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甲硫氨酸脑啡肽的长期动力学:理论与布朗动力学模拟的比较

Long-time dynamics of Met-enkephalin: comparison of theory with Brownian dynamics simulations.

作者信息

Kostov K S, Freed K F

机构信息

James Franck Institute, The University of Chicago, Chicago, Illinois 60637

出版信息

Biophys J. 1999 Jan;76(1 Pt 1):149-63. doi: 10.1016/S0006-3495(99)77185-7.

Abstract

A recent theory for the long time dynamics of flexible chain molecules is applied for the first time to a peptide of biological importance, the neurotransmitter met-enkephalin. The dynamics of met-enkephalin is considerably more complicated than that of the previously studied glycine oligomers; met-enkephalin contains the interesting motions of phenyl groups and of side chains relative to the backbone, motions that are present in general flexible peptides. The theory extends the generalized Rouse (GR) model used to study the dynamics of polymers by providing a systematic procedure for including the contributions from the memory function matrices neglected in the GR theory. The new method describes the dynamics by time correlation functions instead of individual trajectories. These correlation functions are analytically expressed in terms of a set of equilibrium averages and the eigenvalues and eigenfunctions of the diffusion operator. The predictions of the theory are compared with Brownian dynamics (BD) simulations, so that both theory and simulation use identical potential functions and solvent models. The theory thus contains no adjustable parameters. Inclusion of the memory function contributions profoundly affects the dynamics. The theory produces very good agreement with the BD simulations for the global motions of met-enkephalin. It also correctly predicts the long-time relaxation rate for local motions.

摘要

一种关于柔性链分子长时间动力学的最新理论首次应用于具有生物学重要性的肽——神经递质甲硫氨酸脑啡肽。甲硫氨酸脑啡肽的动力学比之前研究的甘氨酸寡聚物的动力学要复杂得多;甲硫氨酸脑啡肽包含苯基和侧链相对于主链的有趣运动,这些运动在一般的柔性肽中都存在。该理论通过提供一种系统的程序来扩展用于研究聚合物动力学的广义劳斯(GR)模型,该程序用于纳入GR理论中被忽略的记忆函数矩阵的贡献。新方法通过时间关联函数而非单个轨迹来描述动力学。这些关联函数根据一组平衡平均值以及扩散算子的本征值和本征函数进行解析表达。将该理论的预测结果与布朗动力学(BD)模拟进行比较,以便理论和模拟都使用相同的势函数和溶剂模型。因此,该理论不包含可调参数。纳入记忆函数贡献会深刻影响动力学。该理论对于甲硫氨酸脑啡肽的整体运动与BD模拟结果非常吻合。它还正确地预测了局部运动的长时间弛豫速率。

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