bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2022,
Номер
unknown
Опубликована: Ноя. 22, 2022
Abstract
Genetic
drift
in
infectious
disease
transmission
results
from
randomness
of
and
host
recovery
or
death.
The
strength
genetic
for
SARS-CoV-2
is
expected
to
be
high
due
levels
superspreading,
this
substantially
impact
epidemiology
evolution.
However,
we
don’t
yet
have
an
understanding
how
changes
over
time
across
locations.
Furthermore,
noise
that
data
collection
can
potentially
confound
estimates
drift.
To
address
challenge,
develop
validate
a
method
jointly
infer
measurement
time-series
lineage
frequency
data.
Our
highly
scalable
increasingly
large
genomic
datasets,
which
overcomes
limitation
commonly
used
phylogenetic
methods.
We
apply
490,000
sequences
England
collected
between
March
2020
December
2021
by
the
COVID-19
Genomics
UK
(COG-UK)
consortium
separately
pre-B.1.177,
B.1.177,
Alpha,
Delta.
find
even
after
correcting
noise,
consistently,
throughout
time,
higher
than
observed
number
positive
individuals
1
3
orders
magnitude,
cannot
explained
literature
values
superspreading.
will
informative
parameterizing
evolutionary
models
studying
potential
mechanisms
increased
Author
Summary
pathogens
like
strongly
affected
chance
effects
contact
process
infected
susceptible
individuals,
collectively
referred
as
random
incomplete
gap,
developed
computational
infers
series
corrects
non-biological
computationally
numbers
available
SARS-CoV-2,
overcoming
major
challenge
existing
Using
method,
quantified
These
constrain
help
parameterize
More
generally,
scalability
our
become
more
important
datasets
common.
Knowledge
of
the
fitness
effects
mutations
to
SARS-CoV-2
can
inform
assessment
new
variants,
design
therapeutics
resistant
escape,
and
understanding
functions
viral
proteins.
However,
experimentally
measuring
is
challenging:
we
lack
tractable
lab
assays
for
many
proteins,
comprehensive
deep
mutational
scanning
has
been
applied
only
two
Here,
develop
an
approach
that
leverages
millions
publicly
available
sequences
estimate
mutations.
We
first
calculate
how
independent
occurrences
each
mutation
are
expected
be
observed
along
phylogeny
in
absence
selection.
then
compare
these
observations
actual
effect
mutation.
These
estimates
correlate
well
with
measurements.
For
most
genes,
synonymous
nearly
neutral,
stop-codon
deleterious,
amino
acid
have
a
range
effects.
some
accessory
proteins
under
little
no
provide
interactive
visualizations
all
(https://jbloomlab.github.io/SARS2-mut-fitness/).
The
framework
describe
applicable
any
virus
which
number
sufficiently
large
neutral
observed.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 31, 2023
Knowledge
of
the
fitness
effects
mutations
to
SARS-CoV-2
can
inform
assessment
new
variants,
design
therapeutics
resistant
escape,
and
understanding
functions
viral
proteins.
However,
experimentally
measuring
is
challenging:
we
lack
tractable
lab
assays
for
many
proteins,
comprehensive
deep
mutational
scanning
has
been
applied
only
two
Here
develop
an
approach
that
leverages
millions
publicly
available
sequences
estimate
mutations.
We
first
calculate
how
independent
occurrences
each
mutation
are
expected
be
observed
along
phylogeny
in
absence
selection.
then
compare
these
observations
actual
effect
mutation.
These
estimates
correlate
well
with
measurements.
For
most
genes,
synonymous
nearly
neutral,
stop-codon
deleterious,
amino-acid
have
a
range
effects.
some
accessory
proteins
under
little
no
provide
interactive
visualizations
all
(https://jbloomlab.github.io/SARS2-mut-fitness/).
The
framework
describe
applicable
any
virus
which
number
sufficiently
large
neutral
observed.
Drug
resistance
poses
a
significant
challenge
in
the
development
of
effective
therapies
against
SARS-CoV-2.
Here,
we
identified
two
double
mutations,
M49K/M165V
and
M49K/S301P,
3C-like
protease
(3CLpro)
that
confer
to
novel
non-covalent
inhibitor,
WU-04,
which
is
currently
phase
III
clinical
trials
(NCT06197217).
Crystallographic
analysis
indicates
M49K
mutation
destabilizes
WU-04-binding
pocket,
impacting
binding
WU-04
more
significantly
than
3CLpro
substrates.
The
M165V
directly
interferes
with
binding.
S301P
mutation,
far
from
indirectly
affects
by
restricting
rotation
3CLpro's
C-terminal
tail
impeding
dimerization.
We
further
explored
mutations
clinically
used
inhibitors:
ensitrelvir
nirmatrelvir,
revealed
trade-off
between
catalytic
activity,
thermostability,
drug
3CLpro.
found
at
same
residue
(M49)
can
have
distinct
effects
on
inhibitors,
highlighting
importance
developing
multiple
antiviral
agents
different
skeletons
for
fighting
These
findings
enhance
our
understanding
SARS-CoV-2
mechanisms
inform
therapeutics.
Science Translational Medicine,
Год журнала:
2024,
Номер
16(738)
Опубликована: Март 13, 2024
Inhibitors
of
the
severe
acute
respiratory
syndrome
coronavirus
2
(SARS-CoV-2)
main
protease
(M
pro
)
such
as
nirmatrelvir
(NTV)
and
ensitrelvir
(ETV)
have
proven
effective
in
reducing
severity
COVID-19,
but
presence
resistance-conferring
mutations
sequenced
viral
genomes
raises
concerns
about
future
drug
resistance.
Second-generation
oral
drugs
that
retain
function
against
these
mutants
are
thus
urgently
needed.
We
hypothesized
covalent
hepatitis
C
virus
inhibitor
boceprevir
(BPV)
could
serve
basis
for
orally
bioavailable
inhibit
SARS-CoV-2
M
more
efficiently
than
existing
drugs.
Performing
structure-guided
modifications
BPV,
we
developed
a
picomolar-affinity
inhibitor,
ML2006a4,
with
antiviral
activity,
pharmacokinetics,
therapeutic
efficacy
similar
or
superior
to
those
NTV.
A
crucial
feature
ML2006a4
is
derivatization
ketoamide
reactive
group
improves
cell
permeability
bioavailability.
Last,
was
found
be
less
sensitive
several
cause
resistance
NTV
ETV
occur
natural
population.
Thus,
anticipatory
design
can
preemptively
address
potential
mechanisms
expand
treatment
options
variants.
ACS Infectious Diseases,
Год журнала:
2024,
Номер
10(4), С. 1174 - 1184
Опубликована: Март 12, 2024
The
appearance
and
spread
of
mutations
that
cause
drug
resistance
in
rapidly
evolving
diseases,
including
infections
by
the
SARS-CoV-2
virus,
are
major
concerns
for
human
health.
Many
drugs
target
enzymes,
resistance-conferring
impact
inhibitor
binding
or
enzyme
activity.
Nirmatrelvir,
most
widely
used
currently
to
treat
infections,
targets
main
protease
(Mpro)
preventing
it
from
processing
viral
polyprotein
into
active
subunits.
Our
previous
work
systematically
analyzed
Mpro
reduce
inhibitors;
here,
we
investigate
affect
function.
Hyperactive
increase
activity
can
contribute
but
have
not
been
thoroughly
studied.
To
explore
how
hyperactive
resistance,
comprehensively
assessed
all
possible
individual
function
using
a
mutational
scanning
approach
with
fluorescence
resonance
energy
transfer
(FRET)-based
yeast
readout.
We
identified
hundreds
significantly
increased
occurred
both
proximal
distal
site,
consistent
protein
stability
and/or
dynamics
impacting
were
observed
3
times
more
than
which
reduced
apparent
nirmatrelvir
recent
studies
laboratory-grown
viruses
selected
resistance.
also
about
three
prevalent
sequenced
isolates
circulating
SARS-CoV-2.
findings
indicate
likely
natural
evolution
provide
comprehensive
list
future
surveillance
efforts.
Abstract
The
Middle
East
Respiratory
Syndrome
Coronavirus
(MERS-CoV)
is
an
epidemic,
zoonotically
emerging
pathogen
initially
reported
in
Saudi
Arabia
2012.
MERS-CoV
has
the
potential
to
mutate
or
recombine
with
other
coronaviruses,
thus
acquiring
ability
efficiently
spread
among
humans
and
become
pandemic.
Its
high
mortality
rate
of
up
35%
absence
effective
targeted
therapies
call
for
development
antiviral
drugs
this
pathogen.
Since
beginning
SARS-CoV-2
pandemic,
extensive
research
focused
on
identifying
protease
inhibitors
treatment
SARS-CoV-2.
Our
intention
was
therefore
assess
whether
these
are
viable
options
combating
MERS-CoV.
To
that
end,
we
used
previously
established
assays
quantify
inhibition
SARS-CoV-2,
main
proteases.
Nirmatrelvir
inhibited
several
proteases,
whereas
ensitrelvir
less
broadly
active.
simulate
nirmatrelvir’s
clinical
use
against
subsequent
resistance
development,
applied
a
safe,
surrogate
virus-based
system.
Using
virus,
selected
hallmark
mutations
SARS-CoV-2-M
pro
,
such
as
T21I,
M49L,
S144A,
E166A/K/V
L167F.
In
current
study,
pool
MERS-CoV-M
mutants,
characterized
modelled
steric
effect
catalytic
site
mutants
S142G,
S142R,
S147Y
A171S.
The
SARS-CoV-2
main
protease
(Mpro)
is
essential
for
viral
replication
and
a
primary
target
COVID-19
antivirals.
Direct-acting
antivirals
such
as
nirmatrelvir,
the
active
component
of
Paxlovid,
Mpro
site
to
block
polyprotein
cleavage
thus
replication.
However,
drug
resistance
mutations
at
residue
Glu166
(E166)
have
emerged
during
in
vitro
selection
studies,
raising
concerns
about
durability
current
antiviral
strategies.
Here,
we
investigate
molecular
basis
conferred
by
E166A
E166V
against
nirmatrelvir
related
PF-00835231,
individually
combination
with
distal
mutation
L50F.
We
found
that
E166
reduce
potency
up
3,000-fold
while
preserving
substrate
cleavage,
catalytic
efficiency
reduced
only
twofold.
This
loss
was
compensated
addition
L50F
double-mutant
variants.
determined
three
cocrystal
structures
variants
(E166A,
E166V,
E166V/L50F)
bound
PF-00835231.
Comparison
these
wild-type
enzyme
demonstrated
crucial
dimerization
shaping
substrate-binding
S1
pocket.
Our
findings
highlight
mutability
E166,
prime
inhibitors
leverage
direct
interactions
this
position,
potential
emergence
highly
resistant
compensatory
These
insights
support
design
conserved
features
avoid
side-chain
minimize
susceptibility
resistance.
Drug
remains
great
challenge
modern
medicine.
study
investigates
which
confer
can
retain
considerable
enzymatic
activity
through
For
single-
variant
enzymes,
assessed
efficiency,
measured
its
analog
cocrystallized
caused
mutations.
results
contribute
toward
understanding
mechanisms
combinations
mutations,
pushes
resistance-thwarting
inhibitor
design.
principles
also
apply
broadly
many
quickly
evolving
targets
infectious
diseases.