Electron transfer, decoherence, and protein dynamics: insights from atomistic simulations.
Electron transfer in biological systems drives the processes of life. From cellular respiration to photosynthesis and enzymatic catalysis, electron transfers (ET) are chemical processes on which essential biological functions rely. Over the last 40 years, scientists have sought understanding of how these essential processes function in biology. One important breakthrough was the discovery that Marcus theory (MT) of electron transfer is applicable to biological systems. Chemists have experimentally collected both the reorganization energies (λ) and the driving forces (ΔG°), two parameters of Marcus theory, for a large variety of ET processes in proteins. At the same time, theoretical chemists have developed computational approaches that rely on molecular dynamics and quantum chemistry calculations to access numerical estimates of λ and ΔG°. Yet another crucial piece in determining the rate of an electron transfer is the electronic coupling between the initial and final electronic wave functions. This is an important prefactor in the nonadiabatic rate expression, since it reflects the probability that an electron tunnels from the electron donor to the acceptor through the intervening medium. The fact that a protein matrix supports electron tunneling much more efficiently than vacuum is now well documented, both experimentally and theoretically. Meanwhile, many chemists have provided examples of the rich physical chemistry that can be induced by protein dynamics. This Account describes our studies of the dynamical effects on electron tunneling. We present our analysis of two examples of natural biological systems through MD simulations and tunneling pathway analyses. Through these examples, we show that protein dynamics sustain efficient tunneling. Second, we introduce two time scales: τcoh and τFC. The former characterizes how fast the electronic coupling varies with nuclear vibrations (which cause dephasing). The latter reflects the time taken by the system to leave the crossing region. In the framework of open quantum systems, τFC is a short time approximation of the characteristic decoherence time of the electronic subsystem in interaction with its nuclear environment. The comparison of the respective values of τcoh and τFC allows us to probe the occurrence of non-Condon effects. We use ab initio MD simulations to analyze how decoherence appears in several biological cofactors. We conclude that we cannot account for its order of magnitude by considering only the atoms or bonds directly concerned with the transfer. Decoherence results from contributions from all atoms of the system appearing with a time delay that increases with the distance from the primarily concerned atoms or bonds. The delay and magnitude of the contributions depend on the chemical nature of the system. Finally, we present recent developments based on constrained DFT for efficient and accurate evaluations of the electronic coupling in ab initio MD simulations. These are promising methods to study the subtle fluctuations of the electronic coupling and the mechanisms of electronic decoherence in biological systems.
†Laboratoire de Chimie Théorique, CNRS UMR 7616, Université Pierre et Marie Curie, case courrier 137. 4, Place Jussieu, 75252 Cedex 05 Paris, France.
Christophe
C
Narth
‡Laboratoire de Chimie-Physique, CNRS UMR 8000, Université Paris Sud, Bâtiment 349 - Campus d'Orsay. 15, avenue Jean Perrin, 91405 Cedex Orsay, France.
Natacha
N
Gillet
‡Laboratoire de Chimie-Physique, CNRS UMR 8000, Université Paris Sud, Bâtiment 349 - Campus d'Orsay. 15, avenue Jean Perrin, 91405 Cedex Orsay, France.
Fabien
F
Cailliez
‡Laboratoire de Chimie-Physique, CNRS UMR 8000, Université Paris Sud, Bâtiment 349 - Campus d'Orsay. 15, avenue Jean Perrin, 91405 Cedex Orsay, France.
Bernard
B
Lévy
‡Laboratoire de Chimie-Physique, CNRS UMR 8000, Université Paris Sud, Bâtiment 349 - Campus d'Orsay. 15, avenue Jean Perrin, 91405 Cedex Orsay, France.
Aurélien
A
de la Lande
D004579:Electron Transport; D056004:Molecular Dynamics Simulation; D011506:Proteins / Q000737:chemistry* / Q000378:metabolism; D011789:Quantum Theory
D011506:Proteins