Abstract
The bacterial enzyme organophosphorous hydrolase (OPH) exhibits both catalytic and substrate promiscuity. It hydrolyzes bonds in a variety of phosphotriester (P-O), phosphonothioate (P-S), phosphofluoridate (P-F) and phosphonocyanate (F-CN) compounds. However, its catalytic efficiency varies markedly for different substrates, limiting the broad-range application of OPH as catalyst in the bioremediation of pesticides and chemical war agents. In the present study, pKa calculations and multiple explicit-solvent molecular dynamics (MD) simulations were performed to characterize and contrast the structural dynamics of OPH bound to two substrates hydrolyzed with very distinct catalytic efficiencies: the nerve agent soman (O-pinacolyl-methyl-phosphonofluoridate) and the pesticide paraoxon (diethyl p-nitrophenyl phosphate). pKa calculations for the substrate-bound and unbound enzyme showed a significant pKa shift from standard values (ΔpKa=±3 units) for residues 254His and 275Arg. MD simulations of the doubly protonated 254His revealed a dynamic hydrogen bond network connecting the catalytic residue 301Asp via 254His to 232Asp, 233Asp, 275Arg and 235Asp, and is consistent with a previously postulated proton relay mechanism to ferry protons away from the active site with substrates that do not require activation of the leaving group. Hydrogen bonds between 301Asp and 254His were persistent in the OPH-paraoxon complex but not in the OPH-soman one, suggesting a potential role for such interaction in the more efficient hydrolysis of paraoxon over soman by OPH. These results are in line with previous mutational studies of residue 254His, which led to an increase of the catalytic efficiency of OPH over soman yet decreased its efficiency for paraoxon. In addition, comparative analysis of the molecular trajectories for OPH bound to soman and paraoxon suggests that binding of the latter facilitates the conformational transition of OPH from the open to the closed substate promoting a tighter binding of paraoxon.
Keywords: phosphotriesterase, pKa, protonation states, soman, paraoxon, atomistic molecular dynamics, reaction mechanism, proton relay pathway
Introduction
Organophosphorous (OP) compounds are extremely toxic substances used exclusively as insecticides and chemical warfare agents (e.g. sarin, soman and XV).1 The acute toxicity of OP results primarily from the inactivation of the enzyme acetylcholine esterase through the irreversible phosphorylation of an active site serine, which leads to interruption of acetylcholine break down, in nervous synapses and red blood cell membranes.2–4 Other known direct targets of OP intoxication include the muscarinic and nicotinic acetylcholine receptors.5,6 Phosphotriesterases are a group of enzymes that can degrade OP compounds, and have a great potential for use in bio-remediation and detection technologies through their confinement within nanoscale structures.7–10 The enzyme organophosphorous hydrolase (OPH; EC 3.1.8.1) from the soil bacteria Brevundimonas diminuta (previously Pseudomonas diminuta) is the best-characterized phosphotriesterase.11–16 OPH hydrolyzes bonds in a variety of phosphotriester (P-O), phosphonothioate (P-S), phosphofluoridate (P-F) and phosphonocyanate (F-CN) compounds with high catalytic efficiency and broad substrate specificity.12,13,17–21 Typical turnover rates for the best OPH substrate, paraoxon, exceed 104 s−1, while the corresponding values for kcat/KM approach the diffusion limit of 107 M−1s−1.17,21,22 In contrast, the chemical hydrolysis of paraoxon by KOH occurs with a second-order rate constant of only 10−2 M−1s−1.22 Another major feature of OPH is its stereo-selectivity for the hydrolysis of chiral organophosphate triesters, since major chemical warfare agents are racemic mixtures with substantial differences in toxicity of the individual enantiomers.
Crystallographic structures have shown that OPH is a homodimeric (α/β)8-barrel protein containing one active site per monomer.11 Each active site is composed of two divalent metal ions bridged by either a hydroxide or µ-hydroxo ion and by a carbomoylated lysine residue (Figure 1). Zn+2 is the apparent native metal, although substantial activity is observed after substitution of the binuclear metal center by Co2+, Cd2+, Mn2+, or Ni2+.11 Two metal ions per active site are required for full catalytic activity, and kinetic constants, kcat and kcat/KM, are dependent upon the identity of the specific metal cations within the active site. The hydrolysis of organophosphate triesters by OPH has been shown to occur through an inversion of stereochemical configuration at the phosphorus center in a SN2 mechanism without formation of any covalent substrate-enzyme intermediate.23 A reaction mechanism has been postulated where the organophosphate substrate binds to the active site by displacement of a water molecule coordinating the β-metal cation24. Subsequently, the metal oxygen interaction polarizes the phosphoryl oxygen bond and makes the phosphorus center more electrophilic for the nucleophilic attack of the metal-bridging group (either a hydroxide or µ-hydroxo ion).25 The single proton from the nucleophilic hydroxide is then transferred to 301Asp and shuttled away with the assistance of 254His and 233Asp. This last step has been suggested to enhance significantly the reactivity of the metal-bridging nucleophile since mutation of either 254His or 233Asp resulted in a decrease in the kinetic constants for paraoxon.24
Figure 1.
Representation of the active site region of organophosphorous hydrolase (OPH).
Although a SN2 mechanism has been recognized for the hydrolysis of organophosphate triesters by OPH, several modifications to the postulated mechanism have been proposed from recent experimental and computational studies.26–28 An important point of debate concerns the identity of the nucleophile. Jackson and coworkers27 have argued that the metal bridging µ-hydroxo does not act as the initiating nucleophile, but instead acts as a general base for a nucleophilic water molecule coordinated to the α-metal cation. Computational studies using QM/MM and high-level QM calculations indicate that 254His acts as a base to activate and deprotonate the hydroxide nucleophile.26,28 Another aspect that has just began to be addressed is the role of substrate binding in the turnover rates of OPH which is limited by either conformational change or diffusion.17 Recently, Jackson and co-workers have shown that OPH mutants exhibit “closed” and “open” conformational substates which are either optimally preorganized for paraoxon hydrolysis but precludes its access to/from the active site or allows easy substate access to the active site but is poorly organized for hydrolysis.29 The transition between these unique conformational substates is governed by conformational changes of a specific region (loop 7) of the protein, whose propensity to adopt different conformations is directly associated with the different catalytic efficiencies exhibited by the respective substates.
In the present study, we have performed a systematic investigation of the conformational dynamics of the free and substrate-bound OPH taking into consideration the protonation states of residues predicted to have large pKa shifts, namely 254His and 275Arg. The chosen substrates, the pesticide paraoxon (diethyl p-nitrophenyl phosphate) and the nerve agent soman (O-pinacolyl-methyl-phosphonofluoridate) which are hydrolyzed by the wild-type OPH at rather distinct catalytic efficiency rates (107 M−1s−1 and 105 M−1s−1, respectively).20,30 By exploring possible combinations of the most probable protonation states of OPH residues, it has been found that in addition to residues 254His and 301Asp, residues 232Asp, 235Asp and 275Arg take part in a hydrogen-bond network that may serve as the proton-shuffling pathway proposed by Aubert and co-workers.24 The persistence of these interactions is modulated by the presence and identity of the substrate. Likewise, the transition between the open and closed OPH substates is observed exclusively in the presence of the substrate paraoxon.
Computational Methodology
High-resolution crystallographic structures of OPH from Brevundimonas diminuta were used as initial coordinates in the MD simulations (PDB ID 1EZ2 and 1HZY).11,31 The cocrystallized substrate analogue diisopropylmethyl phosphonate was replaced by the paraoxon or the RPRC-soman enantiomer. The RPRC enantiomer of soman is the configuration most efficiently catalyzed by the wild-type OPH.32 Missing atoms in the crystallographic structures were verified and added if necessary with the WHAT IF web server.33 Atom additions were necessary only to the terminal residues. Protonation states were assigned accordingly to pKa calculations with the program propKa version 2.0.34 All simulations were carried out using the GROMOS force field force parameter set 53A6.35,36 A description of the simulated systems is presented in Table 1. The active site of OPH contains two zinc ions bridged by a hydroxide anion and a carbamylated lysine. The zinc and hydroxide ions were treated as a non-bonded model. The entire subsystem presents a formal charge of +3e. Charges for the hydroxide ion and carbamylated lysine were assigned via a restrained hyperbolic fit of the electrostatic potential (RESP)37 on the nuclei positions of each atom after geometry optimizations at the HF-6-31G* level using the NWCHEM software38 as described in ref.39 This same approach was used to calculate atomic charges for substrates soman and paraoxon (Figure A in supplementary material).
Table 1.
Molecular Systems. Simulations vary for the protonation states of residues 254His and 275Arg, metal-bridging atom, presence or absence of substrates, type of substrates, and simulation time.
| Simulations | Protonation State* |
Nucleophile | Substrate | Time [ns] | |
|---|---|---|---|---|---|
| 257His | 275Arg | ||||
| HdRp | Deprotonated | Protonated | OH− | None | 10 |
| HdRd | Deprotonated | Deprotonated | OH− | None | 10 |
| HpRp | Protonated | Protonated | OH− | None | 50 |
| HpRd | Protonated | Deprotonated | OH− | None | 50 |
| HpRp-Par | Protonated | Protonated | OH− | Paraoxon | 50 |
| HpRd-Par | Protonated | Deprotonated | OH− | Paraoxon | 50 |
| HpRp-Som | Protonated | Protonated | OH− | Soman | 50 |
| HpRd-Som | Protonated | Deprotonated | OH− | Soman | 50 |
Protonation states are as follow: Histidine is protonated if two protons are bonded to atoms Nδ1 and Nε2, respectively (charge +1 e) and deprotonated if one proton is bonded either to atom Nδ1 or Nε2 (charge 0 e). Arginine is protonated if two protons are bonded to atoms NH1 and NH2, respectively (charge +1) and deprotonated if one proton is bonded either at atom NH1 or NH2.
The systems were placed in a rectangular box, treated for periodic boundary conditions and solvated with explicit SPC model water molecules.40 The systems were neutralized with Na+ counter ions where necessary. Simulations were carried out in the NPT ensemble and a time step of 1fs (equlibration) or 2 fs (production) was used to integrate the equations of motion based on the Leap-Frog algorithm.41 The temperature of the solute and solvent were separately coupled to the velocity rescale thermostat at 298.15 K with a relaxation time of 0.1 ps. The pressure was maintained as 1 atm by isotropic coordinate scaling with a relaxation time of 1 ps. The bond lengths and angles were constrained by using the P-LINCS algorithm.42 and the geometry of the water molecules was constrained using the SETTLE algorithm.43 A twin-range cutoff of 1.0 and 1.2 nm was used for vdW interactions, and long-range electrostatic interactions were treated by the Particle Mesh Ewald method.44 The systems were initially minimized through 20.000 iterations of the steepest descent algorithm. Solvent molecules were relaxed during 500 ps at 298.15 K with positional restraints applied to the heavy atoms of the protein. The full system was equilibrated for 10 ns followed by the production phase of 50 ns. Configurations of the system were recorded as trajectory files at every 1.0 ps. The software package GROMACS v.4.04 (double precision) and implemented algorithms were used for all simulations and property analyses.45 Protein structures were visualized with the software VMD 1.86.46 Metadynamics calculations47,48 were performed with Plumed plugin49 in GROMACS v.4.5.1.45 A one-dimensional collective variable defined as the distance between the residues of OPH active site and the center of mass of each bound substrate. Simulations were carried out in explicit solvent for 5 ns with a 1 fs timestep where Gaussian 5000 hills were added. The height of the metadynamics hills was 0.35 kJ/mol and width of 0.05 nm.
Results
Protonation States of Residues 254His and 275Arg
pKa values were calculated for all ionizable residues of OPH using several high-resolution X-ray structures of the enzyme and the program propKa version 2.0 (Table 2).34 The calculations were performed for the wild-type and two mutant forms of the enzyme, namely D233A and D233N. The catalytic activities of 233Asp mutants were previously characterized for substrate paraoxon, and the residue was proposed to participate in the shuttling of protons from the active site.24 Two residues in the active site displayed pKa values significantly shifted from their standard values. The pKa of 254His was shifted from 6.5 units to values in the range of 9.6–10.0 units whereas 275Arg exhibits pKa values shifted from 12.5 units to 9.2–9.4 units. OPH displays a maximal activity in the pH range of 9–9.5 units for the hydrolysis of paraoxon50–52, which corresponds approximately to the estimated pKa of the two residues. It can be inferred from the crystallographic data that both residues are involved in interactions to catalytic residues: 254His makes hydrogen bonds to 301Asp and 233Asp whereas 275Arg is spatially close to 233Asp, near the end of a small cleft leading outwards from the active site. Furthermore, random directed evolution studies have supported the importance of residue 254 in the enhancement of OPH hydrolysis rates of several toxic compounds, including V-agents and the G-agents.53–55
Table 2.
Residues of the active site region with large pKa shifts.
| PDB id | pKa (units) | Resolution [Å] | |
|---|---|---|---|
| 254His | 275Arg | ||
| OPHwt (2OB3) | 9.6 | 9.2 | 1.04 |
| OPHwt (1EZ2) | 10.0 | 9.4 | 1.90 |
| OPHwt (1HZY) | 9.7 | 9.2 | 1.30 |
| OPHD233A (1HZY) | 3.4 | 9.4 | 1.30 |
| OPHD233N (1HZY) | −0.7 | 9.2 | 1.30 |
| pKa Model Compound* | 6.5 | 12.5 | N/A |
from reference (Li, Robertson and Jensen, 2005)
The effect of the D233A and D233N mutations on the pKa of surrounding residues is restricted to 254His (Table 2). Both mutations lead to a large decrease of the pKa of 254His but have no effect on the pKa of 275Arg. Residue 301Asp exhibits invariably negative pKa values which indicate that this residue is deprotonated even at very low pH (data not shown). The insensitivity of the protonation state of 301Asp to nearby mutations can be explained by its proximity to positively charged Zn2+ cations, making its pKa less responsive to the suppression of comparatively smaller charges, e.g. mutations D233A and D233N. Because the accuracy of FDPB methods is highly correlated to the quality of the structural data,56,57 it should be noticed that the X-ray structures of OPH used for the pKa calculations were solved at very high resolution, near 1.0 Å11 and exhibited very low B-factors, particularly the active site region (on average below 20 Å2). It was previously shown via MD simulations39, and later corroborated via crystallographic studies of the highly homologous (> 90% similarity) OPH from Agrobacterium radiobacter29, that OPH conformational changes are mostly limited the side chains of loop residues in the entrance of the active site. In the active site, most residues exhibit a rather rigid geometry due to the strong electrostatic interactions to the divalent cations. These experimental and computational data support the assumption that the X-ray structure of OPH is representative of one predominant conformation, further corroborated by recent findings from Jackson and co-workers.29 On this account, it is reasonable to assume that the protonation states assigned to such conformation are the predominant ones at a given pH. These protonation states were treated via independent simulations of the respective states (see Table 1).
Conformational Dynamics of the OPH upon substrate binding
The structural dynamics of the enzyme active site was investigated as function of distinct ionization states of residues 254His and 275Arg, and the presence of either a very efficient substrate (paraoxon) or a very inefficient one (soman).20,30 The simulated systems are presented in Table 1. Atom-positional root-mean-square deviations were calculated for backbone atoms in the MD trajectories with respect to their positions in the X-ray structure (1HYZ) (Figure 2). Average RMS deviations for the simulated systems are between 0.14 and 0.19 nm, reaching a first plateau around 10 ns. In the neutral state, 254His moves away from the metal center disrupting the hydrogen bond interactions to 301Asp and 233Asp observed in the crystallographic structure. This event occurs within 1 ns of simulation, in the presence or absence of the substrate, and after 1-ns long equilibration using distance positional restraints between these residues (Figure 2). Therefore, only the protonated state of 254His generated a conformational ensemble consistent with the X-ray structure, and the simulation HdRp was discontinued after 10 ns (Figure 2). In the absence of the substrates, there is a small but steady increase of the RMS deviations for system HpRp compared to system HpRd. This increase (up to 0.7 Å) of the backbone atom-positional RMS deviation for HpRp over HpRd reflects solely the presence/absence of one single proton. The effect of the protonation of 275Arg on the backbone RMS deviations is less evident in the presence of the substrates, particularly if compared the same substrate, indicating a decrease of conformational flexibility upon substrate binding to OPH. The subsequent analysis described here will revolve around the protonated states of 254His and 275Arg, either in the absence (HpRp) or presence of substrates paraoxon (HpRd-Par) and soman (HpRd-Som).
Figure 2.
Root-mean-square deviation (RMSD) of backbone atoms of OPH from the X-ray structure (1HYZ) as function of the protonation states of residues 254His and 275Arg for the substrate-bound and unbound enzyme. (A) Protonated (black) and deprotonated (gray) 254His in the unbound OPH. Protonated (black) and deprotonated (gray) 275Arg in the unbound OPH (B), in paraoxon-bound OPH (C) and in soman-bound OPH (D). 275Arg is deprotonated in A whereas 254His is protonated in B–D. Rotational and translational fitting of pairs of structures was applied using all backbone atoms. Values are averaged for the two monomers.
It has been previously shown that OPH conformational changes are mostly limited to loop residues in the entrance of the active site.27,29,39,58 Atom-positional root-mean-square fluctuations (RMSF) were calculated for backbone atoms in the HpRd, HpRd-Par and HpRd-Som trajectories and compared for the region whose dynamics differs among these systems (Figure 3). Two regions comprising residues 234–239 and 258–275 exhibit rather distinct atom-positional fluctuation amplitudes for HpRd-Par with respect to the HpRd and HpRd-Som simulations. Residues 258–275 has been designated as loop 7 by Jackson and co-workers 29, and residues 234–239, which correspond to a preceding helix/loop motif will therefore be designated as loop 6 (Figure 4). The large atomic fluctuations observed in the paraoxon-bound ensemble are due to the displacement of these residues towards the active site, nearly closing its cleft (Figure 4). A considerably larger displacement is associated to loop 6 in presence of paraoxon, but it is not affected by the presence of soman (Figure 3). No discernible rearrangement is observed for loop 6 either in the soman-bound or substrate-free enzyme conformations (Figures 3 and 4). It should also be noticed that the conformational rearrangement of loops 6 and 7 does not alter its secondary structure content (data not shown). These results indicate that upon paraoxon binding, OPH undergoes a structural transition involving loops 6 and 7 located at the entrance of the active site. Such transition leads to a “closed” conformational substate, which allows for tighter fitting of the paraoxon substrate into the enzyme’s active site.
Figure 3.
Atom-positional root-mean-square fluctuations (RMSF) of backbone atoms averaged per residue (aa 220 to 280) for the substrate free (HpRd) and substrate-bound OPH (HpRd-paraoxon and HpRd-soman). Values are averaged over 50-ns of simulations and the two OPH monomers.
Figure 4.
Conformational substates of soman- and paraoxon-bound OPH after 50-ns simulations. Cartoon representation of the enzyme bound to the substrates soman (a) and paraoxon (b) represented by the CPK model (carbon in cyan, oxygen in red, nitrogen in blue and hydrogen atoms in white). Regions corresponding to loop 7 and associated helix are shown in orange while loop 6 and its helix are shown in magenta. (c–d) Molecular surface representation of the same conformations of soman- and paraoxon-bound OPH respectively. The region corresponding to loop7 and its helix are colored in magenta.
Time-dependent solvent accessible surface area (SASA) has also been calculated for the ensemble of structures from the simulations of the substrate-bound enzymes (HpRd-Par and HpRd-Som) in the absence of the respective substrates (Figure 5). Only residues lining the active site cavity were used for the SASA calculations in order to estimate its dimensions in the substrate-bound and free enzymes along the simulated time. These residues are F132, R254, Y257 and L271. After a period of 50 ns, the active site of the paraoxon-bound enzyme is nearly 75 Å2 smaller than that of the soman-bound OPH, consistent with the closure of active site entry by loops 6 and 7 in presence of the fast substrate (Figure 5). The event leading to the loop displacement towards the active site takes place very rapidly, at around 30 ns. Such event is not observed upon soman binding to OPH for the timescale simulated here. The relative energy barrier for the dissociation of paraoxon and soman from the active site of the enzyme has been estimated by the means of metadynamics calculations using a one-dimensional collective variable defined as the distance between the active site residues and the substrates (Figure 6). The relative dissociation free energy profile shows that pulling paraoxon from the active site would cost an additional −69 kJ/mol (−16.5 kcal/mol) over soman. This energy cost is associated with the conformational rearrangement of loops 6 and 7 required for the binding/unbind of paraoxon onto the active site of OPH. Conversely, soman can be easily released from the active site since it binds/unbinds without any significant conformational rearrangement at the simulated timescale.
Figure 5.
Solvent accessible surface area (SASA) of the OPH active site bound to soman and paraoxon as a function of simulation time. The active site cavity is entirely circumscribed by residues F132, R254, Y257 and L271, which were used to calculate SASA. Values are averaged over the active site of the two monomers.
Figure 6.
Dissociation free energy profile for soman and paraoxon from their respective OPH conformational substates after 50-ns simulations.
Hydrogen-bond Occupancies
Analyses of hydrogen bond occupancies Q were performed for residues 254His and 275Arg in six simulations (Table 3). In these simulations 254His can make hydrogen bonds to residues 232Asp, 301Asp and 253Asp. The interaction between residues 254His and 233Asp observed in crystalline conditions appears to occur more transiently in solution. In solution conditions, 232Asp replaces 233Asp as the most persistent hydrogen-bond partner of protonated 254His. In the absence of the substrate, protonated 254His interacts with all three aspartate residues, whereas deprotonated 254His interacts predominantly to 253Asp. In presence of the substrate, hydrogen bonds between 254His and 232Asp and/or 301Asp have significantly higher occupancies than that between 254His and 253Asp (Table 3). The hydrogen bond between 254His and 301Asp has the highest occupancy upon paraoxon binding to OPH, being present during one fourth to half of the simulated time for this complex. This is in contrast to the same interaction in the complex OPH-soman, which has the lowest occupancy among all the simulated systems where 254His is protonated (Table 3). Residue 275Arg forms hydrogen bonds to residues 232Asp, 233Asp and 235Asp (Table 3), with prevalence of each one of these interactions being correlated with the protonation state of residue 275Arg. Protonated 275Arg favors interactions with the backbone carbonyl and the side-chain carboxyl groups of residue 232Asp whereas deprotonated 275Arg interacts more often with the side chain carboxyl group of residues 233Asp and 235Asp. The protonation state of 275Arg has no apparent effect on the hydrogen bond interactions made by 254His, with the exception of the interaction between 254His and 253Asp in system HpRd-Som (Table 3). Yet, the remaining interactions between 254His in this system follow the same pattern as in system HpRp-Som. It is interesting to note that in the X-ray crystal structure of the H254G/H257W/L303T mutant OPH, the substitution of 254His with a glycine yields a cavity where a third metal can bind, being coordinated by 253Asp.54 These results indicate that 253Asp can adopt various conformations without major changes in the overall conformation of the enzyme.
Table 3.
Hydrogen bond occupancies Q for unbound and substrate-bound OPH with different protonation states of 254His and 275Arg.
| Simulations | Protonation State | Occupancy Q [%] | |||||
|---|---|---|---|---|---|---|---|
| 254His | 275Arg | ||||||
| 232Asp | 301Asp | 253Asp | 232Asp | 233Asp | 235Asp | ||
| HdRd | 275Argneutral | ≤9.0 | ≤0.6 | 73.4 | 92.8 | 0.0 | ≤3.7 |
| HdRp | 275Argchg | ≤9.0 | ≤0.6 | 71.6 | 49.5 | 6.9 | 56.4 |
| HpRd | 275Argneutral | 60.1 | 17.5 | 34.8 | 94.2 | 1.2 | 11.6 |
| HpRp | 275Argchg | 88.5 | 14.5 | 16.8 | 13.1 | 20.1 | 36.3 |
| HpRd-Par | 275Argneutral | 100.0 | 26.0 | ≤0.5 | 100.0 | 0.1 | ≤6.4 |
| HpRp-Par | 275Argchg | 94.5 | 47.2 | ≤0.5 | 21.1 | 13.2 | 26.5 |
| HpRd-Som | 275Argneutral | 77.3 | ≤3.8 | 22.4 | 52.1 | 0.0 | 24.4 |
| HpRp-Som | 275Argchg | 100.0 | ≤3.8 | ≤3.3 | ≤1.6 | 29.1 | 35.5 |
Hydrogen bonds between side chain donor-acceptor atoms (Histidine: Nδ1, Nε2; Aspartic acid: Oε1, Oε2 and Arginine: Nε, Nη1, Nη2).
Wild-type OPH exhibits very distinct catalytic efficiency values for the hydrolysis of paraoxon and soman (107 M−1s−1 and 105 M−1s−1, respectively);20,30 The catalytic role of 301Asp is well established in the hydrolysis of both susbtrates. It has also been previously shown that mutations of 254His decrease the catalytic efficiency of OPH over paraoxon, with rate constants of 1–3 orders of magnitude smaller than those for the wild-type enzyme.24 Single mutations of 254His also decrease the catalytic efficiency of OPH over different enantiomers of soman, though to a smaller extent compared to paraoxon.13,20,54 It can be inferred form the present simulations that the hydrogen bond between 301Asp and 254His occurs with a higher probability upon paraoxon binding to OPH (26%–47%) compared to soman (<3.8%) and taking as reference the free enzyme (14.5%–17.5%) (Table 3). Although a direct relationship between the presence of 301Asp/254His hydrogen-bond and substrate hydrolysis can not be presently established, these findings suggest that such interaction may be of relevance to the more efficient hydrolysis of paraoxon over soman by the wild-type OPH. At the level of the Michaelis complex, this hydrogen bond helps to position 301Asp with respect to the metal-bridging hydroxide ion to bring about the reaction, and as discussed thereafter, could offer a a potential pathway for proton relay after catalysis.
Discussion
A Potential Pathway for Proton Relay in the Hydrolysis Reaction Catalyzed by OPH
The hydrolysis of organophosphate triesters by OPH follows a SN2 reaction.23 The postulated mechanism for this reaction proposes that the hydroxide ion bridging the metal ions promotes a nucleophilic attack on the phosphorus center of the substrate. The bond to the leaving group phenol is broken, and the proton from the nucleophilic hydroxide is transferred to 301Asp and from it to 254His and other residues in a proton relay mechanism. Lately, several modifications to this mechanism24 have been proposed based on recent experimental and computational studies.26–28 In one variation of this mechanism, the µ-hydroxo is proposed to act as a general base activating a water molecule terminally coordinated to the α-metal.27 The proton from the water molecule is shuttled from the active site via the µ-hydroxo bridge and the proton relay system. In another variation of the original mechanism,26 the metal-bridging hydroxide ion also initiates the nucleophilic attack on the phosphorus center of the substrate, but in contrast to the original mechanism, 254His is protonated and loses its proton to the solvent as the leaving group departs from the active site. In the next step of the proposed reaction, 254His acts as a base to activate and deprotonate the water nucleophile, though the authors point out that the role as a specific or general base may also be undertaken by another water molecule.24,26
The results presented here suggest that the protein environment causes the pKa of 254His to shift from 6.5 units to 9.6–10.0 units (Table 2). Considering that OPH displays maximal activity in the pH range of 9–9.5 units,50–52 254His is likely to be protonated upon binding of the substrate. Furthermore, the MD simulations show that only the protonated state of 254His yields a conformational ensemble consistent with the X-ray structures, which have been solved at pH 9.0.11,31 If 254His is represented in its deprotonated state, it moves away from the metal center and disrupts the hydrogen bond to 301Asp. These results are consistent with the structure of the Michaelis complex in the catalytic mechanism proposed by Wong and Gao26 using a QM/MM approach based on AM1 semiempirical potentials. Based on the good agreement between the simulated structural properties, the experimental data and the higher-level QM calculations, we have investigated a potential pathway for the proton relay mechanism proposed Raushel and coworkers.24 These authors have suggested the existence of a proton relay from 301Asp to 254His to 233Asp used to ferry protons away from the active site during reactions with substrates that do not require activation of the leaving group phenol such as paraoxon.24 The conformational dynamics of active site residues in the complex OPH-paraoxon exhibit a pattern of interactions suggestive of a potential pathway for the proposed proton relay (Figure 7).24 In the MD simulations of these systems (HpRp-par, HpRd-par), 254His (protonated) makes a persistent hydrogen-bond to 301Asp and a less stable one to 233Asp (Figure 7A). The latter interaction is replaced around 2 ns by a hydrogen-bond to 232Asp (Figure 7B) whereas 233Asp undergoes a conformational change (Figure 7C), interacting simultaneously to 232Asp and 275Arg (Figure 7D). The residue 275Arg can flip over itself, interacting either to 233Asp or to 235Asp (Figures E–F). Residues 275Arg and 235Asp are located in the solvent exposed entrance to the active site where the proton can be transferred to the bulk solvent
Figure 7.
Detail of the active site representing the interactions from Fig.4 a) active site conformation observed during the initial 1.3 ns and analogous to the X-ray structure, b) subsequently, His254 interacts simultaneously with Asp233 and Asp232, c) Asp233 makes a hydrogen bond with Arg275 whereas His254 now interacts only with Asp232, d) Arg275 forms a hydrogen-bond with Asp235, e) Arg275 flips, f) Hist254 interacts with Asp253 in the absence of the substrate.
Conformational Substates and Substrate Binding to OPH
Proteins explore a range of conformations via internal motions on a wide range of time scales. These timescales include localized motion such as bond vibrations, rotations of side chains and fluctuations within a group of few atoms on the picosecond-nanosecond timescale as well as large-scale, collective fluctuations involving sub-domains transitions on the nanosecond-millisecond time-scale and up.59–61 Recently, it has become apparent that conformational fluctuations from the concerted motions of many atoms can lead the unbound states (substates) of enzymes into conformations very similar to the bound states, molding them to form complexes with specific ligands.62–69. Such fluctuations are not random despite the inherent flexibility of the unbound state of a protein and occur preferentially in a way that prepares the protein to bind to its ligands.59,62 Hence, enzymatic efficiency (fast rates for formation of the Michaelis complex, the chemical reaction and product release) could be made possible via fluctuations between different conformational sub-states with unique configurations and catalytic properties.63,64,66,70
The hydrolysis of paraoxon by OPH takes place with turnover rates of 104 s−1 and kcat/KM values that approach the diffusion limit of 107 M−1s−1.17,21,22 These rates are limited by a physical barrier,17,71 i.e. either substrate diffusion or conformational change. Recent kinetics and structural characterization of OPH mutants have shown that the enzyme exhibits “open” and “closed” conformational substates.29 The closed substate is optimally preorganized for paraoxon hydrolysis but access to/from the active site is obstructed by structural rearrangements of loop 7. The open conformational substate allows easy substrate access to the active site but is poorly organized for hydrolysis. Further, changes to the reaction rate due to mutations mostly result from changes in the activation entropy and not in the activation energy for the transition between conformational substates. Hence, the “open” and “closed” substates of OPH co-exist in equilibrium in the resting enzyme whereby conformational transitions between them is used to tune the conformational landscape to maximize the rate of substrate and product diffusion.29 The newly proposed29 schematic for OPH catalytic cycle is
The present simulations of OPH show that indeed there is a structural transition involving loop 7 as well as loop 6 (the latter not previously observed in the crystallographic studies) which blocks the access to the active site. The event is observed for paraoxon-bound but not for free and soman-bound OPH conformational ensembles (Figure 3). Comparison of the final conformations for paraoxon- and soman-bound OPH shows a snug fit of the former substrate into the active site of the enzyme whereas the latter substrate fits rather loosely into the cleft (Figure 4c and 4d). The energy difference to pull the two substrates away from the active site indicates that paraoxon interacts more favorably with the enzyme than does soman (ca. −69 kJ/mol) (Figure 6). Therefore, paraoxon-bound OPH transitions between EopenS to EclosedS substates whereas soman-bound OPH remains in the EopenS substate for the simulated timescale. The transition between EopenS to EclosedS substates upon paraoxon-binding is fast, being complete in less than 50 ns. Based on the condition that fast conformational change in OPH allows rapid fluctuation between conformational substates preorganized for different steps in turnover,29 the slower substate transition exhibited by soman-bound OPH would be expected to decrease its catalytic efficiency towards this substrate.
Conclusion
Several long-scale molecular dynamics (MD) simulations were performed for OPH unbound and bound to two substrates hydrolyzed with very distinct catlytic efficiencies: the nerve agent soman (O-pinacolyl-methyl-phosphonofluoridate) and the pesticide paraoxon (diethyl p-nitrophenyl phosphate). Different protonation states of the residues 254His and 275Arg were also taken into account in the simulations. The choice of residues was based on their predicted large pKa shifts from standard values (~ΔpKa = ± 3 units) and on their potential role in the hydrolysis reaction catalyzed by OPH. In the X-ray structures these residues are well positioned to form hydrogen bonds to several aspartic acid residues near the divalent metals, including 233Asp and 301Asp. It has been found that i. there is a decrease of conformational flexibility of OPH upon substrate binding, ii. only the protonated state of 254His yielded a conformational ensemble consistent with the X-ray structures, iii. the calculated pKa for 254His is in the range of 9.6–10.0 units offering support to a predominantly protonated state for this residue during the enzymatic catalysis and in agreement with the results of Wong and Gao26, iv. a dynamical hydrogen-bond network involving residues 301Asp, 254His, 232Asp, 233Asp, 275Arg and 235Asp may function as a pathway to shuttle protons away from the active site as previously proposed by Raushel and coworkers, 24 and v. the transition between the open and closed OPH substates has been observed only for paraoxon-bound OPH within the 50-ns timescale, suggesting that such transition occurs at a faster rates for paraxon-bound than soman-bound OPH. Fast conformational change in OPH leads to rapid fluctuation between conformational substates preorganized for different steps in turnover.29 Therefore, it would be expected that the slower substate transition exhibited by soman-bound OPH would translate into decreased catalytic efficiency towards this substrate.
Acknowledgment
This work was supported by the Brazilian National Council for Research and Development (CNPq), FACEPE, INCT/INAMI, nBioNet, and the National Institute of General Medical Sciences (Grant no. R01GM080987). Computational resources were provided by the Environmental Molecular Sciences Laboratory at Pacific Northwest National Laboratory. Pacific Northwest National Laboratory is operated for DOE by Battelle.
References
- 1.Gunderson CH, Lehmann CR, Sidell FR, Jabbari B. Neurology. 1992;43:946. doi: 10.1212/wnl.42.5.946. [DOI] [PubMed] [Google Scholar]
- 2.Brown MA, Brix KA. Journal of Applied Toxicology. 1998;6:393. doi: 10.1002/(sici)1099-1263(199811/12)18:6<393::aid-jat528>3.0.co;2-0. [DOI] [PubMed] [Google Scholar]
- 3.Holstege CP, Kirk M, Sidell FR. Critical Care Clinics. 1997;13:923. doi: 10.1016/s0749-0704(05)70374-2. [DOI] [PubMed] [Google Scholar]
- 4.Sogrob-Sanchez MA, Vilanova-Gisbert E, Carrera-Gonzalez V. Revisiones en Neurociencia. 2004;39:739. [PubMed] [Google Scholar]
- 5.Bakry NM, el-Rashidy AH, Eldefrawi AT, Eldefrawi ME. J Biochem Toxicol. 1988;3:235. doi: 10.1002/jbt.2570030404. [DOI] [PubMed] [Google Scholar]
- 6.Mileson BE, Chambers JE, Chen WL, Dettbarn W, Ehrich M, Eldefrawi AT, Gaylor DW, Hamernik K, Hodgson E, Karczmar AG, Padilla S, Pope CN, Richardson RJ, Saunders DR, Sheets LP, Sultatos LG, Wallace KB. Toxicol Sci. 1998;41:8. doi: 10.1006/toxs.1997.2431. [DOI] [PubMed] [Google Scholar]
- 7.Gomes DE, Lins RD, Pascutti PG, Straatsma TP, Soares TA. Lecture Notes in Computer Science: Advances in Bioinformatics and Computational Biology. 2008;5167:68. [Google Scholar]
- 8.Lei C, Shin Y, Liu J, Ackerman EJ. J Am Chem Soc. 2002;124:11242. doi: 10.1021/ja026855o. [DOI] [PubMed] [Google Scholar]
- 9.Lei C, Soares TA, Shin Y, Liu J, EJ EJA. Nanotechnology. 2008;19:125102. doi: 10.1088/0957-4484/19/12/125102. [DOI] [PubMed] [Google Scholar]
- 10.Lei CH, Valenta MM, Saripalli KP, Ackerman EJ. J Environ Qual. 2007;36:233. doi: 10.2134/jeq2006.0216. [DOI] [PubMed] [Google Scholar]
- 11.Benning MM, Shim H, Raushel FM, Holden HM. Biochemistry. 2001;40:2712. doi: 10.1021/bi002661e. [DOI] [PubMed] [Google Scholar]
- 12.Chen-Goodspeed M, Sogorb MA, Wu FY, Hong SB, Raushel FM. Biochemistry. 2001;40:1325. doi: 10.1021/bi001548l. [DOI] [PubMed] [Google Scholar]
- 13.Chen-Goodspeed M, Sogorb MA, Wu FY, Raushel FM. Biochemistry. 2001;40:1332. doi: 10.1021/bi001549d. [DOI] [PubMed] [Google Scholar]
- 14.Raushel FM. Curr Opin Chem Microbiol. 2002;5:288. doi: 10.1016/s1369-5274(02)00314-4. [DOI] [PubMed] [Google Scholar]
- 15.Raushel FM, Holden HM. Adv Enzymol. 2000;74:51. doi: 10.1002/9780470123201.ch2. [DOI] [PubMed] [Google Scholar]
- 16.Wu FY, Li WS, Chen-Goodspeed M, Sogorb MA, Raushel FM. J Am Chem Soc. 2001;122:10206. [Google Scholar]
- 17.Caldwell SR, Newcomb JR, Schlechtand KA, Raushel FM. Biochemistry. 1991;30:7438. doi: 10.1021/bi00244a010. [DOI] [PubMed] [Google Scholar]
- 18.Gopal S, Rastogi V, Ashman W, Mulbry W. Biochem. Biophys. Res. Comm. 2000;279:516. doi: 10.1006/bbrc.2000.4004. [DOI] [PubMed] [Google Scholar]
- 19.Li WA, Aubert SD, Raushel FM. J Am Chem Soc. 2003;125:7526. doi: 10.1021/ja035625m. [DOI] [PubMed] [Google Scholar]
- 20.Li WA, Lum KT, Chen-Goodspeed M, Sogorb MA, Raushel FM. Bioorg Med Chem. 2001;9:2083. doi: 10.1016/s0968-0896(01)00113-4. [DOI] [PubMed] [Google Scholar]
- 21.Omburo GA, Kuo JM, Mullins LS, Raushel FM. J Biol Chem. 1992;267:13278. [PubMed] [Google Scholar]
- 22.Dumas DP, Wild JR, Raushel FM. Experientia. 1990;46:729. doi: 10.1007/BF01939948. [DOI] [PubMed] [Google Scholar]
- 23.Lewis VE, Donarski WJ, Wild JR, Raushel FM. Biochemistry. 2001;27:1591. doi: 10.1021/bi00405a030. [DOI] [PubMed] [Google Scholar]
- 24.Aubert SD, Li YC, Raushel FM. Biochemistry. 2004;43:5707. doi: 10.1021/bi0497805. [DOI] [PubMed] [Google Scholar]
- 25.Samples CR, Raushel FM, DeRose VJ. Biochemistry. 2007;46:3435. doi: 10.1021/bi061951d. [DOI] [PubMed] [Google Scholar]
- 26.Wong KY, Gao J. Biochemistry. 2007;46:13352. doi: 10.1021/bi700460c. [DOI] [PubMed] [Google Scholar]
- 27.Jackson CJ, Foo JL, Kim HK, Carr PD, Liu JW, Salem G, Ollis DL. J Mol Biol. 2008;375:1189. doi: 10.1016/j.jmb.2007.10.061. [DOI] [PubMed] [Google Scholar]
- 28.Zhang X, Wu R, Song L, Lin Y, Lin M, Cao Z, Wu W, Mo Y. J Comput Chem. 2009 doi: 10.1002/jcc.21238. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Jackson CJ, Foo JL, Tokuriki N, Afriat L, Carr PD, Kim HK, Schenk G, Tawfik DS, Ollis DL. Proc Natl Acad Sci U S A. 2009;106:21631. doi: 10.1073/pnas.0907548106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Omburo GA, Mullins LS, Raushel FM. Biochemistry. 1993;32:9148. doi: 10.1021/bi00086a021. [DOI] [PubMed] [Google Scholar]
- 31.Benning MM, Hong SB, Raushel FM, Holden HM. J Biol Chem. 2000;275:30556. doi: 10.1074/jbc.M003852200. [DOI] [PubMed] [Google Scholar]
- 32.Benschop HP, Konings CAG, Genderen Jv, Jong LPAd. Toxicol Appl Pharmacol. 1984;72:61. doi: 10.1016/0041-008x(84)90249-7. [DOI] [PubMed] [Google Scholar]
- 33.Rodriguez R, Chinea G, Lopez N, Pons T, Vriend G. Bioinformatics. 1998;14:523. doi: 10.1093/bioinformatics/14.6.523. [DOI] [PubMed] [Google Scholar]
- 34.Bas D, Rogers DM, Jensen JH. Proteins: Struct Funct Bioinf. 2008;73:765. doi: 10.1002/prot.22102. [DOI] [PubMed] [Google Scholar]
- 35.Oostenbrink C, Soares TA, van der Vegt NFA, van Gunsteren WF. Eur Biophys J Biophy. 2005;34:273. doi: 10.1007/s00249-004-0448-6. [DOI] [PubMed] [Google Scholar]
- 36.Soares TA, Daura X, Oostenbrink C, Smith LJ, van Gunsteren WF. J Biomol NMR. 2004;30:407. doi: 10.1007/s10858-004-5430-1. [DOI] [PubMed] [Google Scholar]
- 37.Cornell WD, Cieplak P, Bayly CI, Kollman PA. J Am Chem Soc. 1993;115:9620. [Google Scholar]
- 38.Straatsma TP, Aprà E, Windus TL, Bylaska EJ, de Jong W, Hirata S, Valiev M, Hackler M, Pollack L, Harrison R, Dupuis M, Smith DMA, Nieplocha JVT, Krishnan M, Auer AA, Brown E, Cisneros G, Fann G, Früchtl H, Garza J, Hirao K, Kendall R, Nichols J, Tsemekhman K, Wolinski K, Anchell J, Bernholdt D, Borowski P, Clark T, Clerc D, Dachsel H, Deegan M, Dyall K, Elwood D, Glendening E, Gutowski M, Hess A, Jaffe J, Johnson B, Ju J, Kobayashi R, Kutteh R, Lin Z, Littlefield R, Long X, Meng B, Nakajima T, Niu S, Rosing M, Sandrone G, Stave M, Taylor H, Thomas G, van Lenthe J, Wong A, Zhang Z. 2004 [Google Scholar]
- 39.Soares TA, Osman M, Straatsma TP. J Chem Theory Comput. 2007;3:1569. doi: 10.1021/ct700024h. [DOI] [PubMed] [Google Scholar]
- 40.Berendsen HJC, Postma JPM, van Gunsteren WFJH. Interaction models for water in relation to protein hydration. In: Pullman B, editor. Intermolecular Forces. Dordrecht: Reidel; 1981. p. 331. [Google Scholar]
- 41.van Gunsteren WF, Berendsen HJC. Molecular Simulation. 1988;1:173. [Google Scholar]
- 42.Hess B, Bekker H, Berendsen HJC, Fraaije JGEM. J Comput Chem. 1997;18:1463. [Google Scholar]
- 43.Miyamoto S, Kollman PA. J Comput Chem. 1992;13:952. [Google Scholar]
- 44.Essmann U, Perera L, Berkowitz ML, Darden T, Lee H, Pedersen LG. J Chem Phys. 1995;103:8577. [Google Scholar]
- 45.Hess B, Kutzner C, van der Spoel D, Lindahl E. J Chem Theory Comput. 2008;4:435. doi: 10.1021/ct700301q. [DOI] [PubMed] [Google Scholar]
- 46.Humphrey W, Dalke A, Schulten K. J Mol Graphics. 1996;14:33. doi: 10.1016/0263-7855(96)00018-5. [DOI] [PubMed] [Google Scholar]
- 47.Barducci A, Bussi G, Parrinello M. Phys Rev Lett. 2008;100:020603. doi: 10.1103/PhysRevLett.100.020603. [DOI] [PubMed] [Google Scholar]
- 48.Laio A, Parrinello M. Proc Natl Acad Sci U S A. 2002;99:12562. doi: 10.1073/pnas.202427399. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Bonomi M, Branduardi D, Bussi G, Camilloni C, Provasi D, Raiteri P, Donadio D, Marinelli F, Pietrucci F, Broglia RA. Comput Phys Commun. 2009;180:1961. [Google Scholar]
- 50.Rochu D, Viguie N, Renault F, Crouzier D, Froment MT, Masson P. Biochem J. 2004;380:627. doi: 10.1042/BJ20031861. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Raushel FM, Holden HM. Adv Enzymol Relat Areas Mol Biol. 2000;74:51. doi: 10.1002/9780470123201.ch2. [DOI] [PubMed] [Google Scholar]
- 52.Donarski WJ, Dumas DP, Heitmeyer DP, Lewis VE, Raushel FM. Biochemistry. 1989;28:4650. doi: 10.1021/bi00437a021. [DOI] [PubMed] [Google Scholar]
- 53.diSioudi B, Grimsley JK, Lai K, Wild JR. Biochemistry. 1999;38:2866. doi: 10.1021/bi9825302. [DOI] [PubMed] [Google Scholar]
- 54.Hill CM, Li WS, Thoden JB, Holden HM, Raushel FM. J Am Chem Soc. 2003;125:8990. doi: 10.1021/ja0358798. [DOI] [PubMed] [Google Scholar]
- 55.Reeves TE, Wales ME, Grimsley JK, Li P, Cerasoli DM, Wild JR. Protein Eng Des Sel. 2008;21:405. doi: 10.1093/protein/gzn019. [DOI] [PubMed] [Google Scholar]
- 56.Bashford D. Frontiers in Science. 2004;9:1082. doi: 10.2741/1187. [DOI] [PubMed] [Google Scholar]
- 57.Nielsen JE, McCammon JA. Protein Sci. 2003;12:313. doi: 10.1110/ps.0229903. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Gomes DE, Lins RD, Pascutti PG, Lei C, Soares TA. J Phys Chem B. 2009;114:531. doi: 10.1021/jp9083635. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Hammes-Schiffer S, Benkovic SJ. Annu Rev Biochem. 2006;75:519. doi: 10.1146/annurev.biochem.75.103004.142800. [DOI] [PubMed] [Google Scholar]
- 60.Tzeng SR, Kalodimos CG. Curr Opin Struct Biol. 21:62. doi: 10.1016/j.sbi.2010.10.007. [DOI] [PubMed] [Google Scholar]
- 61.Mittermaier A, Kay LE. Science. 2006;312:224. doi: 10.1126/science.1124964. [DOI] [PubMed] [Google Scholar]
- 62.Vendruscolo M, Dobson CM. Science. 2006;313:1586. doi: 10.1126/science.1132851. [DOI] [PubMed] [Google Scholar]
- 63.Bhabha G, Lee J, Ekiert DC, Gam J, Wilson IA, Dyson HJ, Benkovic SJ, Wright PE. Science. 2010;332:234. doi: 10.1126/science.1198542. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Boehr DD, McElheny D, Dyson HJ, Wright PE. Proc Natl Acad Sci U S A. 2010;107:1373. doi: 10.1073/pnas.0914163107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Wright PE, Dyson HJ. Curr Opin Struct Biol. 2009;19:31. doi: 10.1016/j.sbi.2008.12.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Boehr DD, McElheny D, Dyson HJ, Wright PE. Science. 2006;313:1638. doi: 10.1126/science.1130258. [DOI] [PubMed] [Google Scholar]
- 67.Eisenmesser EZ, Millet O, Labeikovsky W, Korzhnev DM, Wolf-Watz M, Bosco DA, Skalicky JJ, Kay LE, Kern D. Nature. 2005;438:117. doi: 10.1038/nature04105. [DOI] [PubMed] [Google Scholar]
- 68.Daniel RM, Dunn RV, Finney JL, Smith JC. Annu Rev Biophys Biomol Struct. 2003;32:69. doi: 10.1146/annurev.biophys.32.110601.142445. [DOI] [PubMed] [Google Scholar]
- 69.Korzhnev DM, Salvatella X, Vendruscolo M, Di Nardo AA, Davidson AR, Dobson CM, Kay LE. Nature. 2004;430:586. doi: 10.1038/nature02655. [DOI] [PubMed] [Google Scholar]
- 70.Boehr DD, Nussinov R, Wright PE. Nat Chem Biol. 2009;5:789. doi: 10.1038/nchembio.232. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Dumas DP, Caldwell SR, Wild JR, Raushel FM. J Biol Chem. 1989;264:19659. [PubMed] [Google Scholar]








