Atomistic Prediction of Structures, Conformational Ensembles and Binding Energetics for the SARS-CoV-2 Spike JN.1, KP.2 and KP.3 Variants Using AlphaFold2 and Molecular Dynamics Simulations: Mutational Profiling and Binding Free Energy Analysis Reveal Epistatic Hotspots of the ACE2 Affinity and Immune Escape
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 10, 2024
Abstract
The
most
recent
wave
of
SARS-CoV-2
Omicron
variants
descending
from
BA.2
and
BA.2.86
exhibited
improved
viral
growth
fitness
due
to
convergent
evolution
functional
hotspots.
These
hotspots
operate
in
tandem
optimize
both
receptor
binding
for
effective
infection
immune
evasion
efficiency,
thereby
maintaining
overall
fitness.
lack
molecular
details
on
structure,
dynamics
energetics
the
latest
FLiRT
FLuQE
with
ACE2
antibodies
provides
a
considerable
challenge
that
is
explored
this
study.
We
combined
AlphaFold2-based
atomistic
predictions
structures
conformational
ensembles
Spike
complexes
host
dominant
JN.1,
KP.1,
KP.2
KP.3
examine
mechanisms
underlying
role
balancing
antibody
evasion.
Using
ensemble-based
mutational
scanning
spike
protein
residues
computations
affinities,
we
identified
energy
characterized
basis
epistatic
couplings
between
results
suggested
existence
interactions
sites
at
L455,
F456,
Q493
positions
enable
protect
restore
affinity
while
conferring
beneficial
escape.
To
escape
mechanisms,
performed
structure-based
profiling
several
classes
displayed
impaired
neutralization
against
BA.2.86,
KP.3.
confirmed
experimental
data
harboring
L455S
F456L
mutations
can
significantly
impair
neutralizing
activity
class-1
monoclonal
antibodies,
effects
mediated
by
facilitate
subsequent
convergence
Q493E
changes
rescue
binding.
Structural
energetic
analysis
provided
rationale
showing
BD55-5840
BD55-5514
bind
different
epitopes
retain
efficacy
all
examined
support
notion
may
favor
emergence
lineages
combinations
involving
mediators
control
balance
high
Language: Английский
Physiological cost of antibiotic resistance: Insights from a ribosome variant in bacteria
Science Advances,
Journal Year:
2024,
Volume and Issue:
10(46)
Published: Nov. 15, 2024
Antibiotic-resistant
ribosome
variants
arise
spontaneously
in
bacterial
populations;
however,
their
impact
on
the
overall
physiology
remains
unclear.
We
studied
naturally
arising
antibiotic-resistant
L22*
variant
of
Bacillus
subtilis
and
identified
a
Mg
2+
-dependent
physiological
cost.
Coculture
competition
experiments
show
that
limitation
hinders
growth
more
than
wild
type
(WT),
even
under
antibiotic
pressure.
This
disadvantage
cells
is
not
due
to
lower
abundance
but
rather
reduced
intracellular
levels.
Coarse-grained
elastic-network
modeling
conformational
dynamics
suggests
ribosomes
associate
tightly
with
when
compared
WT.
combined
structural
experimental
measurements
steady-state
model
predict
cellular
adenosine
5′-triphosphate
(ATP)
levels,
which
also
depend
.
Experiments
confirmed
predicted
ATP
drop
limitation,
while
WT
were
less
affected.
Intracellular
for
finite
pool
can
thus
suppress
establishment
an
variant.
Language: Английский