Deciphering allosteric mechanisms in KRAS activation: insights from GTP-induced conformational dynamics and interaction network reorganization
Dongmei Zhao,
No information about this author
Jingyu Yang,
No information about this author
Meng-Ting Liu
No information about this author
et al.
RSC Advances,
Journal Year:
2025,
Volume and Issue:
15(3), P. 2261 - 2274
Published: Jan. 1, 2025
KRAS
activation
is
driven
by
GTP
binding,
leading
to
increased
flexibility
and
dynamic
network
reorganization.
This
study
highlights
the
critical
roles
of
switch
I,
II,
P-loop
in
mediating
allosteric
signaling
pathways.
Language: Английский
A review on description dynamics and conformational changes of proteins using combination of principal component analysis and molecular dynamics simulation
Sajad Moradi,
No information about this author
Amin Nowroozi,
No information about this author
Mohammad Aryaei Nezhad
No information about this author
et al.
Computers in Biology and Medicine,
Journal Year:
2024,
Volume and Issue:
183, P. 109245 - 109245
Published: Oct. 9, 2024
Language: Английский
Accurate Characterization of the Allosteric Energy Landscapes, Binding Hotspots and Long-Range Communications for KRAS Complexes with Effector Proteins : Integrative Approach Using Microsecond Molecular Dynamics, Deep Mutational Scanning of Binding Energetics and Allosteric Network Modeling
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 29, 2025
KRAS
is
a
pivotal
oncoprotein
that
regulates
cell
proliferation
and
survival
through
interactions
with
downstream
effectors
such
as
RAF1.
Oncogenic
mutations
in
KRAS,
including
G12V,
G13D,
Q61R,
drive
constitutive
activation
hyperactivation
of
signaling
pathways,
contributing
to
cancer
progression.
Despite
significant
advances
understanding
biology,
the
structural
dynamic
mechanisms
binding
allostery
by
which
oncogenic
enhance
KRAS-RAF1
remain
incompletely
understood.
In
this
study,
we
employ
microsecond
molecular
dynamics
simulations,
Markov
State
Modeling,
mutational
scanning
free
energy
calculations
together
network
modeling
elucidate
effect
characterize
thermodynamic
allosteric
drivers
hotspots
activation.
Our
simulations
revealed
stabilize
open
active
conformation
differentially
modulating
flexibility
switch
I
II
regions,
thereby
enhancing
RAF1
affinity.
The
G12V
mutation
rigidifies
both
II,
locking
stable,
state.
contrast,
G13D
moderately
reduces
while
increasing
dynamics,
restoring
balance
between
stability
flexibility.
Q61R
induces
more
complex
conformational
landscape,
characterized
increased
expansion
functional
macrostates,
promotes
prolonged
signaling.
Mutational
complexes
identified
key
affinity
hotspots,
Y40,
E37,
D38,
D33,
MM-GBSA
analysis
leverage
synergistic
electrostatic
hydrophobic
stabilizing
complexes.
Network-based
communication
identifies
critical
residues
(e.g.,
L6,
D57,
R97)
mediate
long-range
core
interface.
central
β-sheet
emerges
hub
for
transmitting
changes,
linking
distant
sites
facilitating
regulation.
Strikingly,
predicted
align
experimentally
define
landscape
allostery.
This
study
highlights
power
integrating
computational
experimental
data
unravel
its
mutants.
identification
routes
offers
new
opportunities
developing
targeted
therapies
disrupt
inhibit
results
underscore
potential
approaches
guide
design
inhibitors
mutant-specific
KRAS-driven
cancers.
Language: Английский
Large-Scale AI-Based Structure and Activity Prediction Analysis of ShK Domain Peptides from Sea Anemones in the South China Sea
Hua Zheng,
No information about this author
Li‐Min Lin,
No information about this author
Wanting Yang
No information about this author
et al.
Marine Drugs,
Journal Year:
2025,
Volume and Issue:
23(2), P. 85 - 85
Published: Feb. 16, 2025
Sea
anemone
peptides
represent
a
valuable
class
of
biomolecules
in
the
marine
toxin
library
due
to
their
various
structures
and
functions.
Among
these,
ShK
domain
are
particularly
notable
for
selective
inhibition
Kv1.3
channel,
holding
great
potential
applications
immune
regulation
treatment
metabolic
disorders.
However,
these
peptides'
structural
complexity
diversity
have
posed
challenges
functional
prediction.
In
this
study,
we
compared
36
from
four
species
sea
South
China
explored
binding
ability
with
channels
by
combining
molecular
docking
dynamics
simulation
studies.
Our
findings
highlight
that
variations
loop
length,
residue
composition,
charge
distribution
among
affect
stability
specificity.
This
work
presents
an
efficient
strategy
large-scale
peptide
structure
prediction
activity
screening,
providing
foundation
future
pharmacological
research.
Language: Английский
Dynamic Coupling and Entropy Changes in KRAS G12D Mutation: Insights into Molecular Flexibility, Allostery and Function
Journal of Molecular Biology,
Journal Year:
2025,
Volume and Issue:
unknown, P. 169075 - 169075
Published: March 1, 2025
Language: Английский
Atomistic Profiling of KRAS Interactions with Monobodies and Affimer Proteins Through Ensemble-Based Mutational Scanning Unveils Conserved Residue Networks Linking Cryptic Pockets and Regulating Mechanisms of Binding, Specificity and Allostery
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 14, 2025
KRAS,
a
historically
"undruggable"
oncogenic
driver,
has
eluded
targeted
therapies
due
to
its
lack
of
accessible
binding
pockets
in
active
state.
This
study
investigates
the
conformational
dynamics,
mechanisms,
and
allosteric
communication
networks
KRAS
complexes
with
monobodies
(12D1,
12D5)
affimer
proteins
(K6,
K3,
K69)
characterize
mechanisms
hotspots
binding.
Through
molecular
dynamics
simulations,
mutational
scanning,
free
energy
analysis
network-based
analyses,
we
identified
conserved
that
serve
as
critical
nodes
for
long-range
KRAS.
Key
residues
β-strand
4
(F78,
L80,
F82),
α-helix
3
(I93,
H95,
Y96),
5
(V114,
N116),
(Y157,
L159,
R164)
consistently
emerged
across
diverse
partners,
forming
contiguous
linking
functional
regions
Notably,
acts
central
hub
propagating
changes,
while
cryptic
pocket
centered
around
H95/Y96
positions
by
clinically
approved
inhibitors
was
universal
hotspot
both
allostery.
The
also
reveals
interplay
between
structural
rigidity
flexibility,
where
stabilization
one
region
induces
compensatory
flexibility
others,
reflecting
KRAS's
adaptability
perturbations.
We
found
stabilize
switch
II
disrupting
coupling
I
leading
enhanced
mobility
Similarly,
K3
leverages
α3-helix
hinge
point
amplify
effects
on
dynamics.
Mutational
scanning
highlighted
energetic
drivers
interactions.
revealing
key
residues,
including
H95
Y96
α3
helix,
major
contributors
affinity
selectivity.
Network
distant
sites.
predicted
strongly
aligned
experimental
data,
validating
robustness
computational
approach.
Despite
distinct
interfaces,
shared
highlight
infrastructure,
reinforcing
their
importance
signaling.
results
this
can
inform
rational
design
small-molecule
mimic
proteins,
challenging
reputation
Language: Английский
Molecular Dynamics Investigation into the Stability of KRas and CRaf Multimeric Complexes
Chao Geng,
No information about this author
Juan Zeng,
No information about this author
Xianming Deng
No information about this author
et al.
The Journal of Physical Chemistry B,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 24, 2025
In
the
Ras/Raf/MAPK
signaling
pathway,
Ras
and
Raf
proteins
interact
synergistically
to
form
a
tetrameric
complex.
NMR
experiments
have
demonstrated
that
dimerizes
in
solution
binds
stably
Raf,
forming
Ras·Raf
complexes.
this
study,
we
constructed
ternary
quaternary
complexes
of
KRas
CRaf
based
on
crystal
structures,
denoted
as
(KRas)2·CRaf
(KRas)2·(CRaf)2,
respectively.
Molecular
dynamics
(MD)
simulations
were
performed
investigate
stability
these
complexes,
while
hydrogen
bonds
well
salt
bridges
formed
at
protein–protein
interaction
interfaces
analyzed
simulation
trajectories.
The
results
revealed
KRas·CRaf
complex
is
more
stable
explicit
solvent
compared
with
dimer.
Formation
(KRas)2·(CRaf)2
might
be
attributed
association
two
binary
Additionally,
MD
KRasG12D·CRaf
extended
binding
site
KRas–CRaf
interface.
This
was
identified
potential
therapeutic
target
block
abnormal
signal
transmission
pathway.
Language: Английский