Intermolecular Photoinduced Electron Transfer in Biosystems: Impact of Conformational Transitions and Multiple Channels on Kinetics

被引:1
|
作者
Zanetti-Polzi, Laura [1 ]
Pantazis, Dimitrios A. [2 ]
Daidone, Isabella [3 ]
机构
[1] CNR Inst Nanosci, Ctr S3, Via Campi 213-A, I-41125 Modena, Italy
[2] Max Planck Inst Kohlenforsch, Kaiser Wilhelm Pl 1, D-45470 Mulheim, Germany
[3] Univ Aquila, Dept Phys & Chem Sci, Via Vetoio,Coppito Aquila 1, I-67010 Laquila, Italy
来源
CHEMPHOTOCHEM | 2024年 / 8卷 / 07期
关键词
Protein dynamics; Charge transfer; Alternative channels; Photoactive proteins; QM/MM methodologies; MOLECULAR-DYNAMICS; BORN-OPPENHEIMER; CHARGE SEPARATION; PROTON-TRANSFER; MECHANISM; OXIDASE;
D O I
10.1002/cptc.202300307
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Estimating the kinetics of electron transfer (ET) processes in biologically relevant systems using theoretical-computational methods remains a formidable task. This challenge arises from the inherent complexity of these systems, which makes it impractical to apply a fully quantum-mechanical treatment. Hybrid quantum mechanical/classical mechanical computational approaches have been devised to enable the explicit simulation of electron transfer kinetics. This concept article focuses on a specific theoretical-computational method employed in this context, namely the Perturbed Matrix Method (PMM), which has the merit of being able to include large-scale conformational effects in the ET kinetics and potential multiple, alternative, ET channels. We describe its underlying physical principles, examine its advantages and limitations, and offer insights into its applications. Examples of the approach are discussed in the context of estimating photo-induced electron transfer kinetics in proteins. The non-exponential behavior observed in the presented case studies mainly arises from an active coupling with the environment fluctuations, but also partly stems from the presence of branching ET pathways. Modeling photo-induced electron transfer (ET) kinetics in complex biosystems is challenging as it involves accounting for large-scale conformational effects and potential multiple ET channels. This Concept centers on the Perturbed Matrix Method, a mixed quantum/classical computational approach, that offers an effective solution to tackle these challenges. image
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页数:10
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