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Biophys J, September 2000, p. 1253-1262, Vol. 79, No. 3
a,*
ski,*
and
*Interdisciplinary Centre for Mathematical and Computational
Modelling, Warsaw University, 02-106 Warsaw, Poland;
Institute of Physics, Nikolaus Copernicus University,
87-100 Torun, Poland;
Department of Biophysics, Warsaw
University, 02-089 Warsaw, Poland; and §Howard Hughes
Medical Institute, and Department of Chemistry and Biochemistry and
Department of Pharmacology, University of California at San Diego,
La Jolla, California 92093-0365 USA
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ABSTRACT |
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|
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A quantum-classical molecular dynamics model (QCMD),
applying explicit integration of the time-dependent Schrödinger
equation (QD) and Newtonian equations of motion (MD), is presented. The model is capable of describing quantum dynamical processes in complex
biomolecular systems. It has been applied in simulations of a multistep
catalytic process carried out by phospholipase A2 in its
active site. The process includes quantum-dynamical proton transfer
from a water molecule to histidine localized in the active site,
followed by a nucleophilic attack of the resulting OH
group on a carbonyl carbon atom of a phospholipid substrate, leading to
cleavage of an adjacent ester bond. The process has been simulated
using a parallel version of the QCMD code. The potential energy
function for the active site is computed using an approximate valence
bond (AVB) method. The dynamics of the key proton is described either
by QD or classical MD. The coupling between the quantum proton and the
classical atoms is accomplished via Hellmann-Feynman forces, as well as
the time dependence of the potential energy function in the
Schrödinger equation (QCMD/AVB model). Analysis of the simulation
results with an Advanced Visualization System revealed a correlated
rather than a stepwise picture of the enzymatic process. It is shown
that an sp2
sp3 configurational change at
the substrate carbonyl carbon is mostly responsible for triggering the
activation process.
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INTRODUCTION |
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|
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Quantum-dynamical processes, including proton
transfer reactions, are of considerable importance in chemistry,
physics, and biology (Gold and Caldin, 1975
; Bamford, 1978
; Bell, 1980
;
Warshel, 1991
; Bountis, 1992
), particularly for enzyme catalysis
(Warshel and Levitt, 1976
; Warshel, 1991
; Klinman, 1989
; Cha et al.,
1989
; Rucker et al., 1992
; Bahnson and Klinman, 1995
; Rucker and
Klinman, 1999
; Alhambra et al., 1999
; Karsten et al., 1999
). Current
experimental studies show that classical transition state theory and
its extensions accounting for tunneling corrections do not adequately
describe an enzymatic reaction with proton transfer (Basran et al.,
1999
). Classical molecular dynamics simulations using either ab
initio or semiempirical numerical quantum-mechanical potential
energy functions have been performed for enzymatic reactions (e.g.,
Field et al., 1990
; Warshel, 1991
; Lee and Warshel, 1992
; Alagona et al., 1996
).
One of the most important problems in the study of enzymatic processes
is our ability to describe their complex dynamics using models that are
based on first physical principles. In particular, precise description
of catalytic processes requires use of the time-dependent
Schrödinger equation, which is difficult when modeling enzymatic
reactions and dealing with large changes in the electronic charge
distribution as well as proton or electron tunneling processes. Our
previous quantum-classical molecular dynamics (QCMD) simulations for
phospholipase A2, an enzyme that hydrolyzes
phospholipids, were able to describe a proton tunneling process that
occurs in the enzyme active site (Bala et al., 1995
, 1996a
,b
), but the
potential energy surface was not sufficiently flexible to describe the
subsequent nucleophilic attack of the OH
group
and cleavage of an ester bond. In the present study, the catalytic
process is simulated using QCMD with an approximate valence bond method
(AVB) (Grochowski et al., 1996
) as a fast generator of the potential
energy function, so that all steps of the catalytic process occur. The
method is referred to as QCMD/AVB. The purpose of this study is to
simulate the enzymatic process and to see if the results are consistent
with the textbook description. One should note that a priori the method
does not assume any specific reaction path. This study should also
demonstrate that complex time-dependent biomolecular processes can
effectively be studied using the proposed first-principles approach.
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SYSTEM |
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The secondary structure of phospholipase A2
(PLA2) consists of three connected
-helices.
The active site is located between two parallel
-helices and
includes a histidine (His48) and a water
molecule. A Ca2+ cation coordinated by polar
functional groups of the protein and water molecules also plays a role
in hydrolysis. The crystal structure shows that
His48 is hydrogen bonded to an aspartic acid
residue (Asp93) and to structural water (Fig.
1).
|
Diffusion of a substrate into the active site is the rate-limiting step
of the whole enzymatic process. This aspect has been studied by others
(Zhou and Schulten, 1996
; H. Berendsen, personal communication). Based
on crystallographic and biochemical data, a mechanism of hydrolysis was
proposed (Scott et al., 1990b
; Sessions et al., 1992
; Waszkowycz et
al., 1990
). In the first step, a proton is transferred from the
structural water molecule to the histidine residue, creating the
OH
group. This allows for the nucleophilic
attack of the latter group at the carbonyl carbon of the substrate. The
intermediate product of the attack is the tetrahedral
substrate-hydroxy anion adduct stabilized by the calcium ion (Sessions
et al., 1992
). In the next step of the reaction, the substrate ester
bond is cleaved. Proton transfer from histidine to the product
completes the catalytic cycle.
The proposed reaction scheme (Fig. 2)
suggests a crucial role of the proton transfer process in the catalytic
cycle, which is typical for a wide class of enzymatic reactions. During
catalysis, bulk solvent has no access to the active site. The calcium
ion is essential both for the binding of substrate and for catalysis (Sessions et al., 1992
). It lowers the activation barrier of the transition state and controls the substrate binding (White et al.,
1990
; Scott et al., 1990a
).
|
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QCMD MODEL |
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|
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A major challenge in the description of enzymatic reactions is the
proper description of the complex bond-breaking process. This cannot be
done properly by conventional classical molecular dynamics models.
Description of the dissociation process requires nonstandard potential
energy functions. Moreover, because of the low mass of the proton,
quantum-mechanical tunneling may occur, as has been well documented in
some enzymatic systems (Cha et al., 1989
; Jonsson et al., 1994
).
To meet these challenges, several methods have been developed. Most of
them are based on partitioning of the system into quantum and classical
subsystems, the evolutions of which are described by quantum and
classical dynamics, respectively. The most successful implementations
of these approaches are the time-dependent self-consistent method
(Gerber et al., 1982
), the surface hopping approach (Hammes-Schiffer, 1996
), the density matrix evolution method (Marvi et al., 1993
), and
QCMD (see, e.g., Bala et al., 1992
, 1994a
, 1996a
,b
).
Approximation properties and limits of the QCMD model were analyzed by
Bornemann et al. (1996)
. QCMD simulations results for model systems
with proton transfer were compared with other approaches, particularly
time-dependent self-consistent field (TDSCF) and full quantum-dynamical
(QD) simulations, giving in the latter case very similar results (Bala
et al., 1996a
,b
). The QCMD code was implemented on parallel computer
architectures and successfully applied in studies of large biomolecular
systems (Bala et al., 1997
, 1998a
,b
).
In the current study, the enzyme molecule is divided into two regions. The first one is called the classical region and contains the protein environment for the active site. The second one, called the quantum region, is equivalent to the active site and comprises the molecular fragments directly involved in the enzymatic reaction: the imidazole ring of His48, a water molecule, and a segment of the substrate (-CH2-CO-O-CH2-) with the ester bond to be hydrolyzed (Fig. 1).
Let x and X
denote position
vectors of the quantum and classical degrees of freedom, respectively.
The potential energy function is expressed as
|
(1) |
)
is the conventional, analytical potential energy term describing mutual
interactions of atoms modeled as the classical particles, and
Vq(x, X
)
is the potential energy function of the quantum particle(s), also
containing their interactions with the surrounding atoms.
The dynamics of the quantum particles is described by the
time-dependent Schrödinger equation, and the rest of the system is governed by the Newtonian equations of motion with classical (F
c) and averaged, quantum
Hellmann-Feynman (F
q) forces (Bala et
al., 1994b
).
In the simplest representation the QCMD equations are the following:
|
(2) |
|
(3) |
|
(4) |
|
(5) |
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AVB METHOD |
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Evaluation of the potential for the quantum domain
Vq (x,
X
(t)) is a bottleneck of all
theoretical calculations of enzymatic reactions. Determination of
high-quality potential energy surfaces (Ohrn et al., 1996
) requires
usage of advanced quantum mechanical methods. However, reliable
ab initio or density functional theory (DFT) methods are
very time consuming and cannot be directly applied in hybrid
quantum-classical models. However, reliable ab initio or DFT
methods are very time consuming and are hard to apply to whole
enzymatic processes (see, e.g., Parrinello, 1997
).
To overcome this difficulty we have formulated and parameterized an
approximate valence bond (AVB) method (Grochowski et al., 1996
) to
describe the potential energy functions for proton transfer and hydroxy
anion nucleophilic reactions in enzymes. AVB is similar to the
EVB approach (Warshel, 1991
; Lee and Warshel, 1992
) but uses
ab initio rather than empirical parameterization. In
particular, this parameterization has been based on DFT calculations
with the Heiden-Lundqvist/Janak-Morruzi-Williams functional with the DNP basis. The most crucial calculations, including the energy profiles for the proton transfer processes, have been repeated with the
conventional ab initio method at the MP2-6-31(d) level, using the Gaussian program. The two methods gave very similar energy
profiles. Dissociation energies of isolated molecules were verified
against available experimental data in the vapor state and scaled to
the precise experimental observables (proton affinities: 390 kcal/mol
for OH
, 229 kcal/mol for imidazole, and 381 kcal/mol for CH3O
).
Influence of the molecular environment on the energy profiles was
accounted for via the electrostatic field generated by the atomic
charges. The AVB method reproduces bond dissociation processes as well
as partial atomic ESP charges, which allows for proper description of the electrostatic potential in the area of the quantum
site (Tables
1-3).
|
|
|
The AVB method has been applied in calculations of the potential energy surface for selected atoms as well as the proton of the water molecule in the phospholipase A2 active site. The quantum region of the PLA2-substrate complex is described by 14 different VB structures (see Fig. 3).
|
The instantaneous, microscopic Born-Oppenheimer potential energy
surface for the proton motion in the isolated active site is bistable,
with a deep minimum located 0.98 Å from the water oxygen. The second
minimum, near the imidazole nitrogen, is ~40 kcal/mol above the
global one (Grochowski et al., 1996
). The presence of the structural
Ca2+ ion in the active site reduces this barrier
by up to 20 kcal/mol. The structural as well as electrostatic field
fluctuations further reduce this barrier (see, e.g., Bala et al., 1995
;
Grochowski et al., 1996
), and therefore the mean barrier for the proton
transfer is much lower. Changes in the shape of the potential energy
surface play a crucial role in the proton quantum dynamics and lead to the proton transfer and, later on, to the successive reaction steps
(cf. Warshel, 1984
; Hwang et al., 1991
).
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MD/AVB AND QCMD/AVB MODELS |
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|
|
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The AVB method is used to generate forces acting on the atoms in the active site in both classical (MD/AVB) and quantum-classical molecular dynamics (QCMD/AVB) simulations. The AVB potential energy surface also accounts for changes in hybridization of atoms in the active site, in particular water oxygen, His48 nitrogen, and the substrate carbon atom (see Fig. 1).
The conventional interaction parameters used in the simulations are
based on the GROMOS (Van Gunsteren, 1987
) parameterization with
implicit solvent. Several modifications of the electrostatic charges of
atoms in the neighborhood of the Ca2+ cation were
introduced as in our previous studies (Bala et al., 1994b
, 1995
).
Atomic charges on the water molecule, the imidazole ring of
His48, and on the substrate directly involved in
hydrolysis are obtained within the AVB method and recalculated at the
each time step. The charges on the substrate PO4
group and on the terminal NH3 group were obtained
from DFT calculations, using DMol (Molecular Simulations) and are kept
fixed during the dynamics.
The total potential energy surface used in the MD/AVB and QCMD/AVB
models is given by Eq. 2 with
|
(6) |
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THE ENZYME SYSTEM: ITS THERMALIZATION AND EQUILIBRATION |
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|
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In our studies, crystal structures of both native (Scott et al.,
1990b
) and inhibited (White et al., 1990
; Scott et al., 1990a
; Bennion
et al., 1992
) enzymes from a cobra venom were used. The inhibitor
molecule was changed into the substrate by replacing the phosphonate
group of the transition state analog by a carbon atom and one water
molecule. Before the MD/AVB simulations, the structure of the system
was relaxed. One thousand steps of steepest-descent minimization were
executed, followed by 10 0.1-ps dynamics runs at a temperature of 5 K
performed in the microcanonical ensemble (NVT), with a time step
of 0.5 fs. The final coordinates were chosen as a starting point for
further energy minimization. One thousand one-step runs at a
temperature of 5 K were performed, and the velocities were reassigned
at each time step to remove excess kinetic energy from the system. The
structure from the last step was used as a starting point in the
standard thermalization procedure. A 20-ps dynamic simulation was
performed with a time step of 0.5 fs. Every 0.2 ps new velocities were
generated from a Maxwellian distribution. Every 5 ps, the reference
temperature was increased to approach a final value of 300 K. Then
another 25-ps dynamics with velocity scaling characterized by a short relaxation time (0.1 ps) was performed at 300 K. The last stage of the
thermalization procedure consisted of 55-ps dynamics in the NVT
ensemble with a relaxation time of 1 ps. During the thermalization and
equilibration process a restraint on the water oxygen-hydrogen distance
was applied to prevent proton transfer to the imidazole ring. All
simulations were performed with the MD/AVB model.
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PROTON TRANSFER AND HYDROLYTIC PROCESSES IN THE MD/AVB AND QCMD/AVB SIMULATIONS |
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The productive MD/AVB trajectory started at 150 ps. The time step was 0.5 fs, and the temperature was set to 300 K, with the relaxation time of the thermal bath equal to 1 ps. At the 224-ps point of the simulation, the water molecule was stable and the OH bond length was 1.02 Å, a typical value for water forming a hydrogen bond. At 224.5 ps a change in the substrate carbon C2 hybridization from planar to tetrahedral is observed (Fig. 4). Shortly thereafter, at 224.82 ps, the proton transfer from the water molecule to the imidazole ring of His48 takes place.
|
The changes in the active site induced by the enzymatic environment are confirmed by the time dependence of the formal charges of the atoms in the active site. The charges were calculated at each time step within the AVB model. The C2 carbon charge increases by 0.2e at 224.82 ps, before the proton transfer takes place, and at the same time the hybridization change from sp2 to sp3 at the carbon atom is observed. The charge transfer and the change in hybridization are induced by changes in the electrostatic field generated by the protein environment and electron polarization effects inside the active site induced by the proton transfer.
At 224.85 ps the mean distance between the hydrogen and water oxygen increases to 1.7 Å. At the same time, the distance between the proton and imidazole ring nitrogen decreases to 1.0 Å, and a covalent bond is formed (Fig. 5 a). The proton transfer is fast and is completed within 0.02 ps. However, the stabilization of the bond and dissipation of the excess energy of the proton take a longer time (0.2 ps).
|
The proton transfer process is associated with a slight increase in the water oxygen-imidazole nitrogen distance. This observation is contrary to the common conviction that shortening of the hydrogen bond, which lowers the energy barrier for the proton motion, is one of the most important promoters of the proton transfer. Such correlations between the proton transfer process and length of the hydrogen bond have not been observed in these simulations.
While the proton transfer takes place, the OH
ion is formed, and instantaneously it begins moving toward the
substrate carbonyl carbon (Fig. 6
a). Decreases in the OH
-C2
substrate distance, first to 1.9 Å and then after 0.2 ps to 1.6 Å,
are observed. The cooperative motion of the proton and the
OH
group does not support the textbook
sequential mechanism of the enzymatic reaction presented in Fig. 2.
Although the first, most significant part of the nucleophilic attack is
observed at the same time as the proton transfer, the stabilization of
the formed bond takes ~0.6 ps. These processes are associated with
the increase in the mean C2-O2 distance from 1.5 Å to 1.75 Å (Fig.
6), and the covalent bond C2-O2 is cleaved. One can say that the
enzymatic process occurs in a concerted manner. Such processes, among
others, were discussed by Jencks (1997)
.
|
The simulation shows that successful proton transfer takes place only when it is accompanied by the nucleophilic attack and the change of hybridization at the carbon atom, which is visible in the changes of the dihedral angles involving the C2 substrate atom. Because the proton transfer and the nucleophilic attack take place after the C2 hybridization starts to change, one sees that changes at the substrate carbon atom are crucial for the reaction. One should stress that an additional 50-ps MD/AVB simulation with a restraining potential forcing the planar conformation of the substrate C2 atom did not lead to any proton transfer, and during this simulation no catalytic process was observed.
More accurate simulations were also performed using the QCMD/AVB model,
allowing the proton to be a fully quantum-dynamical particle. In this
case, the proton in the hydrogen bond between the histidine and the
water molecule was replaced with a three-dimensional Gaussian
wavepacket located in the global energy minimum. The initial classical
positions and momenta were taken from the MD/AVB at 224.4 ps, before
the classical proton transfer process occurred. The momentum of the
wavepacket was set to zero. The potential energy surface for the motion
of the proton's wavepacket was calculated on a discrete 64 × 32 × 32 point grid with the AVB method. The potential on the grid
and the Hellmann-Feynman forces were recalculated at each time step at
new atomic positions. The proton wavefunction was propagated on the
discrete grid by numerical integration of the time-dependent
Schrödinger equation, using a Chebychev polynomial expansion
method (Bala et al., 1994a
; Tel-Ezer and Kosloff, 1984
; Truong et al.,
1992
).
Because the potential energy surfaces used in the QCMD/AVB and MD/AVB calculations are the same one, the transition between the models is smooth and no thermalization is required according to the correspondence rule. The QCMD/AVB simulation was run for 0.7 ps. The time step, temperature, and coupling to the thermal bath were the same as in the preceding MD/AVB simulations.
The mean distance between the hydrogen and water oxygen atoms changes
during the first 0.2 ps from 1.05 Å to 1.20 Å (Fig. 5). This effect
is not observed in the reference classical trajectory and is a
signature of the quantum nature of the proton in the hydrogen bond
(Borisenko et al., 1995
). In the same time period, a shortening of the
water oxygen-substrate carbon distance from 2.2 Å to 1.95 Å is
observed (Fig. 6 b). Shortly thereafter the proton transfer
occurs. The mean distance between the hydrogen and water oxygen
increases to 1.9 Å. At the same time the distance between the proton
and nitrogen of the imidazole ring decreases to 1.0 Å, and a covalent
bond is formed (Fig. 5 b). The proton transfer process
occurs in a smoother way than the classical one and is completed within
0.2 ps. During this time the proton's wavefunction is strongly
delocalized. After this period the delocalization and splitting of the
proton's density between the two potential minima disappear. The wave
function localizes near the imidazole ring. The observed time of the
proton transfer event is similar to the value obtained in the MD/AVB
simulations; however, in the QCMD/AVB model the process is smooth and
cannot be decomposed, as in the previous case, into fast proton
transfer and slow vibronic relaxation.
The quantum-dynamical mechanism of the proton transfer reaction can be characterized by analysis of the changes in the potential energy surface together with changes in the proton's probability density. The potential energy surface for the proton motion changes significantly during the QCMD/AVB simulations. The energy barrier for the proton transfer is initially 20 kcal/mol and decreases during the process. The barrier almost vanishes at time 224.48 ps, and shortly afterward (0.01 ps) a rapid increase in the proton transfer probability is observed (Fig. 7). Before the proton transfer, the minimum located near the water molecule is 10 kcal/mol lower than the second one. At time 224.45 ps, just after the proton transfer process is started, the energy minimum close to nitrogen is lowered by 25 kcal/mol and becomes lower than the other one (Fig. 7). At all times, the proton's wavefunction is strongly localized in the potential minimum near the water molecule, and the probability of finding a proton near nitrogen is lower than 0.1. At 224.45 ps, the minimum near water oxygen becomes higher than the other one by 10-15 kcal/mol, and after 0.15 ps it cannot be resolved (Fig. 7). At 224.6 ps the potential energy surface has only one minimum, close to the imidazole nitrogen. One should note that most of the proton transfer process takes place during this period, and ~60% of the proton's density is transferred to the nitrogen atom. Full localization of the proton's wavepacket near imidazole is achieved after 0.4 ps from the time at which the minimum close to imidazole becomes deeper. At the same time additional stabilization of the potential minimum is observed. Because the energy minimum level is at this time clearly correlated with the proton's total density in the area near the imidazole nitrogen, this stabilization can be treated as an accommodation of the active site region to the situation after the proton transfer and C-O bond cleavage.
|
Effective barriers for particle transfer can differ noticeably,
depending on whether the particle is treated classically or quantum-dynamically. This has clearly been shown by Parrinello and
co-workers for the hydrated excess proton in water. It appears that a
barrier with a height of ~2 kcal/mol is washed out to zero after the
classical proton is replaced by the quantum-dynamical one (Tuckerman et
al., 1997
).
We observed a similar effect in our study. By applying the same averaging procedure as described in the paper above, we computed the effective barrier for the proton transfer, first treating proton classically (AD/AVB), and then treating the proton quantum-dynamically (QCMD/QVB). The averaging window included the proton transfer process and cleavage of the ester bond. In the classical case we got a barrier height of 2.5 kcal/mol, and in the quantum one, 0.5 kcal/mol. This phenomenon is due to the fact that the quantum particle is always localized above the zero-vibrational level, and in addition the delocalized probability density probes areas with lower energy through the instantaneous barrier "smoothing." For such cases the simple transition state theory does not apply.
A better understanding of the catalytic process can be achieved by
visualizing in three dimensions the structural changes of the enzyme
active site containing the substrate molecule, along with the changes
in the electrostatic potential and changes in the total potential
energy function for the proton transfer that drives the evolution of
the proton probability distribution. An AVS/Express environment
(Advanced Visual Systems, Waltham, MA) was used to present and analyze
selected snapshots of the QCMD/AVB simulation. Fig.
8, a-d, presents the proton
transfer process from the water molecule to the histidine ring. Over
time the proton charge distribution loses its initial convex shape. The
transition state is characterized by the split and roughly symmetrical
distribution being shared by the donor and the acceptor (see Fig. 8
c). The equipotential energy surfaces surrounding the proton
charge distribution evolve in time in a smooth way. Its bistable shape
changes, shifting the global energy minimum from the water oxygen atom
to the imidazole. This shift results mostly from the electrostatic
interactions, which are apparent when the electrostatic potential field
is analyzed. The proton transfer process initiates the nucleophilic
attack of the OH
group on the substrate
carbonyl carbon. Fig. 8, c-e, presents the attack. The
OH
nucleophilic attack starts before the proton
transfer is fully completed. In turn, as already mentioned, the
OH
attack is strongly coupled to hydrolysis of
the C2-O2 ester bond. Fig. 8, d and f, presents
configurations characteristic for the beginning and the end of the
hydrolytic process. One sees the sp2
sp3 hybridization change at the C2 carbon (Fig. 8
d), which initiates the hydrolytic process. The distances
OH
-C2 and C2-O2 are equal, respectively, to
1.81 Å and 1.66 Å at the beginning (Fig. 8 e) and to 1.57 Å and 1.74 Å at the end of this process.
|
| |
CONCLUDING REMARKS |
|---|
|
|
|---|
In this study, for the first time, we were able to use
time-dependent quantum theory and a quantum approximation for the
interatomic forces to simulate the whole catalytic process of an
enzyme. In particular, the quantum-dynamical dissociation of the water
molecule in the enzyme active site and the nucleophilic attack of the
ensuing OH
group at the ester bond of the
substrate were simulated. The results demonstrate the capability of the
MD/AVB and QCMD/AVB models for the study of enzymatic reactions (Fig.
9). The QCMD approach is more
accurate and automatically accounts for the zero-level vibrational
correction, a characteristic of the time-independent quantum theories
that always keeps the wave packet above the potential energy minimum
and increases the transfer probability (see, e.g., Tuckerman et al.,
1997
, Benoit et al., 1998
). Changes in the potential energy surface
driving the reaction process are determined by the changes in the
atomic positions in the active site and by the electrostatic potential
generated in the active site region by the protein environment.
|
The results show that shortening of the hydrogen bond is not the only process that can promote the proton transfer. It is clearly seen that the protein scaffold, especially fluctuations in the electrostatic field generated by the charged residues, plays a significant role in the catalytic cycle. The most important are structural and electronic changes occurring in the substrate molecule, especially at the carbonyl carbon atom C2.
A second important implication of the present results is that the nucleophilic attack and the proton transfer from water to His48 are almost simultaneous. Moreover, successful proton transfer cannot take place when the nucleophilic attack is prohibited by constraining the carbonyl carbon at the sp2 hybridization. Both processes require proper preparation of the active site region. In particular, the successful reaction cycle must be preceded by the charge shift at the substrate atoms, especially carbon C2. This process must take place before the proton transfer to stabilize the reaction products.
| |
ACKNOWLEDGMENTS |
|---|
This work was supported by the Polish State Committee for Scientific Research (8T11F 016 16), Nikolaus Copernicus University, the San Diego Supercomputer Center, and the U.S. National Science Foundation.
| |
FOOTNOTES |
|---|
Received for publication 24 February 2000 and in final form 5 June 2000.
Address reprint requests to Dr. J. Andrew McCammon, Department of Chemistry and Biochemistry, University of California-San Diego, Urey Hall, Room 4238, 9500 Gilman Drive, La Jolla, CA 92093-0365. Tel.: 858-534-2905; Fax: 858-534-7042; E-mail: jmccammon{at}ucsd.edu.
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REFERENCES |
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molecular dynamics simulation study of tunneling by density matrix evolution and nonequilibrium solvation.
J. Phys. Chem.
97:13469-13476
Biophys J, September 2000, p. 1253-1262, Vol. 79, No. 3
© 2000 by the Biophysical Society 0006-3495/00/09/1253/10 $2.00
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