论文标题

通过介电弛豫,绿色荧光蛋白的动力解相结合和记忆效应

Dynamical Decoherence and Memory Effects in Green Fluorescent Proteins by Dielectric Relaxation

论文作者

Burgess, Adam, Florescu, Marian

论文摘要

在本文中,当耦合到有限温度的电介质环境时,我们探讨了绿色荧光蛋白中发色团的动力解相应。由于与其他生物分子相比,由于其异常长的相干寿命,因此这种系统引起了人们的关注。我们在自旋 - 玻色子模型中工作,并采用运动形式主义的层次方程,该方程允许计算系统动力学的全部非扰动和非马克维亚特征。我们分析了独立的绿色荧光蛋白发色团的水平相干性和均二聚体绿色荧光蛋白中的能量转移动力学,重点是介电弛豫对这些系统时间尺度的影响。使用波动散引血定理,我们从Poisson方程产生的局部电敏感性产生光谱密度,并为溶剂环境采用Debye介电模型。对于不同的系统体系结构,我们确定了由环境的介电松弛引起的发色团动力学中的许多非常引人注目的特征,从而产生了强烈的记忆效应,从而延长了系统的相干寿命。值得注意的是,绿色荧光蛋白的复杂结构包括原子系统周围的腔样结构,非常适合保留同二聚体系统中的相干。系统动力学在其子系系统与熵产生之间的相干能量转移之间产生了动态相关性,这可能导致熵的短暂减少,这是系统 - 环境相互作用的非马克维亚性质的独特特征。

In this article, we explore the dynamical decoherence of the chromophores within a green fluorescent protein when coupled to a finite-temperature dielectric environment. Such systems are of significant interest due to their anomalously long coherence lifetimes compared to other biomolecules. We work within the spin-boson model and employ the Hierarchical Equations of Motion formalism which allows for the accounting of the full non-perturbative and non-Markovian characteristics of the system dynamics. We analyse the level coherence of independent green fluorescent protein chromophores and the energy transfer dynamics in homo-dimer green fluorescent proteins, focusing on the effect of dielectric relaxation on the timescales of these systems. Using the Fluctuation-Dissipation theorem, we generate spectral densities from local electric susceptibility generated from Poisson's equation and employ a Debye dielectric model for the solvent environment. For different system architectures, we identify a number of very striking features in the dynamics of the chromophore induced by the dielectric relaxation of the environment, resulting in strong memory effects that extend the coherence lifetime of the system. Remarkably, the complex architecture of the green fluorescent protein, which includes a cavity-like structure around the atomic system, is well suited to preserving the coherences in the homo-dimer system. The system dynamics generate a dynamical correlation between the coherent energy transfer between its sub-systems and the entropy production, which can lead to transient reductions in entropy, a unique feature of the non-Markovian nature of the system-environment interaction.

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