bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2022,
Volume and Issue:
unknown
Published: Dec. 21, 2022
Abstract
Amyotrophic
Lateral
Sclerosis
(ALS)
is
the
most
common
neurodegenerative
disease
affecting
motor
neurons.
The
pathophysiology
of
ALS
not
well
understood
but
TDP-43
proteinopathy
(aggregation
and
mislocalization)
one
major
phenomena
described.
Several
factors
can
influence
behavior
such
as
mild
pH
alterations
that
induce
conformational
changes
in
recombinant
TDP-43,
increasing
its
propensity
to
aggregate.
However
our
knowledge,
no
studies
have
been
conducted
yet
a
cellular
setting,
context
ALS.
We
therefore
tested
effect
on
localization
aggregation
TDP-43.
HEK293T
cells
overexpressing
wildtype
were
incubated
for
1h
with
solutions
different
(6.4,
7.2,
8).
Incubation
6.4
8
led
an
increase
TDP-43-positive
puncta,
was
lost
after
2h
incubation.
This
accompanied
by
mislocalization
from
nucleus
cytoplasm.
Our
resulats
suggest
small
affect
into
cytoplasmic
which
might
role
response
alterations.
Chemical Reviews,
Journal Year:
2024,
Volume and Issue:
124(13), P. 8550 - 8595
Published: June 17, 2024
Biomolecular
condensates,
formed
through
phase
separation,
are
upending
our
understanding
in
much
of
molecular,
cell,
and
developmental
biology.
There
is
an
urgent
need
to
elucidate
the
physicochemical
foundations
behaviors
properties
biomolecular
condensates.
Here
we
aim
fill
this
by
writing
a
comprehensive,
critical,
accessible
review
on
fundamental
aspects
phase-separated
We
introduce
relevant
theoretical
background,
present
basis
for
computation
experimental
measurement
condensate
properties,
give
mechanistic
interpretations
terms
interactions
at
molecular
residue
levels.
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: March 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.
The Journal of Physical Chemistry B,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 2, 2025
We
employ
a
multiscale
computational
approach
to
investigate
the
condensation
process
of
C-terminal
low-complexity
region
Caprin1
protein
as
function
increasing
ATP
concentration
for
three
states:
initial
mixed
state,
nanocondensate
formation,
and
dissolution
droplet
it
reenters
state.
show
that
upon
condensation,
assembles
via
pi-pi
interactions,
resulting
in
formation
large
cluster
stacked
molecules
stabilized
by
sodium
counterions.
The
surface
assembly
interacts
with
arginine-rich
regions
protein,
particularly
its
N-terminus,
promote
complete
phase-separated
on
length
scale
tens
nanometers.
In
order
understand
stability,
we
analyzed
near-surface
electrostatic
potential
(NS-ESP)
estimated
zeta
Caprin1-ATP
assemblies.
predict
positive
NS-ESP
at
low
concentrations
defines
early
excellent
agreement
obtained
from
NMR
experiments
using
paramagnetic
resonance
enhancement.
By
contrast,
moderate
levels
is
highly
negative
compared
estimates
outside
dense
charge
further
explain
remarkable
stability
this
assembly.
As
rise
further,
strong
forces
needed
are
replaced
weaker
interactions
drive
re-entry
into
state
exhibits
much
lower
potential.
Protein Science,
Journal Year:
2023,
Volume and Issue:
33(2)
Published: Dec. 31, 2023
TAR
DNA-binding
protein
43
(TDP-43)
is
a
multidomain
involved
in
the
regulation
of
RNA
metabolism,
and
its
aggregates
have
been
observed
neurodegenerative
diseases,
including
amyotrophic
lateral
sclerosis
(ALS)
frontotemporal
dementia
(FTD).
Numerous
studies
indicate
TDP-43
can
undergo
liquid-liquid
phase
separation
(LLPS)
vitro
component
biological
condensates.
Homo-oligomerization
via
folded
N-terminal
domain
(aa:1-77)
conserved
helical
region
(aa:319-341)
disordered,
C-terminal
found
to
be
an
important
driver
separation.
However,
comprehensive
molecular
view
separation,
particularly
regarding
nature
heterodomain
interactions,
lacking
due
challenges
associated
with
stability
purification.
Here,
we
utilize
all-atom
coarse-grained
(CG)
dynamics
(MD)
simulations
uncover
network
interdomain
interactions
implicated
All-atom
uncovered
presence
transient,
involving
flexible
linkers,
RNA-recognition
motif
(RRM)
domains
charged
segment
disordered
(CTD).
CG
these
inter-domain
which
affect
conformational
landscape
dilute
are
also
prevalent
condensed
phase.
Finally,
sequence
surface
charge
distribution
analysis
coupled
(at
high
salt)
confirmed
that
transient
contacts
predominantly
electrostatic
nature.
Overall,
our
findings
from
multiscale
lead
greater
appreciation
complex
interaction
underlying
structural
TDP-43.
Communications Chemistry,
Journal Year:
2024,
Volume and Issue:
7(1)
Published: July 3, 2024
Biomolecular
condensates
are
phase
separated
systems
that
play
an
important
role
in
the
spatio-temporal
organisation
of
cells.
Their
distinct
physico-chemical
nature
offers
a
unique
environment
for
chemical
reactions
to
occur.
The
compartmentalisation
is
also
believed
be
central
development
early
life.
To
demonstrate
how
molecular
dynamics
may
used
capture
condensates,
here
we
perform
reactive
simulations
using
coarse-grained
Martini
forcefield.
We
focus
on
formation
rings
benzene-1,3-dithiol
inside
synthetic
peptide-based
condensate,
and
find
ring
size
distribution
shifts
larger
macrocycles
compared
when
reaction
takes
place
aqueous
environment.
Moreover,
rates
noticeably
increased
peptides
simultaneously
undergo
separation,
hinting
act
as
chaperones
recruiting
molecules
hubs.
The Journal of Physical Chemistry Letters,
Journal Year:
2024,
Volume and Issue:
15(28), P. 7280 - 7287
Published: July 9, 2024
Liquid-liquid
phase
separation
(LLPS)
within
cells
gives
rise
to
membraneless
organelles,
which
play
pivotal
roles
in
numerous
cellular
functions.
A
comprehensive
understanding
of
the
functional
aspects
intrinsically
disordered
protein
(IDP)
condensates
necessitates
elucidating
their
inherent
structures
and
establishing
correlations
with
biological
Coarse-grained
(CG)
molecular
dynamics
(MD)
simulations
present
a
promising
avenue
for
gaining
insights
into
LLPS
mechanisms
biomacromolecules.
Essential
this
endeavor
is
development
tailored
CG
force
fields
MD
simulations,
incorporating
full
spectrum
biomolecules
involved
formation
accounting
real-time
biochemical
reactions
coupled
LLPS.
Moreover,
developing
accurate
theoretical
frameworks
links
between
condensate
structure
its
function
are
imperative
thorough
comprehension
systems.
Journal of Chemical Theory and Computation,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 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,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 26, 2025
As
molecular
modeling
gains
ever
more
prominence
in
understanding
cellular
processes,
high
quality
visualization
of
models
and
dynamics
has
never
been
important.
Naturally,
much
software
is
written
to
enable
the
atomic
level
details
structures.
While
necessary,
this
means
that
increasingly
popular
coarse-grained
(CG)
remains
a
challenge.
Here,
we
present
Python
package,
MartiniGlass,
facilitates
systems
simulated
with
widely
used
CG
Martini
force
field
using
package
VMD.
MartiniGlass
rapidly
processes
topologies
accounts
for
important
topological
features
at
resolution,
such
as
secondary
structure
restraints,
preparing
them
easy
trajectories.
Journal of Chemical Theory and Computation,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 25, 2025
Many
intrinsically
disordered
proteins
(IDPs)
can
undergo
a
liquid-liquid
phase
separation
(LLPS)
in
water,
depending
on
solution
conditions
(temperature,
pH,
and
ionic
strength).
There
are
two
types
of
LLPS
that
controlled
by
temperature:
those
occurring
above
lower
critical
temperature
(LCST)
below
an
upper
(UCST).
IDP
coarse-grained
(CG)
models
particularly
appropriate
for
investigating
the
physical
chemical
factors
govern
their
supramolecular
organization.
However,
development
CG
allowing
simulations
both
LCST
UCST
behavior
temperature-sensitive
IDPs
is
still
its
infancy.
In
this
context,
we
present
here
novel
temperature-dependent
(TD)
model
based
MARTINI
3
force
field.
The
was
developed
modifying
Lennard-Jones
potentials
between
apolar
or
charged
solute
beads
water
with
TD
rescaling
factor.
It
parametrized
to
fit
mean
(PMF)
molecules
computed
using
all-atom
(AA)
simulations.
We
show
able
reproduce
experimentally
known
low-complexity
sequences
estimate
transition
temperatures
comparable
experimental
measurements.