Protein Science
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Protein Science (2004), 13:2341-2354. Published by Cold Spring Harbor Laboratory Press. Copyright © 2004 The Protein Society
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Garcia-Viloca, M.
Right arrow Articles by Gao, J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Garcia-Viloca, M.
Right arrow Articles by Gao, J.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?

Sensitivity of molecular dynamics simulations to the choice of the X-ray structure used to model an enzymatic reaction

Mireia Garcia-Viloca, Tina D. Poulsen, Donald G. Truhlar and Jiali Gao

Department of Chemistry and Supercomputer Institute, University of Minnesota, Minneapolis, Minnesota 55455, USA

Reprint requests to: Donald G. Truhlar, Department of Chemistry and Supercomputer Institute, University of Minnesota, Minneapolis, MN 55455, USA; e-mail: truhlar{at}umn.edu; fax: (612) 626-9390.

(RECEIVED December 13, 2003; FINAL REVISION January 19, 2004; ACCEPTED January 20, 2004)


    Abstract
 TOP
 Abstract
 Introduction
 Materials and methods
 Results and Discussion
 References
 
A subject of great practical importance that has not received much attention is the question of the sensitivity of molecular dynamics simulations to the initial X-ray structure used to set up the calculation. We have found two cases in which seemingly similar structures lead to quite different results, and in this article we present a detailed analysis of these cases. The first case is acyl-CoA dehydrogenase, and the chief difference of the two structures is attributed to a slight shift in a backbone carbonyl that causes a key residue (the proton-abstracting base) to be in a bad conformation for reaction. The second case is xylose isomerase, and the chief difference of the two structures appears to be the ligand sphere of a Mg2+ metal cofactor that plays an active role in catalysis.

Keywords: combined quantum mechanics/molecular mechanics; molecular dynamics; potential of mean force; structure-based enzyme modeling

Article and publication date are at http://www.proteinscience.org/cgi/doi/10.1110/ps.03504104.


    Introduction
 TOP
 Abstract
 Introduction
 Materials and methods
 Results and Discussion
 References
 
Molecular dynamics (MD) simulations of enzyme reactions begin with the construction of a model for the Michaelis complex, typically making use of X-ray crystal structures that are complexed with a substrate analog. Except in a few rare cases, the X-ray structures are not the Michaelis complex with the native substrate bound, which would be the most relevant structure for the simulation. Sometimes the available structures are obtained from a different species (e.g., bacterial rather than human), or the enzyme has no ligand or is bound to an inhibitor or product, or the enzyme has been mutated or modified to facilitate the crystallization process. In other cases the crystal may have different quaternary structure (e.g., monomer, dimer, tetramer) than the active form of the enzyme. Any of these variations may significantly or subtly alter the structure and function of the native biological system. Furthermore, in most cases the experimental conditions (such as pH, temperature, and co-solute) used to crystallize proteins are very different from the biological conditions under which a given enzyme functions in vivo. Little is known of the effect of these experimental conditions on the enzyme structure, and it is possible that attendant changes in the enzyme could mask critical interactions necessary for its in vivo efficiency. Often there are two or more structures of a given enzyme that differ in binding partner or in crystallization conditions. In this article we consider a question that is relevant to all structure-based computer studies of enzymatic reactions, in particular, the importance of the choice of X-ray structure that is used to obtain initial coordinates for the simulation.

In the present article we present two examples, acyl-CoA dehydrogenase (ACAD)1 and xylose isomerase (XyI),2 in which the initial X-ray structure chosen to model an enzymatic reaction was found to be in a significantly less reactive conformation than a second choice made later. In particular, only the use of the second structure allowed us to build a model that yielded reasonable results for the enzymatic reaction studied. We hope that these examples illustrate a crucial element in the study of enzymatic reactions, even before the simulation has started, namely, the criticality of the choice of X-ray structure that is used to build a model for the Michaelis complex. For each enzyme we will compare potentials of mean force (PMFs) computed using two different X-ray structures as starting point.


    Materials and methods
 TOP
 Abstract
 Introduction
 Materials and methods
 Results and Discussion
 References
 
We calculate PMFs (also called free energy profiles) by using umbrella sampling techniques in MD simulations based on combined quantum mechanical–molecular mechanical (QM/MM; Warshel and Levitt 1976; Singh and Kollman 1986; Bash et al. 1987; Gao 1995; Gao et al. 1998; Gao and Truhlar 2002) potential energy functions. The computational details have been given in previous articles on these two enzymatic systems (Garcia-Viloca et al. 2002, 2003; Poulsen et al. 2003). In both studies, the active site is represented quantum mechanically with a semiempirical method (Dewar et al. 1985; Stewart 1989). For the electrostatics, we include all charge–charge interactions within a cutoff.

The original aim of these studies was to elucidate the catalytic mechanism of the ACAD and XyI enzymes and to calculate the primary kinetic isotope effect on the rate constants. For the latter objective, we needed to improve the accuracy of the QM/MM potential energy surfaces, and we used (Garcia-Viloca et al. 2003; Poulsen et al. 2003) specific reaction parameters (Gonzalez-Lafont et al. 1991) for the semi-empirical method or we added a valence bond correction term (Alhambra et al. 1999; Devi-Kesavan et al. 2003) to the total potential energy. In the present article, however, for the purpose of comparison, all calculations were carried out without specific reaction parameters or valence bond terms. Therefore, the free energy profiles are not quantitatively identical to those of Garcia-Viloca et al. (2003) and Poulsen et al. (2003).

In the simulations of ACAD, 55 atoms were treated quantum mechanically by the semiempirical Austin model 1 (AM1; Dewar et al. 1985). These atoms include (Poulsen et al. 2003) part of the substrate, the flavin adenine dinucleotide (FAD) cofactor, and the side-chain of Glu376 for medium-chain ACAD or the side-chain of Glu367 for butyryl-CoA dehydrogenase (BCAD). The rest of the protein-solvent system was represented classically by the CHARMM (MacKerell et al 1998) force field and the TIP3P (Jorgensen et al. 1983) water model. For the proton and the hydride transfer steps, the reaction coordinate was defined as the difference between the distance of the proton or hydride atom from the donor atom and its distance from the acceptor atom (Poulsen et al. 2003).

In the simulations of the XyI reaction, all 19 atoms of the substrate (D-xylose) were represented quantum mechanically by the semiempirical PM3 method (Stewart 1989). The enzymatic residues and the solvent were represented by the CHARMM force field and the TIP3P water model, respectively. The reaction coordinate was defined as the difference between the breaking bond distance and the forming bond distance of the hydride transfer step (Garcia-Viloca et al. 2003).

In all simulations in this article, we use stochastic boundary conditions (Brooks et al. 1985) in which the atoms in a spherical shell centered on the active site are treated by restrained Langevin dynamics. The shell extends from 25 Å to 30 Å for ACAD and from 20 Å to 24 Å for XyI; the region inside the inner radius is called the reaction zone and is treated by unrestrained Newtonian dynamics. All atoms in the stochastic buffer shell are restrained by a harmonic restoring potential to remain close to their original positions, and in addition, they are subject to Langevin forces, which consist of a frictional force and a thermal random force. A consequence of the restraint is that certain large-amplitude protein motions are excluded. For example, if there is a hinge or domain motion in the tertiary or quaternary structure, the hinge might lie outside of the reaction zone. Thus, the calculations involve the implicit assumption that large-amplitude motions of this extent are not important for the chemical step (e.g., we assume that they do not couple to the reaction coordinate), although, for example, they might be important for substrate binding or product release. A more subtle possibility is that such large-amplitude motion might be coupled to conformational transitions near the active site, and excluding them could make it more difficult for the simulation to evolve into the most productive conformation. Local conformational changes of a few tenths to 2 Å that can be accomplished with small barriers are taken into account, and this may be very important.


    Results and Discussion
 TOP
 Abstract
 Introduction
 Materials and methods
 Results and Discussion
 References
 
Acyl-CoA dehydrogenase
The family of ACADs is very large, with nine members (Ghisla and Thorpe 2004). We are concerned here with the subfamily that catalyzes the first step of the {beta}-oxidation cycle of straight-chain fatty acids; this step involves the oxidation of fatty acyl-CoA substrates to trans-enoyl-CoA products.

Various members of subclass of straight-chain dehydrogenating enzymes may be considered, and they have different substrate specificities. We consider short (SCAD) and medium (MCAD) chain ACADs. Although the chain-length specificities depend on pH and other conditions, SCADs are typically optimal for fatty acids with chain lengths of about four carbon atoms, and MCADs are typically optimal for chain lengths of about eight (Ikeda et al. 1985; Finocchario et al. 1987; Trivel et al. 1995; Nandy et al. 1996; Ghisla et al. 2003), but the specificity ranges tend to be fairly broad and overlapping (e.g., both SCADs and MCADs are active for chain lengths in the range of four to six). In the present study, we compare two MD simulations, one based on the X-ray structure of mammalian MCAD (Lee et al. 1996) and the other based on BCAD (Djordjevic et al. 1995), which is a bacterial analog of the SCAD from mammalian mitochondria. BCAD can be purified in high yield from bacterial cells, and therefore, a number of experimental studies have been performed on BCAD. In Figure 1Go, we show the FAD cofactor, the substrate, and the participating enzymatic residue along with a proposed mechanism. A body of evidence summarized elsewhere (Ghisla et al. 1984; Powell and Thorpe 1988; Bross et al. 1990; Vock et al. 1998; Ghisla and Thorpe 2004) indicates that, in ACADs, a glutamate (Glu367 in BCAD and Glu376 in MCAD) initiates the oxidation process by abstracting the substrate {alpha}-proton. The overall reaction involves the concomitant or subsequent transfer of a hydride ion from the {beta}-carbon to the N5 position of flavin, resulting in the reduction of the FAD. These steps yield the two-electron–reduced flavin (FADH2 or FADH, which is the deprotonated form of FADH2) and oxidized enoyl-CoA product (Palfrey and Massey 1998; Ghisla and Thorpe 2004). Conceivably, the reduction of FAD can proceed via two extreme mechanisms, by a concerted proton–hydride transfer or a stepwise process (which has two possibilities: proton, then hydride; or proton, then electron, then hydrogen atom). In the present article, we only consider the proton followed by hydride stepwise mechanism, and we focus on the hydride step. We refer to recent articles (Rudik et al. 1998; Vock et al. 1998; Engst et al. 1999; Tamaoki et al. 1999; Pellett et al. 2000; Peterson et al. 2001; Bach et al. 2002; Gopalan and Srivastava 2002; Lamm et al. 2002; Ghisla and Thorpe 2004; Poulsen et al. 2003) for additional discussion of the reaction mechanism.



View larger version (14K):
[in this window]
[in a new window]
 
Figure 1. Schematic representation of the oxidation of butyryl CoA. The figure shows two possible resonance structures (mesormeric forms) of the reduced flavin.

 
The functional form of the ACAD proteins is a homotetramer. In an attempt to obtain the most relevant structure for simulating the in vivo functionality of the enzyme, we restricted our attention for the first simulation to two crystal structures in the Protein Data Bank (PDB) that contain all four monomers. One is the human MCAD wild-type protein (PDB: 1EGE [PDB] ; Lee et al. 1996), and the other is the Glu376Gly/Thr255Glu double mutant (PDB: 1EGC [PDB] ; Lee et al. 1996). Another interesting possibility would have been to start with one of the X-ray structures of MCAD from pig liver mitochondria (PDB: 1MDD and 1MDE; Kim et al. 1993), which are dimers of free and reduced-substrate enzyme, respectively; however, we chose instead to study the human enzyme. The X-ray structure for the wild-type human MCAD protein does not contain substrate, although a substrate was used to soak the unligated MCAD, and no significant differences between uncomplexed and complexed structures were observed at a low level of resolution. For the simulation we needed a wild-type structure containing the substrate in the active site. Starting with these two X-ray structures, we have two possible options to construct the Michaelis complex. The first would be to start with the wild type and dock in a substrate, which may be achieved by energy minimizations. The second approach is to start with the double-mutant structure, which already has a substrate, n-octanoyl-CoA (or its product or an equilibrium mixture), complexed in the active site, and undo the mutation to recover the wild-type residues. Because it appears that there is greater uncertainty in substrate docking than mutation, we decided to use the second option. Therefore, we used the double-mutant structure (PDB: 1EGC [PDB] ), which contains a substrate, and replaced the mutated two residues Gly376 and Glu255 by Glu and Thr, respectively, to obtain a structure representing the wild-type enzyme with substrate bound. The side chains in these replacements were optimized by minimizing the root mean square (RMS) deviation with respect to that of the wild-type apoenzyme. The substrate in the mutant structure was n-octanoyl-CoA, which is known to be the most reactive substrate for MCAD (Vock et al. 1998).

In the simulations of BCAD, we used the crystal structure with the PDB code 1BUC [PDB] (Djordjevic et al. 1995). This structure was given as a dimer, from which the tetrameric structure is obtained by symmetry transformation based on the space group of the crystal. The structure contains an inhibitor, acetoacetyl-CoA. Compared with the normal substrate, the inhibitor is blocked in the {beta}-position with a C = O group instead of the corresponding CH2 group in the substrate. We replaced the C = O group with a CH2 group to obtain a model for the Michaelis complex structure. To accommodate the change in the geometry of the substrate after the replacement, the geometry of the part of the system included in a sphere of 20 Å centered at the active site was optimized for 40 steps of energy minimization with the rest of the coordinates frozen at the X-ray geometry. Then stochastic boundary MD simulations were carried out (see Materials and Methods) in order to allow adjustment of the environment to the ligand change.

Experimental data for kinetic isotope effects are available for MCAD (Pohl et al. 1986; Schopfer et al. 1988). It is not clear a priori whether these can be or should be reproducible by simulations that do not take account of small differences in protein structures, and one goal of the present article is to present some of our findings relevant to this question.

Simulations using structures derived from MCAD and BCAD with n-octanoyl and butyryl substrates, respectively, will be called simulation 1 and simulation 2, respectively. In all simulations, we included the dynamics of all subunits of the tetramer that are within 30 Å of one of the active sites. This active site was used to model the chemical reaction, and this active site was solvated by a 30 Å sphere of previously equilibrated water molecules around the active center.

Structural differences in ACADs
Figure 2Go shows a superimposition of the wild-type apoenzyme and the double-mutant protein, which contains the substrate n-octanoyl-CoA. The figure shows that the conformation of Glu99 is different between the wild type and the mutant. In the later structure, Glu255 and Glu99 are in close contact and appear to form a hydrogen bond. If this is the case, Glu255 and Glu99 must share a proton to maintain the short distance observed in the X-ray structure. In contrast, the wild-type enzyme does not contain a hydrogen bond between Thr255 and Glu99 in the apoenzyme.



View larger version (33K):
[in this window]
[in a new window]
 
Figure 2. Superimposition of the X-ray structures of the human wild-type protein (PDB: 1EGE [PDB] ; Lee et al. 1996) and the Glu376Gly/Thr255Glu double mutant (PDB: 1EGC [PDB] ; Lee et al. 1996). The former structure is shown in violet, whereas the color code for the mutant structure is as follows: green for carbon, red for oxygen, yellow for sulfur, and blue for nitrogen. The red labels indicate the mutated residues. The interaction distances of important hydrogen bonds are shown in angstroms. The arrows point out the {alpha} carbon of enzymatic residues.

 
Djordjevic et al. (1995) determined the structure of BCAD and concluded that BCAD and MCAD differ mainly in their substrate specificities and the significant oxygen reactivity exhibited by BCAD (which works in an anaerobic environment) but not by MCAD; the overall folding of BCAD is rather similar to that of MCAD (Djordjevic et al. 1995). Sequence alignment of bacterial BCAD shows ~40% and 44% homology with the amino acid sequences of mammalian MCAD and SCAD, respectively (Djordjevic et al. 1995). The residues in the part of active site of BCAD containing the C{alpha}–C{beta} bond and the FAD align almost perfectly (with a RMS deviation of 0.2 Å) with the corresponding residues of MCAD, and in particular, Glu367 in structure of BCAD complexed to acetoacetyl-CoA is in the same conformation as Glu376 in MCAD complexed to octanoyl-CoA. However, other parts of the complexes exhibit significant differences (Djordjevic et al. 1995). In particular, there is a significant discrepancy between the two structures in the "bottom" of the fatty acid binding pocket. The acyl-CoA substrate binds between helices E and G. In BCAD, these two helices are much closer than those in MCAD. Clearly, the substrate-binding cavity of BCAD is shallower, which may contribute to the distinct substrate specificities exhibited by these two enzymes. There are two reasons for this. First, the insertion of a valine or asparagine in helix E after Ser93 in BCAD and SCAD, which is not found after the corresponding residue (Asn101) in MCAD, causes a shift in the amino acid sequence of the helix of the bacterial and short-chain enzymes relative to that in the medium-chain enzymes, and it changes which side chains are oriented toward the substrate in each member of the ACAD class of enzymes. Second, in BCAD and SCAD there is no proline in helix G corresponding to Pro257 of MCAD (which is conserved among MCAD enzymes from pig, human, and rat mitochondria), and as a consequence, the helix in BCAD is straighter and closer to the substrate. In addition, Djordjevic et al. (1995) found that the cofactor FAD in BCAD is more exposed to solvent than that in MCAD. They proposed that solvation can stabilize the superoxide anion and considerably increase the rate of oxidation of reduced flavin by molecular oxygen in the bacterial enzyme. The relevance of such studies to our own simulations is an important but hard-to-answer question because it is difficult to sort out the factors that control oxygen reactivity from those that affect specificity (Pohl et al. 1986; Djordjevic et al. 1995), and one should keep in mind that different ligands may have differing effects on the positions of the residues.

Simulations
The possible role of an equilibrium of conformational states of the activating glutamate has been discussed in previous work (Tamaoki 1999). The active site of the initial structure of MCAD from our first simulation is shown in Figure 3Go. The relative orientation of the basic residue Glu376 in the active site indicates that it is in a good position for reaction. The positively charged arginine (residue 256) is stabilized by hydrogen bonds to the backbone C = O group of Glu376 and to the side chain of Asp253. The system was heated and equilibrated for a total of 80 psec by running stochastic boundary MD at the temperature (277 K) used experimentally (Schopfer et al. 1988) to determine the rate constant and kinetic isotope effects. This provided the starting structure in simulation 1 for calculating the PMF by the umbrella sampling technique. During the equilibration stage, the carboxylate group of Glu376 was found to turn toward the charged Arg256 residue. This results in a strong interaction between Arg256 and the carboxylate group of Glu376, making Glu376 a much weaker base for proton abstraction. Concomitantly, both Asp253 and the backbone C = O of Glu376 moved away from Arg256. The resulting structure is depicted (as an instantaneous snapshot after equilibration, not a minimized structure) in Figure 4Go, which illustrates a strong electrostatic interaction between the ion pair of Glu376 and Arg256. This interaction hinders proton abstraction from the substrate and results in a very high barrier for the proton transfer. The structural change also affects the hydride transfer. Initially, the aliphatic chain of the substrate is sandwiched between the flavin ring and Glu376 with the {alpha}-hydrogen oriented toward the carboxylate group of Glu376 and the {beta}-hydrogen in close proximity to the N5 atom of flavin. The formation of the ion pair between Glu376 and Arg256 in the distorted enzyme configuration pulls Glu376 away from this favorable conformation for the chemical step, and the subsequent proton transfer reaction necessarily forces the substrate closer to the new Glu376 position. Consequently, we found that the entire octanoyl-CoA migrates ~1 Å, placing the {beta}-hydrogen in a poor orientation for the hydride ion transfer.



View larger version (23K):
[in this window]
[in a new window]
 
Figure 3. The initial structure and relative orientation of the active center of simulation 1. The substrate is n-octanoyl-CoA, and key distances are given in angstroms.

 


View larger version (19K):
[in this window]
[in a new window]
 
Figure 4. The structure and relative orientation of the active center of simulation 1 after equilibration. The substrate is n-octanoyl-CoA, and key distances are given in angstroms.

 
In BCAD, on the other hand (and switching to the BCAD numbering scheme), the interactions of Arg247 with the backbone of Glu367 and the side chain of Asp244 are maintained throughout the MD simulation. This, in turn, allows the substrate to retain an excellent orientation for both the proton and hydride transfer reactions. The equilibrated structure for BCAD that forms the starting point for simulation 2 is shown in Figure 5Go.



View larger version (22K):
[in this window]
[in a new window]
 
Figure 5. The structure and relative orientation of the active center of simulation 2 after equilibration. The substrate is butyryl-CoA, and the unit of the shown distances is angstroms.

 
The structural differences in the Michaelis models obtained from the MCAD and BCAD structures are clearly reflected in the PMFs, shown in Figure 6Go, obtained in simulations of the proton transfer in the two enzymes. Note that the relative vertical positioning of the two calculated curves is arbitrary, and therefore, for graphical purposes only, we set both curves to zero at reactants. For simulation 1, we obtain a barrier that is 13 kcal/mole higher than in simulation 2. Because the reactant is more stabilized in the former (because of the Glu–Arg+ interaction), this also results in a total energy of reaction that is too high due to the change from an ion pair interaction to an ion dipole (Arg+–Glu0) complex. The difference in energy of reaction for the two enzymes is 22 kcal/mole. We emphasize that matching the two curves in Figure 6Go at the left-hand side is a plotting convention, and it simply indicates that the calculation does not provide the relative vertical placement of the curves; our argument about reactant stabilization is an interpretation of the possible origin of the differences in the curves, not a direct result. We also emphasize that although simulation 1 is nominally an MCAD simulation and simulation 2 is nominally a BCAD simulation, the actual differences between the simulations may result more from details of the conformations in which the two simulations were initiated than from real differences between MCAD and BCAD. The key point is that the starting configurations may result more from the crystallization experiment (including mutation state, ligand, and pH) than from the conformational preference of the wild-type enzyme in aquo or in vivo.



View larger version (12K):
[in this window]
[in a new window]
 
Figure 6. Classical potentials of mean force (PMFs) for the proton transfer obtained for simulation 1 (solid line) and simulation 2 (dotted line). By definition, each PMF is zero at the reactant state.

 
We note that a strong interaction of Glu376 with Arg256 would affect not only the pKa of the former, but also would raise the pKa of the latter.

The strong interaction between Glu376 and Arg256 in simulation 1 also affects the PMF for the hydride transfer because the substrate moves away from the FAD ring, resulting in a poor conformation for hydride transfer. For this reaction step, the difference in the two reaction profiles (Fig. 7Go) is even greater than the proton transfer step. The barrier height for the hydride transfer in simulation 1 is 17 kcal/mole larger than the one in simulation 2.



View larger version (13K):
[in this window]
[in a new window]
 
Figure 7. Classical potentials of mean force for the hydride transfer obtained for simulation 1 (solid line) and simulation 2 (dotted line). Note that Figures 6Go and 7Go pertain to the same process.

 
In the previous section, we summarized the structural differences (Djordjevic et al. 1995) between the two MCAD structures and between BCAD and MCAD. In this section, we discuss possible effects of the mutations of residues Glu376 and Thr255, which may be responsible for the exceptionally high free energy of activation barriers (for both the proton and hydride transfer steps) calculated with the model of the MCAD reaction based on the structure of the mutant enzyme, as used in simulation 1.

The X-ray structures of MCAD show only small changes upon substrate binding (Kim et al. 1993). Four water molecules are displaced from the active site with the formation of two hydrogen bonds by the substrate thioester carbonyl with 2'-OH of the ribityl chain of the flavin, and with the backbone amide N-H of Glu376. In addition, the residues Glu99, Glu376, and Tyr375 move slightly. Glu99 turns by ~90°, making the substrate binding pocket deeper, and the OE1 and OE2 atoms of the Glu376 side chain move 1.1 Å and 3.78 Å, respectively (Kim et al. 1993).

The carboxyl group of Glu376 is intimately involved in modulating the microscopic environment of the active site of the enzyme during the course of ligand binding and catalysis (Bross et al. 1990; Nandy et al. 1996; Rudik et al. 1998; Peterson et al. 2001; Gopalan and Srivastava 2002).

Nandy et al. (1996) studied the kinetics of the double mutants Glu376Thr/Thr255Glu and Glu376Gly/Thr255Glu of MCAD, in which the abstracting base is moved to the position that it occupies in long-chain ACAD, as well as the Thr255Glu mutant, which differs from the wild type in charge and steric effects. They concluded that the proton abstraction has peculiar geometric requirements. They discussed the role of Arg256 but concluded that it is too far away to hydrogen bond to Glu376, which was confirmed by X-ray structures (Lee et al. 1996). Gopalan and Srivastava (2002) carried out experimental and molecular modeling studies on the Glu376Gln mutation that are relevant to the functions of the active site residues. They hypothesized that Glu376 is involved in structuring the cavity of the active site and the solvent and in modulating the dynamics of the protein conformational changes due to electrostatic interactions among Glu376, FAD, and the substrate. They surmised that electrostatic interactions between the negative carboxyl group of Glu376 and the partial positive charged isoalloxazine ring of the FAD maintain the active site of the enzyme and that the Glu376Gln substitution diminishes these interactions so that the active site cavity becomes more unstructured, resulting in a weaker protein–ligand interaction. The same argument applies to a Glu376Gly substitution.

The question of the of the other possible roles (e.g., electrostatic and steric) of Glu376, in addition to its function as the abstracting base, remains a burning question, as does the possible role of Arg256. Our results presented here throw fuel, not extinguisher, on this fire, and suggest that further studies of the roles of these residues would be valuable. They also provide a caution to modelers that subtle differences in starting structures of enzyme simulations might have large effects on the results. Clearly, we must be especially cautious in interpreting simulations that do not provide as much catalytic enhancement as experiment; this can apparently result from small defects in the structures used for the simulation and need not indicate that the postulated mechanism or the electronic structure description of the bond rearrangement itself is qualitatively incorrect.

One possible criterion for whether the enzyme structure should be considered reasonable is that, even though one may not perform full simulations on every step of the catalytic process, the enzyme structure has an arrangement of amino acids, ligands, and possible protonation states and conformational changes that allows one to propose a complete sequence of steps for the reaction mechanism. For example, we next turn to XyI, in which, although we modeled only one step in full, the structure allows a reasonable description of all the steps except the pyranose ring opening and closing steps, whereas another structure, with a different number of water molecules in the active site and different metal binding patterns, does not.

XyI: The use of an inhibitor-enzyme complex proposed to be a transition state analog
XyI catalyzes the interconversion of D-xylose and D-xylulose. In addition, the enzyme has the ability to isomerize D-glucose to D-fructose and for that reason has been extensively used in industry (Bhosale et al. 1996). The overall reaction consists of at least three chemical steps: (1) ring opening, (2) hydrogen transfer between C2 and C1, and (3) ring closure. The rate limiting step of the overall reaction is the intramolecular hydride shift from C2 to C1 (Collyer et al. 1990; Whitlow et al. 1991; Rangarajan and Hartley 1992; Zheng et al. 1993), which is accompanied by prior and post proton transfer from the O2 atom and to the O1 atom, respectively (Fig. 8Go). There are two magnesium ions in the active site of XyI that are required to achieve the enzyme function (Bhosale et al. 1996). The intramolecular hydride shift is relatively slow (kcat{cong} 0.6 to 18 sec–1; Jenkins et al. 1992; Lambier et al. 1992). Several crystal structures of the substrate–enzyme complex, which have been determined in different laboratories (Farber et al. 1989; Collyer et al. 1990; Whitlow et al. 1991; Jenkins et al. 1992; Lavie et al. 1994), contain a mixture of the reactant and the product substrates. In the presence of the substrate (D-xylose or D-glucose), the electron density of one of the metals does not have a spherical shape, which does not allow the resolution of a unique position for the metal. As a result, in some X-ray structures of substrate–enzyme complexes, there are two coordinates for one of the magnesium ions, and it is generally accepted that this metal moves during the hydride-shift (Collyer et al. 1990; Whitlow et al. 1991; Jenkins et al. 1992; Lavie et al. 1994). On the other hand, a unique position of the metal has been determined in structures in which the enzyme was co-crystallized with a nonsubstrate molecule, in particular two structures resolved by Collyer et al. (1990) that were proposed to be analogs of the Michaelis complexes, and the structure determined by Allen et al. (1995) with an inhibitor bounded in the active site of XyI from Streptomyces olivochromogenes (PDB: 2GYI [PDB] ). The inhibitor, D-threonohydroxamic acid (THA), was designed to mimic the transition state of the isomerization step (Fig. 8Go) catalyzed by XyI. Lavie et al. (1994) have resolved the structure of two substrates, D-glucose and 3-O-methylglucose, ligated to the same XyI (PDB: 1XYB [PDB] and PDB: 1XYC [PDB] , respectively), and the structure of the enzyme without substrate (PDB: 1XYA [PDB] ). The tautomer of THA bound in the active center of XyI was deduced by Allen et al. (1995) from their structural data, and it is represented in Figure 9Go. These researchers showed that the strong binding of the inhibitor did not induce any gross conformational change, although the reported C{alpha} RMS deviation of 0.27 Å for the enzyme main chain compared with the apoenzyme may be deceptively small (Lavie et al. 1994). On the basis of its high affinity and the structural similarities with the glucose complexed structure, Allen et al. (1995) postulated that THA resembles the proposed transition state for the enzyme-catalyzed hydride transfer reaction.



View larger version (8K):
[in this window]
[in a new window]
 
Figure 8. Schematic representation of the interconversion between D-xylose and D-xylulose.

 


View larger version (8K):
[in this window]
[in a new window]
 
Figure 9. Schematic representation of the transition state (TS) structure for the intramolecular hydride transfer in D-xylose molecule, and schematic representation of the inhibitor D-threonohydroxamic acid (THA).

 
The comparison of the active center in the THA structure with that in the glucose-bound complex showed important differences. These differences are related to the mobile metal (which we label as Mg2) and its ligands. In the two structures with substrate (PDB: 1XYB [PDB] and PDB: 1XYC [PDB] ), there are two positions (1 and 2) for Mg2 in Figure 10Go. The ligands of Mg2 that are shown in Figure 10Go correspond to Mg2 being in position 1, which is shown in Figure 10Go. This set of ligands is the same as that in the apoenzyme structure because of the distance (5.1 Å) between the two metals found by Lavie et al. (1994) in this structure. In the inhibitor-bound structure, Mg2 and its ligands are found to have moved toward Mg1, with a shorter Mg1–Mg2 distance of 4.1 Å (Fig. 11Go). In addition, the distance between OH/H2O1700 (Figs. 10Go, 11Go) and Mg2 is somewhat shorter in the apoenzyme structure (1.9 Å) than in the THA structure (2.4 Å). Petsko and coworkers (Lavie et al. 1994; Allen et al. 1995) modeled this ligand of Mg2 as a hydroxide ion in the former case (when Mg2 is at position 1), but as a water molecule in the later (which corresponds to the situation with Mg2 at position 2). Allen et al. (1995) concluded that the metal movement occurs after substrate binding and prior to isomerization (hydride transfer from C2 to C1) as a consequence of the proton transfer from O2 of glucose to the hydroxide ion ligated to Mg2 (OH1700 in Fig. 10Go).



View larger version (25K):
[in this window]
[in a new window]
 
Figure 10. Partial view of the active site of the X-ray structure with D-glucose bound to xylose isomerase (PDB: 1XYB [PDB] ; Lavie et al. 1994).

 


View larger version (26K):
[in this window]
[in a new window]
 
Figure 11. Partial view of the active center of the X-ray structure with the inhibitor THA bound to xylose isomerase (PDB: 2GYI [PDB] ; Allen et al. 1995).

 
Figure 11Go shows that there are other differences in the active center of XyI with THA bounded: Asp254 and Asp 256, which form ligands to Mg2 in the XyI–glucose structure (Fig. 10Go), are too distant from Mg2 for metal-carboxylate coordination in the XyI–THA complex, and Asp254 is turned away relative to its position in the XyI–glucose complex structure, forming a new hydrogen bond to Glu185 (Fig. 11Go). No significant conformational change occurs in the side chain of Asp256 when the interaction with Mg2 is lost. These two carboxylates form three ligands to Mg2, and only two are replaced by THA, which, in contrast to glucose in the XyI–glucose complex, is directly ligated to Mg2 by the O2 and O1 atoms. To maintain the octahedral coordination of Mg2, a second water molecule forms a ligand to this metal (H2O1701 in Fig. 11Go).

On the basis of all the structural data provided by the four X-ray structures, Petsko and coworkers (Lavie et al. 1994; Allen et al. 1995) proposed the mechanism represented in Figure 12Go for the proton and hydride transfer steps that follow after the ring opening of the substrate. In this mechanism, the Mg2 ligand OH1700 is the base that abstracts the C2 hydroxyl proton. Concomitant with this proton transfer or after it, Mg2 and some of its ligands move toward Mg1 due to increased attraction from the O2-alkoxide, arriving at the conformation represented by structure II in Figure 12Go. The migration of the Mg2 accompanying the proton abstraction is also associated with major changes in the ligand–metal interactions. In particular, Asp254 is substituted by a water molecule and the O2-alkoxide ion of xylose, and Asp254 is replaced byAsp256. The conformation represented by II is the proposed reactive conformation for the hydride transfer step (Allen et al. 1995). In contrast, Collyer et al. (1990) and Whitlow et al. (1991) had proposed a somewhat different mechanism. In their proposal, a water molecule ligated to the mobile metal becomes a hydroxide ion after transferring a proton to Asp256, which then becomes the base responsible for the proton transfer step. In agreement with Petsko’s mechanism (Lavie et al. 1994; Allen et al. 1995), only after the proton transfer step does the distance between the metals decrease, and the substrate forms two ligands to Mg2 (or Mn2 in the proposal of Whitlow et al. 1991), giving rise to the reactive conformation for the hydride transfer step (structure III in Fig. 12Go). However, in the Whitlow mechanism (Collyer et al. 1990; Whitlow et al. 1991) only the neutral Asp256 loses ligation to Mg2, which is replaced by the carbonyl group of the substrate, whereas Asp254 maintains one of its ligands to Mg2.



View larger version (27K):
[in this window]
[in a new window]
 
Figure 12. Schematic representation of the mechanisms proposed by Petsko and coworkers (I->II->IV; Lavie et al. 1994; Allen et al. 1995) and Whitlow et al. (1991; I->III->V) for the proton and hydride transfer steps.

 
The aim of our study was to model the kinetic isotope effects for the hydride transfer reaction in order to elucidate the catalytic mechanism. However, in the course of that study, we noticed major differences in the computed free energy reaction profile when two different starting structures were used in the simulation. We illustrate these observations below.

Having examined the X-ray structural information explained above, we chose the most recent X-ray structure that contains a transition state analog (XyI–THA complex, PDB: 2GYI [PDB] ) in the active site to build the Michaelis model. In fact, this is the only crystal structure in which the residues in the active site form coordination spheres to the Mg2 ion in the proposed reactive conformation for the hydride transfer reaction.

The XyI–THA structure contains the Cartesian coordinates for the enzyme atoms of the dimer in the crystallographic asymmetric unit. Each monomer has one THA molecule and two Mg2+ ions in the active center (Allen et al. 1995). We generated the Cartesian coordinates of the atoms of the second dimer because the tetramer is the active form of XyI. The structure of the natural substrate, D-xylose, was modeled in the four active centers by superimposing the common atoms between this molecule and THA. The O2 atom of D-xylose was modeled unprotonated. The short distance between the OD1 atom of Asp254 and the OE1 atom of Glu185 in the structure of the XyI–THA complex indicates a hydrogen bond interaction between them. Van Tilbeurgh et al. (1992) have proposed a mechanism for the O2 to O1 proton shuttle, in which the proton on O2 of D-xylose is transferred to Asp254 via the water ligand to Mg2. On the basis of these data, we decided that Asp254 was protonated in the active site. One of the active sites of the tetrameric enzyme was used to model the hydride transfer reaction, which was solvated with a 24 Å sphere of water molecules with the center coincide with the geometric center of atoms O2-C2-C1-O1 of the substrate. Water molecules that are less than 2.5 Å from any protein atom or crystallographic water were removed. The final system contained 25213 atoms. From this point on, the name 2GYI [PDB] will be used for this initial structure of the D-xylose-enzyme complex and for the structures obtained from MD simulations.

To model the Whitlow mechanism (Whitlow et al. 1991), we used the glucose–complex structure (PDB: 1XYB [PDB] ) as the starting coordinates to construct the reactive configuration for the hydride transfer reaction (Fig. 12Go, III). We first carried out PMF calculations with respect to the proton transfer reaction and its accompanying Mg–Mg migration (I -> III, Fig. 12Go). Then, the neutral Asp256 ligand of Mg2 was replaced by the carbonyl O1 atom of the substrate, and one of the bidentate oxygen ligands of Asp254 was displaced by the O2-alkoxide ion as a result of the proton transfer and Mg–Mg rearrangement. Note that these Mg–ligand exchanges involved no net loss or gain of charges, whereas a neutral water moleculate was proposed to replace the Asp254 anionic ligand (I->II, Fig. 12Go) in the mechanism of Allen et al. (1995).

In the XyI–glucose structure, the interaction between Asp254 and Glu185 is not present, and we rationalized that Asp256 was protonated, following the mechanism proposed by Whitlow et al. (1991). In the following discussion, this initial configuration and the structures obtained by running MD simulations started from it will be called 1XYB [PDB] .

The two models of the D-xylose-enzyme complex described above were heated and equilibrated by running stochastic boundary MD at 298 K (Garcia-Viloca et al. 2003), which provided the Michaelis complex structures used to start the calculations of the PMF by means of the umbrella sampling technique. More details of the model used have been explained in a recent article that contains the final results of our dynamical study (Garcia-Viloca et al. 2003). Here, we have the objective of elucidating structural issues by comparing the results obtained from the two different X-ray structures by using the same computational techniques and potential energy function applied to different initial enzyme-substrate configurations.

Next we turn attention to a comparison of the calculated PMFs and the interaction distances along the hydride transfer reaction. Figure 13Go compares the PMFs obtained from the simulation based on the XyI–THA structure (2GYI [PDB] , solid line) and from the simulation based on the XyI–glucose structure (1XYB [PDB] , dotted line). The reaction coordinate, z, was defined as the difference between C2–H and C1–H distances (Fig. 8Go). Figure 13Go indicates that the active site of the 2GYI [PDB] starting configuration provided weaker stabilization of the transition state and product complexes by 5 kcal/mole and 12 kcal/mole, respectively, relative to that in the second simulation.



View larger version (12K):
[in this window]
[in a new window]
 
Figure 13. Classical potentials of mean force obtained from the simulation based on the 2GYI [PDB] structure (solid line) and from the simulation based on the 1XYB [PDB] structure (dotted line). For details of these starting structures, see "XyI: The use of an inhibitor–enzyme complex proposed to be a transition state analog." By definition, each PMF is zero at the reactant state.

 
To investigate the origin of the different results obtained, we have analyzed the interactions of the residues in the active site along the hydride transfer reaction for both simulations. Table 1Go contains average distances calculated at the reactant, transition state, and product for both systems.


View this table:
[in this window]
[in a new window]
 
Table 1. Average interatomic distances (Å) for selected residues in the active site of xylose isomerase obtained with the same QM/MM model but using two different X-ray structures
 
The last three rows in Table 1Go indicate that the interactions between Lys182 and the carboxylic groups of Glu185 and Asp254 are maintained along the hydride transfer reaction for the 2GYI [PDB] structures; the hydrogen bond between Asp254 and Glu185 is also retained. The longer distances between Asp254 and both Lys182 and Glu185 in the 1XYB [PDB] structures suggest that these interactions are weaker in the 1XYB [PDB] structures than in the 2GYB structures, and that this difference is a consequence of the different conformation of Asp254 and Glu185 in the initial X-ray structure (Figs. 10Go, 11Go). On the other hand, the distance between Lys182 and the O1 atom of the substrate is shorter for 1XYB [PDB] than that in 2GYI [PDB] , and Lys182 has stronger interactions with the substrate at the transition state with even shorter distances to O1, which is further enhanced by the anionic charge developed at the O1 atom accompanying the hydride transfer reaction. We attribute this difference to the presence of competitive interactions with the N{xi} atom of Lys182 (by Asp254 and Glu185) in the 2GYI [PDB] structures, and it is one of the reasons for the destabilization of the product and the transition state in the simulation initiated from 2GYI [PDB] . The interaction with Lys182 has been proposed to be important for catalysis on the basis of mutational studies (Lambier et al. 1992), but only for the 1XYB [PDB] structures is the evolution (along the reaction coordinate) of the hydrogen bond distance between the O1 atom and Lys182 consistent with this proposal. The rest of the distances reported in Table 1Go are related to interactions of Mg2 with atoms of the substrate or with enzymatic residues.

As stated above, both simulations were started from the proposed reactive conformation for the hydride transfer step (Collyer et al. 1990; Whitlow et al. 1991; Lavie et al. 1994; Allen et al. 1995; Garcia-Viloca et al. 2003), in which Mg2 has approached Mg1 after proton transfer from 2-hydroxyl group of the substrate to a hydroxide ion coordinated to Mg2. Accordingly, a similar Mg1–Mg2 average distance was obtained for the two simulations at the reactant state. However, the increase of this distance in going from the reactant to the product state is larger for the 1XYB [PDB] structures, and only in this case does it arrive to a value that corresponds to position 1 for Mg1. Thus, only the simulation based on the XyI–glucose structure (PDB 1XYB [PDB] ) is able to reproduce the full range of the breathing motion of the metal ions in the active site of XyI. The implications of this motion, which confirm the essential features of the mechanism postulated in whole or in part by Collyer et al. (1990) and Whitlow et al. (1991) and by Ringe, Petsko, and coworkers (Lavie et al. 1994; Allen et al. 1995), have been discussed in our previous paper (Garcia-Viloca et al. 2003).

A possible reason for the different behavior of Mg2 in the two structures may be inferred from the analysis of the interactions of Mg2 with its ligands. For the reactant, the distances between Mg2 and its ligands are very similar in the two sets of structures. However, an anionic ligand, Asp254, has been replaced by a neutral water molecule in the 2GYI [PDB] structures, which has a weaker interaction with the metal. This seems to have an effect on the distances between the metal and the O2 and O1 substrate atoms, which are shorter (1.97 Å and 1.99 Å, respectively) in the 2GYI [PDB] structures than in the 1XYB [PDB] structures (2.01 Å and 2.08 Å, respectively); this indicates a stronger interaction with the metal in the first case. The same trend is seen at the transition state. At the product state of the second simulation (1XYB [PDB] structures) Mg2 has lost its interaction with O2, which has been replaced by the interaction with a water molecule. However, the distance between the metal and O2 atom of D-xylose in the product structures obtained from the first simulation (2GYI [PDB] ) indicates that the interaction is still present, retaining Mg2 in a position closer to Mg1. The different coordination spheres of Mg2 in the two simulations are related to the different conformation of Asp254 in the active center of the initial X-ray structures and seem to be the main reason for the different results obtained.

In a previous article (Garcia-Viloca et al. 2003), we have presented the results of a model based on the 1XYB [PDB] structure. As mentioned in the Materials and Methods section, the energetic results obtained in that study are not identical to the ones obtained here for the model based on the same X-ray structure (PDB 1XYB [PDB] ), but the structural results obtained are comparable. These results suggest that the metal movement along the hydride transfer coordinate is reproduced by the simulations if Asp254 maintains one ligand to Mg2. In addition, the higher barrier obtained with the simulation based on the inhibitor structure (PDB 2GYI [PDB] ) does not support the loss of the two interactions between Mg2 and Asp254 after the proton transfer step prior to the hydride transfer step, which has been proposed by Petsko and coworkers (Lavie et al. 1994; Allen et al. 1995). Contrarily to the structural data found by these investigators in the structure of a transition state analog, in the two structures resolved by Collyer et al. (1990), which were also proposed to be analogs of the transition state, the OD2 atom of Asp254 is interacting with Mg2 (OD2–Mg2 distance is 2.4 Å and 2.7 Å).

Concluding remarks
In this article we have presented two case studies that show that small differences in the network of interactions around the active site can have profound influences on enzymatic reaction rates. In the first example, the study of the first step of the {beta}-oxidation cycle catalyzed by ACAD, two different crystal structures (obtained from different members of this class of enzymes) were used as starting points for simulations of the coupled proton transfer and hydride transfer. For both charge transfer steps, pronounced differences were found between the PMF calculated by using the two crystal structures. Specifically, for the proton transfer the free energy barrier differed by 13 kcal/mole, and for the hydride transfer the free energy barrier differed by 17 kcal/mole. The chief difference between the two structures is attributed to an interaction between the catalytic basic residue (Glu367 for BCAD and Glu376 for MCAD) and a nearby arginine (Arg247 for BCAD and Arg256 for MCAD). For one simulation, this interaction causes the species in the active center to be in a ion pair conformation that is not suitable for the proton transfer. Moreover, the substrate moves away from the FAD cofactor as a result of the proton abstraction, which also affects the simulation of the hydride transfer.

In the second example, the study of the hydride transfer reaction catalyzed by XyI, two Michaelis complex models were built by using two different X-ray structures of the enzyme from S. olivochromogenes. These two X-ray structures were resolved by the same investigators, under the same experimental conditions, but with a different ligand in the active center. Essentially, they only differ in the orientation of two residues in the active site. However, the results obtained by using the same methodology to generate configurations along the hydride transfer reaction path indicate that the relative energies obtained (from one or the other simulation) for the ensembles of reactant, transition state, and product structures are quite different. As a consequence, the two free energies of activation differ by 5 kcal/mole. The two simulations show a different trend in the changes of the interactions of one of the two Mg2+ cofactors with the other metal, with the substrate, and with the enzymatic residues during the hydride transfer. Our results indicate that the movement of this metallic cofactor during the reaction is very sensitive to the subtle differences in its coordination sphere in the two initial structures. This movement, which has been inferred from X-ray data, is found to be essential to lower the free energy of activation, and it is only reproduced in one of the two simulations.

These case studies illustrate the fundamental sensitivity of catalytic efficiency to even small differences in protein conformation near the active site, and they indicate that X-ray structures, because they are usually obtained with an empty active site or an inhibitor, may sometimes be unsuitable models for enzymatic simulations. One can take an even broader view and relate the present test cases to two long-standing and widely recognized questions: (1) To what extent does the structure in the crystal conform to the structure of the functional protein in a cell, and (2) to what extent can a MD simulation make up for a starting structure that happens to be in a nonproductive conformational local minimum? Although in principle a correct calculation of the PMF by umbrella sampling will be independent of the starting point, in practice, on practical time scales, the simulation will not explore regions separated by high barriers from the starting geometry unless those are explicitly removed by the umbrella potential. Furthermore, state-of-the art simulation techniques for enzyme reactions recognize that similar enzyme configurations can lead to very different reaction properties and that a quantitative rate calculation should include averaging over an ensemble of protein/substrate conformations (Alhambra et al. 2000; Gao and Truhlar 2002; Garcia-Viloca et al. 2002 Garcia-Viloca et al. 2003; Poulsen et al. 2003; Tresadern et al. 2003). Nevertheless, a critical time-scale issue remains. Functioning enzymes with reactive time scales of milliseconds explore all conformational states available through transitions that occur on the millisecond, microsecond, and faster time scales. But MD simulations are often carried out on time scales of a nanosecond or less; thus if the crystal structure used as a starting point for the simulation does not correspond to a typical productive structure of the enzyme, one may draw incorrect conclusions about the mechanism or underestimate the catalytic power of the enzyme.

Although the present article emphasized differences in X-ray structures, one would expect similar issues to arise if one starts out with structures obtained by molecular docking computations. Furthermore, when a mutant structure with substrate bound is used as the model for a Michaelis complex of the wild type by mutating the residues back, the potential changes in conformation caused by the substrate may be different in the wild type and the mutant. In fact, one might expect that a wide variety of starting structures might be available by combining available experimental data with a variety of computational protocols. As molecular modeling of protein function relies more and more heavily on computation, it is very important to be aware of the uncertainties in simulations of enzyme reactions that arise from the choice of starting structure. The many successes of MD simulations that have been reported along with the tendency (we imagine) to publish only one’s successful efforts have lessened the attention paid to this problem, but we hope that the two case studies presented here will be useful concrete examples of the seriousness of the problem.


    Footnotes
 
1 Beinert 1963; Gopalan et al. 1984; Ikeda et al. 1985; Pohl et al. 1986; Finocchiaro et al. 1987; Powell and Thorpe et al. 1988; Schopfer et al. 1988; Bross et al. 1990; Kim et al. 1993; Ghisla et al. 1994; Shin et al. 1994; Djordjevic et al. 1995; Trivel et al. 1995; Dakoji et al. 1996; Lee et al. 1996; Nandy et al. 1996; Palfrey and Massey 1998; Rudik et al. 1998; Vock et al. 1998; Engst et al. 1999; Tamaoki et al. 1999; Pellett et al. 2000; Peterson et al. 2001; Bach et al. 2002; Gopalan and Srivastava 2002; Lamm et al. 2002; Poulsen et al. 2003; Ghisla and Thorpe 2004. Back

2 Carrel et al. 1984; Farber et al. 1989; Collyer et al. 1990; Lee et al. 1990; Whitlow et al. 1991; Jenkins et al. 1992; Lambier et al. 1992; Rangarajan and Hartley 1992; van Tilbeurgh et al. 1992; Zheng et al. 1993; Allen et al. 1994a, b, 1995; Lavie et al. 1994; van Bastelaere et al. 1995; Bhosale et al. 1996; Nicoll et al. 2001; Garcia-Viloca et al. 2002, 2003. Back


    Acknowledgments
 
We are very grateful to Sandro Ghisla for sending his comments and those of J.J. Kim that helped us to improve an earlier version of this manuscript. This work was supported in part by a University of Minnesota Supercomputing Institute Research Scholarship to T.D.P. and by the NSF through a grant to D.G.T. T.D.P. also thanks Statens Naturvidenskabelige Forskningsråd for support.

The publication costs of this article were defrayed in part by payment of page charges. This article must therefore be hereby marked "advertisement" in accordance with 18 USC section 1734 solely to indicate this fact.


    References
 TOP
 Abstract
 Introduction
 Materials and methods
 Results and Discussion
 References
 
Alhambra, C., Gao, J., Corchado, J.C., Villà, J., and Truhlar, D.G. 1999. Quantum mechanical dynamical effects in an enzyme-catalyzed proton-transfer reaction. J. Am. Chem. Soc. 121: 2253–2258.[CrossRef]

Alhambra, C., Corchado, J.C., Sanchez, M.L., Gao, J., and Truhlar, D.G. 2000. Quantum dynamics of hydride transfer in enzyme catalysis. J. Am. Chem. Soc. 122: 8197–8203.[CrossRef]

Allen, K.N., Lavie, A., Farber, G.K., Glasfeld, A., Petsko, G.A., and Ringe, D. 1994a. Isotopic exchange plus substrate and inhibition kinetics of D-xylose isomerase do not support a proton-transfer mechanism. Biochemistry 33: 1481–1487.