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* Instituto de Tecnologia Química e Biológica, Universidade Nova de Lisboa, 2781-901 Oeiras, Portugal; and
Technische Universität Berlin, Institut für Chemie, D-10623 Berlin, Germany
Correspondence: Address reprint requests to Peter Hildebrandt, Tel.: 493031421419; Fax: 493031421122; E-mail: hildebrandt{at}chem.tu-berlin.de; or Cláudio M. Soares, Tel.: 351214469610; Fax: 351214411277; E-mail: claudio{at}itqb.unl.pt.
| ABSTRACT |
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| INTRODUCTION |
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Other external factors are less well understood. This is particularly true for electric fields that are generated by potential gradients across membranes and by the local charge distribution on membrane surfaces or binding domains of partner proteins. Because biological redox reactions of heme proteins take place at or in membranes or in protein-protein complexes, deeper knowledge is desirable on how electric fields may affect redox potentials and the electron-transferring properties of heme proteins.
An attractive approach for studying such effects is based on self-assembled monolayers (SAM) of alkyl thiol derivatives carrying charged headgroups such as carboxylates to which proteins can be bound. These monolayers mimic some important features of biological interfaces and offer various possibilities for examining electric field effects on the immobilized proteins by experimental and theoretical methods. SAM-coated Ag or Au electrodes allow employing surface-enhanced resonance Raman (SERR) spectroscopy to probe the heme structure of the adsorbed proteins as a function of the electric-field strength that can be controlled by the thickness of the SAM, the kind of headgroups, and the electrode potential (Murgida and Hildebrandt, 2004
). This approach has been used to elucidate the electric-field dependence of the thermodynamics and kinetics of the interfacial (redox) reactions specifically of the soluble heme protein cytochrome c (Murgida and Hildebrandt, 2001a
,b
, 2004
) and has been extended, more recently, also to the membrane-bound heme enzyme cytochrome c oxidase (Friedrich et al., 2004
). In this respect, SERR spectroscopy is a particularly powerful technique because it allows correlating redox potential changes with alterations of the molecular structure of the heme site, thereby contributing to a description of the electric field effects on a molecular level.
Due to its regular structural organization, SAMs are also suitable for applying theoretical methods. Molecular dynamics (MD) simulation studies of redox proteins on SAMs of different types have been reported (Tobias et al., 1996
; Nordgren et al., 2002
; Zhou et al., 2004
). These studies aimed to understand the conformational behavior of cytochrome c on these interfaces. To our knowledge, an integrated study of redox proteins on SAMs with redox potential estimation has not yet been reported.
In this work, we present a combined theoretical and experimental study on the soluble tetraheme protein cytochrome c3 (Cyt-c3) using MD simulations and thermodynamic calculations as well as SERR spectroscopy. Type I Cyt-c3 (Valente et al., 2001
) is an attractive model protein because due to its relatively small size it is still treatable by time-consuming theoretical methods. Detailed theoretical investigations have been carried out to predict redox potentials and their coupling with internal acid-base equilibria for the protein in solution as well as bound to its partner protein (Baptista et al., 1999
; Martel et al., 1999
; Teixeira et al., 2002
, 2004
; Bento et al., 2004
). The docking site of Cyt-c3 for binding to its natural reaction partners is constituted by a well-defined cationic domain (Florens et al., 1995
; Matias et al., 1999
; Teixeira et al., 2004
) that ensures also an efficient binding to anionic SAMs in a largely uniform orientation as a prerequisite for SERR spectroscopic studies (Simaan et al., 2002
).
The objective of this work is to determine how the individual redox potentials of the four hemes of Cyt-c3 are affected upon binding to the SAM, and to assess the relevance of these effects for the natural redox processes.
| MATERIALS AND METHODS |
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RR and SERR spectroscopy
RR and SERR spectra were measured with 413-nm continuous-wave excitation using a Kr-ion laser (Coherent 302) with a power of
60 mW at the sample. The scattered light (90°) was focused onto the entrance slit of a double monochromator (ISA, U1000) working as a spectrograph and equipped with a liquid-nitrogen cooled CCD camera. The spectral bandwidth was 4 cm1 and the increment per data point 0.53 cm1. The total accumulation time of the spectra was between 5 and 30 s. After background subtraction the spectra were subjected to a component analysis in which complete spectra of the individual species are fitted to the measured spectra (Murgida and Hildebrandt, 2001a
). For SERR spectroscopic experiments a homebuilt rotating electrode was used. Before and during the SERR experiments, the electrochemical cell was purged by a continuous stream of catalytically purified oxygen-free Ar to remove oxygen from the solution. A detailed description of the electrochemical setup as well as of the protocol for preparing SER-active SAM-coated Ag electrodes is given elsewhere (Murgida and Hildebrandt, 2001a
,b
). Cyt-c3 was immobilized on the SAM-coated electrode from a diluted solution (107 M) at pH 7.0 in analogy to previous experiments with Cyt-c (Murgida and Hildebrandt, 2001a
,b
). All potentials cited in this work refer to normal hydrogen electrode. For RR experiments, the sample (105 M Cyt-c3) was deposited into a rotating cell to avoid laser-induced degradation of the protein. Solutions of the reduced protein were obtained by addition of dithionite to the deaerated sample.
Calculations of a self-assembled monolayer of 11-mercaptoundecanoic acid
A C11 SAM, composed of 512 molecules was generated using a geometric algorithm that distributes the molecules in vertices and centers in a squared grid. This algorithm allows implementation of periodic boundary conditions when required for the MD simulations. The maximum charge density on the SAM headgroups as estimated for C11 SAMs (Murgida and Hildebrandt, 2001a
) was used to calculate the size of the grid that corresponds to this charge density. The resulting square grid has sides with
100.3 Å in the x- and y-directions. The geometric algorithm places the position of the sulfur atom, whereas the aliphatic chain with its terminal carboxylate function is built up in z-direction. The metal surface is not modeled in the studies described in this work. Molecular topologies for protonated and deprotonated versions of C11 were constructed using standard GROMOS96 parameters (43A1 force field) (Scott et al., 1999
; Van Gunsteren et al., 1996
). To set up the SAM for the proton equilibrium calculations, only deprotonated C11 was considered and the energy of the system was minimized with GROMOS96 (Van Gunsteren et al., 1996
), using 2000 steps of the steepest descents method. In this calculation, electrostatic interactions were calculated using a modified version of the simulator implementing distance-dependent electrostatics (Solmajer and Mehler, 1991
). Continuum electrostatic and Monte Carlo (MC) simulations, as described below, were used to calculate the average proton population in each acidic group.
The proton population in the circular region of the grid is quite stable up to the edge zone of the grid (Fig. 1). Up to 30 Å it is almost constant and we considered this region for the estimation of the theoretical limit of an infinite grid. The pKa at pH 7 for this zone is 7.9, which compares reasonably with the pKa of 8.2 determined in previous experiments (Murgida and Hildebrandt, 2001b
). Therefore, the methodology is considered to simulate the titration process at the SAM well, and the results of these simulations were used for setting up a 512 C11 SAM with the correct proportion (453) of protonated groups. An exchange MC in the protonation/deprotonation space, considering periodic boundary conditions, was used to model the distribution of protonated/deprotonated groups. This MC method used an unshielded electrostatic potential and 0/1 charges placed in the position of the carboxylate carbon. For setting up the 512 SAM, the final configuration was taken after 40,000 MC steps.
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60 Å above the monolayer was considered to allow for the subsequent placement of the protein (see below). The final box dimensions were 100.3 x 100.3 x 75 Å. Fifty-nine sodium ions were added to balance the charge on the SAM, resulting in a system with 66,594 atoms. This system was simulated for 4 ns considering the C11 sulfur atom restrained using harmonic restrains of 105 kJ mol1 nm2, and the final configuration was used for docking Cyt-c3.
Simulation of cytochrome c3 in solution
The x-ray structure of Cyt-c3 from D. gigas (Matias et al., 1996
) was the starting point of this study. The bound calcium ion and internal water molecules were included, and the whole system was solvated in water in a rectangular box with 52.3 x 59.6 x 66.1 Å size. The topology of the hemes was made with GROMOS96 parameters (Scott et al., 1999
; Van Gunsteren et al., 1996
) and charges as specified before (Martel et al., 1999
). One sodium ion was added to balance the charge of the protein, resulting in a system with 20,144 atoms, which was simulated for 4 ns. The evolution of the root-mean-square (rms) deviation from the x-ray structure is shown in Fig. 2. The simulation of Cyt-c3 in solution is rapidly stabilized after
1 ns, such that we used the 2-ns structure to start the simulations on the C11 SAM.
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atoms and C11 sulfur atoms restrained. Subsequently, a production run of 4.5 ns was calculated, considering the C11 sulfur atom restrained using harmonic restrains of 105 kJ mol1 nm2.
Redox equilibrium calculations
Using a combination of continuum electrostatics and MC methods (vide infra), redox affinities of the different hemes of Cyt-c3 were estimated under the different simulation conditions. Our objective was to compare the redox potential that Cyt-c3 displays in solution with that of Cyt-c3 immobilized on the monolayer. We therefore selected conformations from the two MD simulations and applied the thermodynamic calculations, setting the pH to 7.0, and scanning the redox potential between 600 and 100 mV. From simulations of Cyt-c3 in solution we selected nine conformations from 2000 to 4000 ps at 250-ps intervals. For the Cyt-c3 on the C11 SAM, we selected nine conformations from 4500 to 6500 ps considering the timescale displayed in Fig. 2, using as well 250-ps intervals.
Molecular dynamics simulations
Although molecular topologies and several initialization procedures were carried out with the GROMOS96 package using the 43A1 force field (Scott et al., 1999
; Van Gunsteren et al., 1996
), MD simulations were run using the GROMACS 3.1.4 package (Lindahl et al., 2001
) after proper conversion. Simulations were run at constant volume and the temperature was maintained around 300 K by coupling the system to a heat bath (Berendsen et al., 1984
), with separate coupling of solutes and solvent and temperature coupling constants of 0.1 ps. The time step for the integration of equations of motion was 0.002 ps. A cutoff of 14 Å was used for van der Waals interactions and a smooth particle mesh Ewald method (Essmann et al., 1995
) was used for long-range electrostatic interactions from a 9-Å cutoff. Neighbor lists were updated every 10 steps. The LINCS algorithm (Hess et al., 1997
) was employed to keep all bonds at their equilibrium values and the SETTLE algorithm (Miyamoto and Kollman, 1992
) was used for keeping water molecules rigid.
Thermodynamic modeling of electron and proton titration
The study of the joint equilibrium thermodynamics of electron and proton binding at different pH values and redox potentials was performed following procedures described before (Baptista et al., 1999
; Baptista and Soares, 2001
; Teixeira et al., 2002
), using continuum electrostatics and MC methodologies. The continuum electrostatics methods were used to compute the individual and interaction terms of the binding free energy of electrons and protons (Baptista et al., 1999
; Teixeira et al., 2002
). These free-energy terms were then used in a MC method (Baptista et al., 1999
; Baptista and Soares, 2001
; Teixeira et al., 2002
) that samples the binding states. Binding free energies are calculated with the MEAD (version 2.2.0) package (Bashford, 1997
; Bashford and Gerwert, 1992
). The temperature and the ionic strength were 300 K and 6.25 mM, respectively, and the ion exclusion layer was set to 2.0 Å. The solvent probe radius was 1.4 Å. For the dielectric constant a value of 20 was used for the protein and the SAM and a value of 80 was taken for the solvent. These values were found to reproduce the pKa values of proteins more accurately (Baptista and Soares, 2001
). A three-step focusing procedure (Gilson et al., 1987
) was employed with the first step using a 100 x 100 x 100 Å point grids with 3.0-Å spacing, followed by two steps with 80 x 80 x 80 Å point grids using 1.0- and 0.25-Å spacing, respectively. The MC sampling of binding states was performed with the Proton and Electron Titration (PETIT) program (Baptista et al., 1999
; Baptista and Soares, 2001
). The number of MC steps was 105.
| RESULTS AND DISCUSSION |
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2 Å rms deviation). In general, the deviations are distributed over the entire protein, however, the C-terminal helix (in the lower left part of Fig. 3), which contacts the monolayer, is significantly displaced from its crystal structure position. The final snapshot of the simulation is represented in Fig. 3.
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20002500-ps simulation. This loss corresponds to 12% of the average total accessible surface determined in the simulation of Cyt-c3 in solution. This calculation does not consider the quite floppy interfacial water molecules, meaning that the true excluded surface is probably larger.
Electron affinity of the heme groups in cytochrome c3 in contact with the SAM
The main objective of these studies is to elucidate the consequences of Cyt-c3 immobilization on the SAM for the electron affinity of the heme groups. To compensate systematic errors associated with the theoretical methods, we focused on the binding-induced redox potential shifts obtained from the calculations for Cyt-c3 in solution and immobilized on the SAM. As shown in Fig. 4, the individual midpoint redox potentials vary considerably along the two trajectories. Association with the monolayer has dramatic consequences on the overall electron affinity of all hemes as reflected by the substantial decrease of the redox potentials. Furthermore, the differences between the redox potential of the individual hemes are also altered in the immobilized state as compared to the protein in solution. A more detailed picture is provided by averaging the titration curves (Fig. 5). The results show that heme IV experiences the largest shift (161 mV), followed by heme III (73 mV), heme II (57 mV), and finally heme I that shows only a relatively small shift (26 mV). The overall titration curve (Fig. 5) reveals a shift of 78 mV upon binding to the SAM.
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3; Fig. 6). These differences, however, are not sufficiently pronounced to disentangle the measured RR spectra in terms of individual component spectra. This conclusion also holds for the frequency region below 900 cm1 (data not shown), which is considered to be more sensitive toward alterations of the heme-protein interactions. Thus, the RR spectra of both the fully oxidized and fully reduced form of Cyt-c3 could be perfectly simulated by a single-component spectrum of an oxidized six-coordinated low spin (6cLS) and a reduced 6cLS configuration, respectively (Table 1). Furthermore, the spectral parameters of these component spectra were very similar for Cyt-c3 from D. gigas and D. vulgaris indicating that both proteins exhibit essentially the same heme structures.
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Quantitative analysis of the SERR spectra
The relative intensities, which are the amplitudes of the component spectra Ij, are related to the relative concentrations cj of the individual species j according to
![]() | (1) |
![]() | (2) |
Because redox-linked changes of the distance and orientation of the hemes with respect to the electrode can be ruled out, for each heme group the surface enhancement of the RR scattering is likely to be same in the ferric and the ferrous state. Thus, Eq. 2 holds for each of the four hemes. However, the surface enhancement is certainly different for the various hemes. According to the simulations (Fig. 3), hemes IV and I adopt an orientation perpendicular to the electrode surface such that for these groups the different surface enhancement is controlled by the distance to the metal surface, which is larger by
10 Å for heme I. This larger distance may account for an approximately five times weaker surface enhancement compared to heme IV as estimated from previous studies on cytochrome c (Murgida and Hildebrandt, 2001a
). Hemes II and III exhibit only a slightly larger distance than heme IV but their orientations are tilted or coplanar with respect to the surface, which is less favorable for the surface enhancement of the RR scattering as compared to the perpendicular orientation of the hemes I and IV (Moskovits, 1985
).
In a first approximation we therefore assume that: i), the surface enhancement for the hemes I, II, and III is the same, and ii), their spectral weight in the SERR spectra is comparable to that of heme IV. For a better comparison, one may multiply the intensities of the reduced forms RedA and RedB by R (Eq. 2) to obtain normalized spectral contributions for all spectroscopically distinguishable species according to
![]() | (3) |
Plotting these data as function of the electrode potential (Fig. 8) reveals that the spectral contribution of RedA comprises
60% at electrode potentials <0.4 V. Taking into account the estimated differential surface enhancement for the individual hemes, one may therefore assign spectral species RedA to the hemes I, II, and III, which are essentially fully reduced at such negative potentials. Then RedB is attributed to heme IV. This assignment is not unambiguous a priori but it is supported by the following arguments. First, the spectral parameters of the RedB reveal small but noticeable differences compared to those of ferrous Cyt-c3 in solution. These differences may reflect slight structural distortions or alterations of the vibrational energy levels brought about by the electric field in the SAM/protein interface and by protein conformational changes due to immobilization. MD simulations in fact reveal conformational perturbations that are found for the C-terminal helix in the vicinity of heme IV, which is in close contact with the negatively charged headgroups of the SAM (Fig. 3). Thus, slight changes of the spectral parameters are indeed expected for heme IV. Conversely, such effects should be much smaller for the more remote heme groups, which hence are attributed to that spectral form (RedA) that is very similar to the ferrous Cyt-c3 in solution. Second, the assignment of RedB to heme IV implies that this heme exhibits the most negative midpoint potential as it is predicted by the thermodynamic redox potential calculations (Fig. 5). On the other hand, the alternative assignment of RedA and RedB yields midpoint potentials (cf. Simaan et al., 2002
) that are in sharp contradiction with the calculations.
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![]() | (4) |
±30 mV) due to the low relative spectral contributions of this RedB component. For the same reason, the semilogarithmic Nernstian plots displays distinct deviations from the ideal slope corresponding to z = 1. On the basis of these fits, Eq. 4 is then used to calculate the contribution of the oxidized hemes I, II, and III, OxA, according to
![]() | (5) |
![]() | (6) |
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0.27 V is attributed to heme I. This potential corresponds to a slight positive potential shift but the discrepancy compared to the calculated small negative shift is within the accuracy of the experiments and the fitting analysis as well as of the calculations. On the basis of the redox potentials derived from the SERR spectroscopic data, the total (apparent) midpoint potential is calculated to be 0.34 V, which is
80 mV more negative than that derived from the experimental data in solution (Louro et al., 1998
80 mV (Fig. 5).
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III
II
IV in contrast to the sequence IV
I
III
II calculated for Cyt-c3 in solution. This latter order of reduction differs somewhat from the experimental data that has been determined to be IV
III
II
I (Louro et al., 1998Adopting the same strategy for assigning the redox potentials as in Cyt-c3 from D. gigas, also in the D. vulgaris protein the largest shift refers to heme IV. The magnitude of the shift (80 mV at pH 7.0) is two times smaller than for D. gigas. This difference may largely be attributed to the experimental and fitting errors.
Functional implications of electric-field-induced redox potential shifts
The redox potential shifts of Cyt-c3 that are induced by immobilization to the SAM are controlled by two opposing effects. Whereas the local electrostatic field of the charged headgroups causes a downshift, an incremental upshift of the redox potential results from the lowering of the dielectric constant in the surrounding of the binding domain of the immobilized protein as compared to the protein in aqueous solution. For Cyt-c3 immobilized at pH 7.0, the magnitude of this latter effect is distinctly smaller than the electric-field-induced shift but it gains importance when the charge density in the SAM/protein interface decreases. Thus, one may conclude that the interplay of surface charges and low dielectric constant may allow a fine tuning of the redox potential of the immobilized protein.
The experimental data obtained by the SERRS experiments refer to SAMs coated on an Ag electrode such that the local electric field experienced by the immobilized protein does not only include the contribution from the charges of the SAM headgroups but also of the interfacial potential drop, which can be regarded as the analog to the potential difference across a biomembrane. This latter contribution is not considered in the calculations. It is expected to be relatively small at high surface charge densities and in fact, the good agreement between calculated and experimental redox potential shifts for Cyt-c3 from D. gigas at pH 7.0 supports this conclusion. Thus, electric-field-induced shifts of the redox potentials are not necessarily restricted to proteins bound to membranes but may also occur in electrostatic complexes with partner proteins. Natural redox partners of Cyt-c3 such as [NiFe]-hydrogenase (Matias et al., 2001
), the nine heme cytochrome c 9Hcc (Matias et al., 1999
), [Fe]-hydrogenase (El Antak et al., 2003
), and type II Cyt-c3 (Teixeira et al., 2004
) exhibit negatively charged and concavely shaped binding domains that provide charge and structure complementarity for positively charged and convex binding domains of the type I Cyt-c3. In fact, MD simulations and thermodynamic calculations of such a protein-protein complex (Teixeira et al., 2004
), i.e., type I and type II Cyt-c3 from D. vulgaris, have demonstrated negative redox potential shifts specifically of the hemes of the type I Cyt-c3. The largest shift is found for heme IV (80 mV) whereas the shifts of the redox potentials of the other hemes are much smaller. Most remarkable, these results agree also quantitatively very well with the potentials obtained for the type I Cyt-c3 from D. vulgaris immobilized on the SAM-coated electrode.
| ACKNOWLEDGEMENTS |
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The work was supported by grants from the Fundação para a Ciência e Tecnologia (POCTI/2001/QUI/43323 and POCTI/BME/32789/99) and the Deutsche Forschungsgemeinschaft (Sfb498, A8). R.E.D.P. acknowledges grant BPD/14414/2003 from FCT/Portugal.
Submitted on November 29, 2004; accepted for publication February 23, 2005.
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