Journal of Chemical Information and Modeling,
Journal Year:
2022,
Volume and Issue:
63(1), P. 9 - 19
Published: Dec. 13, 2022
Proteases
are
major
drug
targets
for
many
viral
diseases.
However,
mutations
can
render
several
antiprotease
drugs
inefficient
rapidly
even
though
these
may
not
alter
protein
structures
significantly.
Understanding
relations
between
quickly
mutating
residues,
protease
structures,
and
the
dynamics
of
proteases
is
crucial
designing
potent
drugs.
Due
to
this
reason,
we
studied
evolutionary
information
on
residues
in
amino
acid
sequences
SARS-CoV-2
main
protease.
More
precisely,
analyzed
three
dynamical
quantities
(Schlitter
entropy,
root-mean-square
fluctuations,
flexibility
index)
their
relation
conservation
extracted
from
multiple
sequence
alignments
We
showed
that
a
quantifiable
similarity
be
built
sequence-based
quantity
called
Jensen–Shannon
those
quantities.
validated
diverse
set
32
different
proteins,
other
than
believe
establishing
kinds
quantitative
bridges
will
have
larger
implications
all
as
well
proteins.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 10, 2024
Abstract
The
main
protease
(M
pro
)
of
SARS-CoV-2
is
essential
for
viral
replication
and
is,
therefore,
an
important
drug
target.
Here,
we
investigate
two
flexible
loops
in
M
that
play
a
role
catalysis.
Using
all-atom
molecular
dynamics
simulations,
analyze
the
structural
ensemble
apo
state
substrate-bound
state.
We
find
can
adopt
open,
intermediate
(partly
open)
closed
conformations
solution,
which
differs
from
partially
observed
crystal
structures
.
When
are
or
states,
catalytic
residues
more
likely
to
be
close
proximity,
crucial
Additionally,
substrate
binding
one
protomer
homodimer
increases
fre-quency
states
bound
protomer,
while
also
affecting
propensity
protomer’s
loops.
dynamic
network
analysis,
identify
multiple
allosteric
pathways
connecting
active
sites
homodimer.
Common
these
hotspot
involving
N-terminus,
critical
region
comprises
part
pocket.
Taken
together,
results
our
simulation
study
provide
detailed
insight
into
relationships
between
prime
target
COVID-19.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Sept. 15, 2023
We
integrate
evolutionary
predictions
based
on
the
neutral
theory
of
molecular
evolution
with
protein
dynamics
to
generate
mechanistic
insight
into
adaptations
SARS-COV-2
Spike
(S)
protein.
With
this
approach,
we
first
identified
Candidate
Adaptive
Polymorphisms
(CAPs)
SARS-CoV-2
and
assessed
impact
these
CAPs
through
analysis.
Not
only
have
found
that
frequently
overlap
well-known
functional
sites,
but
also,
using
several
different
dynamics-based
metrics,
reveal
critical
allosteric
interplay
between
S
binding
sites
human
ACE2
(hACE2)
interact
far
differently
hACE2
site
residues
in
open
conformation
compared
closed
form.
In
particular,
CAP
control
state,
suggesting
an
binding.
also
explored
characteristic
mutations
strains
find
dynamic
hallmarks
potential
effects
future
mutations.
Our
analyses
Delta
strain-specific
variants
non-additive
(i.e.,
epistatic)
interactions
whereas
less
pathogenic
Omicron
mostly
additive
Finally,
our
analysis
suggests
novel
observed
strain
epistatically
help
escape
antibody
We
integrate
evolutionary
predictions
based
on
the
neutral
theory
of
molecular
evolution
with
protein
dynamics
to
generate
mechanistic
insight
into
adaptations
SARS-COV-2
Spike
(S)
protein.
With
this
approach,
we
first
identified
Candidate
Adaptive
Polymorphisms
(CAPs)
SARS-CoV-2
and
assessed
impact
these
CAPs
through
analysis.
Not
only
have
found
that
frequently
overlap
well-known
functional
sites,
but
also,
using
several
different
dynamics-based
metrics,
reveal
critical
allosteric
interplay
between
S
binding
sites
human
ACE2
(hACE2)
interact
far
differently
hACE2
site
residues
in
open
conformation
compared
closed
form.
In
particular,
CAP
control
state,
suggesting
an
binding.
also
explored
characteristic
mutations
strains
find
dynamic
hallmarks
potential
effects
future
mutations.
Our
analyses
Delta
strain-specific
variants
non-additive
(i.e.,
epistatic)
interactions
whereas
less
pathogenic
Omicron
mostly
additive
Finally,
our
analysis
suggests
novel
observed
strain
epistatically
help
escape
antibody
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 22, 2024
In
allosteric
proteins,
identifying
the
pathways
that
signals
take
from
ligand-binding
sites
to
enzyme
active
or
binding
pockets
and
interfaces
remains
challenging.
This
avenue
of
research
is
motivated
by
goals
understanding
particular
macromolecular
systems
interest
creating
general
methods
for
their
study.
An
especially
important
protein
subject
many
investigations
in
allostery
SARS-CoV-2
main
protease
(Mpro),
which
necessary
coronaviral
replication.
It
both
an
attractive
drug
target
and,
due
intense
it
development
pharmaceutical
compounds,
a
gauge
state-of-the-art
approaches
studying
inhibition.
Here
we
develop
computational
method
characterizing
use
study
Mpro.
We
propose
role
protein's
C-terminal
tail
modulation
warn
unintuitive
traps
can
plague
studies
dihedrals
angles
transmitting
signals.
We
integrate
evolutionary
predictions
based
on
the
neutral
theory
of
molecular
evolution
with
protein
dynamics
to
generate
mechanistic
insight
into
adaptations
SARS-COV-2
Spike
(S)
protein.
With
this
approach,
we
first
identified
Candidate
Adaptive
Polymorphisms
(CAPs)
SARS-CoV-2
and
assessed
impact
these
CAPs
through
analysis.
Not
only
have
found
that
frequently
overlap
well-known
functional
sites,
but
also,
using
several
different
dynamics-based
metrics,
reveal
critical
allosteric
interplay
between
S
binding
sites
human
ACE2
(hACE2)
interact
far
differently
hACE2
site
residues
in
open
conformation
compared
closed
form.
In
particular,
CAP
control
state,
suggesting
an
binding.
also
explored
characteristic
mutations
strains
find
dynamic
hallmarks
potential
effects
future
mutations.
Our
analyses
Delta
strain-specific
variants
non-additive
(i.e.,
epistatic)
interactions
whereas
less
pathogenic
Omicron
mostly
compensatory
variants.
Finally,
our
analysis
suggests
novel
observed
strain
epistatically
help
escape
antibody
Journal of Chemical Information and Modeling,
Journal Year:
2022,
Volume and Issue:
63(1), P. 9 - 19
Published: Dec. 13, 2022
Proteases
are
major
drug
targets
for
many
viral
diseases.
However,
mutations
can
render
several
antiprotease
drugs
inefficient
rapidly
even
though
these
may
not
alter
protein
structures
significantly.
Understanding
relations
between
quickly
mutating
residues,
protease
structures,
and
the
dynamics
of
proteases
is
crucial
designing
potent
drugs.
Due
to
this
reason,
we
studied
evolutionary
information
on
residues
in
amino
acid
sequences
SARS-CoV-2
main
protease.
More
precisely,
analyzed
three
dynamical
quantities
(Schlitter
entropy,
root-mean-square
fluctuations,
flexibility
index)
their
relation
conservation
extracted
from
multiple
sequence
alignments
We
showed
that
a
quantifiable
similarity
be
built
sequence-based
quantity
called
Jensen–Shannon
those
quantities.
validated
diverse
set
32
different
proteins,
other
than
believe
establishing
kinds
quantitative
bridges
will
have
larger
implications
all
as
well
proteins.