Association rates for interactions between folded proteins have been investigated extensively, allowing the development of computational and theoretical prediction methods. Less is known about association rates for complexes where one or more partner is initially disordered, despite much speculation about how they may compare to those for folded proteins. We have attached a fluorophore to the N-terminus of the 25 amino acid cMyb peptide used previously in NMR and equilibrium studies (termed FITC-cMyb), and used this to monitor the kinetics of its interaction with the KIX protein. We have investigated the ionic strength and temperature dependence of the kinetics, and conclude that the association process is extremely fast, apparently exceeding the rates predicted by formulations applicable to interactions between pairs of folded proteins. This is despite the fact that not all collisions result in complex formation (there is an observable activation energy for the association process). We propose that this is partially a result of the disordered nature of the FITC-cMyb peptide itself.
Association rates for interactions between folded proteins have been investigated extensively, allowing the development of computational and theoretical prediction methods. Less is known about association rates for complexes where one or more partner is initially disordered, despite much speculation about how they may compare to those for folded proteins. We have attached a fluorophore to the N-terminus of the 25 amino acid cMyb peptide used previously in NMR and equilibrium studies (termed FITC-cMyb), and used this to monitor the kinetics of its interaction with the KIX protein. We have investigated the ionic strength and temperature dependence of the kinetics, and conclude that the association process is extremely fast, apparently exceeding the rates predicted by formulations applicable to interactions between pairs of folded proteins. This is despite the fact that not all collisions result in complex formation (there is an observable activation energy for the association process). We propose that this is partially a result of the disordered nature of the FITC-cMyb peptide itself.
The protein structure–function
paradigm was widely accepted
for more than 100 years. However, in recent years, unstructured but
biologically active proteins have been the focus of intense research.
Much of the work has involved computational predictions of disorder
based on amino acid sequences.[1] Estimates
gained from these approaches suggest that 33% of proteins in eukaryotes
might have intrinsically disordered regions.[2] In particular, disordered regions appear to be highly represented
in proteins involved in signaling and transcriptional processes.[2]CBP, and its paralogue p300, are general
coactivators that act
as a bridge/scaffold between transcriptional factors bound to DNA,
and other coactivators and elements of the basal transcriptional machinery.[3] The KIX domains of CBP and p300 are known to
have many binding partners, which can bind at one or more of two distinct
sites on KIX, named the pKID and MLL sites after two of the binding
partners.[4,5] Several of the partner proteins have disordered
regions that undergo coupled folding and binding.[5−8] One such protein, which is known
to bind in vivo and in vitro, is
cMyb.[9]cMyb is a 75–89 kDa
transcription factor involved in the
proliferation, survival, and differentiation of hematopoetic cells.[10] It consists of three functional domains: an
N-terminal region consisting of three folded DNA binding domains,
a central transactivation domain (TAD), and a C-terminal negative
regulatory domain. The TAD of cMyb is reported to bind to the KIX
region of CBP/p300, and an NMR structure of the complex, obtained
using a 25 amino acid peptide from the TAD, has been published[8] (Figure 1). This structure
shows that the cMyb peptide folds to form a single amphipathic helix
that binds along the shallow hydrophobic groove created by the α1
and α2 helices of KIX, and has a single bend at Leu302 which
allows this residue to penetrate into a hydrophobic pocket. The pKID
domain of CREB is known to bind in the same shallow hydrophobic groove.[6] There are no obvious sequence similarities between
cMyb and pKID, apart from the conserved leucine residue in the hydrophobic
pocket. However, cMyb does contain a known binding motif for KIX φXXφφ,
where φ represents a bulky hydrophobic residue and X represents
any amino acid.[4]
Figure 1
(upper) Cartoon of the
complex between FITC-cMyb peptide (red)
and KIX (blue). An FITC moiety (yellow) has been superimposed on the
NMR structure (PDB 1SB0)[8] to show its relative position and size.
The leucine residues of the KIX binding motif are shown as red spheres.
(lower) cMyb peptide amino acid sequence, shown with its PONDR-FIT[28] and AGADIR[29] scores
displayed at residue level. Residue numbers correspond to position
within the full cMyb protein.
There has been much
speculation about the importance of disorder
to a protein such as cMyb.[11] It is frequently
stated that one advantage of intrinsic disorder to a protein is the
potential for higher association rates with its partners.[11−13] However, there is no experimental evidence that in general intrinsically
disordered proteins bind significantly faster to their target proteins
than their folded counterparts. Reported association rate constants
span many orders of magnitude for both folded proteins and unfolded
proteins, and there is no statistically significant difference between
the two groups.[14] In fact, this may not
be particularly surprising. Theoretical considerations of increased
capture radius, and simulations with lowered free energy barriers,
both of which have been proposed to lead to high association rates
for IDPs, predict only modest rate enhancements (of under 2.5-fold).[13,15] These are likely to be masked entirely by the rate enhancement (or
retardation) caused by long-range electrostatic effects, which undoubtedly
explains a substantial amount of the variation observed in association
rates. Testing for such trends would therefore require comparison
of rates collected under conditions where long-range electrostatic
effects are corrected for, i.e., at infinite ionic strength.In investigating the potential role for disorder in proteins, the
mechanism by which coupled folding and binding takes place is also
of interest.[11] Two extreme cases are apparent.
First, the disordered protein could bind to the partner and then fold
(induced-fit mechanism). Second, the unbound protein could exist in
a variety of conformations, of which only those that have a structure
resembling the bound form can bind (conformational-selection mechanism).
Of course, in actuality, a mixture of the two could also operate where
only some partially formed conformations are able to bind and subsequently
rearrange to form the final. It has also been noted that, if both
mechanisms operate, the flux through each pathway might be changed
with protein concentration, as well as with conditions such as pH
and temperature.[16,17]Despite the interest in
kinetic differences between folded and
disordered protein binding, and the capability of kinetic measurements
to provide mechanistic information, there have so far been relatively
few kinetic studies. Here we aim to extend the characterization of
the kinetics of a coupled folding-and-binding process. We have attached
a fluorophore to the N-terminus of the 25 amino acid cMyb peptide
used previously in NMR and equilibrium studies (termed FITC-cMyb),
and used this to monitor the kinetics of its fast interaction with
the KIX domain of CBP. In particular, we investigate the dependence
of the association rate upon ionic strength and temperature to shed
light on the mechanism of this coupled folding and binding process.
Methods
Preparation
of KIX Protein
The synthetic gene for the
KIX domain of mouseCBP (Uniprot 45481, residues 586–672) was obtained
from Genscript. The gene was inserted into a modified version of the
pRSET A vector that encodes an N-terminal hexahistidine tag with a
thrombin cleavage site between the tag and the protein. Protein expression
was carried out in Escherichia coli C41 (DE3) grown
in 2xTY media at 37 °C. Expression was induced once the cells
reached an optical density of 0.4–0.6 AU at 600 nm, by adding
IPTG to a final concentration of 0.1 mM and reducing the temperature
to 18 °C. The cells were grown overnight and harvested by centrifugation.
The centrifuged cells were resuspended in 25 mM imidazole, sonicated
and centrifuged, and the protein from the soluble fraction was purified
by affinity chromatography on Ni2+ agarose resin. Bound
protein was eluted with 250 mM imidazole, and the his-tag cleaved
by overnight incubation with thrombin at room temperature. The protein
was further purified by gel filtration using a Superdex G75 column
in pH 7.4 100 mM sodium phosphate buffer. For ionic strength studies,
KIX protein was buffer exchanged and stored in ddH2O. The
concentration of KIXstocks was determined using an extinction coefficient
of 12 009 M–1 cm–1 at 280
nm obtained by the method of Gill von Hippel.[18]
Peptides and Reagents
N-terminally labeled FITC-cMyb
peptide (Uniprot P06876, residues 291–315) was purchased from Biomatik.
1 mg aliquots were dissolved at 1–2 mg/mL in ddH2O as required. The stock concentration was determined from the absorbance
at 493 nm of a 20-fold dilution into biophysical buffer, using an
extinction coefficient of 75 000 M–1 cm–1. Sodium phosphate, MOPS, and sodium chloride were
purchased from Sigma.
Biophysical Buffers and Dilutions
Two separate buffer
types were utilized in these studies. First, 100 mM sodium phosphate
buffer, pH 7.4, the pH of which is relatively insensitive to temperature
changes, was used for the temperature studies. Second, 20 mM MOPS
(pH 7.30 ± 0.02 at 10 °C) with a range of sodium chloride
concentrations was used in ionic strength studies. MOPS buffers in
the same range as phosphate but has a lower ionic strength because
of its lower valency, enabling a larger range of ionic strengths to
be investigated. We observed that the rate of association was slightly
lower in phosphate buffer, considering our estimates of its ionic
strength. In addition, 0.05% tween-20 was included in all biophysical
buffers to avoid nonspecific interactions with plastic-ware.In preparing solutions for kinetic assays, dilutions of KIX and FITC-cMybstocks were weighed, so that accurate concentrations (accounting for
solution density) were obtained.
Circular Dichroism
Circular dichroism (CD) scans were
performed with an Applied Photophysics Chirascan, in cuvettes of 1
or 0.2 mm path length. In mixing experiments, individual solutions
of FITC-cMyb and KIX in pH 7.4 100 mM sodium phosphate (0.05% tween-20)
were prepared, and aliquots removed for mixing in a 1:1 ratio. Spectra
were obtained for all three solutions and buffer subtracted. The expected
spectrum in the absence of protein interaction was calculated as the
average of the two spectra for the individual protein solutions. Helical
content for FITC-cMyb alone was variously estimated as 28, 30, and
37% using the methods of Perez-Iratxeta et al.,[19] Morriset et al.,[20] and Chen
et al.,[21] respectively.
Equilibrium
Anisotropy Binding Curves
FITC-cMyb (1
μM) samples were incubated at the relevant temperature for 1
h in the presence of varying concentrations of KIX, and fluorescence
anisotropy measurements performed using a Cary Eclipse Spectrophotometer
with fluorescence polarization accessory. The sample holder was maintained
at temperature with a Peltier device. Excitation and emission wavelengths
were 493 ± 5 and 517 ± 5 nm, respectively. Fluorescence
intensity measurements, IVV and IVH, were recorded with polarizing filters in
VV and VH format, respectively, and anisotropy R calculated
according to eq 1:where the G-factor (=IHV/IHH) of the experimental
setup is used to correct for differences in sensitivity to horizontally
and vertically polarized light.[22]An estimate of the equilibrium dissociation constant (Kd) was obtained from each binding curve by fitting to
eq 2where Rfree and
(Rfree+ ΔR) are
the anisotropy of free and bound FITC-cMyb, and [KIX] and [cMyb] are
the protein and peptide concentration, respectively.
Kinetic Anisotropy
Measurements
Association kinetics
were monitored by following the change in anisotropy of FITC-cMyb
on binding using a SX20 stopped-flow spectrometer (Applied Photophysics)
with an FP1 fluorescence polarization accessory. Under each condition,
10–40 traces were collected and then averaged. Data collected
before the first 1 ms were removed before fitting. Anisotropy values
reported from stopped-flow have not been corrected for background
fluorescence.In temperature studies, KIX solutions of various
concentrations were mixed 1:1 with 1 μM FITC-cMyb. Three independent
KIXstocks were used in the experiments. Kinetics were fit to a single
exponential decay function to extract an apparent rate constant, kapp. Rates above 400 s–1 were
not included for further analysis. For each temperature, the concentration-dependent kapp estimates were fit with a straight line,
the gradient of which was used to estimate the association rate constant
(kon). Dissociation rate constants (koff) were calculated from the relation koff = Kdkon, which is appropriate for two-state bimolecular
reactions (see Results). In analyzing the
association kinetic data, the viscosity of the solutions was assumed
to be the same as that for water at each temperature.[23]In ionic strength studies, 5–10 μM KIX
in MOPS buffer
was mixed 1:1 with 5 μM FITC-cMyb in MOPS buffer of equal ionic
strength at 10 °C. Kinetic traces were fit to eq 3, which is appropriate for fitting association kinetics collected
under reversible conditionswhere b = −(Kd + (1 + x)[cMyb]), z = (Kd2 + 2(1 + x)Kd[cMyb] + (x2 – 2x + 1)[cMyb]2)1/2, and x = [KIX]/[cMyb]. This is an adaptation
of the fitting strategy we recently reported,[14] to account for different mixing ratios. The value of Kd obtained from equilibrium measurements was used as a
fixed parameter for the fit.
Calculating Basal Rate Constants
The variation in association
rate constant with ionic strength (I) was modeled
with a Debye–Huckel-like approximation that has been determined
empirically (eq 4).[24]where kon,basal, U, and a are fitting parameters, R is the gas constant, T is the temperature,
and κ is given by κ = (2NAe2I/ε0εrkBT)1/2, where NA and kB are the Avogadro and Boltzmann constants,
respectively, and ε0 and εr are
the electrical permittivity of the vacuum and the dielectric constant
of water. The variable kon,basal represents
the expected kon in the absence of long-range
electrostatic effects.In collating basal association rate constants
from the literature for Figure 6, originally
reported values were used wherever possible. If basal rates were not
reported, the data were fit to eq 4. If the
error in the estimated basal rate was larger than the value itself,
we excluded the data from the figure.
Figure 6
The charge
distribution for FITC-cMyb (ribbon) and KIX (spheres)
is shown on the structure for the complex, based on pdb 1SB0. Positively charged
residues are shown as red spheres (KIX) or sticks (cMyb). Negatively
charged residues are shown as blue spheres (KIX) or sticks (cMyb).
The fluorophore FITC, which is superimposed on the structure, is expected
to be predominantly in its dianionic form, and is shown in blue sticks.
Figure prepared using PyMol (The PyMOL Molecular Graphics System,
version 1.6, Schrödinger, LLC).
Estimation of Smoluchowski
Limit for Association Rate
Expected hydrodynamic radii for
cMyb and KIX based on an empirical
fit gained for a range of folded and denatured proteins, respectively,
using pulse gradient field NMR are 1.38 and 1.66 nm.[25] These radii were used in eq 6 to
estimate the Smoluchowki limit.[26]
Estimation
of Protein Charge
The charge on KIX and
cMyb at pH 7.4 was estimated using average pKa values reported for amino acids in globular proteins and
model peptides.[54] The charge for FITC-cMyb
was corrected to account for N-terminal addition of FITC. At pH 7.3–7.4
and 25 °C, fluoroscein exists predominantly as a dianion (∼90%),
with some anion (∼10%), the equilibrium between the two species
being described by a protolytic constant of 6.43.[27]
Results
Coupled Folding and Binding
of cMyb Peptide to KIX
To monitor the formation of cMyb-KIX
complex, we used a version of
the peptide with a fluorophore, FITC, attached to the N-terminus (termed
FITC-cMyb). Otherwise, the cMyb peptide and the KIX protein are identical
to those used in generating the NMR structure of the complex (Figure 1).[8](upper) Cartoon of the
complex between FITC-cMyb peptide (red)
and KIX (blue). An FITC moiety (yellow) has been superimposed on the
NMR structure (PDB 1SB0)[8] to show its relative position and size.
The leucine residues of the KIX binding motif are shown as red spheres.
(lower) cMyb peptide amino acid sequence, shown with its PONDR-FIT[28] and AGADIR[29] scores
displayed at residue level. Residue numbers correspond to position
within the full cMyb protein.We tested this version of the peptide to ensure we had not
significantly
perturbed the system by addition of the dye molecule. First, the secondary
structure of the unbound peptide was very similar to that of the unlabeled
cMyb peptide (Figure S1, Supporting Information) though a little more helical. Circular dichroism (CD) spectra of
free FITC-cMyb (Figure 2A, red line) showed
the peptide to be mostly unstructured, with around 30% residual α-helical
content (see Methods). Second, the peptide
was still observed to bind to KIX protein. On mixing FITC-cMyb with
KIX, a reliable increase in the anisotropy of the FITC is observed,
which reflects the slower tumbling of FITC-cMyb in solution on formation
of the complex. Such measurements were performed with various concentrations
of KIX (Figure 2B), and the curve fit to eq 2 to estimate the equilibrium dissociation constant, Kd, of the complex of 10.5 ± 0.7 μM
at 25 °C. This is in good agreement with previous estimates of
10 and 12.5 μM obtained for unlabeled cMyb by isothermal titration
calorimetry under very similar conditions (pH 7, 27 °C).[8,30] These results indicate that there has been no significant perturbation
of the system on dye addition.
Figure 2
Coupled folding
and binding of FITC-cMyb with KIX domain. (A) CD
spectra of mixtures of FITC-cMyb and KIX indicate higher helical content
than the arithmetic mean of spectra obtained for the individual proteins.
Spectra are the average of three repeats. (B) Apparent binding affinity
for KIX protein with FITC-cMyb assessed using anisotropy measurements
at various temperatures. Only small (<10%) changes in fluorescence
intensity were observed with increasing concentrations of KIX protein.
(C) Stopped-flow anisotropy changes on mixing were used to monitor
the association of FITC-cMyb with KIX. Final concentrations of FITC-cMyb
and KIX were 0.5 and 10 μM, respectively. Curves represent the
average of around 10–30 traces. Lines represent the best fit
to a single exponential, from which an apparent rate constant was
extracted.
Although computational predictors
such as PONDR[28] and AGADIR[29] suggest that the
peptide should be almost completely disordered prior to binding (Figure 1), the CD spectra suggest that cMyb has around 30%
residual helicity in its unbound state. The NMR structure of the complex
published previously estimated that 70% of the amino acids are in
a helix in the bound form,[8] suggesting
that this protein–protein interaction falls into the coupled-folding
and binding category. We confirmed this increase in helicity on binding
by comparing CD measurements of the individual components and mixtures
performed at 25 °C (Figure 2A). CD spectra
were recorded for 100 μM FITC-cMyb (red line) and 100 μM
KIX (blue line), and for mixtures obtained by direct 1:1 mixing of
these solutions (black line). This experiment was performed in triplicate,
and in each case, the mixture had a more helical spectrum than the
one that would be obtained if the two protein components did not interact
(solid and dotted black lines, respectively). Note that under these
conditions 64 ± 2% of the proteins are expected to be in complex
due to the relatively high, 10.5 μM, Kd. At lower concentrations, where less protein is in complex,
the difference between the two spectra is reduced as expected (Figure
S2, Supporting Information).Coupled folding
and binding of FITC-cMyb with KIX domain. (A) CD
spectra of mixtures of FITC-cMyb and KIX indicate higher helical content
than the arithmetic mean of spectra obtained for the individual proteins.
Spectra are the average of three repeats. (B) Apparent binding affinity
for KIX protein with FITC-cMyb assessed using anisotropy measurements
at various temperatures. Only small (<10%) changes in fluorescence
intensity were observed with increasing concentrations of KIX protein.
(C) Stopped-flow anisotropy changes on mixing were used to monitor
the association of FITC-cMyb with KIX. Final concentrations of FITC-cMyb
and KIX were 0.5 and 10 μM, respectively. Curves represent the
average of around 10–30 traces. Lines represent the best fit
to a single exponential, from which an apparent rate constant was
extracted.
Temperature Dependence
of Association Kinetics Monitored Using
Anisotropy
Equilibrium anisotropy measurements were performed
at various concentrations of KIX to determine the binding affinity
at temperatures ranging from 5 to 25 °C. The binding affinity
decreased significantly with temperature (Figure 3A). Both the association and dissociation processes can reasonably
be expected to occur faster at higher temperatures. This result suggests
that the dissociation rate increases more relative to the association
rate in this temperature range. However, in order to determine the
effect of temperature on the processes separately, and to check for
the presence of any intermediates in the process, it is necessary
to perform kinetics measurements (Figure 2C,
Figure 3).
Figure 3
Temperature dependence of the rate and equilibrium constants for
the interaction between FITC-cMyb and KIX in pH 7.4 100 mM sodium
phosphate buffer. (A) Kd at various temperatures
obtained from the data in Figure 2B. (B) Apparent
rate constants from single exponential fits of kinetic anisotropy
traces, such as those in Figure 2C, obtained
under pseudo-first-order conditions. The gradient of the line of best
fit for each temperature was used to estimate kon which is shown as black circles in an Eyring-type plot in
part C. η at each temperature was calculated according to the
empirical relation described by Kestin et al:[31] ln(η/η293) = [(293 – T)/(T – 177)][1.2364 – 1.37 ×
10–3(20 – T) + 5.7 ×
10–6(20 – T)2], where η293 is 1.002 × 10–3 Pa s. (D) Eyring-type plot for koff,
calculated according to koff = Kdkon. In generating
the straight line fits in parts C and D, data were weighted inversely
according to their variance. In part C, the open red circles represent
estimates of kon obtained using the straight
line fit for koff in part D and measured Kd values in part A.
Solutions of FITC-cMyb were
mixed rapidly with higher concentration solutions of KIX, and the
resulting anisotropy increase of FITC monitored using stopped-flow
anisotropy. Under these pseudo-first-order conditions, the observed
anisotropy increase was observed to fit well to a single exponential
(Figure 2c). The dependence of the apparent
rate constant on the KIX concentration could then be used to provide
estimates for the association rate constant and dissociation rate
constant.Temperature dependence of the rate and equilibrium constants for
the interaction between FITC-cMyb and KIX in pH 7.4 100 mM sodium
phosphate buffer. (A) Kd at various temperatures
obtained from the data in Figure 2B. (B) Apparent
rate constants from single exponential fits of kinetic anisotropy
traces, such as those in Figure 2C, obtained
under pseudo-first-order conditions. The gradient of the line of best
fit for each temperature was used to estimate kon which is shown as black circles in an Eyring-type plot in
part C. η at each temperature was calculated according to the
empirical relation described by Kestin et al:[31] ln(η/η293) = [(293 – T)/(T – 177)][1.2364 – 1.37 ×
10–3(20 – T) + 5.7 ×
10–6(20 – T)2], where η293 is 1.002 × 10–3 Pa s. (D) Eyring-type plot for koff,
calculated according to koff = Kdkon. In generating
the straight line fits in parts C and D, data were weighted inversely
according to their variance. In part C, the open red circles represent
estimates of kon obtained using the straight
line fit for koff in part D and measured Kd values in part A.Initial attempts to follow the kinetics of the binding process
using stopped-flow anisotropy at 25 °C had mixed results. Although
it was clear that in principle a change could be observed, the reaction
was too rapid to reliably measure rates under the conditions required
in order to populate the complex sufficiently for a reasonable signal
change (data not shown). Instead, these experiments were performed
at a range of temperatures between 5 and 20 °C. As can be seen
from Figure 2, as the temperature is decreased,
the observed signal change increases, predominantly as a result of
higher final complex concentrations.The kinetic data are consistent
with a two-state equilibrium, with
no populated intermediates. Stopped-flow anisotropy kinetics traces
were all fit well by a single exponential. There was a small decrease
in FITC fluorescence upon mixing FITC-cMyb with KIX, which did not
take place on mixing with buffer alone. This change reflects a difference
in quantum yield, related to the fluorophore environment, between
the free and bound forms of the peptide. Although subject to higher
error, the rates obtained fitting these kinetic traces agreed with
those from anisotropy (Figure S3A, Supporting
Information), which also suggests there are no populated intermediates.
Finally, the Kd estimates obtained purely
from kinetic data using (kon/kapp,0M) are similar to those obtained from equilibrium
measurements (Figure S3B, Supporting Information). The apparent rate constants for each temperature are plotted against
concentration in Figure 3B. The data fit well
to straight lines, with no evidence of plateau toward the higher concentrations.
In the case of a two-state equilibrium, the intercept (kapp,0M) and gradient in these plots simply represent the
dissociation and association rate constants, respectively.Both
the association and dissociation rate constants increase with
temperature (Figure 3B). The temperature dependence
of the dissociation process, which is first-order, is expected to
stem solely from the free energy difference between the bound state
and the transition state, in analogy with results from protein folding.[32] According to transition state theory, an Eyring
plot (Figure 3C) may therefore be used to determine
the enthalpic barrier for dissociation. Over such a short temperature
range, ln(koff/T) appears
linear with 1/T, and it is not possible to estimate
any change in heat capacity. However, the gradient of the straight
line provides an estimate for the enthalpic barrier, ΔHTS-b = 19.7 ± 1.2 kcal/mol.The temperature dependence of the bimolecular association process
is likely to be more complex. In interactions between two folded proteins,
the rate constant for association can be considered to be the product
of three terms; the proportion of collisions with the correct orientation
to proceed (A), the collision frequency which is
proportional to T/η, and an activation term
to account for the proportion of collisions with sufficient thermal
energy, to form the transition state (e), as shown in eq 5.The maximum value of kon is therefore
equal to the frequency of collisions between correctly aligned molecules,
and occurs when the activation energy is zero. In this case, the reaction
is simply diffusion-limited. In such a situation, once the association
rate constant is corrected for the collision rate, there should be
no further dependence upon the temperature. This is clearly not the
case for the association between FITC-cMyb and KIX, since the gradient
of the line in Figure 3C is nonzero. The gradient
of the line might be used to form an estimate of the apparent activation
energy for the association process under the conditions used of 10.9
± 0.7 kcal/mol. This is not, however, necessarily the same as
the enthalpy difference between the free state and transition state.[33]In this case, the two proteins are not
both folded initially. This
could further complicate analysis of the association rate because
the starting structure of the peptide could also alter with temperature.
Changes in the secondary structure of FITC-cMyb and KIX were examined
using CD for temperatures between 10 and 80 °C (Figure S4, Supporting Information). Apparent nonreversibility
for the process, indicative of aggregation that occurred at higher
temperatures, makes the results difficult to interpret quantitatively.
However, it is clear that even over the small temperature range we
conducted kinetic experiments over there are changes in the secondary
structure of the FITC-cMyb, and remarkably also in KIX. The latter
undergoes a cooperative unfolding transition but with a folded baseline
indicative of helix fraying in the temperature range used in these
studies.
Ionic Strength Dependence
At the pH values used in
these studies, FITC-cMyb and KIX are expected to be opposite in charge
(−2.9 and 3.1, respectively). To determine the influence of
nonspecific long-range electrostatics upon the association rate constant,
further experiments were performed at a range of ionic strengths.Separate solutions of FITC-cMyb and KIX were incubated in MOPS buffers
of equal ionic strength at 10 °C. The solutions were rapidly
mixed and association monitored using stopped-flow fluorescence anisotropy.
The ratio of FITC-cMyb to KIX was around 1:1 or 1:2. Pseudo-first-order
conditions clearly do not apply in this case. Kinetics traces were
fit instead to eq 3 (Methods), by fixing Kd to the value estimated
using equilibrium titration curves (Figure 4A and Figure S5A, Supporting Information) for each of the buffer conditions. This strategy was chosen because
it enabled estimates of the association rate constant to be obtained
from single kinetic traces and relatively low concentrations of KIX.[14] Evidence in support of extracting kon using this approach (Figure 4B, closed circles), which depends upon the two-state nature of the
process, is provided by estimates obtained using a pseudo-first-order
strategy at both low and high ionic strengths (Figure 4B, open circles) which are very similar. Example traces with
associated residuals, which demonstrate the quality of the fit, are
shown in Figure S6 (Supporting Information). The equilibrium and association rate constants were surprisingly
insensitive to the ionic strength of the solution. Over a 75-fold
increase in ionic strength (from 10 to 750 mM), kon, decreases just over 2-fold, rapidly approaching a
plateau value. Fitting these data to a Debye–Huckel-like approximation
(Figure 4B, eq 4, black
line) enables extrapolation of the rate constant to infinite ionic
strength of (7.7 ± 0.5) × 106 M–1 s–1,[34] thereby removing
the effect of long-range electrostatic interactions. A smaller relative
decrease in the dissociation rate constant with increased ionic strength
was also observed.
Figure 4
Equilibrium and rate constants for the interaction between
FITC-cMyb
and KIX in pH 7.30 ± 0.02 MOPS buffers of varying ionic strength
at 10.0 °C. (A) Equilibrium dissociation constants extracted
from binding affinity experiments (Figure S5A, Supporting Information). (B and C) Association and dissociation
rate constants extracted from fitting stopped-flow kinetic traces
obtained by mixing FITC-cMyb and KIX in approximately equal concentrations
to eq 3. Error bars represent the error in the
fit. In part B, the open circles represent independent estimates obtained
using an alternative pseudo-first-order approach (Figure S7, Supporting Information). The solid line represents
the best fit to a Debye–Huckel-like approximation of charge
screening (eq 4).
Equilibrium and rate constants for the interaction between
FITC-cMyb
and KIX in pH 7.30 ± 0.02 MOPS buffers of varying ionic strength
at 10.0 °C. (A) Equilibrium dissociation constants extracted
from binding affinity experiments (Figure S5A, Supporting Information). (B and C) Association and dissociation
rate constants extracted from fitting stopped-flow kinetic traces
obtained by mixing FITC-cMyb and KIX in approximately equal concentrations
to eq 3. Error bars represent the error in the
fit. In part B, the open circles represent independent estimates obtained
using an alternative pseudo-first-order approach (Figure S7, Supporting Information). The solid line represents
the best fit to a Debye–Huckel-like approximation of charge
screening (eq 4).Over this range of ionic strength, there was no significant
change
in the secondary structure of the KIX or FITC-cMyb as assessed by
CD spectroscopy (Figure S5B, Supporting Information).
Evaluation of Previous Experimental Estimates of Basal Association
Rates
There have been relatively few studies of the ionic
strength dependence of protein–protein association rates.[35−45] We summarize the observed basal association rate constants in Figure 5, and a short paragraph concerning each system is
included in the Supporting Information.
As yet, the sample size is too small to make fair comparisons between
complexes of folded proteins, as compared with those from IDPs. This
is especially the case because we expect some bias in the data, as
ionic strength tests for electrostatic steering are more likely to
be performed where fast association has been observed. Figure 5 demonstrates that, despite this potential bias
toward fast associating systems, the basal association rate for the
apparently two-state association between cMyb and KIX is the highest
we have found reported for protein–protein association. As
a result of the apparent activation energy required for association,
the basal kon will have a significant
temperature dependence. Since the majority of basal kon were determined at 25 °C, the results of the temperature
dependence study were used to estimate the basal kon at 25 °C to facilitate comparison (open red circles,
Figure 3C, see Methods).
Figure 5
Estimated values for the basal association rate constant collated
from studies where protein–protein association was studied
over a range of ionic strengths (see Methods). Dotted and dashed lines represent the median association rate
constants for complexes of folded and disordered proteins, respectively.[14]
Estimated values for the basal association rate constant collated
from studies where protein–protein association was studied
over a range of ionic strengths (see Methods). Dotted and dashed lines represent the median association rate
constants for complexes of folded and disordered proteins, respectively.[14]Taking a separate approach to estimating basal rate constants,
we can consider simply all reported association rate constants for
complexes formed from folded proteins and IDPs. Values collated previously
show these vary over many orders of magnitude; however, the distribution
peaks at around 105–106 M–1 s–1.[14] The median values
are shown as dotted and dashed lines, respectively, in Figure 5. Of course, this may represent an overestimate
of the basal rate, since pairs of interacting proteins with opposite
charges are likely to be favored.
Discussion
Fast Association
of cMyb and KIX
Association kinetics
for this complex have recently been reported by Gianni et al., for
a pseudo-wild-type of KIX with a single point tryptophan mutation
in the binding site (and an attached his-tag).[46] The complex formed has a 3-fold lower binding affinity
than that reported here at 25 °C, and relatively similar buffer
conditions. We tested the effect of a his-tag attached to KIX and
found that it caused only a very modest increase in association and
dissociation rates under these ionic strength conditions (Figure S8, Supporting Information).A relatively short
extrapolation of our temperature-dependent estimates of koff suggests that at this temperature we would expect koff = 230 ± 20 s–1, which
combined with our equilibrium measurements suggests that kon will be around (2.2 ± 0.2) × 107 M–1 s–1. This compares very
favorably with the estimate of (2.5 ± 0.1) × 107 M–1 s–1 obtained by Gianni et
al.,[46] and potentially suggests that neither
perturbation, i.e., point mutation or fluorophore labeling, has significantly
affected the association binding kinetics.Although these rates
are fast, they are nothing remarkable in themselves.
Electrostatic rate enhancement is known to significantly increase
association rates, in some cases by several orders of magnitude, and
at the pH values used in these studies cMyb and KIX are expected to
be oppositely charged. The most famous example of such rate enhancement
is for the two folded proteins barnase and barstar, which have been
described as “ultrafast” associating proteins. At low
ionic strengths, the reported kon is over
5 × 109 M–1 s–1; however, extrapolation to infinite ionic strength to obtain an
estimate for the basal rate in the absence of long-range electrostatic
forces reduces this to only around 105 M–1 s–1.[39] However, our
investigation of the ionic strength dependence has shown that for
cMyb and KIX there is a surprisingly small degree of electrostatic
rate enhancement. In the absence of electrostatic rate enhancement,
the association rate constant is (7.7 ± 0.5) × 106 M–1 s–1 at 10 °C, despite
the presence of an activation barrier. To make this more comparable
to the results of similar studies, which are mostly conducted at 25
°C, we note that the results of the temperature dependence study
suggest that at 25 °C the rate will be around 2.7 times higher
than that at 10 °C, i.e., (2.1 ± 0.2) × 107 M–1 s–1 (Figure 3C, open red circles). This value is remarkably high. Previous
experimental results (Figure 5), Brownian dynamics
simulations,[47] and theoretical considerations[48] with pairs of ordered proteins have all concluded
that diffusion-controlled processes have association rates in the
range 104–106 M–1 s–1.
Previous Theoretical and Computational Insights
into Basal Association
Rates
In the absence of applied external forces, such as
those provided by an electric field, the Smoluchowski limit for the
association rate constant of two spherical particles that form a complex
whenever they collide is around 109–1010 M–1 s–1. However, in the absence
of long-range interactions, protein–protein associations never
reach these rates, because proteins are not equally “reactive”
over their whole surface. For protein associations between two freely
diffusing folded proteins, the following equation has been suggested
to provide an upper limit to the association ratewhere A is a factor introduced
to account for the proportion of collisions where the correct relative
orientations are obtained, D is the relative translational
diffusion coefficient, and R is the sum of the radii.
Again, the upper limit is reached when all collisions result in complex
formation. Simply modeling A as the proportion of
collisions where the proteins are observed to contact in the complex
structure, to form a so-called geometric rate, is known to underestimate
observed rate constants, which are in the range 104–106 M–1 s–1, by around 2
orders of magnitude.[34] This apparent discrepancy
was solved after observations from Brownian dynamics simulations,
where proteins were frequently seen to recollide shortly after an
initial collision, potentially having had time to change in their
orientation, a so-called diffusive entrapment effect.[49] Of course, further complications arise from the fact that
proteins are not spherical, and do not have charges distributed evenly
over their surfaces. As a result of this, Brownian dynamics simulations
to predict association rates are an attractive option.[47] Northrupp and Erickson used simulations of this
type and found that, for spherical molecules with four contact points
arranged in a 17 Å by 17 Å square, the basal association
rate was around 105 M–1 s–1.[49] We note that the computational calculations
required by this approach would be significantly more complicated
for a disordered protein. More recently, Qin et al. developed a web
server, TransComp, to which protein complex structures can be uploaded.[50] They obtain an overall prediction for the association
rate (based on transient-complex theory), which is the product of
a basal-rate constant calculated from force-free Brownian dynamics
simulations and a Boltzmann factor to account for electrostatic rate
enhancement. In the authors’ assessment of over 100 protein
complexes, the basal association rate estimations range from 3 ×
104 to 4 × 106 M–1 s–1. This range also seems to correspond quite well with
the values for kon we have collated from
the literature (Figure 5).A more theoretical
approach to prediction of rates is taken by Schlosshauer and Baker,
who apply an analytical expression they developed for association
of spherical molecules with anisotropic reactivity.[48] Reactions are assumed to occur once orientations are within
specified limits as favorable short-range interactions “guide”
molecules into the bound complex. The association rates obtained using
their angular constraints again range from 104 to 106 M–1 s–1.
Mechanism for
Association
This extremely high association
rate constant is apparently inconsistent with a pure conformational
selection mechanism for coupled folding and binding of FITC-cMyb to
KIX. This mechanism can be considered as an extension of the standard
protein association of two ordered proteins, where the concentration
of “active” peptide is lower, and thus acts to slow
the association process. If the transition between folded and unfolded
states in the ensemble is faster than the time scale for association,
then the association rate is simply multiplied by the proportion of
the IDP that exists in the correct conformation. It is difficult to
estimate what this proportion might be; however, a good upper limit
may be provided by our CD measurements, which suggest around 30% α-helix
exists in the peptide ensemble. If 30% of the peptide is in a fully
helical state (the correct conformation), then this maximizes the
proportion of binding competent species to 0.3. We should therefore
expect the association rate to be more than 3-fold lower than the
upper limit for diffusion-controlled interactions between folded proteins,
whereas the rate we observe is higher than any reported experimentally
obtained or computationally predicted values we have found.In contrast, the induced-fit (or dock-and-coalesce) mechanism provides
a theoretical basis for modest rate enhancement over the situation
for folded–folded protein interactions.In transient
complex theory, the protein pairs move diffusively
(possibly enhanced by electrostatics) until they come within some
capture radius and form an encounter complex, from which they may
reach the bound complex if they have sufficient energy. The term fly
casting has been used to describe a mechanism whereby unstructured
protein molecules may have greater capture radii than their ordered
counterparts.[12] As Wolynes and coauthors
of this original fly casting paper themselves point out, the fly casting
effect only contributes a rate acceleration of around a factor of
1.6.[12] This modest effect might be enough
to explain the enhancement we have observed for the cMyb/KIX system.
However, it has been noted that an unstructured protein also has slower
translational diffusion than a folded one, which will act to counteract
this increase in rate.[15] Huang et al. performed
simulations of the association of variably structured versions of
the peptide pKID with KIX. They observed that, despite greater effective
capture radii, the capture rate was actually reduced as a result of
disorder. Despite this, they did observe faster association when pKID
was more disordered. The 2.5-fold increase in binding rate was instead
due to a significant reduction in the binding free energy barrier
(which is crossed after capture) as the peptide became more disordered.
This effect could explain faster association rates in general for
disordered proteins than ordered ones.Our temperature dependence
data clearly indicate that some additional
activation energy is required for complex formation. After correction
for the expected number of molecule collisions, the rate is still
temperature dependent (Figure 3), which indicates
the presence of an activation barrier that slows the association process.
We stop short of interpreting the gradient of this plot (10.9 ±
0.7 kcal/mol) as the enthalpic barrier for folding. First, from CD
denaturation studies (Figure S4, Supporting Information), it is clear that even over this narrow range of temperature there
are conformational changes in the FITC-cMyb peptide and KIX. Such
changes in KIX with temperature have been observed previously.[51] We therefore cannot be confident that the observed
changes are not due to structural differences in one or both of the
free subunits. Second, more in-depth theoretical derivations for equations
such as eq 5 suggest such results be interpreted
cautiously.[33] We do not know how the entropy
changes during this transition, so it is not possible to estimate
the fraction of successful collisions from our data; however, the
presence of a barrier has certainly been demonstrated. Thus, flexibility
in cMyb may increase the chance of conversion from any encounter complex
(over that for an ordered peptide) and cause rate enhancement over
that expected if cMyb were in a fully folded state. This could explain
the underestimation of the basal association rate provided for cMyb/KIX
by the TransComp webserver. The algorithm assumes rigid structures
for the two proteins, and predicts a basal association rate (3.6 ×
105 M–1 s–1 at 298
K) for this complex—around 2 orders of magnitude lower than
that obtained, where 12 residues are in contact in the encounter complex.
In the authors’ assessment of the predictive power of their
algorithm, 85% of rates are within 1 order of magnitude of that predicted
(including electrostatic corrections), and no values are over- or
underestimated to this extent, so this overestimation does appear
to be an outlier.[50] We note again that
such an interpretation, which relies on the flexible nature of the
peptide, seems to exclude a pure conformational selection mechanism.
This is consistent with the results of Gianni et al., who found that
the association rate of cMyb peptide with KIX only increased around
1.4-fold on partial stabilization of the cMyb helix by TFE, whereas
the dissociation rate decreased around 5-fold.[46]
Rationale for the Fast Association
Reducing the activation
barrier increases the fraction of successful collisions, rather than
altering the upper limit obtained considering the geometry. The rate
we have reported is around an order of magnitude higher than the standardly
quoted realistic upper limit for protein–protein association.
The simplest explanation for the data might therefore be that the
upper limit for association is underestimated in this case. This could
arise if the encounter complex for cMyb/KIX requires fewer contacts
than average. Alternatively, it might be a result of the relatively
large interface size (in comparison with the cMyb peptide). The upper
limit for association rates of diffusional processes is relatively
insensitive to both the actual size of the interacting proteins and
their relative sizes. This can be seen by substitution of Stokes–Einstein
relations into the expression for the Smoluchowski diffusion-limited
rate for bimolecular reactions[31]where η is the solution viscosity
and RA and RB are the
radii of the proteins A and B. In other words, the effects of diffusional
rate and “target area” largely counteract each other.
Using the equation, the predicted upper limit is 7 × 109 M–1 s–1 for our system (see Methods), which falls well within the range 109–1010 M–1 s–1 usually quoted. However, this argument applies for the original
version of the Smoluchowski limit, which the cMyb/KIX system has not
exceeded. The adapted version includes the factor A that corresponds to the fraction of correctly aligned collisions.
Attempts to estimate the value of A have been for
protein–protein association between folded proteins, where
the “reactive patches” constitute a small proportion
of the protein surface. In contrast, the cMyb peptide used here forms
a single helix when bound, a large proportion of which contacts KIX,
so the proportion of reactive surface may be higher.
Ionic Strength
Dependence of Rate Constants
Ionic strength
was observed to have little effect on the association rate, despite
the proteins having opposite charge. This suggests that the amount
of translational and rotational electrostatic steering (due to the
charges and dipoles of the proteins, respectively) is marginal. The
latter is certainly not surprising; cMyb does not have a significant
dipole moment even when bound in the complex. In fact, the contact
between the two is primarily between hydrophobic residues (Figure 6), which may explain the relative insensitivity
of the association rate to ionic strength. The importance of hydrophobic
residues in the association process has previously been highlighted
by mutational studies, where single and double point mutation of hydrophobic
residues Ile 295, Leu298, and Leu302 of cMyb to alanine, isoleucine,
or valine caused partial disruption of binding, whereas mutations
of charged residues (to alanine) within the same region had only minimal
effects.[52]The charge
distribution for FITC-cMyb (ribbon) and KIX (spheres)
is shown on the structure for the complex, based on pdb 1SB0. Positively charged
residues are shown as red spheres (KIX) or sticks (cMyb). Negatively
charged residues are shown as blue spheres (KIX) or sticks (cMyb).
The fluorophore FITC, which is superimposed on the structure, is expected
to be predominantly in its dianionic form, and is shown in blue sticks.
Figure prepared using PyMol (The PyMOL Molecular Graphics System,
version 1.6, Schrödinger, LLC).There is a gradual decrease of koff with ionic strength; however, as has been observed in previous work
with protein–protein complexes, the ionic strength had a relatively
small effect on the dissociation rate constant.[34]
Biological Consequences of Rate Constants
The rate
constants for association and dissociation must both be consistent
with the requirements for the biological function of the complex.
In order to respond to changing environments, the transcription machinery
needs to assemble and disassemble quickly. The dissociation rate,
which will exceed 300 s–1 under physiological conditions,
clearly meets this requirement. Association rates depend upon local
physiological concentrations of the proteins, which will in turn depend
on factors such as expression and spatial arrangement within the nucleus.[53] However, the association rate constant we have
observed is remarkably high. This means that under physiological conditions
the complex might well achieve local pseudoequilibrium, so that the
cell controls the extent of transcription directly through protein
concentrations or post-transcriptional modifications to complex binding
affinity. The high kon we observed is
very similar to that reported for the interaction between the competing
ligand pKID with KIX of 7 × 106 M–1 s–1, which is also proposed to bind by an induced
fit mechanism.[6]
Conclusion
From
equilibrium CD measurements, we were able to confirm that
the peptide cMyb does undergo some folding upon binding to its partner
KIX domain from CBP. This interaction is therefore an example of a
coupled folding-and-binding process. After correction for long-range
electrostatic effects, the association process is the fastest published
protein–protein interaction. This is of interest because of
speculation in the field regarding the relative association rates
for folded and disordered proteins with their partners. The rate is
considerably higher than that predicted by an algorithm designed for
folded proteins which accounts for effects such as size and interface
size. This could be rationalized if the disordered nature of the peptide
were to result in a lower activation barrier for the conversion from
encounter complex to bound complex, as has been reported from simulations
between pKID and KIX.[15] Since this system
shows very little ionic strength dependence, it is a good candidate
for investigations of the effects of disorder and protein size on
association rates.
Authors: D Parker; M Rivera; T Zor; A Henrion-Caude; I Radhakrishnan; A Kumar; L H Shapiro; P E Wright; M Montminy; P K Brindle Journal: Mol Cell Biol Date: 1999-08 Impact factor: 4.272
Authors: Kirk J McManus; David A Stephens; Niall M Adams; Suhail A Islam; Paul S Freemont; Michael J Hendzel Journal: PLoS Comput Biol Date: 2006-09-08 Impact factor: 4.475
Authors: Joseph M Rogers; Vladimiras Oleinikovas; Sarah L Shammas; Chi T Wong; David De Sancho; Christopher M Baker; Jane Clarke Journal: Proc Natl Acad Sci U S A Date: 2014-10-13 Impact factor: 11.205