bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 12, 2024
Abstract
Proteins
are
investigated
in
increasingly
more
complex
biological
systems,
where
19
F
NMR
is
proving
highly
advantageous
due
to
its
high
gyromagnetic
ratio
and
background-free
spectra.
Its
application
has,
however,
been
hindered
by
limited
chemical
shift
dispersions
an
incomprehensive
relationship
between
shifts
protein
structure.
We
exploit
the
sensitivity
of
ring
currents
designing
labels
with
direct
contact
a
native
or
engineered
aromatic
ring.
Fifty
variants
predicted
AlphaFold
molecular
dynamics
simulations
show
80-90%
success
rates
correlations
their
experimental
magnitude
current.
Our
method
consequently
improves
dispersion
through
simple
1D
experiments
enables
structural
analyses
alternative
conformational
states,
including
ribosome-bound
folding
intermediates,
in-cell
measurements
thermodynamics
protein-protein
interactions.
strategy
thus
provides
sensitive
tool
extract
residue
restraints
from
for
previously
intractable
systems.
Computational and Structural Biotechnology Journal,
Journal Year:
2024,
Volume and Issue:
23, P. 3300 - 3314
Published: Aug. 28, 2024
Bioanalytical
methods
that
enable
rapid
and
high-detail
characterization
of
binding
specificities
strengths
protein
complexes
with
low
sample
consumption
are
highly
desired.
The
interaction
between
a
camelid
single
domain
antibody
(sdAbCSP1)
its
target
antigen
(PfCSP-Cext)
was
selected
as
model
system
to
provide
proof-of-principle
for
the
here
described
methodology.
Abstract
The
simultaneous
identification
of
proteins
as
well
their
conformations
in
a
biological
system
would
greatly
enhance
our
understanding
cellular
mechanisms
and
disease.
As
an
emerging
technique,
native
proteomics
analyzes
states,
facilitating
the
acquisition
protein
stoichiometry,
post-translational
modifications
(PTMs),
interactions
with
ligands.
However,
revealing
at
proteome
scale
remains
significant
challenge.
In
this
study,
we
propose
AI-assisted
method
that
integrates
structure
prediction
(PSP)
module
top-down
(TDP)
mass
spectrometry
(nMS)
to
acquire
both
identity
conformations.
First,
sequences
PTMs
are
obtained
using
TDP
method,
while
solvent-accessible
surface
area
(SASA)
is
measured
parallel
by
nMS.
These
data
then
input
into
PSP
most
probable
conformation
under
nMS
experimental
conditions.
We
validate
feasibility
accuracy
through
analysis
globular
intrinsically
disordered
protein.
Additionally,
apply
approach
delineate
ribosomal
pre-
post-assembly.
Interactions
drug
molecules
also
explored.
By
enabling
characterization
from
relatively
small
amounts
endogenous
proteins,
bridge
gap
between
structural
biology
conventional
technologies.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 12, 2024
Abstract
Proteins
are
investigated
in
increasingly
more
complex
biological
systems,
where
19
F
NMR
is
proving
highly
advantageous
due
to
its
high
gyromagnetic
ratio
and
background-free
spectra.
Its
application
has,
however,
been
hindered
by
limited
chemical
shift
dispersions
an
incomprehensive
relationship
between
shifts
protein
structure.
We
exploit
the
sensitivity
of
ring
currents
designing
labels
with
direct
contact
a
native
or
engineered
aromatic
ring.
Fifty
variants
predicted
AlphaFold
molecular
dynamics
simulations
show
80-90%
success
rates
correlations
their
experimental
magnitude
current.
Our
method
consequently
improves
dispersion
through
simple
1D
experiments
enables
structural
analyses
alternative
conformational
states,
including
ribosome-bound
folding
intermediates,
in-cell
measurements
thermodynamics
protein-protein
interactions.
strategy
thus
provides
sensitive
tool
extract
residue
restraints
from
for
previously
intractable
systems.