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基于时间结构的独立成分分析揭示分子动力学模拟中蛋白质骨架的慢动力学。

Slow dynamics of a protein backbone in molecular dynamics simulation revealed by time-structure based independent component analysis.

机构信息

Department of Supramolecular Biology, Graduate School of Nanobioscience, Yokohama City University, 1-7-29 Suehiro-cho, Tsurumi-ku, Yokohama 230-0045, Japan.

出版信息

J Chem Phys. 2013 Dec 7;139(21):215102. doi: 10.1063/1.4834695.

Abstract

We recently proposed the method of time-structure based independent component analysis (tICA) to examine the slow dynamics involved in conformational fluctuations of a protein as estimated by molecular dynamics (MD) simulation [Y. Naritomi and S. Fuchigami, J. Chem. Phys. 134, 065101 (2011)]. Our previous study focused on domain motions of the protein and examined its dynamics by using rigid-body domain analysis and tICA. However, the protein changes its conformation not only through domain motions but also by various types of motions involving its backbone and side chains. Some of these motions might occur on a slow time scale: we hypothesize that if so, we could effectively detect and characterize them using tICA. In the present study, we investigated slow dynamics of the protein backbone using MD simulation and tICA. The selected target protein was lysine-, arginine-, ornithine-binding protein (LAO), which comprises two domains and undergoes large domain motions. MD simulation of LAO in explicit water was performed for 1 μs, and the obtained trajectory of C(α) atoms in the backbone was analyzed by tICA. This analysis successfully provided us with slow modes for LAO that represented either domain motions or local movements of the backbone. Further analysis elucidated the atomic details of the suggested local motions and confirmed that these motions truly occurred on the expected slow time scale.

摘要

我们最近提出了基于时间结构的独立成分分析(tICA)方法,用于研究通过分子动力学(MD)模拟估计的蛋白质构象波动中的慢动力学[Y. Naritomi 和 S. Fuchigami,J. Chem. Phys. 134, 065101(2011)]。我们之前的研究侧重于蛋白质的结构域运动,并通过刚体结构域分析和 tICA 来研究其动力学。然而,蛋白质的构象变化不仅通过结构域运动,还通过涉及其主链和侧链的各种类型的运动来实现。其中一些运动可能发生在慢时间尺度上:我们假设如果是这样,我们可以使用 tICA 有效地检测和描述它们。在本研究中,我们使用 MD 模拟和 tICA 研究了蛋白质主链的慢动力学。选择的目标蛋白是赖氨酸、精氨酸、鸟氨酸结合蛋白(LAO),它由两个结构域组成,并经历大的结构域运动。在明水环境中对 LAO 进行了 1 μs 的 MD 模拟,并通过 tICA 分析了主链中 C(α)原子的轨迹。该分析成功地为 LAO 提供了慢模式,这些模式代表结构域运动或主链的局部运动。进一步的分析阐明了所建议的局部运动的原子细节,并证实了这些运动确实发生在预期的慢时间尺度上。

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