure
curvature.
Next,
apply
our
couple
other
Snf7,
core
component
ESCRT-III
complex,
PH
domain
evectin-2.
captures
much
more
accurately
than
all
considered
study.
However,
strategy
described
study
may
be
suitable
oligomeric
transmembrane
where
should
increased
instead
interactions.
Journal of Experimental Botany,
Год журнала:
2024,
Номер
75(17), С. 5237 - 5250
Опубликована: Май 16, 2024
Abstract
The
delineation
of
protein–lipid
interfaces
is
essential
for
understanding
the
mechanisms
various
membrane-associated
processes
crucial
to
plant
development
and
growth,
including
signalling,
trafficking,
membrane
transport.
Due
their
highly
dynamic
nature,
precise
characterization
lipid–protein
interactions
by
experimental
techniques
challenging.
Molecular
dynamics
simulations
provide
a
powerful
computational
alternative
with
spatial–temporal
resolution
allowing
atomistic-level
description.
In
this
review,
we
aim
introduce
scientists
molecular
simulations.
We
describe
different
steps
performing
broad
survey
studies
investigating
interfaces.
Our
also
illustrate
that
combining
artificial
intelligence-based
protein
structure
determination
opens
up
unprecedented
possibilities
future
investigations
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 2, 2025
Abstract
The
phase
separation
of
lipid
bilayers,
composed
mixtures
saturated
and
unsaturated
lipids
cholesterol,
is
a
topic
fundamental
importance
in
membrane
biophysics
cell
biology.
formation
domains,
including
liquid-disordered
domains
enriched
liquid-ordered
cholesterol
believed
to
be
essential
the
function
many
proteins.
Experiment,
theory,
simulation
have
been
used
develop
general
understanding
thermodynamic
driving
forces
underlying
ternary
quaternary
mixtures.
However,
kinetics
early
events
presence
transmembrane
proteins
remain
relatively
understudied.
Using
large-scale
all-atom
coarse-grained
simulations,
we
explore
lipid,
cholesterol.
Order
parameters
employed
Cahn-Hilliard
theory
provide
insight
into
mechanism
separation.
We
observe
three
distinct
time
regimes
process:
shorter
exponential
followed
by
power
law
longer
plateau
phase.
Comparison
protein
lipid-protein
dynamics
between
models
identifies
both
quantitative
qualitative
differences
similarities
kinetics.
Moreover,
timescaling
AA
CG
yields
similar
kinetic
findings
this
study
elucidate
aspects
ongoing
efforts
define
role
rafts
structure
cellular
membrane.
Journal of Chemical Theory and Computation,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 25, 2025
Peptide-based
coacervates
are
crucial
for
drug
delivery
due
to
their
biocompatibility,
versatility,
high
loading
capacity,
and
cell
penetration
rates;
however,
stability
mechanism
phase
behavior
not
fully
understood.
Additionally,
although
Martini
is
one
of
the
most
famous
force
fields
capable
describing
coacervate
formation
with
molecular
details,
a
comprehensive
benchmark
its
accuracy
has
been
conducted.
This
research
utilized
3.0
field
machine
learning
algorithms
explore
representative
peptide-based
coacervates,
including
those
composed
polyaspartate
(PAsp)/polyarginine
(PArg),
rmfp-1,
sticker-and-spacer
small
molecules,
HBpep
molecules.
We
identified
key
driving
forces
such
as
Coulomb,
cation–π,
π–π
interactions
established
three
criteria
determining
in
simulations.
The
results
also
indicate
that
while
accurately
captures
trends,
it
tends
underestimate
Coulomb
overestimate
interactions.
What
more,
our
study
on
encapsulation
derivative
suggested
loaded
drugs
were
distributed
surfaces
clusters,
awaiting
experimental
validation.
employs
simulation
enhance
understanding
mechanisms
benchmarking
3.0,
thereby
providing
fundamental
insights
future
investigations.
Journal of Chemical Information and Modeling,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 24, 2025
The
high
doses
of
drugs
required
for
biotherapeutics,
such
as
monoclonal
antibodies
(mAbs),
and
the
small
volumes
that
can
be
administered
to
patients
by
subcutaneous
injections
pose
challenges
due
high-concentration
formulations.
addition
excipients,
arginine
glutamate,
protein
formulations
increase
solubility
reduce
tendency
particle
formation.
Molecular
dynamics
(MD)
simulations
provide
microscopic
insights
into
mode
action
excipients
in
mAb
but
require
large
system
sizes
long
time
scales
are
currently
beyond
reach
at
fully
atomistic
level.
Computationally
efficient
coarse-grained
models
Martini
3
force
field
tackle
this
challenge
careful
parametrization,
testing,
validation.
This
study
extends
popular
toward
realistic
protein–excipient
interactions
glutamate
using
Fab
domains
therapeutic
mAbs
trastuzumab
omalizumab
model
systems.
A
novel
all-atom
mapping
amino
acid
is
introduced,
which
explicitly
captures
zwitterionic
character
backbone.
Fab–excipient
characterized
concerning
molecular
contacts
with
Fabs
single-residue
compared
results
from
a
reference.
Our
findings
reveal
an
overestimation
default
interaction
parameters
3,
suggesting
too
strong
attraction
between
residues
excipients.
Therefore,
we
reparametrized
against
simulations.
excipient
obtained
new
Lennard-Jones
(LJ)
parameters,
coined
3-exc,
agree
closely
reference
data.
work
presents
improved
parameter
set
mAb-arginine
mAb-glutamate
field,
key
step
large-scale
MD
stabilizing
effects
Journal of Chemical Theory and Computation,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 15, 2025
The
phase
separation
of
lipid
bilayers,
composed
mixtures
saturated
and
unsaturated
lipids
cholesterol,
is
a
topic
fundamental
importance
in
membrane
biophysics
cell
biology.
formation
domains,
including
liquid-disordered
domains
enriched
liquid-ordered
believed
to
be
essential
the
function
many
proteins.
Experiment,
theory,
simulation
have
been
used
develop
general
understanding
thermodynamic
driving
forces
underlying
ternary
quaternary
mixtures.
However,
kinetics
early
events
presence
transmembrane
proteins
remain
relatively
understudied.
Using
large-scale
all-atom
coarse-grained
simulations,
we
explore
lipid,
cholesterol
Order
parameters
employed
Cahn-Hilliard
theory
provide
insight
into
mechanism
separation.
We
observe
three
distinct
time
regimes
process:
shorter
exponential
phase,
followed
by
power-law
then
longer
plateau
phase.
Comparison
protein,
lipid-protein
dynamics
between
models
identifies
both
quantitative
qualitative
differences
similarities
kinetics.
Moreover,
timescaling
AA
CG
simulations
yields
similar
kinetic
findings
this
study
elucidate
aspects
contribute
ongoing
efforts
define
role
rafts
structure
cellular
membrane.
Highlights•A
second
PIP
binding
site
was
identified
in
the
AKT
PH
domain•Both
sites
are
necessary
for
a
stable
orientation
of
membrane•Mutation
either
stops
membrane
localization
and
phosphorylationSummaryAlmost
four
decades
after
identification
protein
understanding
its
role
cancer,
barriers
remain
translation
inhibitors
clinical
applications.
Here,
we
provide
new
molecular
insight
into
first
step
activation
where
binds
to
plasma
is
stabilized
bilayer
with
lateral
heterogeneity
(Lo-Ld
phase
coexistence).
We
have
applied
dynamic
simulations
cell
biology
approaches,
demonstrate
that
recruitment
requires
pleckstrin
homology
(PH)
domain
acts
cooperatively
known
canonical
site.
Given
precision
which
protein-lipid
interactions,
study
offers
directions
AKT-targeted
therapy
testing
small
molecules
target
these
specific
amino
acid-PIP
bonds.Graphical
abstract
Journal of Materials Chemistry B,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 12, 2024
This
review
highlights
the
integration
of
various
experimental
and
computational
methods
to
control
amyloid
aggregation
process.
We
believe
that
this
article
will
help
researchers
develop
novel
therapeutic
influence
protein
aggregation.