Salt bridges are known to play an essential role in the thermodynamic stability of the folded conformation of many proteins, but their influence on the kinetics of folding remains largely unknown. Here, we investigate the effect of Glu-Arg salt bridges on the kinetics of α-helix folding using temperature-jump transient-infrared spectroscopy and steady-state UV circular dichroism. We find that geometrically optimized salt bridges (Glu- and Arg+ are spaced four peptide units apart, and the Glu/Arg order is such that the side-chain rotameric preferences favor salt-bridge formation) significantly speed up folding and slow down unfolding, whereas salt bridges with unfavorable geometry slow down folding and slightly speed up unfolding. Our observations suggest a possible explanation for the surprising fact that many biologically active proteins contain salt bridges that do not stabilize the native conformation: these salt bridges might have a kinetic rather than a thermodynamic function.
Salt bridges are known to play an essential role in the thermodynamic stability of the folded conformation of many proteins, but their influence on the kinetics of folding remains largely unknown. Here, we investigate the effect of Glu-Argsalt bridges on the kinetics of α-helix folding using temperature-jump transient-infrared spectroscopy and steady-state UV circular dichroism. We find that geometrically optimized salt bridges (Glu- and Arg+ are spaced four peptide units apart, and the Glu/Arg order is such that the side-chain rotameric preferences favor salt-bridge formation) significantly speed up folding and slow down unfolding, whereas salt bridges with unfavorable geometry slow down folding and slightly speed up unfolding. Our observations suggest a possible explanation for the surprising fact that many biologically active proteins contain salt bridges that do not stabilize the native conformation: these salt bridges might have a kinetic rather than a thermodynamic function.
The folded conformation of proteins
is determined by a complicated interplay of hydrophobic effects, van
der Waals forces, hydrogen bonding, and electrostatic interactions,
and their relative contributions are under ongoing discussion. The
role of electrostatic interactions between oppositely charged residues
(salt bridges) has proven to be particularly ambiguous.[1−3] Because the energetically favorable Coulomb interaction between
salt-bridged charge pairs is often counteracted by entropy loss and
energetically unfavorable desolvation,[1] the net free-energy contribution of a salt bridge can range from
highly stabilizing to highly destabilizing.[4−8] An interesting example of the latter is the Arc repressor
of bacteriophage P22, for which mutation studies have shown that a
buried Glu-Argsalt bridge destabilizes the native
conformation.[6] Similarly, the formation
of the Asp-Argsalt bridge buried in the protein core of human salivary
α-amylase increases the free energy of the folded state by as
much as 44 kJ mol–1.[7] The question arises as to the evolutionary pressure for the conservation
of such destabilizing salt bridges in biologically active proteins.It has been speculated that salt bridges might influence not only
the thermodynamic stability of the folded conformation but also the
folding kinetics.[9−12] Molecular dynamics (MD) simulations even suggest that Glu-Lyssalt
bridges accelerate the formation of amyloids by acting as intramolecular
folding nucleates.[13] However, the relation
between salt bridges and protein folding kinetics remains speculative,
and whereas the thermodynamic effects of salt bridges have been extensively
studied,[1−8] experimental data on how salt bridges affect folding kinetics is scarce.[14−16] Fluorescence stopped-flow experiments indicate that
the formation of electrostatic interactions in the early stage of
the folding pathway of Barnase is likely to facilitate folding by
stabilizing the transition state.[14] On
the other hand, transient temperature-jump (T-jump)
infrared (IR) measurements indicate an unfavorable effect of salt-bridge
formation on the folding kinetics of the α-helical neuroactive
peptide Conantokin-T.[16] To obtain a better
understanding of the effects of salt bridges on folding kinetics,
we here report on a systematic investigation of the effect of Glu-Argsalt bridges on the folding and unfolding rates of α-helical
peptides. We study four alanine-based α-helical peptides, each
of which has a nearly identical amino-acid composition with three
repeating Glu (E) and Arg (R) residue pairs that only differ in E-R
spacing and orientation (see Table 1 and Figure 1). Such short, helix-forming peptides with well-defined
salt-bridge-forming residue pairs provide excellent model systems
for understanding the impact of electrostatic side-chain interactions
on protein stability and folding.[5]
Table 1
Sequence, Apparent Transition Enthalpy
(ΔHapp‡), and Entropy (ΔSapp‡) for the Folding (U → F) Transitions of the Four Investigated
Peptides at Neutral pH (Salt Bridge Formation) and at Acidic pH (No
Salt Bridge Effects)
pH = 7.0 (with
salt
bridge)
pH = 2.5 (no salt
bridge)
sequencea
peptidea
ΔHapp (U→F)‡ (kJ mol–1)
ΔSapp (U→F)‡ (J mol–1 K–1)
ΔHapp (U→F)‡ (kJ mol–1)
ΔSapp (U→F)‡ (J mol–1 K–1)
Ac-A(EAAAR)3A-NH2
(i + 4)ER
16.6 ± 1.2
–62.0 ± 4.0
15.3 ± 1.7
–69.3 ± 5.8
Ac-A(AEAAR)3A-NH2
(i + 3)ER
13.1 ± 1.1
–80.1 ± 3.6
17.5 ± 3.6
–67.3 ± 12.3
Ac-A(RAAAE)3A-NH2
(i + 4)RE
11.9 ± 1.9
–84.7 ± 6.4
14.1 ± 3.4
–75.0 ± 11.8
Ac-A(ARAAE)3A-NH2
(i + 3)RE
5.2 ± 1.5b
–115.4 ± 5.1b
16.7 ± 3.0
–72.2 ± 10.3
Ac = acetyl; A
= alanine; E = glutamic
acid; R = arginine.
These
are asymptotic standard errors.[37]
Figure 1
(a,b) Schematic representation of the folded
structure of two of
the investigated peptides, showing the salt-bridging side chains Glu– (E) and Arg+ (R). (a) Peptide (i + 4)ER, in which E and R are spaced four peptide units
apart. (b) Peptide (i + 3)RE, in which R and E are
spaced three peptide units apart and in reverse order. Structures
optimized and rendered with Chimera.[17] (c)
Temperature-dependent Fourier transform infrared (FTIR) spectra of
peptide (i + 4)ER. The thermal difference spectrum
(green) reflects the conformational changes upon thermal unfolding.
The peptide concentration was 12 mM.
Ac = acetyl; A
= alanine; E = glutamic
acid; R = arginine.These
are asymptotic standard errors.[37](a,b) Schematic representation of the folded
structure of two of
the investigated peptides, showing the salt-bridging side chains Glu– (E) and Arg+ (R). (a) Peptide (i + 4)ER, in which E and R are spaced four peptide units
apart. (b) Peptide (i + 3)RE, in which R and E are
spaced three peptide units apart and in reverse order. Structures
optimized and rendered with Chimera.[17] (c)
Temperature-dependent Fourier transform infrared (FTIR) spectra of
peptide (i + 4)ER. The thermal difference spectrum
(green) reflects the conformational changes upon thermal unfolding.
The peptide concentration was 12 mM.To determine the folding and unfolding rates, we use a combination
of steady-state UV circular dichroism (UV-CD) and T-jump transient-IR measurements. The thermal unfolding curves of
these peptides have a sigmoidal shape, and from a singular-value decomposition
of the temperature-dependent CD spectra and global fitting, we find
that the folding can be effectively described by a two-state model
(see the Supporting Information). Comparison
of the UV-CD and FTIR thermal melting curves shows no differences
in the melting curves derived from the two different techniques (Figure
S4, Supporting Information), further supporting
effective two-state folding behavior. The thermodynamic stabilities
follow the trend (i + 4)ER > (i +
3)ER ≈ (i + 4)RE > (i +
3)RE,
indicating that the α-helix-stabilizing effect is largest for
ER-ordered salt bridges in which E and R are spaced four peptide units
apart (approximately one α-helical turn; see Figure 1a), as was reported previously.[5] This order and distance dependence can be explained from
sterical considerations and side-chain rotameric preferences (see
the Supporting Information). Complementary
MD simulations confirm that the thermal unfolding transition of the
peptides involves breaking of the salt bridges (see the Supporting Information).We investigate
the folding/unfolding kinetics by monitoring the
re-equilibration of the peptides in the amide I′ spectral region
in response to a nanosecond T jump,[18−21] starting from various initial temperatures. Figure 2a shows the solvent-corrected relaxation kinetics of peptide
(i + 4)ER at neutral pH following a T jump from 301 to 307 K. The absorption change ΔA, presented as function of frequency and time delay, shows negative
(blue) and positive (red) contributions reflecting the transient blue
shift of the amide I′ band of the peptide as it undergoes conformational
re-equilibration. As can be seen in Figure 2b, the transient spectra at long times resemble the equilibrium FTIR
difference spectrum and exhibit the shape characteristic for the α-helix–coil
transition.[19] The T-jump-induced
transient absorption changes show an instantaneous response followed
by a well-resolved kinetic phase (Figure 2c).
The former is due to the intrinsic temperature dependence of the amide
I′ mode,[22] the latter arises from
the re-equilibration of the folded and unfolded populations. To confirm
this, we also measured the transient absorption changes of an aqueous
solution of N-methylacetamide, for which a very similar
instantaneous T-jump response, but no kinetic phase
is observed (Figure S6, Supporting Information). The relaxation kinetics at both 1630 cm–1 (decay
of the α-helical population) and 1658 cm–1 (increase of the random coil population), for each peptide, and
at all final T jump temperatures and pH values can
be well described by a single-exponential function (Figure S7, Supporting Information). This single-exponential
kinetics indicates that the α-helices effectively behave as
two-state folders,[23] as already suggested
by the steady-state UV-CD and IR data. Such effective two-state behavior
is often observed for α-helical peptides.[16,24−30] It is believed to arise from a conformational free-energy landscape
in which the α-helical and random coil ensembles are two broad
free-energy minima separated by a single barrier that is higher than
the barriers within these broad minima.[25−27] When the free-energy
barrier separating the two free-energy minima is much higher than
the barriers between the conformational microstates within each of
them, intrabasin relaxation proceeds on time scales much faster than
interbasin population exchange.[31−34] The observation of single-exponential behavior indicates
that the relative population distributions of all of the microstates
relax to a pre-equilibrium within the time resolution of our T-jump pulse (∼5 ns). After this pre-equilibration,
the relative populations of all microstates remain constant, and the
population redistribution between the α-helical and random coil
ensembles gives rise to a single effective kinetic time scale, which
reflects the crossing of the main free-energy barrier of the folding
process.[33] The effective folding and unfolding
rates (kF,eff and kU,eff) involving the crossing of the main free-energy barrier
can then be estimated using a kinetic two-state model.[33,34]
Figure 2
Relaxation
kinetics of peptide (i + 4)ER in the
amide I′ region following a T jump from 301
to 307 K at neutral pH (12 mM peptide concentration). (a) Absorption
change ΔA versus frequency and time. (b) ΔA for selected delay times compared to the (scaled) equilibrium
FTIR difference spectrum. (c) Relaxation kinetics at 1630 and 1658
cm–1. The relaxation kinetics are globally fitted
to a single-exponential decay function (solid curve), ΔA(t) = A0 + A1 exp(−t/τ),
with an observed time constant of τ = 100 ± 4 ns.
Relaxation
kinetics of peptide (i + 4)ER in the
amide I′ region following a T jump from 301
to 307 K at neutral pH (12 mM peptide concentration). (a) Absorption
change ΔA versus frequency and time. (b) ΔA for selected delay times compared to the (scaled) equilibrium
FTIR difference spectrum. (c) Relaxation kinetics at 1630 and 1658
cm–1. The relaxation kinetics are globally fitted
to a single-exponential decay function (solid curve), ΔA(t) = A0 + A1 exp(−t/τ),
with an observed time constant of τ = 100 ± 4 ns.We estimate the effective folding
and unfolding rates (kF,eff and kU,eff) involving the crossing of the main free-energy
barrier at a particular
temperature from a combined analysis of the experimentally observed T jump relaxation rate (kR)
and the folding equilibrium constants (Keq) deduced from our temperature-dependent CD measurements (because kR = kF + kU and Keq = kF/kU).[23,35] The results are shown in Figures 3 and 4 (see the Supporting Information for plots of all kR, kF,eff, and kU,eff). To specifically
determine the impact of the salt bridge on the kinetics, each of the
peptides was also studied at acidic pH. At neutral pH, both the Glu
and Arg side chains are charged, and formation of an ER- or RE-type
salt bridge is possible, whereas at acidic pH (pH = 2.5), Glu is neutral,
making salt-bridge formation impossible. We verified that the carboxylate
groups of the Glu residues are completely protonated from the IR response
of the COO– and COOH groups (see the Supporting Information).
Figure 3
Eyring plots of the effective
folding rates (kF,eff) of each of the
peptides measured at (a) acidic
and (b) neutral pH. The lines are least-squares fits. For better comparison,
in (b), the fits to kF,eff at acidic pH
(no salt bridges) are shown as dotted lines for peptides (i + 4)ER and (i + 3)RE. The values obtained
for ΔHapp (U→F)‡ and ΔSapp (U→F)‡ at acidic and neutral pH are listed in Table 1
Figure 4
Eyring plots of the effective
unfolding rates (kU,eff) of each of the
peptides measured at (a) acidic
and (b) neutral pH. The lines are least-squares fits. The dotted lines
in (b) correspond to the linear fit of kU,eff measured at acidic pH of peptides (i + 4)ER and
(i + 3)RE. The values obtained for ΔHapp (F→U)‡ and ΔSapp (F→U)‡ at acidic and neutral pH are listed in Table S2 (Supporting Information).
Eyring plots of the effective
folding rates (kF,eff) of each of the
peptides measured at (a) acidic
and (b) neutral pH. The lines are least-squares fits. For better comparison,
in (b), the fits to kF,eff at acidic pH
(no salt bridges) are shown as dotted lines for peptides (i + 4)ER and (i + 3)RE. The values obtained
for ΔHapp (U→F)‡ and ΔSapp (U→F)‡ at acidic and neutral pH are listed in Table 1Eyring plots of the effective
unfolding rates (kU,eff) of each of the
peptides measured at (a) acidic
and (b) neutral pH. The lines are least-squares fits. The dotted lines
in (b) correspond to the linear fit of kU,eff measured at acidic pH of peptides (i + 4)ER and
(i + 3)RE. The values obtained for ΔHapp (F→U)‡ and ΔSapp (F→U)‡ at acidic and neutral pH are listed in Table S2 (Supporting Information).Comparing the effective folding rates kF,eff of the four peptides in the absence of salt bridges (Figure 3a), we observe small differences, which are probably
caused by a dependence of the side-chain rotameric preferences (and
thus the helix-forming propensity) on the peptide sequence. As can
be seen in Figure 3b, the ability to form salt
bridges (neutral pH) significantly changes the folding dynamics. Interestingly,
we find that a salt bridge can both speed up and slow down the folding,
depending on the geometric orientation and relative distance between
the interacting residues. Notably, a geometrically optimized ER-oriented
salt bridge speeds up the rate of α-helix formation ((i + 4)ER, red data points), whereas a destabilizing RE-oriented
salt bridge slows down the folding ((i + 3)RE, purple
data points). Thus, inhibiting the formation of this unfavorable RE-oriented
salt bridge by lowering the pH speeds up the folding (data in Figure 3a and dotted line in Figure 3b). The effective folding rates at neutral pH show the same trend
as the stability of the folded conformation, namely. (i + 4)ER > (i + 3)ER ≈ (i + 4)RE > (i + 3)RE (see Figure S9, Supporting Information).For unfolding,
we find the opposite behavior (Figure 4); in
the presence of stabilizing ER-oriented salt bridges
(peptides (i + 4)ER and (i + 3)ER),
the effective rates of unfolding are distinctly slower. In contrast,
destabilizing RE-oriented salt bridges result in only marginally faster
unfolding (peptide (i + 3)RE). The effective unfolding
rates thus follow a trend exactly opposite to that of the effective
folding rates, and we can conclude that geometrically optimized salt
bridges not only speed up folding but can also serve as a kinetic
barrier to unfolding.We find that the effective folding and
unfolding rates exhibit
Eyring temperature dependence (Figures 3 and 4). The apparent transition enthalpies (ΔHapp‡) and entropies (ΔSapp‡), both for the folding (U →
F) and unfolding (F → U) transitions[14] of all peptides, are listed in Table 1 (see
Table S2 in the Supporting Information for
the unfolding parameters). The apparent transition enthalpy and entropy
of folding (ΔHapp (U→F)‡ and ΔSapp (U→F)‡) in the presence of salt bridges shows a dichotomy
between the peptides with ER- and RE-oriented salt bridges (Table 1). Peptides containing ER-oriented salt bridges
have significantly higher apparent transition enthalpies
of folding (ΔHapp (U→F)‡) compared to slow-folding peptides
that are destabilized by RE-type salt bridges. The unfavorable enthalpic
contribution of stabilizing salt bridges to ΔGU→F‡ implies that their accelerating effect on the folding rates must
originate from a substantial entropy–enthalpy compensation.
Indeed, our results show that the transition entropies of folding
ΔSapp (U→F)‡ of the ER-type peptides are significantly
higher compared to those of the slow-folding RE-oriented peptides
(Table 1), and we can conclude that the increased
folding rates in the presence of geometrically optimized salt bridges
are mainly an entropic effect (a change in ΔSapp (U→F)‡), reflecting an ordering rather than an energetic
effect of the salt bridge on the kinetics. A probable explanation
for this entropic effect could be that optimized salt bridges speed
up the folding by acting as a nucleation site, thereby limiting the
number of low free-energy backbone conformations and restricting the
time required for the conformational search of the entire protein
or peptide.To conclude, we find that salt bridges can have
a strong impact
not only on the thermodynamics of the investigated α-helical
peptides but also on the kinetics of folding and unfolding. It has
been speculated that such kinetic effects may explain the biological
significance of salt bridges for which an equilibrium (stabilizing)
function is of secondary importance, or even absent.[9,10,12] Such salt bridges might have
a kinetic rather than a thermodynamic function, for instance, by stabilizing
folding intermediates (but not necessarily the final folded state)
or by preventing the protein from following nonproductive folding
pathways in the early stages of the folding process.[11] Evidence for a kinetic function of salt bridges exists
for several proteins. The solvent-exposed Glu-Argsalt bridge in Staphylococcal nuclease contributes only marginally to the
stability of the native structure,[36] but
MD simulations suggest that these salt bridges impose significant
kinetic barriers, thereby preventing the protein from unfolding.[10] Furthermore, an Arg-Aspsalt bridge in triosephosphate
isomerase[9] and an Arg-Glusalt bridge in
mouse Paneth cell α-defensin cryptidin-4[12] are both believed to play a role during the folding process,
rather than to stabilize the native folds. One might speculate that
the kinetic effect of salt bridges on the folding of the peptides
observed here may thus be a more general phenomenon. This might provide
a possible evolutionary explanation for the presence of apparently
(namely, thermodynamically) nonfunctional salt bridges in many biologically
active proteins.
Authors: Evgeniia Salamatova; Ana V Cunha; Robbert Bloem; Steven J Roeters; Sander Woutersen; Thomas L C Jansen; Maxim S Pshenichnikov Journal: J Phys Chem A Date: 2018-02-22 Impact factor: 2.781