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对称性、形式与形状:大分子机器稳健性的指导原则

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

作者信息

Tama Florence, Brooks Charles L

机构信息

Department of Molecular Biology, The Scripps Research Institute, La Jolla, California 92037, USA.

出版信息

Annu Rev Biophys Biomol Struct. 2006;35:115-33. doi: 10.1146/annurev.biophys.35.040405.102010.

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.

摘要

在过去十年中,对大型大分子聚集体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远远超出了数百皮秒的范围。然而,对于在纳秒以上时间尺度上发生的大规模构象变化的研究,尤其是对于大型大分子,仍然存在局限性。在这篇综述中,我们描述了基于简正模式分析的最新方法,这些方法使我们能够使用不同程度的粗粒度,从原子级详细模型到仅使用低分辨率结构信息的模型,来研究大型大分子在微秒时间尺度上的动力学。从这些研究中浮现出一条关于自然界机器稳健性的控制原则。我们将在核糖体、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。

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