SeqDance: A Protein Language Model for Representing Protein Dynamic Properties
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 15, 2024
Abstract
Proteins
perform
their
functions
by
folding
amino
acid
sequences
into
dynamic
structural
ensembles.
Despite
the
important
role
of
protein
dynamics,
complexity
and
absence
efficient
representation
methods
have
limited
integration
studies
on
function
mutation
fitness,
especially
in
deep
learning
applications.
To
address
this,
we
present
SeqDance,
a
language
model
designed
to
learn
properties
directly
from
sequence
alone.
SeqDance
is
pre-trained
biophysical
derived
over
30,400
molecular
dynamics
trajectories
28,600
normal
mode
analyses.
Our
results
show
that
effectively
captures
local
interactions,
co-movement
patterns,
global
conformational
features,
even
for
proteins
lacking
homologs
pre-training
set.
Additionally,
showed
enhances
prediction
fitness
landscapes,
disorder-to-order
transition
binding
regions,
phase-separating
proteins.
By
sequence,
complements
conventional
evolution-
static
structure-based
methods,
offering
new
insights
behavior
function.
Language: Английский
Binding Evolution of the Dengue Virus Envelope Against DC-SIGN: A Combined Approach of Phylogenetics and Molecular Dynamics Analyses Over 30 Years of Dengue Virus in Brazil
Journal of Molecular Biology,
Journal Year:
2024,
Volume and Issue:
436(11), P. 168577 - 168577
Published: April 18, 2024
Language: Английский
Dissecting Allosteric Mutations for Antibiotic Resistance by Time-Dependent Linear Response Theory
Journal of Chemical Theory and Computation,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 7, 2024
We
report
a
new
approach
that
combines
molecular
dynamics
trajectories
with
time-dependent
linear
response
theory
to
compute
the
time
evolution
of
residue
fluctuation
responses
force
perturbations
exerted
at
functional
sites.
Applying
this
TEM-1
beta-lactamase,
we
observe
time-resolved
profiles
allosteric
sites
active
are
distinct
from
those
non-allosteric
residues.
Using
Fourier
transformations,
convert
domain
frequency
and
demonstrate
space
representation
perturbation
can
capture
mutational
behavior
each
site
when
applied
deep
sequencing
data.
Furthermore,
show
classification
models
built
on
accurately
identify
distal
positions
regulate
antibiotic
resistance.
These
findings
provide
insights
into
contributions
specific
residues
resistance-encoded
in
highlight
importance
identifying
mutations,
opening
avenues
for
potential
characterization
additional
without
extensive
computational
simulations.
Language: Английский
Some mechanistic underpinnings of molecular adaptations of SARS-COV-2 spike protein by integrating candidate adaptive polymorphisms with protein dynamics
eLife,
Journal Year:
2023,
Volume and Issue:
12
Published: Nov. 6, 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
S
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
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
Language: Английский
Biophysics at the dawn of exascale computers
Biophysical Journal,
Journal Year:
2023,
Volume and Issue:
122(14), P. E1 - E2
Published: July 1, 2023
Language: Английский
Analyses of allele age and fitness impact reveal human beneficial alleles to be older than neutral controls
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Oct. 10, 2023
Abstract
A
classic
population
genetic
prediction
is
that
alleles
experiencing
directional
selection
should
swiftly
traverse
allele
frequency
space,
leaving
detectable
reductions
in
variation
linked
regions.
However,
despite
this
expectation,
identifying
clear
footprints
of
beneficial
passage
has
proven
to
be
surprisingly
challenging.
We
addressed
the
basic
premise
underlying
expectation
by
estimating
ages
large
numbers
and
deleterious
a
human
genomic
data
set.
Deleterious
were
found
young,
on
average,
given
their
frequency.
older
average
than
non-coding,
non-regulatory
same
This
finding
not
consistent
with
instead
indicates
some
type
balancing
selection.
Among
derived
alleles,
those
fixed
show
higher
local
recombination
rates
still
segregating,
model
which
new
experience
an
initial
period
due
linkage
disequilibrium
recessive
alleles.
Alleles
ultimately
fix
following
will
leave
modest
‘soft’
sweep
impact
variation,
overall
paucity
species-wide
‘hard’
sweeps
genomes.
Impact
Statement
Analyses
age
evolutionary
reveal
are
often
neutral
controls,
suggesting
role
for
adaptation.
Language: Английский