| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
Department of Chemistry, University of Basel, CH-4056 Basel, Switzerland
Correspondence: Address reprint requests to Markus Meuwly, Klingelbergstrasse 80, CH-4056 Basel, Switzerland. Tel.: 41-61-267-3821; E-mail: m.meuwly{at}unibas.ch.
| ABSTRACT |
|---|
|
|
|---|
| INTRODUCTION |
|---|
|
|
|---|
Despite the wealth of information available from numerous experimental and theoretical studies, a microscopic description of ligand binding remains elusive, and fundamental questions still remain unanswered. Where does the free ligand go in the moments after photodissociation (Nienhaus and Nienhaus, 2002
)? What are the timescales involved in the ligand motion? How and when does the ligand rebind to the heme (McMahon et al., 2000
)? What are the energy barriers involved (Harvey, 2000
)? What is the origin of such energy barriers (Meuwly et al., 2002
)? Some of these questions are only now starting to be answered.
Experimentally, agreement seems to have been reached on the events after photodissociation of CO from Mb (Frauenfelder et al., 2001
; Nienhaus et al., 2002
; Ostermann et al., 2000
). Lim et al. (1993
; 1995a
,b
; 1997
) have presented strong evidence for the presence of a docking site within the protein, adjacent to the heme at the edge of the distal heme pocket, which reversibly binds CO. Through a series of time-resolved infrared studies, evidence supporting the docking process has been observed (Lim et al., 1995b
) and the timescale of the process from photodissociation to docking was estimated to be 0.5 ps (Lim et al., 1997
). The docking process and the timescales involved can be dramatically altered by making mutations in the region of the docking site. Recently, Schotte et al. (2003)
showed that in the mutant L29F, in which Leu29 is replaced by a Phe, the nature of the docking site in the distal heme pocket is changed and, instead of remaining in the docking site for nanoseconds, the photodissociated CO ligand rapidly moves from the distal heme pocket to other regions of the protein.
Further important details concerning wild-type myoglobin were obtained from the polarized infrared spectroscopy study of Lim et al. (1997)
. Because of the inhomogeneous electric field inside the heme pocket, the center frequency of the absorption band of CO will be both position and orientation dependent. Thus, the time-resolved polarized infrared spectrum of photodissociated CO allows the dissociation trajectories to be probed directly. From this study, the observed splitting of 10 cm-1 in the infrared spectrum of the photodissociated CO (Lim et al., 1995b
) was assigned to two possible orientations of the CO within the docking site, named B1 and B2.
Although molecular dynamics simulations support the notion of a docking site at the edge of the distal heme pocket (Ma et al., 1997
; Meller and Elber, 1998
; Vitkup et al., 1997
), they have, for example, not yet reproduced the experimentally observed splitting (Ma et al., 1997
). There could be several reasons for this. First, although the length of the simulations corresponds to the timescale of the docking process, the data collected may not be sufficiently complete to enable reproduction of the splitting. Specifically, the experiments probe a (largely unknown) distribution of CO positions and orientations within the active site. Alternatively, the models used to describe the CO ligand in the simulations may not be of sufficient accuracy. In addition, free-energy barriers have not been calculated.
In this article, we present the results of molecular dynamics (MD) simulations using a fluctuating charge model for the CO ligand, fitted to high-level ab initio calculations of the dipole and quadrupole moment functions taken from the literature (Maroulis, 1996
; 2001
). Infrared spectra of the photodissociated CO ligand are calculated from the trajectories using a time-correlation function approach (McQuarrie, 1976
). The results obtained reproduce the experimentally observed splitting of the infrared spectrum, and almost quantitatively predict the magnitude of the splitting and the position of the adsorption band. Furthermore, the 1 ns trajectories permit observations of behavior not seen in shorter trajectories. We compare the results from our fluctuating charge model with those from the original three-point charge model of Straub and Karplus (1991)
and investigate the effects of the Leu29
Phe mutation (Schotte et al., 2003
).
The rest of this article is organized as follows. In the next section, we describe the theoretical methods used, including the development of the new fluctuating charge model and the time-correlation methods for the calculation of infrared spectra. The results obtained with this model are described in the "Results" section, along with details concerning the reparametrization of the charge model that takes the protein environment into account. In the final section, "Conclusions", we discuss the results obtained and make some conclusions.
| THEORETICAL METHODS |
|---|
|
|
|---|
The computational setup follows a similar procedure to previous studies of the photodissociation of MbNO and MbCO (Meuwly et al., 2002
; Straub and Karplus, 1991
). A summary of the principal features is given here for completeness. The initial MbCO structure was taken from the x-ray study of Kuriyan et al. (1986)
, to which hydrogen atoms were added. A detailed view of the active site region is shown in Fig. 1. Since the simulation is focused on the region surrounding the heme group, the stochastic boundary method was used to increase computational efficiency (Brooks and Karplus, 1983
). The heme pocket was solvated by three sequential overlays of a 16 Å sphere of equilibrated water molecules, centered on the heme, and a solvent boundary potential with radius 16 Å was applied to constrain the water molecules. A "reaction region" of radius 12 Å centered on the heme was defined, inside which the system was propagated with Newtonian dynamics. The dynamics of the buffer region between 12 and 16 Å from the center was described using Langevin dynamics. The system contained a total of 2532 heme protein atoms, the CO ligand, and 167 water molecules, which were represented by a modified TIP3P potential (where the van der Waals interactions are shared between the H and O sites) (Jorgensen et al., 1983
). The nonbonded interactions were truncated at a distance of 9 Å using a shift function for the electrostatic terms and a switch algorithm for the Van der Waals terms. Friction coefficients of 62 ps-1 and 250 ps-1 were applied to the oxygen site of water and the remaining nonhydrogen atoms, respectively. The entire system was equilibrated for 90 ps at 300 K. Initial geometries for the photodissociation were taken from the equilibration at 80, 85, and 90 ps.
|
The photodissociation event was modeled by the "sudden" approximation, as used by Meuwly et al. (2002)
. The Fe-C bond is deleted and the potential parameters for the bound state are replaced by those for the dissociated state. A repulsive term of the form r-12 was added and all nonbonded interactions between the CO and the heme "gate" were switched off. After 0.1 ps of dynamics, by which time the Fe-C bond is fully dissociated, the repulsive term was switched off and the nonbonded interactions were reintroduced. Subsequently, three 1 ns trajectories of photodissociated MbCO were calculated at 300 K. These trajectories were analyzed and properties such as the CO infrared spectrum were calculated.
The infrared spectrum can be calculated from the time dependence of the dipole moment of the dissociated CO molecule, µ(t). For this, the real-time dipole-dipole autocorrelation function, C(t), is constructed. The infrared spectrum, C(
), is then calculated from the Fourier transform of C(t) (McQuarrie, 1976
). The time correlation function is accumulated over 2n time origins, where n is an integer such that 2n corresponds to between
1/3 and 1/2 of the trajectory, with the time origins separated by 1 fs. This function can then be transformed using a fast Fourier transform with a Blackman filter to minimize noise (Allen and Tildesley, 1989
). The final infrared adsorption spectrum is then calculated by evaluating
![]() | (1) |
Charge models for CO
A range of models for representing CO molecules are available in the literature (Berne and Harp, 1970
; Elber and Karplus, 1990
; Fracassi and Della Valle, 1984
; Straub and Karplus, 1991
). These range from Stockmayer models (Lennard-Jones spheres with embedded dipole and quadrupole moments) (Berne and Harp, 1970
) to diatomic models that neglect the quadrupole moment (Elber and Karplus, 1990
), and a more complicated five-site model used in lattice dynamics simulations of solid CO (Fracassi and Della Valle, 1984
). More recently, a three-site model for CO was developed by Straub and Karplus (1991)
, which has subsequently been used in a number of simulations of CO in myoglobin (Ma et al., 1997
; Meller and Elber, 1998
; Sagnella and Straub, 1999
; Vitkup et al., 1997
). It consists of charges and Lennard-Jones interaction sites on the C and O atoms, and a further charge site at the center of mass. This three-site model approximately reproduces the experimentally observable dipole and quadrupole moments and a range of other properties such as ab initio interaction energies with various molecules and the lattice constant of solid CO. The interatomic CO potential is derived from an anharmonic rotational Rydberg-Klein-Rees (RRKR) model (Huffaker, 1976a
,b
), which quantitatively reproduces the vibrational frequencies of CO. For the calculation of infrared spectra, this model can be improved in several ways. First, the dipole and quadrupole moments of the CO molecule are not in exact agreement with experiment or theory (Maroulis, 1996
, 2001
; Muenter, 1975
; Roco et al., 1995
). This is due to the fact that the model was parametrized to reproduce interaction energies. Second, the model is unable to reproduce the experimentally observed dipole moment functionthe dipole moment derivative is an order of magnitude too small (Luis et al., 1995
; Maroulis, 1996
).
In the following we present an electrostatic model of CO that is based on fluctuating charges, although retaining the three-site character of the original model of Straub and Karplus (1991)
(SK model). The present model (NM model) is designed to correctly describe the dipole µ(r) and quadrupole moment functions
(r) as a function of the CO bond length r.
We have taken the three-point charge model of Straub and Karplus (1991)
, with charges on the C and O atoms and an additional charge site at the center of mass, and allowed the charges to fluctuate. To fit such a fluctuating charge model, the multipole moment functions need to be known. To our knowledge, no experimental determination of the quadrupole moment function of CO is available in the literature. Semi-empirical dipole moment functions (where experimental data are included in a theoretical model) are available from work by Chackerian and Tipping (1983)
, for example. For consistency and values that are as accurate as possible, results from ab initio calculations were used for both moment functions. Self-consistent field calculations predict the C+O- polarity (Szabo and Ostlund, 1989
), rather than the counterintuitive but experimentally verifiable C-O+ polarity (Meerts et al., 1977
; Muenter, 1975
). However, the polarity is correctly predicted by higher-level ab initio calculations. Here, we used the ab initio dipole and quadrupole moment functions of Maroulis (1996
, 2001
) calculated at the CCSD(T) level with a [6s4p4d2f] basis set designed for the calculation of electronic properties. The importance of allowing the dipole moment to vary becomes clear when one notes that the CCSD(T) dipole moment changes sign (i.e., the dipole reverses polarity) upon an increase in the bond length from equilibrium of 0.05 Å. In the following, a positive dipole moment indicates the polarity C-O+.
Fitting both moment functions simultaneously leads to a unique description of the site charges. The charge variations at the C and O sites were fitted to cubic functions, q = a0 + a1r + a2r2 + a3r3, where q is the charge in |e|, a0 to a3 are constants of the fit, and r is the CO bond length in Å. The charge at the center of mass was defined as the magnitude of the sum of the charges on C and O. The parameters of the fit are given in Table 1 and the fitted multipole moments are shown in Fig. 2. The quadrupole moment was evaluated at the center of mass, not at the bond center as was the case in the original potential (Straub and Karplus, 1991
). For the C-O stretching potential, the RRKR model from the original potential was retained (Straub and Karplus, 1991
) and the Lennard-Jones parameters for C and O are given in Table 2.
|
|
|
| RESULTS |
|---|
|
|
|---|
At 300 K, there is a single strong absorption occurring at
2183 cm-1. The effect of temperature is small, with the absorption shifting by 2 and 2.5 cm-1 to the blue at 50 and 10 K, respectively. The full width at half-maximum is 0.3 cm-1 at 300 K, and in all simulations a single, unsplit signal is observed. The absorption differs by
40 cm-1 from the experimentally observed value of 2143.3 cm-1 for gas phase 12CO (Ewing, 1962
).
An accurate fundamental excitation energy was calculated by solving the radial Schrödinger equation for the one-dimensional RRKR potential using the program LEVEL (Le Roy, 1996
). The lowest energy levels were found to be 1082.4 (
= 0, J = 0) and 3227.0 (
= 1, J = 0) cm-1 above the minimum of the potential energy curve, leading to an energy difference of 2144.6 cm-1. This is in almost perfect agreement with experiment. Thus the observed shift of 40 cm-1 with respect to experiment is due to the use of the dipole-dipole autocorrelation function to calculate the stretching frequency.
Calculations of the infrared spectrum of CO in photodissociated MbCO
The infrared spectrum of the photodissociated CO molecule was calculated using the dipole moment time series from the trajectories. Each spectrum was slightly different, reflecting the different distributions of the CO position. The infrared spectra obtained from the three trajectories and the average spectrum are shown in Fig. 3. A number of peaks can be seen at different positions between 2170 and 2200 cm-1.
|
The time evolution of the x, y, and z coordinates of the center of mass of the CO molecule is shown in Fig. 4 for the three trajectories, labeled A, B, and C. From this, the probability distribution of the center of mass of the CO molecule over the xy plane can be calculated. It is shown in Fig. 5 for the three trajectories. To construct the probability distribution, the entire protein was reoriented so that the least-squares plane containing the four nitrogen "gate" atoms lies in the xy plane, with the center of mass of the four nitrogen atoms placed at the origin. The orientation of the protein in the global reference frame is kept the same. Various features are marked by Roman numerals and will be described in more detail below.
|
|
It is also of interest to assess the convergence of the simulation results. In general, for long enough simulations, certain observables should become stationary. However, the behavior of individual infrared spectra is slightly different. If a peak in the infrared spectrum arises from a specific section of the trajectory, the feature will persist even when the trajectory is exploring additional parts of phase space, which may have a different characteristic spectrum. To investigate convergence, it is therefore useful to take the average of several infrared spectra. The average spectrum over the 1 ns trajectories (Fig. 3) shows two principal bands separated by
8 cm-1 with intensities approximately in the ratio 2:1. This is in good qualitative agreement with the experimental spectra of Lim et al. (1995b
, 1997
) and gives some confidence in the methods used. In the present case, the time range over which the average is taken is also important, since there are several processes occurring after the photodissociation of CO from Mb: docking, diffusion through the protein, and loss of the CO to the solvent. Only the first process is important during the 1 ns trajectories presented here, but if the trajectories are extended, diffusion through the protein environment may become important, which changes the nature of the infrared spectra. To understand the details of the spectra, we need to consider more closely the individual parts together with the detailed information available from the simulations.
Feature I: The docking site at the edge of the distal heme pocket
Feature I in Figs. 4 and 5 can be associated with CO sampling a position corresponding to the proposed docking site (Lim et al., 1995b
), a region between the heme plane and residues Leu29, Phe43, Val68, and Ile107 at the edge of the distal heme pocket. The time taken for the CO to reach this docking site after photodissociation varies considerably. CO is observed at this site 54, 10, and 0.5 ps after photodissociation for trajectories A, B, and C, respectively. This can be compared to the results from time-resolved infrared experiments, where the signal corresponding to CO in the docking site is first observed 0.2 ps after photodissociation. Evolution in the position and shape of the experimental peaks continues to occur over the first 10 ps after photodissociation. The data from our simulations are therefore consistent with the observed timescales.
In the simulations, the docking site occupies a region
2.9 Å from the heme normal and 3.5 Å from the heme plane, adjacent to the porphyrin c ring. This is slightly farther from the heme normal than was found in the x-ray studies of Schlichting et al. (1994)
(a distance of 1.9 Å) and Hartmann et al. (1996)
, and significantly farther away than that found by Teng,
rajer, and co-workers (
rajer et al., 1996
; Teng et al., 1994
) (who found a distance of 1.2 Å). The distance from the heme plane is in closer agreement with the x-ray structures, where the average distance was found to be between 2.8 and 3.1 Å. The MD simulations of Vitkup et al. (1997)
and of Meller and Elber (1998)
agree qualitatively with the x-ray studies, but a detailed comparison is difficult due to the different temperatures and timescales used.
Our results are consistent with these observations, since the observed peak in the probability distribution is large (the maximum probability occupies a circle of
1 Å radius). The probability distributions from our simulations are considerably broader than the distributions presented by Vitkup et al. (1997)
and more extended than the distributions from the calculations of Meller and Elber (1998)
. This is probably a consequence of using longer simulations. In addition, it can be seen from the time series presented in Fig. 4, as well as in the contour plots in Fig. 5, that the docking site can be more or less localized. In trajectory A, the CO is very localized (little variation in x, y, and z coordinates over significant time), whereas in trajectory C it is much more diffuse. The more delocalized CO position from trajectory C will give a mean CO position closer to the heme normal than the more localized position. How localized the CO is within the docking site will primarily depend on motions of the protein environment and will only become apparent from long simulations.
The infrared spectra of the CO molecule in the docking site were calculated from the dipole moment time series over the sections of the trajectory labeled I in Fig. 4 and are presented in Fig. 6. Each spectrum is slightly different, reflecting the different distributions of the CO position observed and described above. Two clear features can be observed in each spectrum, with a splitting of 37 cm-1. This is slightly smaller than the splitting of 10 cm-1 observed experimentally, but is of the correct order of magnitude. In the spectra calculated from trajectories B and C (where the docking site was observed to be slightly more diffuse), there is some evidence for a third peak; however, we will restrict our discussion to the two main peaks observed.
|
To test the hypothesis that the splitting of the infrared spectrum is due to two different orientations of the CO molecule within the binding site, the orientation of the CO molecule within the heme pocket was investigated. The orientation of the CO molecule can be described by the polar angles
and
as shown in Fig. 7. Fig. 8 illustrates the calculated probability distribution of
and
over region I from trajectory C (Fig. 4), corresponding to CO in the docking site at the edge of the distal heme pocket. The distribution in
is broad and slightly asymmetric, with a maximum at
110°. This corresponds to a CO molecule oriented almost parallel to the heme plane, in agreement with experimental results (Lim et al., 1995b
).
|
|
values is clearly bimodal, with maxima at
0 and 155° and minima at
±90°. The maxima correspond to a CO molecule lying approximately parallel to the x axis, with either the C or O atom toward the origin. The magnitude of the peak at ±180° is slightly greater than the magnitude at 0°, and this suggests a slight preference for the orientation with O toward the center of the heme. The free-energy profile, G(q), for a progression coordinate q (in this case q =
), can be estimated from a probability distribution P(q) using the relationship G(q) = -RT ln(P(q)) + G0, where R is the ideal gas constant, T is the temperature, and G0 is a constant (McQuarrie, 1976
) shown in Fig. 8, the free-energy barrier to rotation of CO parallel to the heme plane was found to be
0.9 kcal mol-1 for the transition 0°
155° and 1.2 kcal mol-1 for the reverse transition. The difference in free energy between the two orientations is
0.3 kcal mol-1, with the orientation
= 155° lower in free energy. This is in quantitative agreement with the experimental results of Lim et al. (1997)
Feature II: The central site
Feature II in Figs. 4 and 5 indicate that significant probability density occurs in a region
3 Å above the center of the heme. The CO occupies this central site for between 50 and 150 ps in each of the trajectories, with the CO molecule lying approximately parallel to the heme plane. It seems reasonable to suggest that rebinding of CO would occur from this site, were this possible in the current simulations.
The infrared spectrum of the CO molecule above the center of the heme was calculated using the dipole moment time series from region II in trajectory A (Fig. 4). Due to the rather short time interval available (100 ps), the resolution was quite poor (
0.66 cm-1) and a broad peak (full width at half-maximum
4 cm-1) centered at
2177 cm-1 was found (spectrum not shown).
The normalized probability distribution, P(x), of the x coordinate of the center of mass of CO was calculated from trajectory B by binning the time series x(t) from the entire trajectory as done for
and
in Fig. 7 (see above). The resulting probability distributions (not shown) exhibit two peaks, corresponding to the docking site and the site above the center of the heme. Using the relationship
as before, the free-energy barrier to motion along the x axis between the two sites was estimated to be 5.7 kcal mol-1 for the movement of the CO from the docking site to the central site and 1.3 kcal mol-1 for the reverse process. This energy barrier is in addition to any barrier that would eventually be present for the rebinding process, such as the movement of the iron atom toward the heme plane, and to barriers corresponding to motion in the y and z directions.
Feature III: Excursions of CO away from the central and docking sites
One other feature of note can be observed at the end of trajectory B, labeled III in Fig. 4. The distance between the CO and the heme plane increases significantly, to up to 67 Å, and the CO molecule leaves the docking site at the edge of the distal heme pocket. This corresponds to the CO entering the "xenon 4" cavity (see the solid arrow in Fig. 1), as has been observed by Ostermann et al. (2000)
and Scott et al. (2001)
. The xenon 4 cavity is a hydrophobic pocket adjacent to the heme binding pocket, lined by the residues Gly25, Ile28, Leu29, Gly65, Val68, Leu69, Leu72, Ile107, and Ile111, which was found to bind Xe atoms (Tilton et al., 1984
). The CO is then observed to return to the docking site. This only occurs once in all three trajectories, an observation consistent with the results of Elber and Karplus (1990)
, who found that the transitions of CO between cavities (heme pocket, xenon cavities) are rare events that are rapid and involve the crossing of barriers. The kinetic data of Ostermann et al. (2000)
suggests a rate constant of the order of milliseconds and barriers of between 2.7 and 5.4 kcal mol-1 for motion to and from this pocket in the mutant L29W. Further simulations would be required to investigate this behavior more fully. This also suggests that even longer simulations may reveal behavior that is not observable on the nanosecond timescale.
Comparison of the fluctuating charge model with the original fixed charge model
Three 1 ns trajectories using the initial Straub and Karplus model were calculated using identical initial conditions as for the trajectories presented above (see previous section) and the corresponding infrared spectra were obtained. Since the dipole moment time series is not directly available in simulations using this model, the infrared spectra were calculated from the C-O bond-length time series. Within this approach only the positions of the peaks are significant.
Infrared spectra from these simulations and the corresponding contour plots showing the distribution of the center of mass of the CO ligand are presented in Figs. 3 and 5. It can be seen from the contour plots that the behavior of the CO ligand is similar to that observed in the simulations using the three-point fluctuating charge model. The CO ligand is found to spend time in the center of the distal heme pocket (trajectories A and B), in the docking site at the side of the distal heme pocket (trajectories A and C), and also make a single short excursion toward the xenon 4 pocket (trajectory C). In this respect, the two charge models give similar results. However, the infrared spectra reveal differences. First, the infrared spectra calculated from the C-O bond time series span a wider range of frequencies (21652195 cm-1). The peaks are broad and coarse. In particular, the average spectrum is broad with many peaks, showing no clear splitting as was found with the three-point fluctuating charge model.
Further differences concern the orientation of the CO ligand within the docking site. The orientational angles
and
were calculated from trajectory C, where the CO was found to remain almost exclusively in the docking site at the edge of the distal heme pocket. The probability distribution of the angle
has a maximum at
120°, corresponding to a CO molecule that is not parallel to the heme plane. This is similar to the structure found in the x-ray structure of Teng et al.(1994)
and to one of the structures found in the MD simulations of Vitkup et al. (1997)
, who used a slightly different model for the CO ligand. The distribution function of the angle
shows weak maxima at 0° and 150°, but is quite flat when compared to the corresponding distribution function from the three-point fluctuating charge model. Using the relationship G(q) = -RT ln(P(q)) + G0 as before yields a free-energy difference between the two favored orientations of
0.3 kcal mol-1, in good agreement with experiment and with the result from the simulations presented above. However, the energy barriers between these orientations are much smaller, 0.14 and 0.45 kcal mol-1 for the 0°
150° and 150°
0° transitions, respectively. These are reductions of 85% and 60% compared to the values obtained from the fluctuating charge model. This may contribute to the fact that no obvious splitting of the infrared spectrum is found with the StraubKarplus model.
Effect of the L29F mutation
A 1 ns trajectory was calculated using the L29F mutant and the three-point fluctuating charge model. Five snapshots showing the configuration of the residues around the distal heme pocket during the nanosecond and the Fe-C and Fe-O distance time series are presented in Fig. 9. After dissociation, the CO molecule moves rapidly away from the distal heme pocket (within 20 ps) into a region corresponding to the xenon 4 pocket and remains there. This differs dramatically from the behavior in the native protein where the CO remains almost exclusively in the distal pocket, either in the docking site at the edge of the distal heme pocket or in the center of the pocket. The rapid escape of the CO after photodissociation agrees with the findings of recent experiments by Schotte et al. (2003)
and gives confidence in both the methods and the model used. More detailed studies of the processes after dissociation and the subsequent dynamics on an even longer timescale may give further insight into effects of mutations on the dynamics of CO.
|
The mean potential energy curve for each series of configurations was calculated, together with the mean and standard deviation over all 153 configurations. The energy of the CO within the protein varies considerably, with the mean energy at each C-O distance having a standard deviation of the order of 0.4 kcal mol-1 over the entire range of C-O bond distances. However, the mean potential energy curves from the individual trajectories are remarkably similar.
In Fig. 10, the shapes of the RRKR and the average MP2/cc-pVTZ potential energy curves are compared. For this, the positions of the minima of the two curves are superimposed (the minima are at r(C-0) = 1.128 Å and r(C-O) = 1.134 Å for the RRKR and the MP2/cc-pVTZ potentials, respectively). It can be seen that the MP2/cc-pVTZ potential energy curve agrees satisfactorily with the data from the RRKR potential although the deviation becomes greater at longer C-O bond lengths. This deviation significantly affects the vibrational energy levels, with the splitting between
= 0 and
= 1 calculated to be 2110 cm-1 for the MP2/cc-pVTZ potential energy curve, compared to 2144.6 cm-1 for the RRKR potential, using the LEVEL program as previously. The MP2/cc-pVTZ potential energy curve was, however, not used in calculations of the infrared spectrum. It can also be seen that, in general, the total energy of the CO molecule from the ab initio calculations is increased in magnitude by 0.30.5 kcal mol-1 upon moving from vacuum to the protein interior (see Fig. 10).
|
are calculated by QM/MM. The mean dipole moment of CO in the protein is enhanced by 0.04 a.u. over the free CO, with a considerable standard deviation (0.033 a.u.). This is shown in Fig. 11. The quadrupole moment is also enhanced, with a significant standard deviation. Thus, multipole moments of gas-phase CO are smaller than the corresponding values in the protein environment.
|
for the free CO into the CCSD(T)/6s4p4d2f values. The shift functions were quartic and quadratic functions for the dipole and quadrupole moments, respectively. They were applied to the curves describing the mean dipole and quadrupole moments of CO inside the protein. The resulting moment functions should then describe the mean CCSD(T) moments of a CO molecule inside the protein. The coefficients of the revised fit are given in Table 1. The original and revised charges are plotted in Fig. 12 as a function of bond distance. It can be seen that they are slightly different from the initial charges. The charge at the C atom is almost uniformly reduced in magnitude by 0.025|e| over the range fitted. The charge at the oxygen site is slightly reduced at short bond lengths, with virtually no change at longer bond lengths.
|
|
| CONCLUSIONS |
|---|
|
|
|---|
Three 1 ns molecular dynamics simulations of photodissociated MbCO were carried out using both the fluctuating charge model and the refitted charge model, and the results were analyzed. Three main features common to both models were observed:
2177 cm-1, shifted
6 cm-1 to the red of the free CO.
Comparison of the new three-point fluctuating charge model with the fixed charge model of Straub and Karplus (1991)
reveals both similarities and differences. Although the general observations remain unchanged compared to simulations with the fluctuating charge models, there are differences in the details. The barrier between the two possible orientations of the CO molecule within the docking site at the edge of the distal heme pocket is considerably smaller with the Straub-Karplus model than with the new fluctuating charge model. This is probably due to the different description of the electrostatics, which is important for describing the interactions of CO with the polar interior of the protein, and may be responsible for the lack of splitting in the CO infrared spectrum. The smaller forward (0.14 vs. 0.9 kcal/mol) and reverse (0.45 vs. 1.2 kcal/mol) barriers in the estimated free-energy profile G(q) give a flatter free-energy curve and allow for an almost unhindered rotation of the CO molecule. This is in contrast to the fluctuating charge model where the rotation of the CO is more strongly hindered (see Fig. 8). The present results suggest that this difference plays a role for the splitting of the infrared bands as the two bands originate from two orientations (Fe···CO and Fe···OC) of the CO molecule with respect to the Fe atom. Also, the fluctuating charge model allows for a coherent calculation of the infrared spectrum as the charge distributions used to describe the dynamics of the CO is the same as the dipole moment function from which the dipole time series is calculated. The Straub-Karplus model is a useful model for the investigation of the dissociation and the pocket dynamics. However, the present work suggests that for investigations of infrared spectra and other properties that depend sensitively on electrostatic interactions, a more detailed model (such as the three-point fluctuating charge model presented here) is preferred.
Environmental effects of the protein on the CO molecule were quantitatively assessed by static mixed QM/MM calculations. The shape of the CO stretching potential is somewhat altered around the minimum of the potential and the energetics vary by up to 1 kcal mol-1 while largely preserving its shape. Also, the dipole moment of CO is enhanced by
10% compared to the gas phase value whereas the functional form of µ(r) is essentially unchanged. Simulations with an accordingly modified fluctuating point charge model reveal some differences in the actual dynamics although on average the results of the two fluctuating charge models are comparable. The major remaining differences between the empirical and a fully quantum description of the interactions between CO and myoglobin are in the intermolecular CO potential. Because the CO potential does not change its shape appreciably, the associated forces remain mostly unchanged. Although the dynamics could be influenced by quantum effects, their magnitude is not large and lie within the intrinsic accuracy of ab initio methods (
1 kcal/mol).
The results show that an accurate description of the molecular charge distribution, together with long timescale MD simulations, give results in good agreement with experiment. In particular, the splitting of the infrared spectrum and the free-energy difference between the Fe···CO and Fe···OC conformations are correctly reproduced. Together with the detailed experimental results, this gives a consistent picture of CO dynamics within the primary binding site of Mb. Furthermore, preliminary investigations of the L29F mutant show that CO escapes the binding pocket on a picosecond timescale as was recently found in experiments.
| ACKNOWLEDGEMENTS |
|---|
|
|
|---|
Submitted on June 2, 2003; accepted for publication August 20, 2003.
| REFERENCES |
|---|
|
|
|---|
Amos, R. D., I. L. Alberts, J. S. Andrews, S. M. Colwell, N. C. Handy, D. Jayatilaka, P. J. Knowles, R. Kobayashi, K. E. Laidig, G. Laming, A. M. Lee, P. E. Maslen, C. W. Murray, J. E. Rice, E. D. Simandiras, A. J. Stone, M. D. Su, and D. J. Tozer. 1995. CADPAC: The Cambridge Analytic Derivatives Package Issue 6. University of Cambridge, Cambridge, UK.
Berne, B. J., and G. D. Harp. 1970. On the calculation of time correlation functions. Advan. Chem. Phys. 17:63227.
Brooks, B. R., R. E. Bruccoleri, B. D. Olafson, D. J. States, S. Swaminathan, and M. Karplus. 1983. CHARMM: a program for macromolecular energy, minimization and dynamics calculations. J. Comput. Chem. 4:187217.
Brooks, C. L., III, and M. Karplus. 1983. Deformable stochastic boundaries in molecular dynamics. J. Chem. Phys. 79:63126325.
Brucker, E. A., J. S. Olson, M. Ikeda-Saito, and G. N. Phillips, Jr. 1998. Nitric oxide myoglobin: crystal structure and analysis of ligand geometry. Proteins. 30:352356.[Medline]
Brunori, M. 2000. Structural dynamics of myoglobin. Biophys. Chem. 86:221230.[Medline]
Chackerian, C., Jr., and R. H. Tipping. 1983. Vibration-rotational and rotational intensities for CO isotopes. J. Mol. Spectrosc. 99:431449.
Elber, R., and M. Karplus. 1990. Enhanced sampling in molecular dynamics: use of the time-dependent Hartree approximation for a simulation of carbon monoxide diffusion through myoglobin. J. Am. Chem. Soc. 112:91619175.
Ewing, G. E. 1962. Infrared spectra of liquid and solid carbon monoxide. J. Chem. Phys. 37:22502256.
Field, M. J., P. A. Bash, and M. Karplus. 1990. A combined quantum mechanical and molecular mechanical potential for molecular dynamics simulations. J. Comput. Chem. 11:700733.
Fracassi, P. F., and R. G. Della Valle. 1984. Potential models and torsional stability in molecular crystals. Chem. Phys. Lett. 104:435439.
Frauenfelder, H., P. W. Fenimore, and B. H. McMahon. 2002. Hydration, slaving and protein function. Biophys. Chem. 98:3548.[Medline]
Frauenfelder, H., B. H. McMahon, R. H. Austin, K. Chu, and J. T. Groves. 2001. The role of structure, energy landscape, dynamics, and allostery in the enzymatic function of myoglobin. Proc. Natl. Acad. Sci. USA. 98:23702374.
Hartmann, H., S. Zinser, P. Komninos, R. T. Schneider, G. U. Nienhaus, and F. Parak. 1996. X-ray structure determination of a metastable state of carbonmonoxy myoglobin after photodissociation. Proc. Natl. Acad. Sci. USA. 93:70137016.
Harvey, J. N. 2000. DFT computation of the intrinsic barrier to CO geminate recombination with heme compounds. J. Am. Chem. Soc. 122:1240112402.
Huffaker, J. N. 1976a. Diatomic molecules as perturbed Morse oscillators. I. Energy levels. J. Chem. Phys. 64:31753181.
Huffaker, J. N. 1976b. Diatomic molecules as perturbed Morse oscillators. II. Extension to higher-order parameters. J. Chem. Phys. 64:45644570.
Jorgensen, W. L., J. Chandrasekhar, J. D. Madura, R. W. Impey, and M. L. Klein. 1983. Comparison of simple potential functions for simulating liquid water. J. Chem. Phys. 79:926935.
Kuczera, K., J. Kuriyan, and M. Karplus. 1990. Temperature-dependence of the structure and dynamics of myoglobina simulation approach. J. Mol. Biol. 213:351373.[Medline]
Kuriyan, J., S. Wilz, M. Karplus, and G. Petsko. 1986. X-ray structure and refinement of carbon-monoxy myoglobin at 1.5 Å resolution. J. Mol. Biol. 192:133154.[Medline]
Le Roy, R. J. 1996. Level 6.1: a computer program for solving the radial Schrödinger equation for bound and quasibound levels, and calculating various expectation values and matrix elements. In Chemical Physics Research Report CP-555R. University of Waterloo, Ontario, Canada.
Lim, M., T. A. Jackson, and P. A. Anfinrud. 1993. Nonexponential protein relaxation: dynamics of conformational change in myoglobin. Proc. Natl. Acad. Sci. USA. 90:58015804.
Lim, M., T. A. Jackson, and P. A. Anfinrud. 1995a. Binding of CO to myoglobin from a heme pocket docking site to form nearly linear Fe-C-O. Science. 269:962966.
Lim, M., T. A. Jackson, and P. A. Anfinrud. 1995b. Mid-infrared vibrational spectrum of CO after photodissociation from heme: evidence for a ligand docking site in the heme pocket of hemoglobin and myoglobin. J. Chem. Phys. 102:43554366.
Lim, M., T. A. Jackson, and P. A. Anfinrud. 1997. Ultrafast rotation and trapping of carbon monoxide dissociated from myoglobin. Nat. Struct. Biol. 4:209214.[Medline]
Luis, J. M., J. Martí, M. Duran, and J. L. Andrés. 1995. Systematic study of the static electrical properties of the CO moleculeinfluence of the basis-set size and correlation energy. J. Chem. Phys. 102:75737583.
Lyne, P. D., M. Hodoscek, and M. Karplus. 1999. A hybrid QM-MM potential employing Hartree-Fock or density functional methods in the quantum region. J. Phys. Chem. A. 103:34623471.
Ma, J., S. Huo, and J. E. Straub. 1997. Molecular dynamics simulation study of the B-states of solvated carbon monoxymyoglobin. J. Am. Chem. Soc. 119:25412551.
MacKerell, A. D., Jr., D. Bashford, M. Bellott, R. L. Dunbrack, Jr., J. D. Evanseck, M. J. Field, S. Fischer, J. Gao, H. Guo, S. Ha, D. Joseph-McCarthy, L. Kuchnir, K. Kuczera, F. T. K. Lau, C. Mattos, S. Michnick, T. Ngo, D. T. Nguyen, B. Prodhom, W. E. Reiher, III, B. Roux, M. Schlenkrich, J. C. Smith, R. Stote, J. Straub, M. Watanabe, J. Wiorkiewicz-Kuczera, D. Yin, and M. Karplus. 1998. All-atom empirical potential for molecular modeling and dynamics studies of proteins. J. Phys. Chem. B. 102:35863616.
Maroulis, G. 1996. Electric polarizability and hyperpolarizability of carbon monoxide. J. Phys. Chem. 100:1346613473.
Maroulis, G. 2001. Accurate higher electric multipole moments for carbon monoxide. Chem. Phys. Lett. 334:214219.
McMahon, B. H., B. P. Stojkovi
, J. P. Hay, R. L. Martin, and A. E. García. 2000. Microscopic model of carbon monoxide binding to myoglobin. J. Chem. Phys. 113:68316850.
McQuarrie, D. A. 1976. Statistical Mechanics. Harper and Row, New York.
Meerts, W. L., F. H. De Leeuw, and A. Dymanus. 1977. Electric and magnetic properties of carbon monoxide by molecular-beam electric-resonance spectroscopy. Chem. Phys. 22:319324.
Meller, J., and R. Elber. 1998. Computer simulations of carbon monoxide photodissociation in myoglobin: structural interpretation of the B states. Biophys. J. 74:789802.
Meuwly, M., O. Becker, R. Stote, and M. Karplus. 2002. NO rebinding to myoglobin: a reactive molecular dynamics study. Biophys. Chem. 98:183207.[Medline]
Muenter, J. S. 1975. Electric dipole moment of carbon monoxide. J. Mol. Spectrosc. 55:490491.
Nienhaus, K., D. C. Lamb, P. Deng, and G. U. Nienhaus. 2002. The effect of ligand dynamics on heme electronic transition band III in myoglobin. Biophys. J. 82:10591067.
Nienhaus, G. U., and K. Nienhaus. 2002. Infrared study of carbon monoxide migration among internal cavities of myoglobin mutant L29W. J. Biol. Phys. 28:163172.
Ostermann, A., R. Waschipky, F. G. Parak, and G. U. Nienhaus. 2000. Ligand binding and conformational motions in myoglobin. Nature. 404:205208.[Medline]
Roco, J. M. M., A. Medina, A. Calvo Hernanez, and S. Velasco. 1995. Far-infrared permanent and induced dipole absorption of diatomic molecules in rare gas fluids. 2. Application to the CO-Ar system. J. Chem. Phys. 103:91759186.
Sagnella, D. E., and J. E. Straub. 1999. A study of vibrational relaxation of B-state carbon monoxide in the heme pocket of photolyzed carboxymyoglobin. Biophys. J. 77:7084.
Schlichting, I., J. Berendzen, G. N. Phillips, Jr., and R. M. Sweet. 1994. Crystal structure of photolyzed carbonmonoxymyoglobin. Nature. 371:808812.[Medline]
Schotte, F., M. Lim, T. A. Jackson, A. V. Smirnov, J. Soman, J. S. Olson, G. N. Phillips, Jr., M. Wulff, and P. A. Anfinrud. 2003. Watching a protein as it functions with 150 ps time-resolved x-ray crystallography. Science. 300:19441947.