Abstract
For several decades the hydride transfer catalyzed by alcohol dehydrogenase has been difficult to understand. Here we add to the large corpus of anomalous and paradoxical data collected for this reaction by measuring a normal (> 1) 2° kinetic isotope effect (KIE) for the reduction of benzaldehyde. Because the relevant equilibrium effect is inverse (< 1), this KIE eludes the traditional interpretation of 2° KIEs. It does, however, enable the development of a comprehensive model for the “tunneling ready state” (TRS) of the reaction that fits into the general scheme of Marcus-like models of hydrogen tunneling. The TRS is the ensemble of states along the intricate reorganization coordinate, where H tunneling between the donor and acceptor occurs (the crossing point in Marcus theory). It is comparable to the effective transition state implied by ensemble-averaged variational transition state theory. Properties of the TRS are approximated as an average of the individual properties of the donor and acceptor states. The model is consistent with experimental findings that previously appeared contradictory; specifically, it resolves the long-standing ambiguity regarding the location of the TRS (aldehyde-like vs. alcohol-like). The new picture of the TRS for this reaction identifies the principal components of the collective reaction coordinate and the average structure of the saddle point along that coordinate.
Keywords: hydrogen tunneling, enzyme kinetic, secondary isotope effect, Swain–Schaad
Enzymes enhance the rates of chemical reactions by many orders of magnitude, and extensive studies have uncovered many aspects of how they do so. The prevailing theory that enzymes stabilize the transition state (TS) relative to the reactants explains many phenomena, and a great deal of contemporary research focuses on how enzymes stabilize the TS. An unfortunate hindrance to developing an understanding of how enzymes stabilize the TS lies in the enigmatic nature of the TS. Many enzymatic hydrogen (proton, hydrogen, or hydride) transfers, for example, occur by quantum mechanical tunneling, where a particle passes through an energy barrier because of its wave properties (1–6).
Yeast alcohol dehydrogenase (yADH) serves as an excellent model system for enzyme-catalyzed H transfer because unlike many other enzymes, the chemical step, oxidation of a primary alcohol to an aldehyde by NAD+, is rate-limiting with aromatic substrates (7). Furthermore, the thermodynamics of the reaction allow for examination of both the forward (alcohol to aldehyde) and reverse (aldehyde to alcohol) reactions under similar conditions (8). This type of nicotinamide-dependent redox reaction appears ubiquitously in biology, and a detailed picture of the TS of such reactions may facilitate many medical and industrial applications.
Intriguingly, decades of experiments on the reaction catalyzed by yADH have returned what appear to be contradictory results, some suggesting an early TS, whereas others point to a late TS (7–10). In pioneering studies, Klinman measured linear free energy relationships (LFERs) by using benzyl substrates in both forward and reverse directions and found evidence to support an alcohol-like TS (7, 8), despite the fact that Hammond’s postulate predicts a late TS for this slightly endothermic reaction (internal Keq = 0.15, i.e., ∼1 kcal/mol) (9). Klinman also examined 2° kinetic isotope effects (KIEs) only to implicate an aldehyde-like TS (8). 2° KIEs measure the ratio of reaction rates of substrates that differ only in isotopic substitution of a bond that is not cleaved during the reaction. They serve as tools for determining TS structure because they reflect changes in hybridization along the reaction coordinate. The traditional formulation of 2° KIEs predicts that a very early TS will give a KIE of unity and a very late TS will give a KIE equal to the equilibrium isotope effect (EIE) (11). A few years later, though, experiments on the homologous horse liver ADH (hlADH) found that 2° KIEs on the nicotinamide exceeded the 2° EIEs. To explain these results, Cleland and co-workers suggested that the reaction involves quantum mechanical H tunneling and coupled motion between the 1° and 2° hydrogens (Fig. 1) (12). Subsequently, H tunneling appeared to be a common feature for H transfer in both enzymatic and nonenzymatic reactions (1, 13).
Concurrent with these experimental findings, several theoreticians developed a simplified empirical underpinning to the concept of tunneling and coupled motion and predicted that deviations from the semiclassical Swain–Schaad exponents (SSEs) (14) could serve as strong evidence for such behavior (15–17). Semiclassically, the SSE is
[1] |
where ki is the reaction rate with isotope i. Confirmation of this prediction came quickly thereafter in a seminal paper by Klinman’s group that found a glaringly elevated mixed-labeling SSE (mSSE) for 2° KIEs in yADH (18), where
[2] |
where is the rate when i is the hydrogen isotope at the 1° position and j is the hydrogen isotope at the 2° position. An elevated mSSE later appeared in other ADHs (19, 20) as well as other types of enzymatic hydrogen transfers (21).
Some empirical models (22, 23) as well as quantum mechanical/molecular mechanical simulation (QM/MM) studies (24–27) have achieved moderate success in replicating the observed 2° mSSEs. While not rigorously defined in those studies, the concept of “tunneling and coupled motion” complicated the traditional interpretation of 2° KIEs, so that the location of the TS need not be proportional to the 2° KIEs. A more comprehensive empirical model is proposed below.
Here we report measurements of H/T and D/T 2° KIEs (cf. kH/kT and kD/kT) on benzaldehyde in the reverse reaction that fall outside the range of the EIE to unity, a finding that mirrors 2° KIEs on the nicotinamide cofactor (12). The KIEs reported here completed the set of 2° KIEs for this reaction (both substrates in both directions). This set guided our development of a more complete empirical model that explains all the apparently contradictory findings regarding the ADH reaction. This model implies a “tunneling ready state” (TRS), which is a special case of the more general TS (28). The TRS is the ensemble of states from which H tunneling occurs and like the general case of TS is a saddle point along a coordinate that represents the motions that bring the system from the ground state to the TRS. The present approach uses the framework of Marcus-like models of hydrogen tunneling (1, 4, 28–32) and identifies some of the principle components of the collective reaction coordinate. This empirically parameterized model quantitatively replicates all of the 2° KIEs in the forward and reverse directions, as well as their mSSEs, and the LFER findings. The model also indicates an asynchronized hybridization for the donor and acceptor carbons, which was first identified for dihydrofolate reductase (DHFR) by QM/MM calculations (33). Finally, in accordance with the ensemble-averaged variational transition state theory (VTST) results from Truhlar, Gao, and co-workers (24, 25), the model supports the recently articulated hypothesis that the inflated mSSEs reported for many ADHs since 1989 result from deflated 2° D/T KIEs because of the shorter donor–acceptor distance (DAD) required for D transfer (1, 34). The present model mirrors some of the previous empirical calculations on ADH and other systems (16, 17, 22, 23, 35) but provides a more comprehensive molecular and electronic interpretation. The interpretation of experiment by this method agrees well with the results from QM/MM simulations (24, 25) that also led to deviations from semiclassical 2° mSSEs in the forward direction.
Results and Discussion
Measuring 2° H/T and D/T KIEs on Benzaldehyde Reduction.
Traditionally, models expected the magnitude of 2° KIEs to vary between unity for a reactant-like TS and the EIE for a product-like TS (see ref. 33 for a thorough discussion), but quantum mechanical tunneling and 1°–2° coupled motion have given experimental results that elude such simplistic interpretations. The 2° H/T KIE measured here for the reduction of benzaldehyde by NADH clearly escapes interpretation by semiclassical models. The value we measured (as described in Materials and Methods) was 1.05 ± .01, which is obviously outside the range of unity to the inverse EIE (0.75, ref. 36). An early attempt to measure this KIE produced results within error of unity, which did not surprise the authors because the KIE in the forward direction (alcohol to aldehyde) was equal to the EIE, suggesting a TRS close to the aldehyde (36). Our measurements differ from unity and appear to be quite precise as a result of using only the aromatic-active isozyme of yADH (10) and a broad range of time points.
The term tunneling and coupled motion has been applied to ADHs and other systems that exhibit 2° KIEs outside the semiclassical range (12, 28, 37, 38), as well as reactions that violate the Rule of the Geometric Mean, as evidenced by inflated mSSEs (1, 18, 21). The term tunneling and coupled motion appears to be used for both abnormalities in 2° KIEs. Below, we describe the development of a model that interprets these abnormalities without any explicit inclusion of “coupled motion” and show that the two types of observations differ in their physical origins.
Modeling the TRS.
The model developed here fits into the framework of Marcus-like models of H tunneling in enzymes (1, 4, 30–32). A generalized functional form of these phenomenological models gives a rate constant (k) as
[3] |
where the first exponential is the traditional “Marcus term” for a reaction with driving force ΔG and reorganization energy λ at temperature T. The integral includes terms that adapt Marcus theory to the situation of H tunneling. The first exponential inside the integral, the “Franck–Condon term,” is a nuclear overlap integral, which describes the efficiency of tunneling through a given barrier and is a function of the tunneling particle’s mass (m) and the DAD. The second integrated exponential, the “Gating term,” measures the relative contributions of the ensemble of DADs, which are in dynamic equilibrium. This phenomenological model was developed to describe the temperature dependency of 1° KIEs, where most of the isotopic sensitivity is in the nuclear overlap term. The mass of the 2° hydrogens, however, does not significantly affect the integrated terms, and 2° KIEs are mostly embedded in the Marcus term of this equation.
The physical interpretation of Eq. 3 mirrors the VTST treatment (39) that has been quite successful in modeling enzymatic reactions that involve H tunneling (24, 25, 33). In these models, the enzyme facilitates tunneling of the transferred particle by creating energetic degeneracy between a donor and acceptor state. When the two states are degenerate, the probability density of the transferred particle (depending on its mass and the DAD) passes from the donor well to the acceptor well (Fig. 2). Thus, the TRS is the Marcus crossing point, at which H transfer from donor to acceptor can occur. We approximated the TRS as a linear combination of two states that are degenerate distortions of the heavy atom framework and differ only as to whether the transferred hydride is in the donor or acceptor well.
To find the structure of the heavy atom skeleton at the TRS, we adapted Redington’s method to model the TRS of the proton transfer in tropolone (40). The substrates were optimized to a geometry with the transferred H at the midpoint on a straight line between the donor and acceptor carbons by using a range of DADs. Because these structures did not yield the degenerate double-well potential necessary for tunneling, the hybridizations of the donor and acceptor carbons were parameterized (see SI Text) to give a symmetric potential energy surface for the motion of the H between the donor and acceptor (Fig. 3). The TRS was then approximated as a linear combination of the two states where the transferred H is in the donor well or the acceptor well. The geometric mean of the KIEs calculated for the donor and acceptor states of the TRS at each DAD was compared with experiment to determine the best fit. Parameterization of the Zn-O bond length at the TRS also enhanced the fit to experimental KIEs and is discussed in SI Text. Fig. 4 shows the structure that best matched experimental KIEs, Table 1 shows the values of the KIEs, and Table 2 lists important geometrical values in the TRS and their corresponding values in the ground state structures. Whereas there might be other structural solutions that fit the data, these are outside the conformational space we scanned and might not be physically relevant. The solution we report may not be the only one that reproduces some of the KIEs, but it is physically meaningful and it meets a large number of experimental restrictions that are quite sensitive to the geometric parameters surveyed.
Table 1.
Forward* | Reverse* | Equilibrium† | ||||
Comp | Exp | Comp | Exp | Comp | Exp | |
H2a (H/T)** | 1.33§ | 1.33¶ | 1.05§ | 1.05§ | 1.26§ | 1.33¶ |
H2b (H/D)** | 1.06§ | 1.08∥ | 1.22§ | 1.24∥ | 0.87§ | 0.89∥ |
H2a (D/T)*** | 1.03§ | 1.03†† | 0.97§ | 1.01§ |
Experimental errors are omitted here for clarity but are available in SI Text. The 2° hydrogens H2a and H2b are indicated in Fig. 4.
*The forward direction is the oxidation of benzyl alcohol and the reverse is the reduction of benzaldehyde.
†Equilibria refer to the forward direction.
**H transfer.
§This work.
¶Ref. 36.
∥Ref. 12.
***D transfer.
††Ref. 18.
Table 2.
Reactants* |
Products* |
TRS |
|
C7-C4** | 3.8 Å | 3.8 Å | 3.2 Å |
C7-C4*** | 3.8 Å | 3.8 Å | 3.0 Å |
Zn-O | 1.8 Å | 2.3 Å | 2.25 Å |
C7 hybridization | sp3 | sp2 | sp2.76 |
C4 hybridization | sp2 | sp3 | sp2.34 |
*Reactants and products refer to those of the forward reaction.
**H transfer.
***D transfer.
As one would expect, the TRS in this model has a somewhat longer DAD (3.2 Å) than the distance of 2.6 Å cited in some previous ADH models (24, 27). That shorter distance referred to the saddle point for the over-the-barrier process, and the authors of those studies stressed that corrections for tunneling played a vital role in replicating experimental KIEs. The DAD in our calculations, though, refers to that of the TRS, from which tunneling occurs. In our model no barrier is present for DADs shorter than 2.8 Å, and the zero point energy of the hydride is above the barrier even beyond that. This phenomenon echoes a model by Hammes-Schiffer and co-workers that found no barrier to this reaction at such short DADs but demonstrated how tunneling can contribute to rates with a DAD in excess of 3.1 Å (26). Furthermore, a model of the H transfer in soybean lipoxygenase found that the “distance of most probable transfer” (the DAD at the TRS) could be as long as 3.25 Å (41). To clarify, the DAD refers to the distance between the two carbon atoms, but the actual distance between the two minima of the double-well potential at the TRS described here is just 0.8 Å, which is within the de Broglie wavelength of H at room temperature (1.0 Å at an energy of kBT). Nonetheless, to ensure the feasibility of tunneling at 3.2 Å, we calculated the tunneling splitting for the double-well potential in Fig. 3 and found a value of 0.19 kcal/mol, which is similar to previous estimates of this value using other levels of theory (26). The tunneling splitting is inversely proportional to the rate of H tunneling at the TRS, and the value we found indicates that once the system reaches the TRS, all of the probability density of the hydride will pass from donor to acceptor in 250 fs (42).
Hybridization at the TRS.
Parameterization of the donor and acceptor hybridization gave a particularly transparent view of the role of rehybridization in the reaction. By using the parameterized out-of-plane bending angle of the 2° hydrogens (Fig. 1), we calculated hybridization (spH) at the TRS ranging from sp2 to sp3 where
[4] |
Here θ is the out-of-plane bend at the TRS, and θ0 is that angle in the relevant reduced form of each substrate. The calculated hybridizations at the TRS are sp2.76 for the donor (C7 of the substrate) and sp2.34 for the acceptor (C4 of the cofactor—Fig. 5). The hybridizations of the donor and acceptor carbons, therefore, are unsynchronized, as found for DHFR (33). Other models have described anomalous rehybridization like this as 1°–2° coupled motion (16, 17, 22, 23) but gave little insight into the physical source of the coupling. The present picture provides a more concrete description of the motion of the 2° hydrogens and how it is necessary to give a symmetric double-well potential at the TRS. The unsynchronized rehybridization reported here and for DHFR (33) may be a general phenomenon in nicotinamide-dependent redox reactions and even in other types of reactions involving H tunneling. We are currently examining this question in other enzymes that involve both hydride and proton transfers.
According to the current model, the physical origin of the inflated 2° H/T KIEs (relative to semiclassical predictions) is the effect of tunneling of the 1° hydrogen (delocalized at the TRS) on the 2° vibrational modes, as has been suspected since the earliest observations of 2° KIEs outside the semiclassical range (12, 18), and was first demonstrated for another ADH by QM/MM calculations (24).
The Situation with D Transfer.
Up to this point, we have addressed only the (physiological) H-transfer scenario. Some of the most inexplicable behavior of this reaction, however, particularly inflated mSSEs, occurs when D is the transferred nucleus (1). Importantly, the TRS structure we present for H transfer does not replicate the observed 2° KIEs for D transfer nor does it give inflated mSSEs or the 1° KIEs. However, prompted by the recent proposition of Klinman (1, 34), we tested whether a structure with a shorter DAD would reproduce the observed behavior for D transfer. Shortening the DAD by 0.2 Å did, in fact, give the diminished value of 1.03 for the D/T 2° KIE with D transfer in the forward direction, leading to an inflated mSSE in excellent agreement with the experimental data (18). At the shorter DAD, the effects of hybridization on energy (both total energy and degeneracy between donor and acceptor) are nearly identical to those at the longer DAD, so the hybridization at the TRS is the same with the transfer of the heavier nucleus. Nonetheless, noncovalent interactions between the substrates diminish the 2° D/T KIEs and are the main source of the inflated mSSEs that were long used to indicate tunneling and coupled motion in the ADH reaction.
Notably, the current model suggests that when a different nucleus is transferred, the system goes through a different TRS. Eq. 3 above predicts this type of behavior, because the contribution of the integral to the rate constant is greater for a heavier nucleus at shorter DADs, and similar findings resulted from ensemble-averaged variational transition state theory calculations of ADH (24). A recent VTST study of another system also showed that an H transfer from NADH proceeds via large-curvature tunneling, but the corresponding D transfer is dominated by small-curvature tunneling (43). To further explore this property, we calculated the H/D 1° KIE on the basis of the vibrational zero point energy of H and D for the double-well potential at a TRS of 3.2 and 3.0 Å, respectively, along with the difference in energy between the two TRSs (see SI Text). This simple approximation gave the value of 3.0 for the H/D 1° KIE in both directions, which agrees well with experimental measurements of this value (7, 8). This supporting evidence for Klinman’s recent suggestion of the source of the inflated 2° mSSE (1, 34) is likely to assist the development of more general and less empirical models that account for the effect of a shorter DAD on reactions with D or T transfer in both enzymatic and nonenzymatic reactions.
A Unified Picture of the Reaction Coordinate.
In addition to replicating all of the KIEs measured for yADH, the model presented here rationalizes the apparent paradox regarding the traditional interpretations of 2° KIEs, LFERs, and the Hammond postulate. The LFER experiments showed that substituents at the para position of the substrate have little effect on the oxidation of alcohols but substantially alter the rate of aldehyde reduction, which typically indicates a TS that more closely resembles the alcohol (7, 8, 10). For many years, this finding was seen as contradictory to the data on 2° KIEs, which, when interpreted semiclassically, suggest an aldehyde-like TS. To examine the present model’s consistency with the studies on substituent effects, we explored how two representative electron-donating and electron-withdrawing para substituents (-OCH3 and -Br) affected the charge density on the benzylic carbon in both directions. A recent analysis of substituent effects on a similar system showed that Mulliken charge (QM) on the benzylic carbon, as calculated by the theory used in this model, scales linearly with Hammett substituent constants (44), suggesting that QM at the TRS vs. reactants (ΔQM) could serve as a probe for reactivity. In accordance with experimental rates, para substituents do not change ΔQM significantly in the forward direction, but they give drastic changes in the reverse reaction (Fig. 6). That is not to say that QM on the benzylic carbon does not change between the alkoxide and the TRS—only that substituents do not affect that change. In the case of aldehyde reduction, though, substituents strongly modulate how charge accumulates on the benzylic carbon during the reaction.
In terms of the Marcus-like model used as a framework for these calculations, ΔQM appears to be a good probe for the reorganization along the Marcus coordinate (the first exponential term of Eq. 3). Reorganization energy indicates the extent to which the electrostatic environment of the tunneling particle must change in order to reach the TRS (45). The fact that electronic changes have little effect in the forward direction suggests that the system is well preorganized for the forward reaction. That is, by binding the substrates and forming the Zn-alkoxide intermediate, the enzyme accomplishes much of the necessary changes to reach the TRS. In the reverse direction, however, reorganization after binding plays a crucial role and electronic changes affect the extent to which the system must reorganize to reach the TRS.
How can one reconcile an early TRS (for the forward reaction) with the overall endothermicity of the reaction? The Hammond postulate predicts a late TRS for an endothermic reaction. The equilibrium in solution favors the alcohol-NAD+ side of the reaction (at catalytically relevant pH) (7), but the solution equilibrium is not directly relevant to the rate-limiting hydride transfer step under study. Measurements of internal (on the enzyme) equilibrium gave a value of Keq = 0.15 in favor of the alcohol-NAD+ side, predicting a late TRS (9), but the internal equilibrium is close to unity and very likely a combination of at least two steps: the deprotonation of the alcohol and the hydride transfer that follows (46). Indeed, QM/MM calculations for this reaction found that the hydride transfer step is exothermic, despite the fact that the overall reaction was endothermic (24, 27). Our results indicating an alkoxide-like TRS for the hydride transfer bolster the argument that this step truly is exothermic.
The overall course of the reaction appears to be the following: After the Zn alkoxide forms, the Zn-O bond lengthens, accompanied by changes in the hybridization of the donor and acceptor carbons to reach a symmetric double-well potential along the H-transfer coordinate (Fig. 3). Once the system achieves this TRS, rate-promoting vibrations of the enzyme (47) allow the substrates to sample a range of DADs. When the DAD reaches 3.2 Å (weighted average), the probability density of the hydride can spread from the donor well to the acceptor well on a time scale similar to the lifetime of the TRS. Once the degeneracy of the TRS dissolves, the wave function of the tunneling hydride collapses and it is trapped in the product state.
Conclusions
For nearly four decades, data addressing the yADH catalyzed reaction appeared contradictory and could not be rationalized within a single model. New measurements of H/T and D/T 2° KIEs for the yADH catalyzed reduction of benzaldehyde by NADH deviated from the range predicted by semiclassical theories. These data completed the set of 2° KIEs available for this enzyme and allowed us to develop an empirical model that is consistent with all the data. This model shed light on the nature of the phenomenon described in the past as H tunneling and 1°–2° coupled motion (12, 15–18).
The picture of the reaction emphasizes the dual importance of a short DAD as well as degenerate donor and acceptor wells at the TRS. Such a picture opens the doorway to a better understanding of how enzymes stabilize the TRS. The current findings are likely to spur both experimental and theoretical work to better understand the TRS of yADH and other enzymatic and nonenzymatic reactions. To test and consolidate this picture, its predictions will be assessed experimentally. The present model predicts, for example, that H/T 2° KIEs in the forward direction will be greater with H transfer than with D transfer and that the 2° SSE will conform to the semiclassical value so long as both the H/T and D/T KIEs are measured with the same nucleus at the 1° position. Additionally, the findings presented here are likely to inspire high-level theoretical studies of yADH, for which a crystal structure is now available (Protein Data Bank ID code 2HCY), to illuminate the question of how the substrates reach the TRS and what role the enzyme plays in that process.
Materials and Methods
Detailed experimental and computational methods are available in SI Text. A brief description is provided below.
Kinetic Experiments.
The H/T and D/T 2° KIEs for the reduction of benzaldehyde were measured competitively in reaction conditions designed to mimic those used in previous studies of this enzyme (18). [7-3H]-benzaldehyde was synthesized by reduction of benzoyl chloride by [3H]-NaBH4 (48). [ring-14C]-benzaldehyde (as a trace for 1H or 2H) was commercially available (American Radiolabeled Chemicals). [7-2H; ring-14C]-benzaldehyde was produced by CN-catalyzed exchange of the aldehydic proton with D2O (49). R-[4-2H]-NADH (NADD) was produced by ADH-catalyzed reduction of NAD+ by EtOH-d6 (50). To measure the H/T KIE, [ring-14C]-benzaldehyde was copurified with [7-3H]-benzaldehyde and the substrate was consumed by an excess of NADH in the presence of yADH. The D/T KIE used [7-2H; ring-14C]-benzaldehyde and NADD. The reactions were quenched at a range of time points, and samples were analyzed as described in SI Text to measure the depletion of tritium in the product as a function of fractional conversion, to yield the KIE.
Computational Modeling.
KIEs and EIEs were calculated on the basis of isotopic differences in vibrational frequencies between reactants and the TRS according to the Bigeleisen equation (51) by using the program ISOEFF 07 (52). Vibrational frequencies were calculated by Gaussian 03 (53) at the B3LYP level of theory. To model the effects of hydrogen tunneling on KIEs, the TRS was treated as a simple linear combination of degenerate donor and acceptor states:
[5] |
Vibrational frequencies at the TRS were approximated as the average between the frequencies calculated for the individual donor and acceptor states (see SI Text for details). To obtain fits to experimentally determined KIEs, geometrical properties of the TRS were parameterized as described in the text.
Supplementary Material
Acknowledgments.
We thank Bryce Plapp for assistance in expression and purification of the enzyme and useful discussions. We thank Judith Klinman and Chris Cheatum for useful discussions and insightful comments on the manuscript. This work was supported by National Science Foundation Grant CHE-0133117 and National Institutes of Health Grant R01 GM65368 (to A.K.). D.R. is supported by a predoctoral fellowship from the National Institutes of Health (T32 GM008365).
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/lookup/suppl/doi:10.1073/pnas.1000931107/-/DCSupplemental.
References
- 1.Nagel ZD, Klinman JP. Tunneling and dynamics in enzymatic hydride transfer. Chem Rev. 2006;106:3095–3118. doi: 10.1021/cr050301x. [DOI] [PubMed] [Google Scholar]
- 2.Pu JZ, Gao JL, Truhlar DG. Multidimensional tunneling, recrossing, and the transmission coefficient for enzymatic reactions. Chem Rev. 2006;106:3140–3169. doi: 10.1021/cr050308e. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Hammes-Schiffer S. Hydrogen tunneling and protein motion in enzyme reactions. Acc Chem Res. 2006;39:93–100. doi: 10.1021/ar040199a. [DOI] [PubMed] [Google Scholar]
- 4.Kohen A. In: Isotope Effects in Chemistry and Biology. Kohen A, Limbach H-H, editors. Boca Raton: Taylor & Francis; 2006. pp. 743–764. [Google Scholar]
- 5.Masgrau L, et al. Atomic description of an enzyme reaction dominated by proton tunneling. Science. 2006;312:237–241. doi: 10.1126/science.1126002. [DOI] [PubMed] [Google Scholar]
- 6.Warshel A, et al. Electrostatic basis for enzyme catalysis. Chem Rev. 2006;106:3210–3235. doi: 10.1021/cr0503106. [DOI] [PubMed] [Google Scholar]
- 7.Klinman JP. Mechanism of enzyme-catalyzed reduced nicotinamide adenine dinucleotide-dependent reductions—Substituent and isotope-effects in yeast alcohol-dehydrogenase reaction. J Biol Chem. 1972;247:7977–7987. [PubMed] [Google Scholar]
- 8.Klinman JP. Isotope-effects and structure-reactivity correlations in yeast alcohol-dehydrogenase reaction—Study of enzyme-catalyzed oxidation of aromatic alcohols. Biochemistry. 1976;15:2018–2026. doi: 10.1021/bi00654a032. [DOI] [PubMed] [Google Scholar]
- 9.Dickinson FM, Dickenson CJ. Estimation of rate and dissociation-constants involving ternary complexes in reactions catalyzed by yeast alcohol-dehydrogenase. Biochem J. 1978;171:629–637. doi: 10.1042/bj1710629. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Pal S, Park D-H, Plapp BV. Activity of yeast alcohol dehydrogenases on benzyl alcohols and benzaldehydes: Characterization of ADH1 from Saccharomyces carlsbergensis and transition state analysis. Chem Biol Interact. 2009;178:16–23. doi: 10.1016/j.cbi.2008.10.037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Streitwieser A, Jagow RH, Fahey RC, Suzuki S. Kinetic isotope effects in the acetolyses of deuterated cyclopentyl tosylates. J Am Chem Soc. 1958;80:2326–2332. [Google Scholar]
- 12.Cook PF, Oppenheimer NJ, Cleland WW. Secondary deuterium and N-15 isotope effects in enzyme-catalyzed reactions—Chemical mechanism of liver alcohol-dehydrogenase. Biochemistry. 1981;20:1817–1825. doi: 10.1021/bi00510a016. [DOI] [PubMed] [Google Scholar]
- 13.Truhlar DG. Tunneling in enzymatic and nonenzymatic hydrogen transfer reactions. J Phys Org Chem. doi: 10.1002/poc.1676. [Google Scholar]
- 14.Swain CG, Stivers EC, Reuwer JF, Schaad LJ. Use of hydrogen isotope effects to identify the attacking nucleophile in the enolization of ketones catalyzed by acetic acid. J Am Chem Soc. 1958;80:5885–5893. [Google Scholar]
- 15.Saunders WH. Calculations of isotope effects in elimination-reactions—New experimental criteria for tunneling in slow proton transfers. J Am Chem Soc. 1985;107:164–169. [Google Scholar]
- 16.Huskey WP, Schowen RL. Reaction-coordinate tunneling in hydride-transfer reactions. J Am Chem Soc. 1983;105:5704–5706. [Google Scholar]
- 17.Huskey WP. Origin of apparent Swain-Schaad deviations in criteria for tunneling. J Phys Org Chem. 1991;4:361–366. [Google Scholar]
- 18.Cha Y, Murray CJ, Klinman JP. Hydrogen tunneling in enzyme-reactions. Science. 1989;243:1325–1330. doi: 10.1126/science.2646716. [DOI] [PubMed] [Google Scholar]
- 19.Bahnson BJ, Park DH, Kim K, Plapp BV, Klinman JP. Unmasking of hydrogen tunneling in the horse liver alcohol-dehydrogenase reaction by site-directed mutagenesis. Biochemistry. 1993;32:5503–5507. doi: 10.1021/bi00072a003. [DOI] [PubMed] [Google Scholar]
- 20.Kohen A, Cannio R, Bartolucci S, Klinman JP. Enzyme dynamics and hydrogen tunnelling in a thermophilic alcohol dehydrogenase. Nature. 1999;399:496–499. doi: 10.1038/20981. [DOI] [PubMed] [Google Scholar]
- 21.Alston WC, Kanska M, Murray CJ. Secondary WT and D/T isotope effects in enzymatic enolization reactions. Coupled motion and tunneling in the triosephosphate isomerase reaction. Biochemistry. 1996;35:12873–12881. doi: 10.1021/bi960831a. [DOI] [PubMed] [Google Scholar]
- 22.Rucker J, Klinman JP. Computational study of tunneling and coupled motion in alcohol dehydrogenase-catalyzed reactions: Implication for measured hydrogen and carbon isotope effects. J Am Chem Soc. 1999;121:1997–2006. [Google Scholar]
- 23.Kohen A, Jensen JH. Boundary conditions for the Swain-Schaad relationship as a criterion for hydrogen tunneling. J Am Chem Soc. 2002;124:3858–3864. doi: 10.1021/ja016909e. [DOI] [PubMed] [Google Scholar]
- 24.Alhambra C, Corchado JC, Sanchez ML, Gao JL, Truhlar DG. Quantum dynamics of hydride transfer in enzyme catalysis. J Am Chem Soc. 2000;122:8197–8203. [Google Scholar]
- 25.Alhambra C, et al. Canonical variational theory for enzyme kinetics with the protein mean force and multidimensional quantum mechanical tunneling dynamics. Theory and application to liver alcohol dehydrogenase. J Phys Chem B. 2001;105:11326–11340. [Google Scholar]
- 26.Webb SP, Agarwal PK, Hammes-Schiffer S. Combining electronic structure methods with the calculation of hydrogen vibrational wavefunctions: Application to hydride transfer in liver alcohol dehydrogenase. J Phys Chem B. 2000;104:8884–8894. [Google Scholar]
- 27.Cui Q, Elstner M, Karplus M. A theoretical analysis of the proton and hydride transfer in liver alcohol dehydrogenase (LADH) J Phys Chem B. 2002;106:2721–2740. [Google Scholar]
- 28.Pudney CR, Hay S, Sutcliffe MJ, Scrutton NS. Alpha-secondary isotope effects as probes of “tunneling-ready” configurations in enzymatic H-tunneling: Insight from environmentally coupled tunneling models. J Am Chem Soc. 2006;128:14053–14058. doi: 10.1021/ja0614619. [DOI] [PubMed] [Google Scholar]
- 29.Kiefer PM, Hynes JT. Isotope Effects in Chemistry and Biology. Boca Raton: Taylor & Francis; 2006. pp. 549–578. [Google Scholar]
- 30.Marcus RA. H and other transfers in enzymes and in solution: Theory and computations, a unified view. 2. Applications to experiment and computations. J Phys Chem B. 2007;111:6643–6654. doi: 10.1021/jp071589s. [DOI] [PubMed] [Google Scholar]
- 31.Kuznetsov AM, Ulstrup J. Proton and hydrogen atom tunnelling in hydrolytic and redox enzyme catalysis. Can J Chem. 1999;77:1085–1096. [Google Scholar]
- 32.Knapp MJ, Klinman JP. Environmentally coupled hydrogen tunneling—Linking catalysis to dynamics. Eur J Biochem. 2002;269:3113–3121. doi: 10.1046/j.1432-1033.2002.03022.x. [DOI] [PubMed] [Google Scholar]
- 33.Pu JZ, et al. Nonperfect synchronization of reaction center rehybridization in the transition state of the hydride transfer catalyzed by dihydrofolate reductase. J Am Chem Soc. 2005;127:14879–14886. doi: 10.1021/ja054170t. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Klinman JP. Linking protein structure and dynamics to catalysis: the role of hydrogen tunnelling. Philos T R Soc B. 2006;361:1323–1331. doi: 10.1098/rstb.2006.1870. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Lin S, Saunders WH. Tunneling in elimination-reactions—Structural effects on the secondary beta-tritium isotope effect. J Am Chem Soc. 1994;116:6107–6110. [Google Scholar]
- 36.Welsh KM, Creighton DJ, Klinman JP. Transition-state structure in the yeast alcohol-dehydrogenase reaction—The magnitude of solvent and alpha-secondary hydrogen isotope effects. Biochemistry. 1980;19:2005–2016. doi: 10.1021/bi00551a001. [DOI] [PubMed] [Google Scholar]
- 37.Wilde TC, Blotny G, Pollack RM. Experimental evidence for enzyme-enhanced coupled motion/quantum mechanical hydrogen tunneling by ketosteroid isomerase. J Am Chem Soc. 2008;130:6577–6585. doi: 10.1021/ja0732330. [DOI] [PubMed] [Google Scholar]
- 38.Karsten WE, Hwang CC, Cook PF. Alpha-secondary tritium kinetic isotope effects indicate hydrogen tunneling and coupled motion occur in the oxidation of L-malate by NAD-malic enzyme. Biochemistry. 1999;38:4398–4402. doi: 10.1021/bi982439y. [DOI] [PubMed] [Google Scholar]
- 39.Truhlar DG, Garrett BC. Variational transition-state theory. Annu Rev Phys Chem. 1984;35:159–189. [Google Scholar]
- 40.Redington RL. H atom and heavy atom tunneling processes in tropolone. J Chem Phys. 2000;113:2319–2335. [Google Scholar]
- 41.Meyer MP, Klinman JP. Modeling temperature dependent kinetic isotope effects for hydrogen transfer in a series of soybean lipoxygenase mutants: The effect of anharmonicity upon transfer distance. Chem Phys. 2005;319:283–296. doi: 10.1016/j.chemphys.2005.05.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Cohen-Tannoudji C, Diu B, Laloë F. Quantum Mechanics. New York: Wiley; 1977. [Google Scholar]
- 43.Pang JY, Hay S, Scrutton NS, Sutcliffe MJ. Deep tunneling dominates the biologically important hydride transfer reaction from NADH to FMN in morphinone reductase. J Am Chem Soc. 2008;130:7092–7097. doi: 10.1021/ja800471f. [DOI] [PubMed] [Google Scholar]
- 44.Essa AH. Hammett MSP Taft DSP analysis of substituent effects on Mulliken charges of 1-(arylmethylene)-1H-cyclopropanaphthalene. Int J Quantum Chem. 2007;107:1574–1577. [Google Scholar]
- 45.Villa J, Warshel A. Energetics and dynamics of enzymatic reactions. J Phys Chem B. 2001;105:7887–7907. [Google Scholar]
- 46.Shearer GL, Kim KY, Lee KM, Wang CK, Plapp BV. Alternative pathways and reactions of benzyl alcohol and benzaldehyde with horse liver alcohol dehydrogenase. Biochemistry. 1993;32:11186–11194. doi: 10.1021/bi00092a031. [DOI] [PubMed] [Google Scholar]
- 47.Antoniou D, Schwartz SD. Internal enzyme motions as a source of catalytic activity: Rate-promoting vibrations and hydrogen tunneling. J Phys Chem B. 2001;105:5553–5558. [Google Scholar]
- 48.Entwistle ID, Boehm P, Johnstone RAW, Telford RP. Metal-assisted reactions. 8. Selectivity in the reaction of organic halides with tetrahydroborate and the reduction of acyl halides to aldehydes. J Chem Soc Perk T. 1980;1:27–30. [Google Scholar]
- 49.Chancellor T, Quill M, Bergbreiter DE, Newcomb M. Formyl-D aromatic-aldehydes. J Org Chem. 1978;43:1245–1246. [Google Scholar]
- 50.Rafter GW, Colowick SP. Enzymatic preparation of Dpnh and Tpnh. Method Enzymol. 1957;3:887–890. [Google Scholar]
- 51.Bigeleisen J. The relative reaction velocities of isotopic molecules. J Chem Phys. 1949;17:675–678. [Google Scholar]
- 52.Anisinov V, Paneth P. Lodz, Poland: Technical University of Lodz; 2007. ISOEFF 07. [Google Scholar]
- 53.Frisch MJ, et al. Wallingford, CT: Gaussian, Inc; 2004. GAUSSIAN 03. Revision E.01. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.