bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: May 4, 2023
In
this
study,
we
systematically
examine
the
conformational
dynamics,
binding
and
allosteric
communications
in
Omicron
BA.1,
BA.2,
BA.3
BA.4/BA.5
complexes
with
ACE2
host
receptor
using
molecular
dynamics
simulations
perturbation-based
network
profiling
approaches.
Microsecond
atomistic
provided
a
detailed
characterization
of
landscapes
revealed
increased
thermodynamic
stabilization
BA.2
variant
which
is
contrasted
variants
inducing
significant
mobility
complexes.
Using
ensemble-based
mutational
scanning
interactions,
identified
affinity
structural
stability
hotspots
Perturbation
response
network-based
approaches
probed
effect
on
communications.
The
results
analysis
specific
roles
mutations
as
"plastic
evolutionary
adaptable"
modulators
allostery
are
coupled
to
major
regulatory
positions
through
interaction
networks.
Through
perturbation
residue
potentials
complexes,
performed
background
original
strain,
that
key
N501Y
Q498R
could
mediate
interactions
epistatic
couplings.
Our
suggested
synergistic
role
these
controlling
stability,
can
enable
for
compensatory
balance
fitness
tradeoffs
conformationally
adaptable
immune-escape
mutations.
integrative
computational
approaches,
study
provides
systematic
effects
thermodynamics,
signaling
receptor.
findings
support
mechanism
evolve
adaptability
order
ensure
proper
tradeoff
between
immune
escape.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2022,
Volume and Issue:
unknown
Published: Dec. 2, 2022
Abstract
In
the
current
study,
multiscale
simulation
approaches
and
dynamic
network
methods
are
employed
to
examine
energetic
details
of
conformational
landscapes
allosteric
interactions
in
ABL
kinase
domain
that
determine
functions.
Using
a
plethora
synergistic
computational
approaches,
we
elucidate
how
transitions
between
active
inactive
states
can
employ
regulatory
switches
modulate
intramolecular
communication
networks
ATP
site,
substrate
binding
region,
pocket.
A
perturbation-based
approach
implements
mutational
profiling
residue
propensities
communications
is
proposed.
Consistent
with
biophysical
experiments,
results
reveal
functionally
significant
shifts
interaction
which
preferential
paths
site
regions
state
become
suppressed
closed
form,
turn
features
favorable
couplings
By
integrating
atomistic
simulations
dimensionality
reduction
Markov
models
analyze
mechanistic
role
macrostates
characterize
kinetic
states.
network-based
scanning
propensities,
this
study
provides
comprehensive
analysis
long-range
identifies
conserved
hotspots
activity
cross-talk
pocket,
regions.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 20, 2024
Abstract
The
growing
body
of
experimental
and
computational
studies
suggested
that
the
cross-neutralization
antibody
activity
against
Omicron
variants
may
be
driven
by
balance
tradeoff
multiple
energetic
factors
interaction
contributions
evolving
escape
hotspots
involved
in
antigenic
drift
convergent
evolution.
However,
dynamic
details
quantifying
contribution
these
factors,
particularly
balancing
nature
specific
interactions
formed
antibodies
with
epitope
residues
remain
scarcely
characterized.
In
this
study,
we
performed
molecular
dynamics
simulations,
ensemble-based
deep
mutational
scanning
SARS-CoV-2
spike
binding
free
energy
computations
for
two
distinct
groups
broadly
neutralizing
:
E1
group
(BD55-3152,
BD55-3546
BD5-5840)
F3
(BD55-3372,
BD55-4637
BD55-5514).
Using
approaches,
examine
determinants
which
potent
can
largely
evade
immune
resistance.
Our
analysis
revealed
emergence
a
small
number
positions
correspond
to
R346
K444
strong
van
der
Waals
act
synchronously
leading
large
contribution.
According
our
results,
Abs
effectively
exploit
hotspot
clusters
hydrophobic
sites
critical
functions
along
selective
complementary
targeting
positively
charged
are
important
ACE2
binding.
Together
conserved
epitopes,
lead
expanded
neutralization
breadth
resilience
shift
associated
viral
results
study
demonstrate
excellent
qualitative
agreement
between
predicted
mutations
respect
latest
experiments
on
average
scores.
We
argue
epitopes
leverage
stability
binding,
while
tend
emerge
synergistically
electrostatic
interactions.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2022,
Volume and Issue:
unknown
Published: June 19, 2022
Abstract
In
this
study,
we
combined
all-atom
MD
simulations,
the
ensemble-based
mutational
scanning
of
protein
stability
and
binding,
perturbation-based
network
profiling
allosteric
interactions
in
SARS-Cov-2
Spike
complexes
with
a
panel
cross-reactive
ultra-potent
single
antibodies
(B1-182.1
A23-58.1)
as
well
antibody
combinations
(A19-61.1/B1-182.1
A19-46.1/B1-182.1).
Using
approach,
quantify
local
global
effects
mutations
complexes,
identify
structural
centers,
characterize
binding
energy
hotspots
predict
control
points
long-range
communications.
Conformational
dynamics
distance
fluctuation
analysis
revealed
antibody-specific
signatures
spike
that
can
dictate
pattern
escape.
By
employing
an
integrated
conformational
energetics,
found
potent
efficiently
neutralize
Omicron
variant
form
dominant
hotpots
conserved
centers
which
may
be
restricted
by
requirements
folding
to
host
receptor.
The
results
show
energetics
SARS-CoV-2
ultrapotent
are
tolerant
constellation
mutations.
A
network-based
perturbation
approach
for
residues
potentials
how
modulate
identified
vulnerable
sites
This
study
suggested
mechanism
specific
escape
mutants
not
solely
determined
interaction
changes
but
driven
complex
balance
tradeoffs
between
different
factors
including
impact
on
stability,
strength,
fidelity
signaling.
Biomolecules,
Journal Year:
2022,
Volume and Issue:
12(7), P. 964 - 964
Published: July 10, 2022
In
this
study,
we
combined
all-atom
MD
simulations,
the
ensemble-based
mutational
scanning
of
protein
stability
and
binding,
perturbation-based
network
profiling
allosteric
interactions
in
SARS-CoV-2
spike
complexes
with
a
panel
cross-reactive
ultra-potent
single
antibodies
(B1-182.1
A23-58.1)
as
well
antibody
combinations
(A19-61.1/B1-182.1
A19-46.1/B1-182.1).
Using
approach,
quantify
local
global
effects
mutations
complexes,
identify
centers,
characterize
binding
energy
hotspots,
predict
control
points
long-range
communications.
Conformational
dynamics
distance
fluctuation
analysis
revealed
antibody-specific
signatures
flexibility
that
can
affect
pattern
escape.
A
network-based
perturbation
approach
for
residue
potentials
how
modulate
identified
form
vulnerable
sites
The
results
show
energetics
ultrapotent
are
tolerant
to
effect
Omicron
mutations,
which
may
be
related
their
neutralization
efficiency.
By
employing
an
integrated
conformational
dynamics,
energetics,
interactions,
found
neutralize
variant
mediate
dominant
hotpots
conserved
centers
restricted
by
requirements
folding
host
receptor.
This
study
suggested
mechanism
patterns
escape
mutants
not
solely
determined
interaction
changes
but
associated
balance
tradeoffs
multiple
factors,
including
stability,
affinity,
interactions.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: May 4, 2023
In
this
study,
we
systematically
examine
the
conformational
dynamics,
binding
and
allosteric
communications
in
Omicron
BA.1,
BA.2,
BA.3
BA.4/BA.5
complexes
with
ACE2
host
receptor
using
molecular
dynamics
simulations
perturbation-based
network
profiling
approaches.
Microsecond
atomistic
provided
a
detailed
characterization
of
landscapes
revealed
increased
thermodynamic
stabilization
BA.2
variant
which
is
contrasted
variants
inducing
significant
mobility
complexes.
Using
ensemble-based
mutational
scanning
interactions,
identified
affinity
structural
stability
hotspots
Perturbation
response
network-based
approaches
probed
effect
on
communications.
The
results
analysis
specific
roles
mutations
as
"plastic
evolutionary
adaptable"
modulators
allostery
are
coupled
to
major
regulatory
positions
through
interaction
networks.
Through
perturbation
residue
potentials
complexes,
performed
background
original
strain,
that
key
N501Y
Q498R
could
mediate
interactions
epistatic
couplings.
Our
suggested
synergistic
role
these
controlling
stability,
can
enable
for
compensatory
balance
fitness
tradeoffs
conformationally
adaptable
immune-escape
mutations.
integrative
computational
approaches,
study
provides
systematic
effects
thermodynamics,
signaling
receptor.
findings
support
mechanism
evolve
adaptability
order
ensure
proper
tradeoff
between
immune
escape.