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Proceedings of the National Academy of Sciences of the United States of America logoLink to Proceedings of the National Academy of Sciences of the United States of America
. 2009 Jun 29;106(27):10896–10900. doi: 10.1073/pnas.0904589106

Control of retinal isomerization in bacteriorhodopsin in the high-intensity regime

Andrei C Florean a, David Cardoza b, James L White b, J K Lanyi c, Roseanne J Sension a,1, Philip H Bucksbaum b,1
PMCID: PMC2708765  PMID: 19564608

Abstract

A learning algorithm was used to manipulate optical pulse shapes and optimize retinal isomerization in bacteriorhodopsin, for excitation levels up to 1.8 × 1016 photons per square centimeter. Below 1/3 the maximum excitation level, the yield was not sensitive to pulse shape. Above this level the learning algorithm found that a Fourier-transform-limited (TL) pulse maximized the 13-cis population. For this optimal pulse the yield increases linearly with intensity well beyond the saturation of the first excited state. To understand these results we performed systematic searches varying the chirp and energy of the pump pulses while monitoring the isomerization yield. The results are interpreted including the influence of 1-photon and multiphoton transitions. The population dynamics in each intermediate conformation and the final branching ratio between the all-trans and 13-cis isomers are modified by changes in the pulse energy and duration.

Keywords: coherent control, photoisomerization, ultrafast science


Bacteriorhodopsin (bR) is a photosynthetic protein found in the purple membrane of Halobacterium salinarum and capable of conversion of solar energy into chemical energy. This energy conversion is efficient (13) and has several possible applications (412). A retinal chromophore is responsible for photon absorption. After photoexcitation retinal undergoes ultrafast isomerization from the all-trans to a 13-cis configuration, accompanied by additional changes in the conformation of bR (3, 8). The initial steps of the bR photocycle (see Fig. 1) have been studied intensively (11, 1333), but there are still unanswered questions regarding the electronic potential energy surfaces (PES) of retinal, the interaction with its surroundings in the protein, and related ultrafast vibrational coupling. A number of models have been proposed, each explaining parts of the large number of experiments (4, 13, 14, 16, 3440). Attempts have been made to reconcile the differences between these models (4).

Fig. 1.

Fig. 1.

Scheme of the isomerization reaction of retinal in bR. H = the conformation excited vertically from the all-trans (bR570) ground state. Sn = the higher excited state reached through absorption from the H state. I460 is the conformer corresponding to the shallow bottom of the first excited electronic potential energy surface. The red arrow depicts the transition from I460 to the ground all-trans conformation. The J625 conformer is tentatively assigned to the conical intersection region (see discussion below). K590 designates the 13-cis isomer.

We aim to understand how the optical pulse shape and intensity affect the all-trans → 13-cis yield and to explore potential pathways for producing high photoproduct yields on an ultrafast time scale. This is relevant for energy storage using bio-molecular machines (9, 32). Recently, Prokhorenko et al. showed that the isomerization yield of retinal in bR could be manipulated in a low intensity, biologically relevant regime through the use of phase and amplitude shaped optical fields (25). Modifications of as much as ±20% were observed compared with unshaped pulses capable of exciting an equal number of molecules. Yet the ultimate yields remain small as photon flux was restricted to excite ≈0.3% of the chromophores in the excitation volume. In a different experiment, Vogt et al. used much higher intensity, shorter wavelength pump pulses to excite bR and a shaped 800-nm dump pulse to study the evolution of the molecule on the excited state PES (30). They found that the excited population is transferred most effectively back to the all-trans state by means of a near-infrared “dump” pulse with a delay of 200 fs, and with the minimum bandwidth for its pulse duration (i.e., a TL pulse). This is consistent with the dynamics of the I460 intermediate state. We investigate the pulse shape dependence of the isomerization yield at pulse excitation levels up to 2 orders of magnitude higher than previous studies (25), so that pump-dump mechanisms or multiphoton excitation can help to control the molecular dynamics. These studies provide information on excited state dynamical mechanisms that produce increased yields of photoproduct. We find that short, intense pulses increase the isomerization yield by >50% over the same energy delivered in long, low intensity pulses. The yield increases approximately linearly well beyond the saturation of the initial 1-photon transition. To investigate the mechanism we perform a number of systematic scans while monitoring signals proportional to the population of the initial conformations involved in the isomerization reaction. We find that higher excited states (Sn) play a significant role in enhancing the yield. We present a model describing the multipathway isomerization process.

Results

We report on 5 types of transient absorption experiments. The first type is white-light continuum absorption spectroscopy from 460 to 870 nm. Here, the data demonstrate that the photoproduct observed at long times (38–40 ps) is consistent with the formation of the K intermediate. The remaining 4 experiments detect narrow-band time-delayed spectral absorption to determine how intermediate state formation is controlled by the shape of the excitation pulse (see Fig. 2), A learning algorithm was used to allow multiparameter modification of the excitation pulses. Searches were performed to identify optimal pulses to enhance and minimize photoproduct formation probed at 650 nm 30–40 ps after excitation. Photoproduct formation was also analyzed using 1 parameter searches varying linear chirp and pulse intensity. Finally transient absorption kinetic traces were obtained at a range of pulse energies and chirps to probe the time evolution of the various photoproduct signals. These experiments are discussed in more detail below.

Fig. 2.

Fig. 2.

bR absorption spectrum (red line), pump spectrum (green line) and probe spectra (black line) for the 4 monitored wavelengths. The transition labels follow the nomenclature of Fig. 1. The J625 and K590 signals are monitored at the same wavelength (650 nm) at early (<2 ps) and late (>30 ps) pump-probe delays.

Learning Control Experiments.

Optical control experiments were carried out to find the optimal phase profile of the pump pulse to maximize the yield of the 13-cis photoproduct. A genetic algorithm (GA) search (41, 42) was used to find the optimal pulses that maximize the absorption signal at 650 nm at a time delay of 40 ps after excitation (see Fig. 2). This is the wavelength with largest differential absorption between the 13-cis and all-trans state. The time delay was sufficient to assure that all of the population had relaxed to the all-trans or 13-cis conformation. At pump energies >30 nJ, the GA consistently converged to a transform-limited (TL) pulse solution. Fig. 3Inset shows fitness vs. generation for a typical GA optimization. The black upper curve shows the best pulse shape in each generation of the evolutionary search whereas the gray curve shows the average performance of all pulse shapes in that generation. Both reach asymptotic values after ≈20 generations. The dashed line shows the 13-cis absorption for a TL pulse, and the optimization experiment converges on this value. At pump energies <30 nJ the search algorithm fails to improve the isomerization yield for any pulse shape. We also tried to minimize K production using the GA. The pulses retrieved from these minimizations were all long pulses (> 500 fs) and had no distinguishing amplitude features in the time domain and no distinguishing spectral phase features. This is a common result for minimizations performed by the GA, particularly when optimization is based on multiphoton absorption and peak intensity is the controlling factor.

Fig. 3.

Fig. 3.

Summary of absorption data. (Inset) Fitness as a function of generation for a typical GA run. The black line represents the fitness (intensity of the K absorption) of the best individual pulse in each generation, the gray line represents the average fitness for each generation and the thin dashed line represents the fitness of the worst pulse in each generation. The red line represents the fitness of a TL pulse. The GA almost doubles the intensity of the K absorption over that of random stretched pulses in the early generations, converging on the K absorption intensity characteristic of transform-limited pulses. (Main Figure) I460, bR570, J625 and K590 signals versus pump energy for transform-limited excitation pulses. The horizontal scale represents the estimated energy entering the focal volume where the pump and probe pulses overlap. The corresponding excitation level is given along the top axis. The arrow indicates the estimated linear saturation level of 4.8 × 1015 photons per square centimeter (25). The data are scaled to give similar linear behavior at low pump intensities, highlighting the differences in saturation at higher pump intensities. The I460 signal is given by the stimulated emission (SE) at 850 nm (red curve) and excited state absorption (ESA) at 487 nm (black curve). The initial bR570 bleach is measured at 570 nm 100 fs (solid green) and 200 fs (dashed green) after the coherent spike (zero pump-probe delay). The J625 and K590 signals are given by the transient absorption at 650 nm, at 2 ps (light blue) and 40 ps (dark blue) respectively. The K and J absorption signals continue to increase with pump-intensity despite the saturation of the bleaching signal and the I460 population.

Intensity Scans.

To explore further the results of these optimization experiments we performed intensity scans in which the bR570, I460, J625, and K590 populations were monitored as a function of pump energy for TL excitation pulses at specific pump-probe wavelengths and delays (see Fig. 2). The results are plotted in Fig. 3. The green curves show the decrease (bleach) of the bR570 absorption 100 fs and 200 fs after photoexcitation. This signal is proportional to the population removed from the ground state and has a sublinear dependence on the excitation energy. Previous studies reported that the population is initially excited to the H conformation and a fluorescence Stokes shift is observed as the population moves to I460 in ≈200 fs (16, 23, 43). This time-delay in the growth of the I460 signal is also observed in the present experiments (see section 2.4 below). The intensity-dependent difference between the bR570 bleach at 200 fs (dashed green line) and 100 fs (solid green line) as pump energies exceed 30 nJ reflects the appearance of an absorbing species or depletion of an emissive species on an ultrafast time scale. This may indicate that a fraction of the initially excited population returns rapidly to the all-trans ground state. Alternatively the absorption may arise from the formation of vibrationally hot I460 or another intermediate excited state species after multiphoton excitation to higher electronic states. The intensity dependence of the I460 population was monitored via stimulated emission at 850 nm and excited state absorption at 487 nm. Both I460 signals saturate more strongly than the all-trans bleach, demonstrating that some of the bleached population is excited from H to higher states, avoiding the I460 state altogether.

The photoproduct populations at 650 nm exhibit a very different intensity dependence. The 13-cis population, K590 (dark blue), observed 40 ps after excitation exhibits a nearly linear dependence on intensity. The J625 absorption monitored at 2 ps (light blue) displays a similar dependence on the pump energy, although there may be a slight energy dependent mismatch between the J625 and K590 curves. The pulse energy dependence of the bR570 bleach at 570 nm 30 ps after excitation is consistent with the K590 and J625 signals as expected for depletion of the reactant trans-retinal and production of the photoproduct. The near linear dependence of the ultimate photoproduct yield is in distinct contrast to the sublinear behavior ofthe initial bR570, bleach and the I460 emission. The increase in the K590 yield can be maintained only if the branching efficiency toward this conformation increases with intensity.

Linear Chirp Scans.

The influence of pulse shape on isomerization yield was explored further by monitoring the different photoproduct signals while systematically varying the second order spectral phase (linear chirp) of the excitation pulses. Linear chirp can be a useful tool to probe the influence of pulse shape on excited state population or wavepacket dynamics in absorption to 1-photon allowed excited states and to probe the spectral resonances in resonant 2-photon absorption (44). The magnitude of the K590 absorption signal depends on linear chirp only at energies >30 nJ whereas at low energies the chirp scans are flat within the ≈ 5% RMS noise of the measurement. Fig. 4 compares the K590 (red squares) and J625 (blue diamonds) absorption signals as a function of linear chirp for 80 nJ excitation pulses. Both signals are maximized by a pulse with a small negative chirp, near the limit of the temporal resolution. These data suggest that the higher excited state responsible for the enhanced production of K is primarily accessed from the Franck–Condon region of the initially excited H state (Fig. 1). Evolution of the sample away from this region reduces the overall signal from this channel as evinced in the rapid drop-off with chirp. We also observe a small asymmetry for pulses of opposing linear chirp. This asymmetry, which is seen as a steeper drop in photoproduct formation with positive chirp, could be due to the slightly asymmetric excitation spectrum. It could also reflect the influence of a pump-dump pathway reducing the excited state population. Excited state depletion is often observed with positively chirped excitation. The difference between the early (J625) and late (K590) signals reflects an influence of excitation pathway (1-photon vs. 2-photon) on the photoproduct relaxation dynamics.

Fig. 4.

Fig. 4.

Probe absorption change vs. chirp of the pump pulse. (Upper) The J625 (blue diamonds) and K590 (red squares) signals versus linear chirp at 80 nJ pulse energy. (Lower) K590 signal versus linear chirp at 12 nJ pulse energy (green triangles). All signals are measured at 650 nm. The J625 signal is measured at 2 ps and the K590 signal is measured at 40 ps.

Transient Scans.

The above analysis maps the multipathway evolution of the retinal chromophore but does not explain the mechanism through which the branching ratio is controllable. To address this question we performed transient scans with several different excitation pulses while monitoring the dynamics of the conformations involved in the isomerization process. Fig. 5Top shows transient scans taken at 570 nm, the peak of the bR570 ground state absorption. The absorption at 570 nm has contributions from the all-trans conformer and intermediates I460, J625 and K590, and this complicates the interpretation of the bleach recovery. Nevertheless, the bR570 bleach dominates the signal at this wavelength, particularly at early times, before J625 and K590 come into play. The decay of the bleach has 3 notable features. The first feature is an intensity dependent absorption signal at early times that is altered by the pump phase and energy. This feature is responsible for the difference in the intensity dependence 100 fs and 200 fs after excitation (see Fig. 3). At low pump excitation levels, there is an increase in the bleaching signal at early times followed by a decay, whereas at higher energies there is an enhanced bleach at early times followed by a somewhat slower decay leading to a plateau between ≈100 and 200 fs. The second feature, whose onset is marked by the vertical arrow at TT0 ≈ 250 fs, can be modeled as an exponential decay with a time constant T1 ≈ 600 fs. This is responsible for most of the decay of the bleach corresponding to repopulation of the bR ground state or production of the J625-K590 states, which also absorb weakly at this wavelength. The third feature has an intensity dependent time constant T2 ≈ 5–15 ps corresponding to relaxation of the photoproducts. The relative magnitude of the overall bleach recovery is dependent on pump energy.

Fig. 5.

Fig. 5.

Transient scans taken at 570 nm (Top), 650 nm (Middle) and 850 nm (Bottom). The monitored signals are, in order: the bR570 (all-trans) ground state bleach the J625 absorption and the I460 stimulated emission. The arrow in Top indicates the onset of the exponential recovery of the bleach. The negative chirp pulse has a linear chirp rate of −0.35 × 105 fs2. In Middle, the traces have been normalized by the amplitude of the corresponding I460 trace, generated in identical excitation conditions.

Fig. 5 Middle shows the intensity-dependent dynamics of the transient absorption signal at 650 nm, where the J625 → K590 transition is monitored. At early times this signal also contains contributions due to stimulated emission as the fluorescence undergoes a dynamic stokes shift (43). At low excitation intensity this stimulated emission feature is clearly observed, decaying on a ≈150 fs time scale as the fluorescence spectrum shifts to the red. The observed rise times of the absorption due to the J625 intermediate is within 10% of 400 fs for all pump energies used. The ensuing decay of the 650-nm signal is caused by the relaxation toward the K590 conformer. For excitation with 80 nJ pulses the relaxation is completed within 30–40 ps. For lower energies the relaxation is completed within 10–20 ps. Transient scans with lengths up to 150 ps show that no changes are observed after 40 ps for all traces. Transient absorption spectra at 38–40 ps were consistent with the formation of J-K with no other species contributing to the difference spectrum between 460 nm and 870 nm. The 3 traces shown in Fig. 5 are normalized using the amplitude of the corresponding I460 signal generated under identical excitation conditions. The relative intensity of the J625 signal obtained with the highest intensity excitation is significantly larger than that obtained with low excitation intensity. This supports the conclusion that some of the excited population reaches the photoproduct channel without passing through I460, in agreement with the saturation of the I460 curve in Fig. 3.

Fig. 5 Bottom shows the time dynamics of the stimulated emission of the I460 state, measured at 850 nm. Unlike the measurements performed at other probe wavelengths, which are affected by spectral congestion from multiple intermediates, the 850-nm optical signal observed at low excitation intensity can be assigned to I460 stimulated emission alone. As the intensity is increased a fast negative transient appears in the data where the pump and probe pulses overlap in time. This transient could arise from a Raman contribution to the signal or a short-lived stimulated emission from the state excited after 2-photon absorption. The fast transient is followed by the rise and decay of the stimulated emission signal. The stimulated emission signal attributed to I460 is not well described by a sum of exponentials. The signal reaches a maximum 200 fs after T0 with a rise that is distinctly nonexponential. The decay of the signal is described moderately well by an exponential decay with a 1/e time from the peak of the signal of ≈600 fs with TL 80 nJ excitation, 680 fs with a chirped 80 nJ excitation (linear chirp rate of −0.35 × 105 fs2) and 750 fs with TL 37 nJ excitation, although the overall signal decay at this wavelength is better described as multiexponential. The change in the decay of I460 may represent changes in the relative amplitudes of different components that are not well defined in the short 2-ps time window available. The I460 decay and bR570 bleach recovery occur on similar time scales confirming that the I460 population is the dominant source for the bR570 bleach recovery under all excitation conditions.

These data lead to the question of how intensity influences the I460 population dynamics. Studies have shown that I460 can be also reached through the all-trans → H → Sn → I460 pathway and the corresponding I460 population has a faster decay (17, 30, 43). Transient absorption scans taken at 487 nm showed features at TT0 < 200 fs that did not match well the cross correlation measurements in the neat buffer solution. The mismatch could be due to fast relaxation of some of the Sn population to I460. This component of the I460 population will correspond to hotter vibrational levels and will easily bypass the small barrier to the right (see Fig. 1). It is not clear from the available data whether the influence of pulse parameters on the I460 population is simply described by modifications in the peak intensity of the pulse and the relative importance of 1-photon and multiphoton pathways or whether more complicated pathways could play a role. This is a subject worth careful investigation. An alternative way to create a hot I460 population in a controlled fashion is through stimulated Raman scattering between Sn and H. This mechanism is not mentioned in the literature, but it is consistent with the intensity-dependent effects observed here.

Discussion and Conclusions

The model emerging from the data (see Fig. 1) demonstrates the presence of at least 2 pathways for the formation of the 13-cis K590 conformation. With low intensity excitation and phase-only control the GA was unable to identify pulse shapes capable of modifying the formation of the photoproduct. This is in direct contrast to the control observed in the study in ref. 25. The contrast in controllability may relate to the differences in available bandwidth or peak wavelength, but highlights the need for additional work to characterize the mechanisms for control.

In the present study high-intensity excitation opens pathways for one or more additional excited states Sn, reached through multiphoton excitation. The GA consistently found TL pulses to optimize the photoproduct formation whereas anti-optimization minimizing photoproduct formation led to long pulses without any outstanding features. It is interesting that the GA fails to identify pathways characterized by more complex interaction at the highest intensities where multiple resonant multiphoton processes could be accessed. From the higher excited states some portion of the population couples back to I460. Potential coupling mechanisms include nonradiative internal conversion and stimulated Raman scattering between H and Sn. A common consequence of these 2 pathways is that the population will be vibrationally hot when reaching I460, accounting for the more rapid decay of this state at high intensity. It is also apparent that much of the Sn population bypasses the I460 region altogether, as suggested particularly by the intensity scans (Fig. 3) and by the normalized J625 transient scans (Fig. 5 Middle). This population could convert to the 13-cis conformation through the same conical intersection region accessed after linear excitation, or through another conical intersection. The isomerization due to this process must be exceedingly efficient, because it competes favorably with the already efficient process that proceeds through the initial 1-photon excitation channel. The dominant multiphoton pathway results in the formation of the 13-cis photoproduct with unit or near unit efficiency.

Quantum coherence does not appear to play a significant role in the experiments described in this work. Weak vibrational coherences with a period of a few hundred wave numbers are observed in some of the transient scans for chirped pulse excitation, but not for the optimal, TL pulse. The related analysis will be presented elsewhere. Refs. 15, 21, and 45 report high frequency oscillations that persist for >1 ps. The resolution needed to observe them is beyond the capabilities of our experimental setup. The model presented above does not require coherent wave packet dynamics.

The experiments presented in this work report control of the isomerization efficiency of retinal in bR in an intensity regime, which is not found in nature. The optimal solution is simple: the pulse of highest intensity/shortest duration maximizes 13-cis isomerization yield (37). However, the postexcitation molecular dynamics are complex and clearly suggest that the population of each conformer along the multipath trajectory is influenced by the pulse energy and duration. At lower intensities, the yield does not depend on phase in our measurements. The findings presented in this work show that bacteriorhodopsin carries out its function efficiently over a range of light level conditions far beyond those found in nature. Solar radiation provides broad spectral excitation very different from the ideal characteristics of the laser radiation used in these control experiments. Yet the isomerization channel identified here may have biological relevance. Biological systems are vulnerable to photodamage after UV excitation. The isomerization channel observed in these experiments rapidly and efficiently channels high energy excitation into a biologically useful channel. It would be interesting to compare isomerization of retinal in different environments after multiphoton or direct UV excitation to determine if the protein environment tunes or controls this isomerization channel.

Materials and Methods

Tunable noncollinear optical parametric amplifiers and programmable acousto-optic pulse shapers were used in this work, together with standard white light ultrafast probe techniques (46, 47). The details are discussed in SI Text. The bR preparation was also similar to previous photoabsorption experiments on this molecule (25, 30, 45). Care was taken to limit the total bR exposure to laser radiation to avoid the effects of permanent photo-induced damage, although the intensity-dependent nature of this study necessitated higher photon doses than some previous studies. The integrated photon dose was kept to ≈5 or fewer absorbed photons per molecule.

Supplementary Material

Supporting Information

Acknowledgments.

This work was supported by National Science Foundation Grants CHE 0718219 and PHY 0649578 and the FOCUS Center at the University of Michigan.

Footnotes

The authors declare no conflict of interest.

This article contains supporting information online at www.pnas.org/cgi/content/full/0904589106/DCSupplemental.

References

  • 1.Rohr M, Gartner W, Schweitzer G, Holzwarth AR, Braslavsky SE. Quantum yields of the photochromic equilibrium between bacteriorhodopsin and its bathointermediate-k—femtosecond and nanosecond optoacoustic spectroscopy. J Phys Chem. 1992;96:6055–6061. [Google Scholar]
  • 2.Dioumaev AK, Savransky VV, Tkachenko NV, Chukharev VI. Quantum yield and extinction measurements in strongly overlapping reactant and photoproduct absorption-bands. 2. Bathointermediate formation in bacteriorhodopsin photocycle at room-temperature. J Photochem Photobiol B. 1989;3:397–410. [Google Scholar]
  • 3.Balashov SP, Imasheva ES, Govindjee R, Ebrey TG. Quantum yield ratio of the forward and back light reactions of bacteriorhodopsin at low-temperature and photosteady-state concentration of the bathoproduct-k. Photochem Photobiol. 1991;54:955–961. [Google Scholar]
  • 4.Abramczyk H. Femtosecond primary events in bacteriorhodopsin and its retinal modified analogs: Revision of commonly accepted interpretation of electronic spectra of transient intermediates in the bacteriorhodopsin photocycle. J Chem Phys. 2004;120:11120–11132. doi: 10.1063/1.1737731. [DOI] [PubMed] [Google Scholar]
  • 5.Fleming GR, vanGrondelle R. Femtosecond spectroscopy of photosynthetic light-harvesting systems. Curr Opin Struct Biol. 1997;7:738–748. doi: 10.1016/s0959-440x(97)80086-3. [DOI] [PubMed] [Google Scholar]
  • 6.Gai F, Hasson KC, McDonald JC, Anfinrud PA. Chemical dynamics in proteins: The photoisomerization of retinal in bacteriorhodopsin. Sci. 1998;279:1886–1891. doi: 10.1126/science.279.5358.1886. [DOI] [PubMed] [Google Scholar]
  • 7.Haupts U, Tittor J, Oesterhelt D. Closing in on bacteriorhodopsin: Progress in understanding the molecule. Annu Rev Biophys Biomol Struct. 1999;28:367–399. doi: 10.1146/annurev.biophys.28.1.367. [DOI] [PubMed] [Google Scholar]
  • 8.Kuhlbrandt W. Bacteriorhodopsin—the movie. Nature. 2000;406:569–570. doi: 10.1038/35020654. [DOI] [PubMed] [Google Scholar]
  • 9.Lanyi JK. Proton transfers in the bacteriorhodopsin photocycle. Biochim Biophys Acta Bioenerg. 2006;1757:1012–1018. doi: 10.1016/j.bbabio.2005.11.003. [DOI] [PubMed] [Google Scholar]
  • 10.Lanyi JK. Studies of the bacteriorhodopsin photocycle without the use of light: Clues to proton transfer coupled reactions. J Mol Microbiol Biotechnol. 2007;12(3–4):210–217. doi: 10.1159/000099642. [DOI] [PubMed] [Google Scholar]
  • 11.Schenkl S, van Mourik F, van der Zwan G, Haacke S, Chergui M. Probing the ultrafast charge translocation of photoexcited retinal in bacteriorhodopsin. Sci. 2005;309:917–920. doi: 10.1126/science.1111482. [DOI] [PubMed] [Google Scholar]
  • 12.Vos MH, Martin JL. Femtosecond processes in proteins. Biochim Biophys Acta-Bioenerg. 1999;1411:1–20. doi: 10.1016/s0005-2728(99)00035-3. [DOI] [PubMed] [Google Scholar]
  • 13.Abe M, Ohtsuki Y, Fujimura Y, Domcke W. Optimal control of ultrafast cis-trans photoisomerization of retinal in rhodopsin via a conical intersection. J Chem Phys. 2005;123:10. doi: 10.1063/1.2034488. [DOI] [PubMed] [Google Scholar]
  • 14.Atkinson GH, Ujj L, Zhou YD. Vibrational spectrum of the j-625 intermediate in the room temperature bacteriorhodopsin photocycle. J Phys Chem A. 2000;104:4130–4139. [Google Scholar]
  • 15.Bardeen CJ, Wang Q, Shank CV. Femtosecond chirped pulse excitation of vibrational wave packets in ld690 and bacteriorhodopsin. J Phys Chem A. 1998;102:2759–2766. [Google Scholar]
  • 16.Dexheimer SL, et al. Femtosecond impulsive excitation of nonstationary vibrational-states in bacteriorhodopsin. Chem Phys Lett. 1992;188(1–2):61–66. [Google Scholar]
  • 17.Haran G, et al. Excited state dynamics of bacteriorhodopsin revealed by transient stimulated emission spectra. Chem Phys Lett. 1996;261(4–5):389–395. [Google Scholar]
  • 18.Herbst J, Heyne K, Diller R. Femtosecond infrared spectroscopy of bacteriorhodopsin chromophore isomerization. Sci. 2002;297:822–825. doi: 10.1126/science.1072144. [DOI] [PubMed] [Google Scholar]
  • 19.Hou BX, Friedman N, Ottolenghi M, Sheves M, Ruhman S. Comparing photoinduced vibrational coherences in bacteriorhodopsin and in native and locked retinal protonated schiff bases. Chem Phys Lett. 2003;381(5–6):549–555. [Google Scholar]
  • 20.Kennis JTM, et al. Ultrafast protein dynamics of bacteriorhodopsin probed by photon echo and transient absorption spectroscopy. J Phys Chem B. 2002;106:6067–6080. [Google Scholar]
  • 21.Kobayashi T, Saito T, Ohtani H. Real-time spectroscopy of transition states in bacteriorhodopsin during retinal isomerization. Nature. 2001;414:531–534. doi: 10.1038/35107042. [DOI] [PubMed] [Google Scholar]
  • 22.Logunov SL, Volkov VV, Braun M, El-Sayed MA. The relaxation dynamics of the excited electronic states of retinal in bacteriorhodopsin by two-pump-probe femtosecond studies. Proc Natl Acad Sci USA. 2001;98:8475–8479. doi: 10.1073/pnas.141220198. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Mathies RA, Cruz CHB, Pollard WT, Shank CV. Direct observation of the femtosecond excited-state cis-trans isomerization in bacteriorhodopsin. Sci. 1988;240:777–779. doi: 10.1126/science.3363359. [DOI] [PubMed] [Google Scholar]
  • 24.Myers AB, Harris RA, Mathies RA. Resonance raman excitation profiles of bacteriorhodopsin. J Chem Phys. 1983;79:603–613. [Google Scholar]
  • 25.Prokhorenko VI, et al. Coherent control of retinal isomerization in bacteriorhodopsin. Sci. 2006;313:1257–1261. doi: 10.1126/science.1130747. [DOI] [PubMed] [Google Scholar]
  • 26.Ruhman S, Hou BX, Friedman N, Ottolenghi M, Sheves M. Following evolution of bacteriorhodopsin in its reactive excited state via stimulated emission pumping. J Am Chem Soc. 2002;124:8854–8858. doi: 10.1021/ja026426q. [DOI] [PubMed] [Google Scholar]
  • 27.Schenkl S, et al. Insights into excited-state and isomerization dynamics of bacteriorhodopsin from ultrafast transient uv absorption. Proc Natl Acad Sci USA. 2006;103:4101–4106. doi: 10.1073/pnas.0506303103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Terentis AC, Ujj L, Abramczyk H, Atkinson GH. Primary events in the bacteriorhodopsin photocycle: Torsional vibrational dephasing in the first excited electronic state. Chem Phys. 2005;313(1–3):51–62. [Google Scholar]
  • 29.Terpugov EL, Degtyareva OV. Infrared emission from photoexcited bacteriorhodopsin: Studies by fourier transform infrared spectroscopy. J Mol Struct. 2001;565:287–292. [Google Scholar]
  • 30.Vogt G, Nuernberger P, Brixner T, Gerber G. Femtosecond pump-shaped-dump quantum control of retinal isomerization in bacteriorhodopsin. Chem Phys Lett. 2006;433(1–3):211–215. [Google Scholar]
  • 31.Wang JP, El-Sayed MA. Time-resolved long-lived infrared emission from bacteriorhodopsin during its photocycle. Biophys J. 2002;83:1589–1594. doi: 10.1016/S0006-3495(02)73928-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Xu J, et al. Direct measurement of the photoelectric response time of bacteriorhodopsin via electro-optic sampling. Biophys J. 2003;85:1128–1134. doi: 10.1016/S0006-3495(03)74549-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Ye T, et al. Resolving the primary dynamics of bacteriorhodopsin, and of a “c-13=c-14 locked” analog, in the reactive excited state. Chem Phys Lett. 1999;314(5–6):429–434. [Google Scholar]
  • 34.Lee HM, Kim J, Kim CJ, Kim KS. Ab initio study of the isomerization of retinal chromophore and its derivatives. J Chem Phys. 2002;116:6549–6559. [Google Scholar]
  • 35.Flores SC, Batista VS. Model study of coherent-control of the femtosecond primary event of vision. J Phys Chem B. 2004;108:6745–6749. [Google Scholar]
  • 36.Herek JL, Wohlleben W, Cogdell RJ, Zeidler D, Motzkus M. Quantum control of energy flow in light harvesting. Nature. 2002;417:533–535. doi: 10.1038/417533a. [DOI] [PubMed] [Google Scholar]
  • 37.Hoki K, Brumer P. Mechanisms in adaptive feedback control: Photoisomerization in a liquid. Phys Rev Lett. 2005;95:4. doi: 10.1103/PhysRevLett.95.168305. [DOI] [PubMed] [Google Scholar]
  • 38.Nuernberger P, Vogt G, Brixner T, Gerber G. Femtosecond quantum control of molecular dynamics in the condensed phase. PCCP. 2007;9:2470–2497. doi: 10.1039/b618760a. [DOI] [PubMed] [Google Scholar]
  • 39.Ohtsuki Y, Ohara K, Abe M, Nakagami K, Fujimura Y. New quantum control pathway for a coupled-potential system. Chem Phys Lett. 2003;369(5–6):525–533. [Google Scholar]
  • 40.Akiyama R, Kakitani T, Imamoto Y, Shichida Y, Hatano Y. Temperature-dependence of femtosecond excited-state dynamics of bacteriorhodopsin analyzed by the fourier-transform of optical-absorption spectra. J Phys Chem. 1995;99:7147–7153. [Google Scholar]
  • 41.Pearson BJ, White JL, Weinacht TC, Bucksbaum PH. Coherent control using adaptive learning algorithms. PhRvA. 2001;6306:12. [Google Scholar]
  • 42.Judson RS, Rabitz H. Teaching lasers to control molecules. Phys Rev Lett. 1992;68:1500–1503. doi: 10.1103/PhysRevLett.68.1500. [DOI] [PubMed] [Google Scholar]
  • 43.Schmidt B, et al. Excited-state dynamics of bacteriorhodopsin probed by broadband femtosecond fluorescence spectroscopy. Biochim Biophys Acta-Bioenerg. 2005;1706:165–173. doi: 10.1016/j.bbabio.2004.10.008. [DOI] [PubMed] [Google Scholar]
  • 44.Carroll EC, Florean AC, Bucksbaum PH, Spears KG, Sension RJ. Phase control of the competition between electronic transitions in a solvated laser dye. Chem Phys. 2008;350:75–86. [Google Scholar]
  • 45.Kahan A, Nahmias O, Friedman N, Sheves M, Ruhman S. Following photoinduced dynamics in bacteriorhodopsin with 7-fs impulsive vibrational spectroscopy. J Am Chem Soc. 2007;129:537–546. doi: 10.1021/ja064910d. [DOI] [PubMed] [Google Scholar]
  • 46.Florean AC, Carroll EC, Spears KG, Sension RJ, Bucksbaum PH. Optical control of excited-state vibrational coherences of a molecule in solution: The influence of the excitation pulse spectrum and phase in ld690. J Phys Chem B. 2006;110:20023–20031. doi: 10.1021/jp0627628. [DOI] [PubMed] [Google Scholar]
  • 47.Carroll EC, Pearson BJ, Florean AC, Bucksbaum PH, Sension RJ. Spectral phase effects on nonlinear resonant photochemistry of 1,3-cyclohexadiene in solution. J Chem Phys. 2006;124:114506. doi: 10.1063/1.2168454. [DOI] [PubMed] [Google Scholar]

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