bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Oct. 23, 2023
Motivation:
Charged
amino
acid
residues
on
the
spike
protein
of
severe
acute
respiratory
syndrome
coronavirus
2
(SARS-CoV-2)
have
been
shown
to
influence
its
binding
different
cell
surface
receptors,
non-specific
electrostatic
interactions
with
environment,
and
structural
stability
conformation.
It
is
therefore
important
obtain
a
good
understanding
mutations
that
affect
total
charge
which
arisen
across
SARS-CoV-2
lineages
during
course
virus'
evolution.
Results:
We
analyse
change
in
number
ionizable
acids
corresponding
proteins
almost
2200
emerged
over
span
pandemic.
Our
results
show
previously
observed
trend
toward
an
increase
positive
variants
concern
has
essentially
stopped
emergence
early
omicron
variants.
Furthermore,
recently
greater
diversity
terms
their
composition
acids.
also
demonstrate
patterns
are
characteristic
related
within
broader
clade
division
phylogenetic
tree.
Due
ubiquity
biological
our
findings
relevant
for
broad
range
studies
dealing
environment.
Availability:
The
data
underlying
article
available
online
Supplementary
Material.
Bioinformatics Advances,
Journal Year:
2024,
Volume and Issue:
4(1)
Published: Jan. 1, 2024
Abstract
Motivation
Charged
amino
acid
residues
on
the
spike
protein
of
severe
acute
respiratory
syndrome
coronavirus
2
(SARS-CoV-2)
have
been
shown
to
influence
its
binding
different
cell
surface
receptors,
non-specific
electrostatic
interactions
with
environment,
and
structural
stability
conformation.
It
is
therefore
important
obtain
a
good
understanding
mutations
that
affect
total
charge
which
arisen
across
SARS-CoV-2
lineages
during
course
virus’
evolution.
Results
We
analyse
change
in
number
ionizable
acids
corresponding
proteins
almost
2200
emerged
over
span
pandemic.
Our
results
show
previously
observed
trend
toward
an
increase
positive
variants
concern
has
essentially
stopped
emergence
early
omicron
variants.
Furthermore,
recently
greater
diversity
terms
their
composition
acids.
also
demonstrate
patterns
are
characteristic
related
within
broader
clade
division
phylogenetic
tree.
Due
ubiquity
biological
our
findings
relevant
for
broad
range
studies
dealing
environment.
Availability
implementation
The
data
underlying
article
available
Supplementary
material.
Journal of Computational Chemistry,
Journal Year:
2025,
Volume and Issue:
46(4)
Published: Feb. 2, 2025
ABSTRACT
The
spike
protein
of
SARS‐CoV‐2
is
a
challenging
target
for
theoretical
approaches.
Here
we
report
benchmark
calculation
the
droplet
model
by
fragment
molecular
orbital
(FMO)
at
second‐order
Møller‐Plesset
perturbation
(MP2)
level
on
supercomputer
Fugaku.
One
hundred
structure
samples
from
dynamics
(MD)
simulations
were
used
both
closed
and
open
forms
this
(PDB
IDs
6XLU
6XM0
respectively).
number
total
fragments
about
20,000,
job
time
per
was
2
h
8
racks
PLoS ONE,
Journal Year:
2025,
Volume and Issue:
20(4), P. e0320891 - e0320891
Published: April 7, 2025
The
COVID-19
pandemic
offered
an
unprecedented
glimpse
into
the
evolution
of
its
causative
virus,
SARS-CoV-2.
It
has
been
estimated
that
since
outbreak
in
late
2019,
virus
explored
all
possible
alternatives
terms
missense
mutations
for
sites
polypeptide
chain.
Spike
protein
exhibits
largest
sequence
variation
particular,
with
many
individual
impacting
target
recognition,
cellular
entry,
and
endosomal
escape
virus.
Moreover,
recent
studies
unveiled
a
significant
increase
total
charge
on
spike
during
initial
period
pandemic.
While
this
trend
recently
come
to
halt,
we
perform
sequence-based
analysis
2665
SARS-CoV-2
variants
which
shows
ionizable
amino
acids
continue
occur
newly
emerging
variants,
notable
differences
between
lineages
from
different
clades.
What
is
more,
show
within
can
acquire
positive
charge,
prominent
preference
lysine
residues
over
arginine
residues.
This
lysine-to-arginine
ratio
increased
at
several
points
evolution,
most
BA.2.86
sublineages,
including
dominant
JN.1,
KP.3,
XEC
variants.
consequence
structural
regions
now
among
highest
viral
species
Coronaviridae
family.
impact
high
proteins
daughter
fitness
remains
unclear;
discuss
potential
mechanisms
could
play
role
serve
as
starting
point
further
studies.
Microbiology Spectrum,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 1, 2025
Due
to
the
continuous
genetic
diversification
of
severe
acute
respiratory
syndrome
coronavirus
type
2
(SARS-CoV-2)
over
time,
co-circulation
two
different
lineages
in
same
region
may
lead
co-infections
within
a
host,
situation
known
contribute
emergence
hybrid
viral
populations
through
genomic
recombination.
The
aim
this
study
was
use
genomics-based
approach
identify
distinct
SARS-CoV-2
patients
with
disease
2019
(COVID-19),
as
an
indicator
potential
and
recombination
events.
cohort
included
41,224
serial
nasopharyngeal
swabs
positive
for
RNA,
prospectively
collected
between
January
2021
April
2022
part
French
national
surveillance
program.
Full-length
genomes
were
sequenced
by
next-generation
sequencing
(COVIDseq).
Intra-host
single
nucleotide
variants
(iSNVs)
identified,
synthetic
generated
establish
thresholds
co-infection
detection.
Eight
hundred
sixty-one
samples
iSNV
ratios
above
threshold
considered
"potential
co-infections."
Peaks
prevalence
occurred
during
periods
variants.
Co-infection
Variants
Concern
(VoC)
confirmed
103
cases,
including
Alpha-Beta
12
Alpha-Delta
15
Gamma-Delta
4
Delta-Omicron
35
Omicron
BA.1-BA.2
37
cases.
In
conclusion,
our
suggests
higher
variant/subvariant
events
than
that
previously
reported
using
conventional
approaches,
particularly
characterized
multiple
lineages,
creating
increased
risk
Our
results
support
premise
importance
approaches
detect
virus-infected
populations,
closely
related
lineages.
We
implement
innovative
monitor
diversity
human
population,
circulation
VOCs.
This
focused
on
detecting
highly
diverse
which
are
facilitate
can
potentially
new
recombinant
novel
characteristics.
Monitoring
characterizing
cases
outbreak
is
key
strategy
better
understanding
evolution,
especially
epidemic
periods.
However,
challenging,
their
often
underestimated.
study,
we
developed
be
implemented
programs
applied
large
datasets.
Concern.
Journal of Chemical Information and Modeling,
Journal Year:
2024,
Volume and Issue:
65(1), P. 240 - 251
Published: Dec. 26, 2024
Previous
works
show
the
key
role
of
electrostatics
in
SARS-CoV-2
virus
aspects
such
as
virus-cell
interactions
or
inactivation
by
ionic
surfactants.
Electrostatic
depend
strongly
on
variant
since
charge
Spike
protein
(responsible
for
virus-environment
interactions)
evolved
across
variants
from
highly
negative
Wild
Type
(WT)
to
positive
Omicron
variant.
The
distribution
also
diffuse
localized.
These
facts
suggest
that
should
interact
with
charged
surfaces
a
way
changed
during
evolution.
This
question
is
studied
here
computing
electrostatic
interaction
between
WT,
Delta
and
proteins
using
new
method
(based
Debye-Hückel
theory)
provides
efficiently
general
results
function
surface
density
σ.
We
found
WT
spikes
dominated
repulsive
image
forces
proportional
σ2
originating
at
protein/water
interface.
On
contrary,
shows
distinct
behavior,
being
attracted
negatively
repelled
positively
ones.
Therefore,
has
adsorbing
Virus Research,
Journal Year:
2024,
Volume and Issue:
344, P. 199358 - 199358
Published: March 22, 2024
With
the
rapid
evolution
of
SARS-CoV-2,
emergence
new
strains
is
an
intriguing
question.
This
paper
presents
evolutionary
theory
to
analyze
mutations
virus
and
identify
conditions
that
lead
generation
strains.
We
represent
variants
using
a
4-letter
sequence
based
on
amino
acid
spike
protein
employ
n-distance
algorithm
derive
variant
phylogenetic
tree.
show
theoretically-derived
tree
aligns
with
experimental
data
evolution.
Additionally,
we
propose
A-X
model,
utilizing
set
existing
mutation
sites
(A)
randomly
generated
(X),
calculate
Our
findings
demonstrate
sufficient
number
random
iterations
can
predict
macro-lineages
when
in
X
large
enough.
These
results
provide
crucial
theoretical
basis
for
understanding
SARS-CoV-2.
Journal of Chemical Information and Modeling,
Journal Year:
2024,
Volume and Issue:
64(15), P. 5977 - 5990
Published: July 31, 2024
Respiratory
viruses,
carried
through
airborne
microdroplets,
frequently
adhere
to
surfaces,
including
plastics
and
metals.
However,
our
understanding
of
the
interactions
between
viruses
materials
remains
limited,
particularly
in
scenarios
involving
polarizable
surfaces.
Here,
we
investigate
role
receptor-binding
domain
(RBD)
spike
protein
mutations
on
adsorption
SARS-CoV-2
hydrophobic
hydrophilic
surfaces
employing
molecular
simulations.
To
contextualize
findings,
contrast
inanimate
with
those
native
biological
interfaces,
specifically
angiotensin-converting
enzyme
2.
Notably,
identify
a
2-fold
increase
structural
deformations
for
protein's
receptor
binding
motif
(RBM)
onto
indicative
enhanced
shock-absorbing
mechanisms.
Furthermore,
distribution
adsorbed
amino
acids
(landing
footprints)
surface
reveals
distinct
regional
asymmetry
relative
interface,
roughly
half
arranged
opposite
sites.
In
spite
H-bonds
formed
at
substrate,
simulations
consistently
show
higher
number
contacts
interfacial
area
surface,
where
wild-type
RBD
adsorbs
more
strongly
than
Delta
or
Omicron
RBDs.
contrast,
was
characterized
by
distinctive
hopping-pattern.
The
novel
mechanisms
identified
virus
embedded
high-deformation
capacity
without
losing
its
secondary
structure,
which
could
lead
current
experimental
strategies
design
virucidal
With
the
rapid
evolution
of
SARS-CoV-2,
emergence
new
strains
is
an
intriguing
question.
This
paper
presents
evolutionary
theory
to
analyze
mutations
virus
and
identify
conditions
that
lead
generation
strains.
We
represent
variants
using
a
4-letter
sequence
based
on
amino
acid
spike
protein
employ
n-distance
algorithm
derive
variant
phylogenetic
tree.
show
theoretically-derived
tree
aligns
with
experimental
data
evolution.
Additionally,
we
propose
A-X
model,
utilizing
set
existing
mutation
sites
(A)
randomly
generated
(X),
calculate
Our
findings
demonstrate
sufficient
number
random
iterations
can
predict
macro-lineages
when
in
X
large
enough.
These
results
provide
crucial
theoretical
basis
for
understanding
SARS-CoV-2.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 16, 2024
Abstract
Respiratory
viruses,
carried
through
airborne
microdroplets,
frequently
adhere
to
surfaces,
including
plastics
and
metals.
However,
our
understanding
of
the
interactions
between
viruses
materials
remains
limited,
particularly
in
scenarios
involving
polarizable
surfaces.
Here,
we
investigate
role
receptor-binding
domain
(RBD)
mutations
on
adsorption
SARS-CoV-2
hydrophobic
hydrophilic
surfaces
employing
molecular
simulations.
To
contextualize
findings,
contrast
inanimate
with
those
native-biological
interfaces,
specifically
ACE2
receptor.
Notably,
identify
a
twofold
increase
structural
deformations
for
protein’s
receptor
binding
motif
onto
indicative
enhanced
shock-absorbing
mechanisms.
Furthermore,
distribution
amino
acids
(landing-footprints)
surface
reveals
distinct
regional
asymmetry
relative
biological
interface.
In
spite
H-bonds
formed
at
substrate,
simulations
consistently
show
higher
number
contacts
interfacial
area
surface,
WT
RBD
adsorbed
more
strongly
than
delta
or
omicron
RBDs.
contrast,
was
characterized
by
distinctive
hopping-pattern.
The
novel
mechanisms
identified
virus
could
lead
current
experimental
efforts
design
virucidal
With
the
rapid
evolution
of
SARS-CoV-2,
emergence
new
strains
is
an
intriguing
question.
This
paper
presents
evolutionary
theory
to
analyze
mutations
virus
and
identify
conditions
that
lead
generation
strains.
We
represent
variants
using
a
4-letter
sequence
based
on
amino
acid
spike
protein
employ
n-distance
algorithm
derive
variant
phylogenetic
tree.
show
theoretically-derived
tree
aligns
with
experimental
data
evolution.
Additionally,
we
propose
A-X
model,
utilizing
set
existing
mutation
sites
(A)
randomly
generated
(X),
calculate
Our
findings
demonstrate
sufficient
number
random
iterations
can
predict
macro-lineages
when
in
X
large
enough.
These
results
provide
crucial
theoretical
basis
for
understanding
SARS-CoV-2.