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生物分子异构化模型中坐标间的动态耦合。

Dynamic coupling between coordinates in a model for biomolecular isomerization.

作者信息

Ma Ao, Nag Ambarish, Dinner Aaron R

机构信息

Department of Chemistry, James Franck Institute, and Institute for Biophysical Dynamics, The University of Chicago, 5640 S. Ellis Avenue, Chicago, Illinois 60637, USA.

出版信息

J Chem Phys. 2006 Apr 14;124(14):144911. doi: 10.1063/1.2183768.

Abstract

To understand a complex reaction, it is necessary to project the dynamics of the system onto a low-dimensional subspace of physically meaningful coordinates. We recently introduced an automatic method for identifying coordinates that relate closely to stable-state commitment probabilities and successfully applied it to a model for biomolecular isomerization, the C(7eq)-->alpha(R) transition of the alanine dipeptide [A. Ma and A. R. Dinner, J. Phys. Chem. B 109, 6769 (2005)]. Here, we explore approximate means for estimating diffusion tensors for systems subject to restraints in one and two dimensions and then use the results together with an extension of Kramers theory for unimolecular reaction rates [A. Berezhkovskii and A. Szabo, J. Chem. Phys. 122, 014503 (2005)] to show explicitly that both the potential of mean force and the diffusion tensor are essential for describing the dynamics of the alanine dipeptide quantitatively. In particular, the signficance of off-diagonal elements of the diffusion tensor suggests that the coordinates of interest are coupled by the hydrodynamic-like response of the bath of remaining degrees of freedom.

摘要

为了理解一个复杂反应,有必要将系统的动力学投影到具有物理意义坐标的低维子空间上。我们最近引入了一种自动方法来识别与稳态承诺概率密切相关的坐标,并成功地将其应用于一个生物分子异构化模型,即丙氨酸二肽的C(7eq)-->α(R)转变 [A. Ma和A. R. Dinner,《物理化学杂志B》109,6769 (2005)]。在这里,我们探索了在一维和二维受约束系统中估计扩散张量的近似方法,然后将结果与单分子反应速率的Kramers理论扩展 [A. Berezhkovskii和A. Szabo,《化学物理杂志》122,014503 (2005)] 一起使用,以明确表明平均力势和扩散张量对于定量描述丙氨酸二肽的动力学都是必不可少的。特别是,扩散张量非对角元素的重要性表明,感兴趣的坐标通过其余自由度浴的类流体动力学响应相互耦合。

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