Symmetry, form, and shape: guiding principles for robustness in macromolecular machines.

Florence Tama, Charles L Brooks
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引用次数: 259

Abstract

Computational studies of large macromolecular assemblages have come a long way during the past 10 years. With the explosion of computer power and parallel computing, timescales of molecular dynamics simulations have been extended far beyond the hundreds of picoseconds timescale. However, limitations remain for studies of large-scale conformational changes occurring on timescales beyond nanoseconds, especially for large macromolecules. In this review, we describe recent methods based on normal mode analysis that have enabled us to study dynamics on the microsecond timescale for large macromolecules using different levels of coarse graining, from atomically detailed models to those employing only low-resolution structural information. Emerging from such studies is a control principle for robustness in Nature's machines. We discuss this idea in the context of large-scale functional reorganization of the ribosome, virus particles, and the muscle protein myosin.

对称、形式和形状:大分子机器稳健性的指导原则。
在过去的十年中,大型大分子组合的计算研究取得了长足的进展。随着计算机能力和并行计算的迅猛发展,分子动力学模拟的时间尺度已经远远超出了几百皮秒的时间尺度。然而,对发生在纳秒以上时间尺度上的大规模构象变化的研究仍然存在局限性,特别是对大型大分子的研究。在这篇综述中,我们描述了基于正态分析的最新方法,这些方法使我们能够在微秒时间尺度上使用不同水平的粗粒化研究大型大分子的动力学,从原子细节模型到仅使用低分辨率结构信息的模型。从这样的研究中出现了自然机器的鲁棒性控制原理。我们在核糖体、病毒颗粒和肌肉蛋白肌球蛋白的大规模功能重组的背景下讨论这一观点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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