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* Swammerdam Institute for Life Sciences, and
van 't Hoff Institute of Molecular Sciences, University of Amsterdam, Amsterdam, The Netherlands
Correspondence: Address reprint requests to Peter Bolhuis, Tel.: 0-20-525-6447; E-mail: bolhuis{at}science.uva.nl.
| ABSTRACT |
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-helical structure occurs, caused by the opening motion of the chromophore-binding pocket and the disruptive interaction of the negatively charged Glu46 with the backbone atoms in the hydrophobic core of the N-terminal cap. Recent NMR experiments agree very well with these predictions. | INTRODUCTION |
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The proton transfer renders the protein metastable by leaving a negative charge at Glu46 and disrupting the stabilizing hydrogen-bonding network. The protonation of the chromophore is therefore also the trigger for the formation of pB, a process that occurs on a millisecond timescale (Hoff et al., 1994
). The formation of pB is linked to large conformational rearrangements throughout the protein (Salamon et al., 1995
; Hoff et al., 1999
), sometimes even referred to as partial unfolding of the protein (van Brederode et al., 1996
; Lee et al., 2001b
). The observation that pB is the longest living state in the photocycle has led to the hypothesis that pB is, in fact, the signaling state of PYP (Hoff et al., 1994
). The return to the ground state, completing the photocycle, is a subsecond process and includes the deprotonation and cis to trans re-isomerization of the chromophore.
Fig. 2 visualizes the chemical structure of the chromophore-binding pocket in the three states described above. In pG the chromophore is in a trans configuration, deprotonated, and hydrogen-bonded to the protonated Glu46. This hydrogen bond is retained in the pB' configuration, whereas the proton on Glu46 has transferred to the chromophore in cis-configuration (Chen et al., 2003
). The pB state has the same chemical structure, except for the disrupted hydrogen bond between the chromophore and Glu46. The hydrogen bond between the chromophore carbonyl oxygen and the protein backbone is disrupted in pB' and reformed in pB (Pan et al., 2004
).
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Time-resolved crystallography on constantly illuminated crystals provided the first three-dimensional model of pB (Genick et al., 1997
). In contrast to the results described above, this structure only shows differences in side-chain orientation in the chromophore binding pocket. More recent results imply, however, that the conformational changes occur throughout the protein (Schmidt et al., 2004
; Ren et al., 2001
). NMR spectroscopy indicated that the formation of a buried negative charge on Glu46 drives the conformational changes in the protein (Craven et al., 2000
; Derix et al., 2003
).
Molecular simulation methods, such as molecular dynamics (MD), can, in principle, provide a complementary atomistic picture of the changes occurring in PYP during its photocycle. For instance, by employing a combination of quantum mechanical and molecular mechanical calculations Groenhof and co-workers recently proposed a model describing the initial events, including the excitation and subsequent rearrangements (Groenhof et al., 2004
). Groenhof and co-workers also used parameters from semi-empirical calculations for a protonated chromophore (Groenhof et al., 2002b
), embedded in an equilibrated protein structure, to show initial rearrangements in the chromophore binding pocket and the N-terminal domain (Groenhof et al., 2002a
). The proton transfer from Glu46 to the chromophore is assigned as the trigger for the conformational change to pB (Groenhof et al., 2002a
). Simulation data on wild-type PYP and a mutant E46Q further elucidate this trigger as the weakening of the hydrogen bond between the chromophore and Glu46 (Antes et al., 2002
).
In the first attempt to model the signaling state pB using MD, the ground-state chromophore vinyl bond was replaced with a single bond potential, to allow for faster rearrangements (van Aalten et al., 1998
). In another simulation study starting from the crystal structure obtained from illuminated crystals, water molecules enter the chromophore binding pocket and hydrate Glu46 (Shiozawa et al., 2001
). Both simulations show a slow drift away from the original crystal structure. Unfortunately, conventional MD is limited to relatively small timescales in the order of nanoseconds, whereas the formation of pB from pB' is a millisecond process.
A recent study therefore used a coarse-grained Hamiltonian, which resulted in a description of pB as partially unfolded states stabilized by conformational entropy in the N-terminal domain and vibrational entropy around the chromophore (Itoh and Sasai, 2004
). A disadvantage of using such coarse-grained models is that these are not able to resolve the atomic structure of the pB state. In conclusion, although previous studies investigated the initial conditions for pB formation, the extent of the conformational rearrangements, and the actual solution structure of pB, are still unknown.
The long timescales involved in the formation of pB are partly caused by free energy barriers between the several metastable states. One way to overcome the trapping of biomolecular systems in local minima between these barriers is to perform parallel tempering (PT) simulations (Swendsen and Wang, 1986
; Marinari and Parisi, 1992
; Sugita and Okamoto, 1999
). The PT method, also known as replica exchange, combines multiple molecular dynamics simulations with a temperature-exchange Monte Carlo process (Frenkel and Smit, 2002
). The method has been proved useful in folding/unfolding studies on peptides, including
-helices (Nymeyer and García, 2003
), a ß-hairpin (Zhou, 2004
; García and Sanbonmatsu, 2001
), protein A (García and Onuchic, 2003
), and Trp-cage (Zhou, 2004
; Yang et al., 2004
). In this work we employ the parallel tempering technique to overcome the free energy barriers for the formation of pB and study the conformational differences between the receptor and signaling states of PYP.
| METHODS |
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Polar and aromatic hydrogen atoms were added to all four starting structures, taking into account the correct protonation state of Glu46 and the chromophore. Aliphatic groups were included as heavy carbon atoms (united-atom model). Subsequently, the protein configurations were placed in a periodic dodecahedral box, and immersed in SPC water (Berendsen et al., 1981
). The box size included the protein and a radius of 1.5 nm around it. Water molecules that overlapped with the protein or resided in internal hydrophobic cavities were removed. Six water molecules at the most electronegative positions were replaced by sodium ions to neutralize the charge of 6 on the protein. Next, the four systems were energy-minimized using 200 steps of the conjugate gradient method (Lindahl et al., 2001
), and equilibrated to dissipate excess energy and relax the box volume. Positions of the water molecules and the hydrogens were relaxed for 10 ps, followed by 100 ps of equilibration of the whole system in the NpT ensemble. The GROMOS96 force field was used to describe the bonded interactions between the atoms (van Gunsteren and Berendsen, 1987
; van Buuren et al., 1993
; Mark et al., 1994
). Van der Waals interactions were treated with a cutoff (Lindahl et al., 2001
) of 1.4 nm, and particle-mesh Ewald handled the long-range electrostatics (Lindahl et al., 2001
). Using constraints, LINCS for interactions between protein atoms (Hess et al., 1997
) and SETTLE for water interactions (Miyamoto and Kollman, 1997
), allowed a time step of 2 fs. Parameters for the chromophore were taken from Groenhof et al. (2002a)
. Prepared as such, the systems were used as input for the PT simulations.
The GROMACS software package was used for equilibration and parallel tempering, in combination with a PERL script that performed the temperature swaps. Every 1 ps, attempts to exchange temperatures between systems were made. The Berendsen thermostat (Berendsen et al., 1984
), with a coupling constant of 0.1 ps, allowed fast adaptation of the systems to temperatures ranging from 280 K to 640 K. Although the Nosé-Hoover algorithm is, in principle, the correct thermostat in constant temperature simulations, we found it adjusted too slowly to equilibrate within 1 ps. However, it not likely that changing the thermostat will alter the qualitative results in this work.
Coordinates before every temperature-swapping attempt were written out and used for subsequent analysis. The simulations were performed on a homebuilt Beowulf cluster, using 32 AMD processors, each running two replicas simultaneously. The temperatures for the xtal simulations ranged from 283 K to 630 K. In the NMR simulations the temperatures were set between 300 K and 560 K for both the pG and pB' simulations. The temperatures in the pB parallel tempering run varied between 282 K and 645 K. The temperature gap was initially estimated by a linear dependence on the inverse temperature, and turned out afterward to give rise to a reasonably uniform acceptance ratio of
30%, around the entire temperature domain. After a 2 ns equilibration period, the five independent parallel tempering runs were continued for on average 810ns, amounting to a total simulation time of 64 x 10 x 5
3200 ns.
Various analysis tools included in the GROMACS molecular dynamics package were used here to calculate fluctuations and several order parameters: the distance between the centers of mass between two groups, the number of hydrogen bonds, and the radius of gyration (Lindahl et al., 2001
). To analyze the extent of solvation in a protein region we subtracted the number of solvent-protein hydrogen bonds (Nproteinsolvent) from (two times) the intraprotein hydrogen bonds (Nproteinprotein) to obtain the hydrogen-bond difference parameter:
![]() | (1) |
This parameter is positive when the protein is not solvated and becomes negative when more water enters the protein region included in the analysis, replacing the intraprotein hydrogen bonds. A donor-acceptor distance <0.35 nm and a donor-hydrogen-acceptor angle of <60° defined a hydrogen bond. The number of water molecules surrounding a residue and visual inspection in VMD (Humphrey et al., 1996
) were also part of the analysis. Free energy landscapes or profiles as a function of (a combination of) the above order parameters can give insight into the (meta)stability of PYP. They can be computed by taking the negative natural logarithm of one- or two-dimensional probability histograms, which result from the sampling of the order parameters at a fixed temperature during the course of a PT simulation.
| RESULTS |
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Fig. 3 shows the root mean square fluctuation in the atomic displacements as a function of the residue number. The values are averaged over all atoms in each residue. The error bars indicate the variance of the fluctuations using simulation blocks of 1 ns. The peaks in the graphs correspond to loops in the protein structure, whereas the stable parts (below 0.2 nm) correspond to strands of the central ß-sheet. With the increase of temperature, the fluctuations in the flexible loops increase also, whereas the ß-strands fluctuate at a value of
0.2 nm. Additional fluctuation peaks arise around residues in the chromophore binding pocket (CBP), in particular for residues 4252, 6872, and 96100. The first two stretches are part of a helical structure, and the last stretch is a loop connecting two ß-strands. Higher temperatures cause larger fluctuations in these parts of the protein. The N-terminal domain shows large fluctuations of 0.51.0 nm for the first two residues, independent of temperature and starting configuration. Regarding the secondary structure in the N-terminal domain, as assigned on basis of the structural elements in the ground-state crystal structure (Borgstahl et al., 1995
), the first helix (residues 1115) is more stable than the second (residues 1923). In the NMR simulations of pG and pB the difference in fluctuation between the first and the second helices is
0.2 nm, and at higher temperatures this difference is more pronounced. Unfortunately, the fluctuation graphs do not provide detailed atomistic information on the rearrangements in either the chromophore-binding pocket or the N-terminal domain.
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200 kJ/mol higher for the NMR-based simulations than for the crystal-based simulations.
Focusing on the rearrangements taking place in the chromophore binding pocket, Fig. 4 shows the time evolution of the two-dimensional free energy diagrams of the NMR-based pB' simulation as a function of the distance dHC4Glu46 between the centers of mass of the phenol(ate) ring of the chromophore and the side chain of Glu46, and the hydrogen-bond difference
CBP in the CBP (for a definition of
, see Methods). Included as part of the hydrogen-binding pocket are Tyr42, Glu46, Thr50, Cys69, Phe96, Met100, and the chromophore itself. The values of
CBP range from +14 in the crystal structure to 24 in the completely solvated pB conformation. The first frame in Fig. 4 shows the profile for a chromophore that is buried in the protein and participates in a hydrogen-bonding network formed by Tyr42, Glu46, and Thr52. Here, the free energy minimum lies at a Glu46-chromophore distance of 0.63 nm and a hydrogen-bond difference of
CBP = 5. The subsequent time frames show a consistent shift of the sampling toward an increasingly negative value for
CBP, combined with a larger distance between Glu46 and the chromophore dHC4Glu46. A new minimum appears at dHC4Glu46 = 1.64 nm and
CBP = 2, in a region that has fewer intra-CBP-hydrogen bonds and a larger distance between the chromophore and Glu46. Visual inspection shows that the negative charge on Glu46 destabilizes the hydrogen-bonded connections and causes the intrusion of water molecules in the protein interior, as indicated by the increasingly negative value for
CBP. Ultimately, Glu46 breaks loose from the hydrogen-bonding network and becomes exposed to solvent. During the solvent exposure of the chromophore a hydrogen bond forms between the backbone amide of Cys69 and the carbonyl oxygen on the chromophore, stabilizing the solvent-oriented conformation. This bond is absent while the chromophore is still buried in the protein.
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500 K clearly show. The regions sampled in the pG simulation and in the pB' simulation are similar and show minima at dHC4Glu46 = 0.63 nm and
CBP = 5. In both the pG and the pB' states the hydrogen-bonding network fluctuates between a tightly connected and a more loose structure. The free energy profile of pG at 310 K shows a high barrier that separates a state where the chromophore-Glu46 distance is 1.63 nm at the most, from a state where this distance has a value of 2.19 nm, thus stabilizing the ground state. This free energy barrier disappears at higher temperatures. No barriers larger than a few kBT are present in the free energy profiles of pB' at 310 K, and of pB at 301 K, suggesting these states are much less stable. The pB state at 301 K has a different profile in comparison to the pB' simulation with a second minimum at dHC4Glu46 = 1.78 nm and
CBP = 3. At 416 K the free energy profile of pB extends into two directions; one is a return to the region also sampled by the pB' simulation, with a small dHC4Glu46 value and
CBP larger than zero, the other samples chromophore-Glu46 distances of above 3 nm and values for
CBP that indicate that solvent molecules entered into almost all CBP protein-protein hydrogen bonds.
Fig. 6 displays the free energy profiles for the pG and pB simulations initiated from a crystal structure. The profile for the pG state at 302 K shows similar states to those in the profile of the pG NMR simulation at 310 K. The barrier separating the states is less high, and the free energy profile is shallower. At 505 K the sampled region extends to values >3.4 nm. Extension of the PT simulation temperature range to higher temperatures, which may be the cause for these differences with regard to the NMR simulation of pG. The pB xtal simulation seems to be in a state that lies between the states sampled in the pB' and pB NMR simulations. At a temperature of 302 K two states occur, at dHC4Glu46 = 1.15 nm and
CBP = 2 and at dHC4Glu46 = 2.20 nm and
CBP = 15. The former is more similar to the pB' NMR simulation and contains a buried chromophore and Glu46, whereas the latter is closer to the NMR-based pB results, with the chromophore and Glu46 exposed to solvent. At higher temperatures both the free energy profiles resemble those sampled for pB in the NMR simulation.
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-helices than the NMR experimental solution structure predicts. One measure for unfolding is the radius of gyration Rgyr of the hydrophobic core. Three phenylalanine residues at positions 6, 28, and 112 make up the hydrophobic core in the N-terminal domain. A second order parameter for unfolding is the hydrogen-bond difference
Nterm in the helical residues in the N-terminal cap, measuring the solvent exposure. Since some helical residues are always solvent-exposed,
Nterm has more negative values in comparison to
CBP, ranging from
Nterm = 11 for the crystal structure to
Nterm = 40 for complete solvation. Fig. 7 top shows the free energy profiles for the N-terminal domain for the NMR-based pG and pB PT simulations, whereas Fig. 7 bottom shows those for the crystal-based simulations. The conformations sampled for the N-terminal cap at
300 K in the pG simulations have a minimum at (Rgyr = 0.50 nm,
Nterm = 16) for the NMR simulation and at (Rgyr = 0.45 nm,
Nterm = 5) for the crystal simulation. The values for
Nterm differ significantly, relating to the fluctuating N-terminal helices in the NMR simulation and the well-defined helical structures in the xtal simulation. The free energy profile of the pG crystal simulation shows a second minimum at Rgyr = 0. 75 nm and
Nterm = 25, closely resembling a similar state in the NMR-pG simulation. The large values for the radius of gyration in this state indicate that expansion of the hydrophobic core is closely linked to loss of
-helical structure. At higher temperatures, the free energy profiles of both pG simulations are similar.
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Nterm varies widely, from 5 to 30, unrelated to the core compactness. In contrast, the pB-NMR simulation free energy profile has an minimum at Rgyr = 0.60 nm with few intraprotein hydrogen bonds, since
Nterm varies between 18 and 27. Separated by a barrier, a second minimum at Rgyr = 0.80 nm and less negative values for
Nterm occur, and this also appears in the pG simulations. A third state, at (Rgyr = 1.00 nm,
Nterm = 20), represents a widely expanded hydrophobic core with few
-helical hydrogen bonds. At higher temperatures the barrier separating these states decreases to a few kBT and eventually disappears at 510 K. | DISCUSSION |
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In our PT simulations, different initial starting structures do not result in different time-averaged fluctuation profiles, as illustrated in Fig. 3. The average fluctuation per residue does not differ significantly for simulations based on coordinates from x-ray diffraction experiments or NMR spectroscopy. Looking in more detail at the chromophore binding pocket (Figs. 5 and 6), a similar picture emerges: loss of structure, exposure of protein interior, and the intrusion of water molecules in the protein core occur at a similar level in simulations that were initiated from different starting structures. However, there is an exception, related to a topic of debate in the literature: the role and extent of unfolding of the N-terminal cap. In the crystal simulations the N-terminal domain is more compact, with clearly defined helices, whereas in the NMR simulations it shows a looser conformation in which water molecules can enter more easily. The latter conformation agrees with the observation that the interaction energy between water molecules and the protein is higher in the NMR simulations than for the xtal simulations. At higher temperatures, the crystal simulations also visit the looser conformation. The structure of the N-terminal domain in crystal structures may represent a conformation, induced by crystal contacts, which is packed too tightly to represent the protein in an aqueous environment, in agreement with the crystallographic work on a mutant, E46Q, of PYP (Rajagopal et al., 2005
; Anderson et al., 2004
).
The fluctuations shown in Fig. 3 indicate that the second N-terminal helix is less well defined in comparison to the first. Residues 1115 have in each PT simulation lower average fluctuations than residues 1923. Imamoto et al. (2002a)
find that the removal of the second helix does not affect the change in radius of gyration of the protein when exposed to light, whereas the removal of the first helix induces an increase in volume during the photocycle (Imamoto et al., 2002b
). Moreover, removing the first helix also affects this structural change (Harigai et al., 2003
). These observations agree well with the explanation that the second
-helix in the N-terminal domain fluctuates between two configurationsa well-structured, helical form and a disordered, looplike form. Both occur in our simulations of the receptor and the signaling state, although in the latter only at higher temperatures for the crystal simulations. The first
-helix in the N-terminal cap is ordered in the pG state, but loses structure, and suffers water intrusion upon solvent exposure of the chromophore.
Figs. 5 and 6 lead to the conclusion that a different chemical composition (pG versus pB' or pB) of the chromophore-binding pocket leads to a different free energy profile. If the temperature is sufficiently high, water molecules enter the binding pocket and disrupt its integrity regardless of its state. The location of the negative charge determines the mechanism of CBP-disruption. In the receptor state pG, the chromophore contains a negative charge, delocalized over its whole length. A strong interaction exists between the chromophore and the positively charged Arg52, the latter being in contact with solvent molecules. A fluctuation causing Arg52 to move more toward the solvent leaves the chromophore prone to solvent exposure. Balancing the favorable interaction with solvent are surrounding residues that contribute to a hydrogen-bonding network that further stabilizes the negative charge on the chromophore. When these connections inside the CBP are broken at high temperature, the chromophore shifts toward the solvent and disrupts the chromophore-binding pocket.
In the case of the signaling state pB, the negative charge is located at Glu46 and localized over a smaller set of atoms in comparison to the chromophore. This has two consequences with regard to the CBP-disruption mechanism: first, the negatively charged Glu46 destabilizes the hydrogen-bonding network inside the protein and allows water molecules to access the protein interior and second, the interaction between Arg52 and the chromophore has become less favorable. Consequently, the sequence of events has reversed in the signaling state with respect to the receptor state; first Glu46 becomes solvent-exposed, followed by emergence of the chromophore into the solvent. The final situation in both the pG and pB states is the same, as depicted in Fig. 8: a huge disruption of the chromophore-binding pocket, resulting in loss of
-helical content, in agreement with literature. Of course, the most important difference is that at room temperature the CBP disruption in receptor state pG is much more unlikely than in the pB state, as is found in experiments.
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-helical structure in the first and last helices in the PAS-core. Glu46 interacts with the N-terminal cap, causing conformational instabilities in the N-terminal hydrophobic core and
-helices. Fig. 8 summarizes these observations and shows the crystal structure of the receptor state next to a typical room temperature conformation of the signaling state. Recent results from NMR experiments on a truncated form of PYP, where removal of the N-terminal cap has led to a extended pB lifetime, agree very well with our prediction (C. Bernard, K. Houben, N. Derix, D. Marks, M. van der Horst, K. Hellingwerf, R. Boelens, R. Kaptein, and N. van Nuland, unpublished results). In this work, chromophore protonation occurred through removal of the proton at Glu46 to place it at the chromophore, neglecting energetic considerations, such as whether the protein environment had assumed a configuration favorable for proton transfer. Although a mechanism involving a direct proton transfer mechanism from Glu46 to the chromophore is certainly possible, this manual transfer is probably too crude to describe the change of protonation states in the chromophore-binding pocket. Our PT results indicate that the proton transfer in PYP during its photocycle might actually be more complicated, involving solvent intermediates. The reverse reaction, relevant for the recovery of the receptor state, may also include multiple pathways.
We should stress that the parallel tempering simulations, although expanding the exploration of the PYP conformation space, are still not completely converged. The complete equilibration of all states requires that each replica makes many trips from the lowest to the highest temperature, which might take a multiple amount of the simulation time yet invested. The GROMACS force field might also have deficiencies and underestimate the stability of partially unfolded protein structures. An exhaustive comparison between different force fields is beyond the scope of this work. However, despite all this, we believe that the qualitative results obtained in this work are reproducible, and that the main conclusions are warranted.
| CONCLUSION |
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Future simulation work will focus on the recovery reaction from the signaling state to the ground state, thus completing a theoretical model description of the photocycle.
The PT has proved very powerful in sampling rugged energy landscapes such as occur in protein conformational transitions. However, the technique cannot give detailed information of the kinetics of the conformation transitions. In the near future we will employ other advanced simulation techniques such as transition path sampling and related techniques to access the relevant kinetic information in PYP (Bolhuis, 2005
).
Submitted on October 26, 2004; accepted for publication February 8, 2005.
| REFERENCES |
|---|
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Antes, I., W. Thiel, and W. F. van Gunsteren. 2002. Molecular dynamics simulations of photoactive yellow protein (PYP) in three states of its photocycle: a comparison with x-ray and NMR data and analysis of the effects of Glu46 deprotonation and mutation. Eur. Biophys. J. 31:504520.[CrossRef][Medline]
Berendsen, H., J. Postma, W. van Gunsteren, A. DiNola, and J. Haak. 1984. Molecular dynamics with coupling to an external bath. J. Chem. Phys. 81:36843690.[CrossRef]
Berendsen, H. J. C., J. P. M. Postma, W. F. van Gunsteren, and J. Hermans, editors. 1981. Pullman intermolecular forces. In Interaction Models for Water in Relation to Protein Hydration. D. Reidel Publishing, Dordrecht, The Netherlands. 331342.
Bolhuis, P. G. 2005. Kinetic pathways of ß-hairpin (un)folding in explicit solvent. Biophys. J. 88:5061.
Borgstahl, G. E. O., D. R. Williams, and E. D. Getzoff. 1995. 1.4 Ångstrom structure of photoactive yellow protein, a cytosolic photoreceptorunusual fold, active-site, and chromophore. Biochemistry. 34:62786287.[CrossRef][Medline]
Chen, E. F., T. Gensch, A. B. Gross, J. Hendriks, K. J. Hellingwerf, and D. S. Kliger. 2003. Dynamics of protein and chromophore structural changes in the photocycle of photoactive yellow protein monitored by time-resolved optical rotatory dispersion. Biochemistry. 42:20622071.[CrossRef][Medline]
Craven, C. J., N. M. Derix, J. Hendriks, R. Boelens, K. J. Hellingwerf, and R. Kaptein. 2000. Probing the nature of the blue-shifted intermediate of photoactive yellow protein in isolation by NMR: hydrogen-deuterium exchange data and pH studies. Biochemistry. 39:1439214399.[CrossRef][Medline]
Derix, N. M., R. W. Wechselberger, M. A. van der Horst, K. J. Hellingwerf, R. Boelens, R. Kaptein, and N. A. J. van Nuland. 2003. Lack of negative charge in the E46Q mutant of photoactive yellow protein prevents partial unfolding of the blue-shifted intermediate. Biochemistry. 42:1450114506.[CrossRef][Medline]
Dux, P., G. Rubinstenn, G. W. Vuister, R. Boelens, F. A. A. Mulder, K. Hard, W. D. Hoff, A. R. Kroon, W. Crielaard, K. J. Hellingwerf, and R. Kaptein. 1998. Solution structure and backbone dynamics of the photoactive yellow protein. Biochemistry. 37:1268912699.[CrossRef][Medline]
Fan, H., and A. E. Mark. 2004. Relative stability of protein structures determined by x-ray crystallography or NMR spectroscopy: a molecular dynamics simulation study. Proteins. 53:111120.[CrossRef]
Frenkel, D., and B. Smit. 2002. Understanding Molecular Simulation. From Algorithms to Applications, 2nd Ed. Academic Press, New York.
García, A. E., and J. N. Onuchic. 2003. Folding a protein in a computer: an atomic description of the folding/unfolding of protein A. Proc. Natl. Acad. Sci. USA. 100:1389813903.
García, A. E., and K. Y. Sanbonmatsu. 2001. Exploring the energy landscape of a ß-hairpin in explicit solvent. Proteins. 42:345354.[CrossRef][Medline]
Genick, U. K., G. E. O. Borgstahl, K. Ng, Z. Ren, C. Pradervand, P. M. Burke, V. Srajer, T. Y. Teng, W. Schildkamp, D. E. McCree, K. Moffat, and E. D. Getzoff. 1997. Structure of a protein photocycle intermediate by millisecond time-resolved crystallography. Science. 275:14711475.
Gensch, T., E. F. Chen, A. B. Gross, J. C. Hendriks, K. J. Hellingwerf, and D. S. Kliger. 2002. Dynamics of alteration of secondary structure in the photocycle of photoactive yellow protein (PYP) as monitored by time-resolved optical rotary dispersion (TRORD). Biophys. J. 82:314A.
Gensch, T., J. Hendriks, and K. J. Hellingwerf. 2004. Tryptophan fluorescence monitors structural changes accompanying signaling state formation in the photocycle of photoactive yellow protein. Photochem. Photobiol. Sci. 3:531536.[CrossRef][Medline]
Groenhof, G., M. F. Lensink, H. J. C. Berendsen, and A. E. Mark. 2002a. Signal transduction in the photoactive yellow protein. II. Proton transfer initiates conformational changes. Proteins. 48:212219.[CrossRef][Medline]
Groenhof, G., M. F. Lensink, H. J. C. Berendsen, J. G. Snijders, and A. E. Mark. 2002b. Signal transduction in the photoactive yellow protein. I. Photon absorption and the isomerization of the chromophore. Proteins. 48:202211.[CrossRef][Medline]
Groenhof, G., M. Bouxin-Cademartory, B. Hess, S. P. de Visser, H. J. C. Berendsen, M. Olivucci, A. E. Mark, and M. A. Robb. 2004. Photoactivation of the photoactive yellow protein: why photon absorption triggers a trans-to-cis isomerization of the chromophore in the protein. J. Am. Chem. Soc. 126:42284233.[CrossRef][Medline]
Harigai, M., Y. Imamoto, H. Kamikubo, Y. Yamazaki, and M. Kataoka. 2003. Role of an N-terminal loop in the secondary structural change of photoactive yellow protein. Biochemistry. 42:1389313900.[CrossRef][Medline]
Hendriks, J., W. D. Hoff, W. Crielaard, and K. J. Hellingwerf. 1999. Protonation deprotonation reactions triggered by photoactivation of photoactive yellow protein from Ectothiorhodospira halophila. J. Biol. Chem. 274:1765517660.
Hendriks, J., T. Gensch, L. Hviid, M. A. van der Horst, K. J. Hellingwerf, and J. J. van Thor. 2002. Transient exposure of hydrophobic surface in the photoactive yellow protein monitored with Nile Red. Biophys. J. 82:16321643.
Hendriks, J., I. H. M. van Stokkum, and K. J. Hellingwerf. 2003. Deuterium isotope effects in the photocycle transitions of the photoactive yellow protein. Biophys. J. 84:11801191.
Hess, B., B. Bekker, H. J. C. Berendsen, and J. G. E. M. Fraaije. 1997. LINCS: a linear constraints solver for molecular simulations. J. Comput. Chem. 18:14631472.[CrossRef]
Hoff, W. D., I. H. M. van Stokkum, H. J. van Ramesdonk, M. E. van Brederode, A. M. Brouwer, J. C. Fitch, T. E. Meyer, R. van Grondelle, and K. J. Hellingwerf. 1994. Measurement and global analysis of the absorbency changes in the photocycle of the photoactive yellow protein from Ectothiorhodospira halophila. Biophys. J. 67:16911705.
Hoff, W. D., A. Xie, I. H. M. van Stokkum, X. J. Tang, J. Gural, A. R. Kroon, and K. J. Hellingwerf. 1999. Global conformational changes upon receptor stimulation in photoactive yellow protein. Biochemistry. 38:10091017.[CrossRef][Medline]
Humphrey, W., A. Dalke, and K. Schulten. 1996. VMDvisual molecular dynamics. J. Mol. Graph. 14:3338.[CrossRef][Medline]
Imamoto, Y., H. Kamikubo, M. Harigai, N. Shimizu, and M. Kataoka. 2002a. Light-induced global conformational change of photoactive yellow protein in solution. Biochemistry. 41:1359513601.[CrossRef][Medline]
Imamoto, Y., M. Kataoka, and R. S. H. Liu. 2002b. Mechanistic pathways for the photoisomerization reaction of the anchored, tethered chromophore of the photoactive yellow protein and its mutants. Photochem. Photobiol. 76:584589.[CrossRef][Medline]
Itoh, K., and M. Sasai. 2004. Dynamical transitions and proteinquake in photoactive yellow protein. Proc. Natl. Acad. Sci. USA. 101:1473614741.
Kandori, H., T. Iwata, J. Hendriks, A. Maeda, and K. J. Hellingwerf. 2000. Water structural changes involved in the activation process of photoactive yellow protein. Biochemistry. 39:79027909.[CrossRef][Medline]
Kort, R., H. Vonk, X. Xu, W. D. Hoff, W. Crielaard, and K. J. Hellingwerf. 1996. Evidence for trans-cis isomerization of the p-coumaric acid chromophore as the photochemical basis of the photocycle of photoactive yellow protein. FEBS Lett. 382:7378.[CrossRef][Medline]
Kort, R., K. J. Hellingwerf, and R. B. G. Ravelli. 2004. Initial events in the photocycle of photoactive yellow protein. J. Biol. Chem. 279:2641726424.
Lee, B. C., P. A. Croonquist, T. R. Sosnick, and W. D. Hoff. 2001a. PAS domain receptor photoactive yellow protein is converted to a molten globule state upon activation. J. Biol. Chem. 276:2082120823.
Lee, B. C., A. Pandit, P. A. Croonquist, and W. D. Hoff. 2001b. Folding and signaling share the same pathway in a photoreceptor. Proc. Natl. Acad. Sci. USA. 98:90629067.
Lindahl, E., B. Hess, and D. van der Spoel. 2001. GROMACS 3.0: a package for molecular simulation and trajectory analysis. J. Mol. Modeling. 7:306317.
Marinari, E., and G. Parisi. 1992. Simulated temperinga new Monte Carlo scheme. Europhys. Lett. 19:451458.[CrossRef]
Mark, A. E., S. P. van Helden, P. E. Smith, L. H. M. Janssen, and W. F. van Gunsteren. 1994. Convergence properties of free energy calculations: cyclodextrin complexes as a case study. J. Am. Chem. Soc. 116:62936302.[CrossRef]
Meyer, T. E., G. Tollin, J. H. Hazzard, and M. A. Cusanovich. 1989. Photoactive yellow protein from the purple phototrophic bacterium, Ectothiorhodospira halophilaquantum yield of photobleaching and effects of temperature, alcohols, glycerol, and sucrose on kinetics of photobleaching and recovery. Biophys. J. 56:559564.
Meyer, T. E., M. A. Cusanovich, and G. Tollin. 1993. Transient proton uptake and release is associated with the photocycle of the photoactive yellow protein from the purple phototrophic bacterium Ectothiorhodospira halophila. Arch. Biochem. Biophys. 306:515517.[CrossRef][Medline]
Miyamoto, S., and P. A. Kollman. 1997. SETTLE: an analytical version of the SHAKE and the RATTLE algorithms for rigid water molecules. J. Comput. Chem. 13:952962.[CrossRef]
Nymeyer, H., and A. E. García. 2003. Simulation of the folding equilibrium of
-helical peptides: a comparison of the generalized born approximation with explicit solvent. Proc. Natl. Acad. Sci. USA. 100:1393413939.
Pan, D. H., A. Philip, W. D. Hoff, and R. A. Mathies. 2004. Time-resolved resonance Raman structural studies of the pB' intermediate in the photocycle of photoactive yellow protein. Biophys. J. 86:23742382.
Pellequer, J. L., K. A. Wager-Smith, S. A. Kay, and E. D. Getzoff. 1998. Photoactive yellow protein: a structural prototype for the three-dimensional fold of the PAS domain superfamily. Proc. Natl. Acad. Sci. USA. 95:58845890.
Perman, B., V. Srajer, Z. Ren, T. Y. Teng, C. Pradervand, T. Ursby, D. Bourgeois, F. Schotte, M. Wulff, R. Kort, K. Hellingwerf, and K. Moffat. 1998. Energy transduction on the nanosecond time scale: early structural events in a xanthopsin photocycle. Science. 279:19461950.
Rajagopal, S., S. Anderson, V. Srajer, M. Schmidt, R. Pahl, and K. Moffat. 2005. A structural pathway for signaling in the E46Q mutant of photoactive yellow protein. Structure. 13:5563.[Medline]
Ren, Z., B. Perman, V. Srajer, T. Y. Teng, C. Pradervand, D. Bourgeois, F. Schotte, T. Ursby, R. Kort, M. Wulff, and K. Moffat. 2001. A molecular movie at 1.8 Ångstrom resolution displays the photocycle of photoactive yellow protein, a eubacterial blue-light receptor, from nanoseconds to seconds. Biochemistry. 40:1378813801.[CrossRef][Medline]
Salamon, Z., T. E. Meyer, and G. Tollin. 1995. Photobleaching of the photoactive yellow protein from Ectothiorhodospira halophila promotes binding to lipid bilayersevidence from surface-plasmon resonance spectroscopy. Biophys. J. 68:648654.
Schmidt, V., R. Pahl, V. Srajer, S. Anderson, Z. Ren, H. Ihee, S. Rajagopal, and K. Moffat. 2004. Protein kinetics: structures of intermediates and reaction mechanism from time-resolved x-ray data. Proc. Natl. Acad. Sci. USA. 101:47994804.
Shiozawa, M., M. Yoda, N. Kamiya, N. Asakawa, J. Higo, Y. Inoue, and M. Sakurai. 2001. Evidence for large structural fluctuations of the photobleached intermediate of photoactive yellow protein in solution. J. Am. Chem. Soc. 123:74457446.[CrossRef][Medline]
Sprenger, W. W., W. D. Hoff, J. P. Armitage, and K. J. Hellingwerf. 1993. The eubacterium Ectothiorhodospira halophila is negatively phototactic, with a wavelength dependence that fits the absorption-spectrum of the photoactive yellow protein. J. Bacteriol. 175:30963104.
Sugita, Y., and Y. Okamoto. 1999. Replica-exchange molecular dynamics method for protein folding. Chem. Phys. Lett. 314:141151.[CrossRef]
Swendsen, R., and J. Wang. 1986. Replica Monte Carlo simulation of spin-glasses. Phys. Rev. Lett. 57:26072609.[CrossRef][Medline]
Takeshita, K., Y. Imamoto, M. Kataoka, F. Tokunaga, and M. Terazima. 2002. Thermodynamic and transport properties of intermediate states of the photocyclic reaction of photoactive yellow protein. Biochemistry. 41:30373048.[CrossRef][Medline]
van Aalten, D. M. F., W. D. Hoff, J. B. C. Findlay, W. Crielaard, and K. J. Hellingwerf. 1998. Concerted motions in the photoactive yellow protein. Protein Eng. 11:873879.
van Beeumen, J. J., B. V. Vreese, S. M. van Bun, W. D. Hoff, K. J. Hellingwerf, T. E. Meyer, D. E. McCree, and M. A. Cusanovich. 1993. Primary structure of a photoactive yellow protein from the phototrophic bacterium Ectothiorhodospira halophila, with evidence for the mass and the binding-site of the chromophore. Protein Sci. 2:11141125.[Abstract]
van Brederode, M. E., W. D. Hoff, I. H. M. van Stokkum, M. L. Groot, and K. J. Hellingwerf. 1996. Protein folding thermodynamics applied to the photocycle of the photoactive yellow protein. Biophys. J. 71:365380.
van Buuren, A. R., S. J. Marrink, and H. J. C. Berendsen. 1993. A molecular dynamics study of the decane/water interface. J. Phys. Chem. 97:92069212.[CrossRef]
van Gunsteren, W. F., and H. J. C. Berendsen. 1987. GROMOS-87 Manual. BIOMOS BV, Groningen, The Netherlands.
van der Horst, M. A., I. H. van Stokkum, W. Crielaard, and K. J. Hellingwerf. 2001. The role of the N-terminal domain of photoactive yellow protein in the transient partial unfolding during signalling state formation. FEBS Lett. 497:2630.[CrossRef][Medline]
Yang, W. Y., J. W. Pitera, W. C. Swope, and M. Gruebele. 2004. Heterogeneous folding of the Trpzip hairpin: full atom simulation and experiment. J. Mol. Biol. 336:241251.[CrossRef][Medline]
Zhou, R. H. 2004. Exploring the protein folding free energy landscape: coupling replica exchange method with P3ME/RESPA algorithm. J. Mol. Graph. Modeling. 22:451463.[CrossRef][Medline]
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