Abstract
Experimental studies of protein folding frequently are consistent with two-state folding kinetics. However, recent NMR relaxation dispersion studies of several fast-folding mutants of the Fyn Src homology 3 (SH3) domain have established that folding proceeds through a low-populated on-pathway intermediate, which could not be detected with stopped-flow experiments. The dispersion experiments provide precise kinetic and thermodynamic parameters that describe the folding pathway, along with a detailed site-specific structural characterization of both the intermediate and unfolded states from the NMR chemical shifts that are extracted. Here we describe NMR relaxation dispersion Φ-value analysis of the A39V/N53P/V55L Fyn SH3 domain, where the effects of suitable point mutations on the energy landscape are quantified, providing additional insight into the structure of the folding intermediate along with per-residue structural information of both rate-limiting transition states that was not available from previous studies. In addition to the advantage of delineating the full three-state folding pathway, the use of NMR relaxation dispersion as opposed to stopped-flow kinetics to quantify Φ values facilitates their interpretation because the obtained chemical shifts monitor any potential structural changes along the folding pathway that might be introduced by mutation, a significant concern in their analysis. Φ-Value analysis of several point mutations of A39V/N53P/V55L Fyn SH3 establishes that the β3–β4-hairpin already is formed in the first transition state, whereas strand β1, which forms nonnative interactions in the intermediate, does not fully adopt its native conformation until after the final transition state. The results further support the notion that on-pathway intermediates can be stabilized by nonnative contacts.
Keywords: chemical exchange, Carr–Purcell–Meiboom–Gill, Fyn SH3, protein folding intermediate, transition state
An understanding of the process(es) by which a protein folds from its unfolded state ensemble, U, into its native conformation, F, requires knowledge of the structural properties of the various states that populate its folding pathway(s), along with the kinetic and thermodynamic parameters that describe the energy landscape that drives the folding reaction. Although a description of the structural and energetic properties of F often is readily obtained by using standard biophysical approaches, intermediate states, I, that participate in the folding reaction are in general more difficult to quantify because of the fact that they usually are low-populated and may be formed only transiently (1, 2). Information about such “elusive” states, including transition states along the folding pathway, can be obtained indirectly, however, by monitoring the effects of changes in temperature, pressure, denaturant concentration, solvent, and/or point mutations on the folding/unfolding kinetics (1).
Solution-based NMR spectroscopy is a particularly powerful technique for quantifying processes that involve conformational exchange (3), such as protein folding. We previously have shown that Carr–Purcell–Meiboom–Gill (CPMG) relaxation dispersion NMR spectroscopy can be used to study folding events that occur on the millisecond time scale, so long as the exchange process involves states that are populated to 0.5% or higher (4–7). The NMR experiments enjoy a number of advantages over other spectroscopic measures that frequently deliver information that is averaged over all probes in the molecule or restricted to only one or two sites where probes are centered. First, by monitoring the line widths of NMR signals that derive from residues undergoing conformational exchange as a function of the application of radio-frequency pulses, the complete kinetics of the exchange process and the chemical shifts of the exchanging states can be obtained simultaneously from fits of the so-called relaxation dispersion data. Moreover, the chemical shifts of the excited states are site-specific probes of the extent of structure formation along the folding reaction. The fact that information about the folding process is obtained at many sites in the protein facilitates a distinction between two-state and three-state folding events (4, 5). In the case where the NMR relaxation data are best fit to a three-state folding model, it is even possible to distinguish between folding schemes of the form U ↔ I ↔ F, U ↔ F ↔ I, or I ↔ U ↔ F (7). Finally, relaxation dispersion experiments can be recorded in the solvent of choice, i.e., without denaturants that are necessary for most spectroscopic measurements of folding/unfolding rates that can render the detection of I states difficult.
In a series of previous studies, our laboratory used 15N CPMG relaxation dispersion NMR spectroscopy to study a number of fast folding mutants of the Fyn and Abp1p Src homology 3 (SH3) domains that fold via previously undetected low-populated on-pathway intermediates, and the structures of the excited states involved in the folding process have been characterized in detail (4–7). 15N chemical shifts demonstrate that state U is indeed unfolded, with very little or no residual structure. By contrast, however, the central β-sheet comprising strands β2, β3, and β4 (Fig. 1) is at least partially formed in I for both SH3 domains. Although qualitative information about the transition state ensembles (TS) connecting U, I and I, F could be obtained from the temperature dependencies of the extracted four rate constants that describe the U ↔ I ↔ F folding process, more detailed site-specific knowledge of the formation of structure in each TS was not available. In principle, such information can be obtained, however, through the protein-engineering method referred to as Φ-value analysis (1, 8–11). Here the effect of mutations on the folding/unfolding rates is monitored and recast in terms of changes in free energies that, so long as care is taken, can be interpreted in terms of the formation of structure in the TS at the site of mutation. Indeed, site-specific information about structure formation can be obtained for each state along the folding pathway that can include a pair of TS and I, in the case of a three-state folding process (see below).
Fig. 1.
Schematic representation of the secondary structure of a homology model of the A39V/N53P/V55L G. gallus Fyn SH3 domain, featuring the characteristic SH3 domain β-sandwich fold formed by the terminal (strands β1 from Leu-3 to Ala-6 and β5 from Leu-55 to Pro-57) and the approximately orthogonal central β-sheets (strands β2 from Asp-25 to Asn-30, β3 from Trp-36 to Ser-41, and β4 from Thr-47 to Ile-50), along with a helical turn with 310 geometry from Pro-51 to Tyr-54. The residues Leu-3, Glu-5, Phe-20, Arg-40, and Thr-47 mutated in this study are shown in ball-and-stick representation. The homology model was created as described previously (7).
In practice, Φ values for intermediate states, I, have been published for several proteins such as Im7 (12), but only very few examples exist in the literature where Φ values have been measured for both TS and I in studies of three-state folders (13–16), in part because of the difficulty of obtaining all four rate constants from stopped-flow-based spectroscopic approaches. By contrast, our experience with dispersion studies of SH3 domains suggests that NMR data can be analyzed to extract accurate rates (4–7, 17). NMR relaxation-dispersion-based Φ-value analysis thus appears to be a particularly powerful method for the analysis of more complex folding pathways than two-state. Below we present such an analysis of the folding of the A39V/N53P/V55L Fyn SH3 domain, which has been shown in a previous NMR study to fold by a three-state process, U ↔ I ↔ F (7). The obtained Φ values confirm the picture of structure formation along the folding pathway that was obtained from 15N chemical shifts of the I state previously and extend it by providing information about formation of structure in the early TS, along with an indication of how structure formation “evolves” during the late (second) TS. The combined relaxation dispersion/Φ-value approach facilitates the determination of complete three-state protein folding pathways at atomic detail.
Methodology of Φ-Value Analysis
Before a discussion of the results of the relaxation dispersion study of A39V/N53P/V55L Fyn SH3, we briefly will review the essential features of Φ-value analysis (1, 8–11) and its extension to three-state folding. Most experimental studies of protein folding can be interpreted by using a simple two-state model,
![]() |
where according to transition-state theory, the temperature dependence of the rate of transition from state X to state Y is given by the Eyring equation (18):
where κ is a transmission coefficient, kB and h are the Boltzmann and Planck constants, respectively, and ΔGX→TS(XY) = GTS(XY) − GX denotes the free energy difference between the rate-limiting transition state TS(XY) and state X. Thus, the kinetic constants that are measured can be recast in terms of a simple one-dimensional energy landscape that describes the folding reaction. The introduction of a point mutation at a particular site in the protein modulates its stability so that the free energy of the mutant changes relative to the wild type (wt) by an amount ΔΔGU→F = ΔGU→F(mutant) − ΔGU→F(wt) = −RT ln(kUF(mutant)/kUF(wt)) + RT ln(kFU(mutant)/kFU(wt)). Similarly, the interactions in the rate-limiting transition state, TS(UF), can be modulated, so its stability changes by an amount ΔΔGU→TS(UF) = ΔGU→TS(UF)(mutant) − ΔGU→TS(UF)(wt) = −RT ln(kUF(mutant)/kUF(wt)). The Φ value is defined as
where ΔGX = GX(mutant) − GX(wt), X ∈ {U, TS(UF), F}. Values of Φ ≈ 0 (ΔΔGU→TS(UF) ≈ 0) and Φ ≈ 1 (ΔΔGU→TS(UF) ≈ ΔΔGU→F) indicate that the interactions at the position of the mutation in the TS are unfolded-like or native-like, respectively, independent of changes that the mutation might introduce to the U state. By contrast, Φ values that are not 0 or 1 must be interpreted with caution because they can derive from interactions that only are partially formed in the TS, multiple folding pathways, formation of nonnative interactions, or perturbations to any residual structure in the U state (1, 10, 11, 19). Fersht and Sato (11) describe these points in detail and suggest appropriate mutations such that Φ values can be analyzed rigorously.
Φ-Value analysis can be readily extended to more complex folding processes, such as those that are operative for the Fyn SH3 domain (described below). In the case of the pathway
![]() |
one can define the Φ value for state A ∈ {I, TS(UI), TS(IF)}, where TS(UI) and TS(IF) denote the transition states connecting states U/I and I/F, respectively, as
with ΔG values obtained directly from the measured rates via Eq. 1. Fig. 2Top shows a schematic of a pair of one-dimensional energy landscapes corresponding to the folding pathways of mutant (blue) and wt (black), along with the differences in energies attributable to mutation for each state A ∈ {U, TS(UI), I, TS(IF), F} from which the ΦA values are calculated.
Fig. 2.
Changes in ΔG used to calculate ΦA (Top), along with changes in free energy upon point mutation, ΔΔG, along the folding pathway for several mutants of the A39V/N53P/V55L Fyn SH3 domain based on the parameters of SI Table 3. Values of G are referenced with respect to the unfolded state U that is arbitrarily assigned a value of 0. TS(UI) and TS(IF) denote the rate-limiting transition states between states U, I and I, F respectively. Inset for the A39V/T47S/N53P/V55L mutant shows the pair of ΔG profiles (pseudo-wt and mutant) from which ΔΔG values are obtained, with the free energies of U states both assigned arbitrarily to 0, which is strictly true only if ΔGU = 0.
Results and Discussion
Choice of System and Point Mutants for Φ-Value Analysis.
In a previous publication, we analyzed the folding pathway of the A39V/N53P/V55L Fyn SH3 domain by using 15N relaxation dispersion NMR spectroscopy (7). Dispersion profiles were recorded as a function of temperature and could be fit to a two-state exchange process, I ↔ F, with the intermediate populated to ≈2%, at temperatures below ≈25°C. At higher temperatures, the population of U increases so that profiles are only well fit by a three-state model, U ↔ I ↔ F, and this model was shown to be superior to either of I ↔ U ↔ F or U ↔ F ↔ I. The fact that temperature can be used as a variable to “simplify” the analysis is an attractive feature, especially when the folding kinetics of several mutants are to be analyzed. We have chosen, therefore, to use A39V/N53P/V55L Fyn SH3 as the “pseudo-wt background” in which to place additional mutations for relaxation-dispersion-based Φ-value analyses. Interestingly, in the presence of denaturant, I and F equilibrate too fast to allow detection of the intermediate in stopped-flow fluorescence experiments. Using the rate constants for folding of the A39V/N53P/V55L Fyn SH3 domain obtained from NMR studies, we have shown that the stopped-flow measurements in fact probe the TS connecting U and I (7). This finding further emphasizes the unique role of relaxation dispersion NMR in the study of the complete folding pathway of this system.
In the present work, we have focused on mutations that are known from previous stopped-flow studies to modulate the stability of the wt Fyn SH3 domain by ≈2 kJ/mol ≤ ∣ΔΔGU→F∣ ≤ 6 kJ/mol (20, 21) [supporting information (SI) Table 1]. Values of ∣ΔΔGU→F∣ in this range ensure that the stability change is large enough for extraction of meaningful Φ values (11), while keeping structural perturbations to a minimum. Several SH3 domains have been characterized extensively by Φ-value analysis by using stopped-flow methods under the assumption of a two-state folding equilibrium, U ↔ F (20–23). These studies suggest that formation of the β3–β4-hairpin (Fig. 1) is the earliest event in folding, and it indeed appears to be fully formed in I based on 15N relaxation dispersion measurements (7). Therefore, we examined the mutations R40T and T47S (for clarity, mutations used for Φ-value analysis are highlighted in boldface) of two surface-exposed side chains opposite each other on strands β3 and β4 (see Fig. 1) that have been used in a previous study to probe β-sheet propensity (21). The mutations, L3A and E5V, of two neighboring surface-exposed side chains in strand β1 were analyzed to probe formation of the terminal β-sheet and nonnative interactions in this region, noted in the previous relaxation dispersion study of A39V/N53P/V55L Fyn SH3 (7). Finally, the mutation F20L was made to investigate hydrophobic core packing along the folding pathway of the domain (20). The positions of each of the sites of mutation are illustrated in Fig. 1.
Measurement and Interpretation of Φ Values for A39V/N53P/V55L Fyn SH3.
Relaxation dispersion profiles were recorded and analyzed for each of the mutants mentioned above (SI Fig. 4). In addition to the four exchange rates obtained in the analysis of dispersion profiles according to the
![]() |
exchange model, a pair of chemical-shift differences, ΔϖF→I = ϖI − ϖF and ΔϖF→U = ϖU − ϖF also are obtained that, of course, are site-specific. Consistent with previous results for A39V/N53P/V55L Fyn SH3 (7), the low-temperature dispersion profiles (15–20°C) of each of the mutants examined in the present study could be fit to a two-state exchange process, I ↔ F, from which ΔϖF→I was determined, although for L3A and F20L it was clear that even at these temperatures there was a nonnegligible population of the U state (SI Table 2). The values of ΔϖF→I subsequently were used in fits of dispersion data at higher temperatures where the U ↔ I ↔ F model was required. The fits of the dispersion profiles for the mutants (SI Table 2 and SI Fig. 4) were of similar quality to those obtained in the analysis of A39V/N53P/V55L Fyn SH3 (7), except for the F20L mutant, in which the slightly poorer agreement between dispersions predicted by the model and the experimental data (SI Table 2) may reflect the lower quality of the dispersion spectra for this variant (SI Fig. 5).
As expected, the three-state folding kinetics obtained from fitting the CPMG data (SI Table 2) are sufficiently precise to allow calculation of well defined Φ values (SI Table 3), which are listed at the temperature where they could be extracted with the highest reliability and precision for each of the five mutants (Fig. 2). As described above and elsewhere (11), values of Φ that are close to either 0 or 1 are most easily interpreted; Φ values >80% were measured for TS(UI), I, and TS(IF) for the mutations T47S and R40T (SI Table 3 and Fig. 2), which modify a surface-exposed side chain in strand β4 and β3, respectively (Fig. 1). These values support our working model of the A39V/N53P/V55L Fyn SH3 folding pathway based on relaxation dispersion measurements where 15N chemical shifts of residues comprising the β3–β4-hairpin in the I and F states are similar, suggesting that this structure already is formed in I (7) (SI Fig. 6). The results also are consistent with previous stopped-flow experiments on the Fyn SH3 domain that are interpreted in terms of a two-state folding model and probe the transition state corresponding to TS(UI) (ref. 21 and see above) where βTS(UF) = 67% and 86% were obtained for Thr-47 and Arg-40, respectively (mutants in the wt background). Unfortunately, Φ values could not be measured by stopped-flow fluorescence for any of the mutants used in the present study that are in the A39VN53P/V55L background because the dead time of our stopped-flow instrument precluded collection of a sufficient number of data points along the folding arm of the chevron plot. The high ΦTS(IF) values for both A39V/T47S/N53P/V55L and A39V/R40T/N53P/V55L Fyn SH3 demonstrate that the β-hairpin region remains native-like in TS(IF). Thus, the results from the present study establish that the β3–β4 structure forms early on in the folding pathway and is maintained throughout.
To analyze the formation of structure during folding for residues comprising strand β1 in the folded protein (Fig. 1), a pair of mutations, L3A and E5V, were made. Position 3 is surface-exposed in the Fyn SH3 domain folded structure (Fig. 1), and L3A is considered a nondisruptive deletion recommended for Φ value analysis (1, 11). Nevertheless, the reduction in stability of the native conformation that accompanies the L3A mutation is complex because ΔΔGU→F = 6.3 kJ/mol (SI Table 3 Middle) derives from a combination of the decrease in β-sheet propensity that is predicted to be destabilizing by ≈1.9 kJ/mol (table 17.3 in ref. 1), and the deletion of the equivalent of approximately two buried methylene groups that form favorable van der Waals' interactions in the F state (24). The situation is even more complex for the surface mutation E5V. Here the net stabilization by ΔΔGU→F = −2.9 kJ/mol (SI Table 3 Top) involves contributions from the enhancement in β-sheet propensity, predicted to be −2.9 kJ/mol (table 17.3 in ref. 1), the deletion of a negative charge from a domain with a net negative charge, and the removal of a salt bridge with Lys-25, noted in the crystal structure of a Fyn SH3 mutant (N. Neculai, A.Z.-A., P. Howell, and A.R.D., unpublished data). In addition, although the x-ray structure of E5V Fyn SH3 (Homo sapiens Fyn SH3) shows that the additional aliphatic surface that accompanies the mutation, equivalent to approximately one methylene group, is solvent-exposed in F (24), and thus solvation effects should not contribute to ΔΔGU→F (assuming that this position is fully solvated in U), the mutation may nevertheless stabilize potential nonnative hydrophobic contacts in the intermediate as observed previously (7). As expected for mutations modulating several different interactions, L3A and E5V yield fractional Φ values (SI Table 3 and Fig. 2); nevertheless, we have made a cautious attempt to interpret these values within the framework of our model of folding derived from previous studies (7). The low values of ΦTS(UI) of 21% and 12% for L3A/A39V/N53P/V55L and E5V/A39V/N53P/V55L Fyn SH3, respectively, provide strong evidence that strand β1 is not formed in the first transition state. This result is consistent with studies that have been performed on the single-point mutants L3A and E5V of the wt Fyn SH3 domain by using stopped-flow fluorescence where values of ΦTS(UF) = 0% and 38% were obtained, respectively (SI Fig. 7 and SI Table 1). As described above, we have shown previously, based on the kinetic constants isolated from dispersion measurements of A39V/N53P/V55L Fyn SH3, that stopped-flow studies on this domain effectively probe structure in the first transition state, TS(UI) (7). The similarity between ΦTS(UI) values obtained in the present study, where each of the states along the pathway is probed individually, and the ΦTS(UF) values reported from stopped-flow fluorescence further supports our interpretation.
Our previous NMR study of the folding pathway of A39V/N53P/V55L Fyn SH3 provided strong evidence based on 15N chemical shifts that residues in strands β1 and β5 were stabilized in the intermediate state by nonnative long-range interactions. Moreover, the temperature-dependent kinetic data established a heat-capacity difference between states I and F, ΔCp(F→I), of ≈0 J/mol·K, implying a collapsed intermediate state (7). In this context, values of ΦI = 58% and ΦI = 45% for L3A/A39V/N53P/V55L and E5V/A39V/N53P/V55L Fyn SH3, respectively, are consistent with the fact that strand β1 still is not formed in the intermediate, whereas extensive and partly nonnative hydrophobic interactions are. As has been described previously, a complication in the interpretation of fractional Φ values is that they can arise because of multiple folding pathways (1, 11). The similar ΦI (and ΦTS(IF), see below) values observed for the L3A and E5V mutants here, which are expected to destabilize (L3A) and stabilize (E5V) hydrophobic interactions, respectively, argue against the case of parallel folding pathways that generate states with (path A) or without (path B) significant hydrophobic interactions involving these sites. If this were the case, ΦI (and ΦTS(IF)) for the E5V mutant would be expected to be larger than the corresponding value for L3A (25). This interpretation must be considered tentative given the small amount of data; nevertheless, the fractional Φ values most likely reflect contributions to stability that arise from several interactions that are perturbed differentially by mutation.
The transition state connecting I and F has a larger heat capacity than the states themselves, ΔCp(F→TS(IF)) = 1.46 kJ/mol·K, which has been interpreted as reflecting the breaking of nonnative interactions along the folding pathway that leads to a transition state that is transiently hydrated before dehydration and repacking to the native structure (7). The values ΦTS(IF) = 63% and 57% for L3A/A39V/N53P/V55L and E5V/A39V/N53P/V55L Fyn SH3, respectively (SI Table 3and Fig. 2), are consistent with this model and may reflect formation of strand β1 with only limited tertiary interactions in TS(IF), as predicted by computer simulations (26). This “picture” also is supported by the measured Φ values for the hydrophobic core mutant F20L/A39V/N53P/V55L (SI Table 3 Bottom and Fig. 2). The low ΦTS(UI) value (13%), which is similar in magnitude to ΦTS(UF) = −1% obtained from a stopped-flow study of F20L Fyn SH3 (20), suggests that this position is not well structured in the first transition state. The high value for ΦI = 73% and the intermediate value for ΦTS(IF) = 45% are in keeping with expectations based on a collapsed intermediate with nonnative interactions connecting the central sheet β2–β3–β4 with the rest of the domain that must then be broken during the second transition state, TS(IF), before formation of the native conformation. Further evidence for nonnative interactions in the intermediate is provided by the 15N chemical-shift changes in the I state that accompany the F20L mutation. The largest changes in shifts (other than at positions 20 and 21) all map to strand β1 (Leu-3, Glu-5, Ala-6, and Leu-7) (SI Figs. 8 and 9), which, as mentioned above, has been shown previously to form hydrophobic nonnative interactions in the intermediate state (7). Conversely, the largest chemical-shift changes that accompany the E5V mutation include those from Leu-18 and Ser-19. In the structure of the native state, position 20 does not make contacts with the first strand (24).
Probing the Effects of Mutation on Structure.
A big advantage of NMR relaxation dispersion spectroscopy in the study of protein folding is the availability of chemical shifts to monitor the formation of structure as folding proceeds. In the context of Φ-value analysis, a comparison of chemical shifts can be used to ascertain potential changes to the structure(s) of F, I, and U states as a result of mutation. It is expected that there will be a chemical-shift change at the site of mutation that arises purely from the substituted side chain, and this effect can be minimized by carrying out comparisons on the basis of secondary shifts, i.e., the differences ϖX − ϖRC of the measured chemical shifts for state X, ϖX, with respect to random-coil chemical shifts, ϖRC (27). Inspection of the NOE patterns used for sequence-specific resonance assignment provided no indications for major rearrangements of the native structure caused by any of the point mutations L3A, E5V, F20L, R40T, or T47S. Accordingly, the 15N secondary shifts of the F states of the mutants are very close to those of the F state of the A39V/N53P/V55L Fyn SH3 domain ( for F20L, which modulates hydrophobic core packing including ring-current effects (28), whereas rmsd < 0.25 ppm for the other mutations; in all cases, the mutated residue and its successor are excluded). There is one notable exception: the mutation R40T in strand β3 causes large changes in the 15N chemical shifts of Thr-47 and Gly-48 on the neighboring strand β4 (Fig. 1) toward lower field (Fig. 3Top and SI Fig. 10). Such shifts are highly indicative of a change in side-chain conformation of Thr-47 modulating the so-called χ1 effect on the 15N chemical shifts of the neighboring backbone amides (29). The NOE patterns involving Thr-47 Hβ and Hγ2* of A39V/N53P/V55L Fyn SH3 (data not shown) are inconsistent with the gauche− (χ1 ≈ −60°) rotamer found in the crystal structure of H. sapiens Fyn SH3 (24); in solution, the side chain of Thr-47 preferentially populates the gauche+ rotamer (χ1 ≈ +60°). The point mutation R40T, however, shows a strongly altered NOE pattern now favoring the gauche− rotamer, which rotates the hydroxyl group of Thr-47 toward the newly introduced hydroxyl group of Thr-40, most likely to form an interstrand hydrogen bond. Interestingly, the large 15N shifts for Thr-47 and Gly-48 to lower field also are observed for the I state (Fig. 3 Middle), providing very strong evidence that, in the intermediate, Thr-47 interacts with sequence position 40 as it does in the native conformation and, hence, that the β3–β4-hairpin already is formed.
Fig. 3.
Comparison of secondary 15N chemical shifts (ϖX − ϖRC; ref. 27, see text) of A39V/R40T/N53P/V55L Fyn SH3 and A39V/N53P/V55L Fyn SH3 for the folded (Top), intermediate (Middle), and unfolded (Bottom) states. Residues in the immediate vicinity of the mutated side chain in the native structure (Fig. 1) are indicated by asterisks.
The secondary 15N chemical shifts for the unfolded states of all mutants also are extremely close to those of the unfolded A39V/N53P/V55L Fyn SH3 domain (rmsd values between 0.19 ppm and 0.44 ppm). That the effects of mutations introduce little perturbation to the U state structural ensemble can be appreciated by comparing the rmsd of secondary chemical shifts over the complete sequence (excluding the site of mutation and the successive residue) with the corresponding rmsd values obtained for a seven-residue window that surrounds, but does not include, the site of mutation. For L3A, E5V, F20L, R40T, and T47S, average rmsd values over the whole sequence are 0.27, 0.33, 0.44, 0.37, and 0.20 ppm, whereas averaged over the seven-residue window the rmsd values are 0.56, 0.59, 0.45, 0.46, and 0.26 ppm. Given the typical range of 15N chemical shifts upon formation of secondary and tertiary structure (29, 30), the small differences observed in rmsd values suggest strongly that even if there is minor residual structure in the U state ensemble, it is perturbed very little by mutation. As for the folded and unfolded states, the small 15N chemical-shift changes of the intermediate (rmsd values between 0.59 ppm and 0.79 ppm if the mutated residue and its successor are excluded, plus residues Thr-2 to Leu-7 for F20L or Thr-47 and Gly-48 for R40T; see above) verify that the structure of the I state is essentially unperturbed by the point mutations. In summary, the chemical shifts extracted from a relaxation dispersion analysis provide a powerful probe of structural changes in states U, I, and F that are introduced by the point mutations and that are an obvious concern in Φ-value analysis. In cases where shift changes are small, such as for the mutants considered in the present study, this concern is minimized. Clearly, the site-specific chemical shifts are superior to probes of structural integrity obtained from other spectroscopies such as CD or tryptophan fluorescence, where averaged structural measures are obtained, or measures from only one or two sites. Chemical shifts also can be used to provide qualitative information about whether the mutation changes the folding pathway. For example, the similar shifts for the I states of pseudo-wt and the mutants observed here (see Fig. 3 and SI Figs. 6, 8, 9, and 11) argue that the folding pathway is not significantly perturbed, which facilitates interpretation of the Φ values markedly.
In summary, we have introduced a relaxation-dispersion-based Φ-value analysis that allowed a residue-specific structural investigation of the complete three-state folding pathway of the A39V/N53P/V55L Fyn SH3 domain, including the pair of transition states that connect U with F. As with other relaxation dispersion analyses of three-state folding (4–7, 31) chemical-shift information can be used to obtain insight into the structure of the intermediate state. Φ values provide additional data on the I state and also probe structure formation in both transition states that previously only could be measured very qualitatively through temperature-dependent relaxation dispersion studies. The results of the present study support and extend the notion that nonnative interactions play a role in the stabilization of the on-pathway intermediate state in the folding of the Fyn SH3 domain (7). Finally, the work significantly extends previous stopped-flow fluorescence Φ-value analyses of Fyn SH3 that were based on the assumption of two-state folding, where the measured Φ values are those associated with the first transition state, TS(UI) (7). The combination of Φ-value analysis and relaxation dispersion NMR spectroscopy promises to greatly increase the level of detail that can be obtained in the study of exchange processes that include, but are not limited to, protein folding.
Materials and Methods
Details of sample preparation and CD melting are given in SI Materials and Methods. Sequence-specific 1H and 15N resonance assignments and the integrity of the native structure for all Gallus gallus Fyn SH3 domain mutants were confirmed by using [1H,15N]-NOESY-heteronuclear single-quantum coherence (HSQC) spectra (32) recorded at 20°C and processed as described previously (7). 15N single-quantum CPMG relaxation dispersion experiments (33, 34) were recorded, processed, and quantified as described previously (7). Taking into account the different stabilities of the individual Fyn SH3 domain mutants, data sets were recorded at the following temperatures by using both 500- and 800-MHz NMR spectrometers: (i) A39V/R40T/N53P/V55L and A39V/T47S/N53P/V55L at 20°C, 35°C, and 40°C; (ii) E5V/A39V/N53P/V55L at 20°C, 35°C, 40°C, and 45°C; and (iii) L3A/A39V/N53P/V55L and F20L/A39V/N53P/V55L at 15°C, 20°C, 25°C, 30°C, and 35°C. The relaxation dispersion profiles at all temperatures were fit together to extract global exchange parameters (kex,FI = kFI + kIF, kex,IU = kIU + kUI, and the populations of states I, pI and U, pU) for each temperature along with residue-specific values (ΔϖF→I and ΔϖF→U, both assumed to be temperature-invariant and intrinsic 15N relaxation rates for all temperatures) by numerical nonlinear least-squares fitting using in-house written software as described previously (4, 5, 7). Errors of the fitted parameters were calculated from the covariance matrix (35). Absolute signs of ΔϖF→I and ΔϖF→U were inferred from the 15N chemical shifts of A39V/N53P/V55L Fyn SH3 (7), which is justified by the excellent correlation between shifts of the pseudo-wt (A39V/N53P/V55L Fyn SH3) and mutants (Fig. 3 and SI Fig. 8). Absolute signs of ΔϖF→I in L3A/A39V/N53P/V55L Fyn SH3 were confirmed experimentally from differences in 15N peak positions at 15°C (where the dispersion profiles are dominated by the I ↔ F exchange) in [1H,15N]-heteronuclear multiple-quantum coherence (HMQC) and [1H,15N]-HSQC spectra recorded at 500 MHz and/or between two [1H,15N]-HSQC spectra obtained at 500 and 800 MHz (36), as described previously (7).
Supplementary Material
Acknowledgments
This work was supported by a grant from the Canadian Institutes of Health Research (to L.E.K.). P.N. acknowledges postdoctoral support from the Deutsche Forschungsgemeinschaft (NE 1197/1-2) and the Canadian Institutes of Health Research. A.Z.-A. was supported by a doctoral Canada Graduate Scholarship (CGS-D3) from the Natural Sciences and Engineering Research Council of Canada. L.E.K. holds a Canada Research Chair in Biochemistry.
Abbreviations
- SH3
Src homology 3
- CPMG
Carr–Purcell–Meiboom–Gill
- wt
wild type.
Footnotes
The authors declare no conflict of interest.
This article is a PNAS Direct Submission.
This article contains supporting information online at www.pnas.org/cgi/content/full/0705097104/DC1.
References
- 1.Fersht A. Structure and Mechanism in Protein Science. New York: Freeman; 1999. [Google Scholar]
- 2.Brockwell DJ, Radford SE. Curr Opin Struct Biol. 2007;17:30–37. doi: 10.1016/j.sbi.2007.01.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Palmer AG. Chem Rev. 2004;104:3623–3640. doi: 10.1021/cr030413t. [DOI] [PubMed] [Google Scholar]
- 4.Korzhnev DM, Salvatella X, Vendruscolo M, Di Nardo AA, Davidson AR, Dobson CM, Kay LE. Nature. 2004;430:586–590. doi: 10.1038/nature02655. [DOI] [PubMed] [Google Scholar]
- 5.Korzhnev DM, Neudecker P, Mittermaier A, Orekhov VY, Kay LE. J Am Chem Soc. 2005;127:15602–15611. doi: 10.1021/ja054550e. [DOI] [PubMed] [Google Scholar]
- 6.Korzhnev DM, Neudecker P, Zarrine-Afsar A, Davidson AR, Kay LE. Biochemistry. 2006;45:10175–10183. doi: 10.1021/bi0611560. [DOI] [PubMed] [Google Scholar]
- 7.Neudecker P, Zarrine-Afsar A, Choy W-Y, Muhandiram DR, Davidson AR, Kay LE. J Mol Biol. 2006;363:958–976. doi: 10.1016/j.jmb.2006.08.047. [DOI] [PubMed] [Google Scholar]
- 8.Matthews CR. Methods Enzymol. 1987;154:498–511. doi: 10.1016/0076-6879(87)54092-7. [DOI] [PubMed] [Google Scholar]
- 9.Goldenberg DP, Frieden RW, Haack JA, Morrison TB. Nature. 1989;338:127–132. doi: 10.1038/338127a0. [DOI] [PubMed] [Google Scholar]
- 10.Fersht AR, Matouschek A, Serrano L. J Mol Biol. 1992;224:771–782. doi: 10.1016/0022-2836(92)90561-w. [DOI] [PubMed] [Google Scholar]
- 11.Fersht A, Sato S. Proc Natl Acad Sci USA. 2004;101:7976–7981. doi: 10.1073/pnas.0402684101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Capaldi AP, Kleanthous C, Radford SE. Nat Struct Biol. 2002;9:209–216. doi: 10.1038/nsb757. [DOI] [PubMed] [Google Scholar]
- 13.Matouschek A, Serrano L, Fersht AR. J Mol Biol. 1992;224:819–835. doi: 10.1016/0022-2836(92)90564-z. [DOI] [PubMed] [Google Scholar]
- 14.Khan F, Chuang JI, Gianni S, Fersht AR. J Mol Biol. 2003;333:169–186. doi: 10.1016/j.jmb.2003.08.024. [DOI] [PubMed] [Google Scholar]
- 15.Nölting B, Golbik R, Fersht AR. Proc Natl Acad Sci USA. 1995;92:10668–10672. doi: 10.1073/pnas.92.23.10668. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Nölting B, Golbik R, Neira JL, Soler-Gonzalez AS, Schreiber G, Fersht AR. Proc Natl Acad Sci USA. 1997;94:826–830. doi: 10.1073/pnas.94.3.826. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Neudecker P, Korzhnev DM, Kay LE. J Biomol NMR. 2006;34:129–135. doi: 10.1007/s10858-006-0001-2. [DOI] [PubMed] [Google Scholar]
- 18.Eyring H. Chem Rev. 1935;17:65–77. [Google Scholar]
- 19.Cho J-H, Raleigh DP. J Am Chem Soc. 2006;128:16492–16493. doi: 10.1021/ja0669878. [DOI] [PubMed] [Google Scholar]
- 20.Northey JGB, Di Nardo AA, Davidson AR. Nat Struct Biol. 2002;9:126–130. doi: 10.1038/nsb748. [DOI] [PubMed] [Google Scholar]
- 21.Zarrine-Afsar A, Dahesh S, Davidson AR. J Mol Biol. 2007 Aug 9; doi: 10.1016/j.jmb.2007.07.059. [DOI] [PubMed] [Google Scholar]
- 22.Martinez JC, Serrano L. Nat Struct Biol. 1999;6:1010–1016. doi: 10.1038/14896. [DOI] [PubMed] [Google Scholar]
- 23.Riddle DS, Grantcharova VP, Santiago JV, Alm E, Ruczinski I, Baker D. Nat Struct Biol. 1999;6:1016–1024. doi: 10.1038/14901. [DOI] [PubMed] [Google Scholar]
- 24.Noble MEM, Musacchio A, Saraste M, Courtneidge SA, Wierenga RK. EMBO J. 1993;12:2617–2624. doi: 10.2210/pdb1shf/pdb. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Sosnick TR, Krantz BA, Dothager RS, Baxa M. Chem Rev. 2006;106:1862–1876. doi: 10.1021/cr040431q. [DOI] [PubMed] [Google Scholar]
- 26.Guo W, Lampoudi S, Shea J-E. Biophys J. 2003;85:61–69. doi: 10.1016/S0006-3495(03)74454-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Wishart DS, Bigam CG, Holm A, Hodges RS, Sykes BD. J Biomol NMR. 1995;5:67–81. doi: 10.1007/BF00227471. [DOI] [PubMed] [Google Scholar]
- 28.Wüthrich K. NMR of Proteins and Nucleic Acids. New York: Wiley; 1986. [Google Scholar]
- 29.Wishart DS, Case DA. Methods Enzymol. 2001;338:3–34. doi: 10.1016/s0076-6879(02)38214-4. [DOI] [PubMed] [Google Scholar]
- 30.Wishart DS, Sykes BD, Richards FM. J Mol Biol. 1991;222:311–333. doi: 10.1016/0022-2836(91)90214-q. [DOI] [PubMed] [Google Scholar]
- 31.Grey MJ, Tang Y, Alexov E, McKnight CJ, Raleigh DP, Palmer AG. J Mol Biol. 2006;355:1078–1094. doi: 10.1016/j.jmb.2005.11.001. [DOI] [PubMed] [Google Scholar]
- 32.Zhang O, Kay LE, Olivier JP, Forman-Kay JD. J Biomol NMR. 1994;4:845–858. doi: 10.1007/BF00398413. [DOI] [PubMed] [Google Scholar]
- 33.Loria JP, Rance M, Palmer AG. J Am Chem Soc. 1999;121:2331–2332. [Google Scholar]
- 34.Tollinger M, Skrynnikov NR, Mulder FA, Forman-Kay JD, Kay LE. J Am Chem Soc. 2001;123:11341–11352. doi: 10.1021/ja011300z. [DOI] [PubMed] [Google Scholar]
- 35.Press WH, Teukolsky SA, Vetterling WT, Flannery BP. Numerical Recipes in C. 2nd Ed. Cambridge, UK: Cambridge Univ Press; 1992. [Google Scholar]
- 36.Skrynnikov NR, Dahlquist FW, Kay LE. J Am Chem Soc. 2002;124:12352–12360. doi: 10.1021/ja0207089. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.






