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基于结构模型哈密顿量再现藻红蛋白 545 光捕获复合物的低温激发能量转移动力学。

Reproducing the low-temperature excitation energy transfer dynamics of phycoerythrin 545 light-harvesting complex with a structure-based model Hamiltonian.

机构信息

State Key Laboratory of Precision Spectroscopy, School of Physics and Electronic Science, East China Normal University, Shanghai 200062, China.

出版信息

J Chem Phys. 2020 Apr 7;152(13):135101. doi: 10.1063/1.5135999.

DOI:10.1063/1.5135999
PMID:32268735
Abstract

To elucidate the energy transfer mechanism of the PE545 light-harvesting complex, an exciton model is constructed with the full Hamiltonian obtained from structure-based calculations. The electronic couplings and spectral densities are evaluated on the basis of the site energies and transition dipole moments obtained from our recent Molecular Dynamics-Quantum Mechanical/Molecular Mechanical (MD-QM/MM) study [Tong et al., J. Phys. Chem. B 123, 2040-2049 (2019)]. The polarized protein-specific charge model is employed both in the MD simulation and in the QM/MM calculations to account for the environmental fluctuation of the protein scaffold. The energy transfer pathways are, thus, derived, which agree well with the phenomenological models based on the spatial organization of the chromophores and the experimental observations. Moreover, the simulated linear absorption spectra using the dissipaton equation of motion approach agree well with the experimental ones, and the resulting population dynamics indicates that an optimal energy transfer efficiency is reproduced.

摘要

为了阐明 PE545 光捕获复合物的能量转移机制,我们构建了一个基于结构计算得到的完整哈密顿量的激子模型。电子耦合和光谱密度是根据我们最近的分子动力学-量子力学/分子力学(MD-QM/MM)研究 [Tong 等人,J. Phys. Chem. B 123, 2040-2049(2019)] 中得到的局域能量和跃迁偶极矩来评估的。极化的蛋白特异电荷模型被同时应用于 MD 模拟和 QM/MM 计算中,以解释蛋白支架的环境波动。因此,得出了能量转移途径,这与基于发色团空间组织和实验观察的经验模型吻合良好。此外,使用耗散运动方程方法模拟的线性吸收光谱与实验结果吻合良好,所得的群体动力学表明,能量转移效率达到了最优。

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Reproducing the low-temperature excitation energy transfer dynamics of phycoerythrin 545 light-harvesting complex with a structure-based model Hamiltonian.基于结构模型哈密顿量再现藻红蛋白 545 光捕获复合物的低温激发能量转移动力学。
J Chem Phys. 2020 Apr 7;152(13):135101. doi: 10.1063/1.5135999.
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