简化蛋白质柔韧性分析

Y. Sanejouand
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引用次数: 0

摘要

了解蛋白质可能的功能运动的一种简单方法是进行正常模式分析(NMA)。事实上,研究表明,由此获得的低频模式往往与蛋白质功能中涉及的结构域运动密切相关。此外,由于已知蛋白质低频模式具有鲁棒性,因此可以使用粗粒度模型进行NMA。因此,它既可以用于大型构象集合,也可以用于大型系统,如核糖体、整个病毒衣壳等。出乎意料的是,在高频方面,使用基于截止的粗粒度模型获得的模式似乎也能够提供有关蛋白质动力学特性的有用见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simplified flexibility analysis of proteins
A simple way to get insights about the possible functional motions of a protein is to perform a normal mode analysis (NMA). Indeed, it has been shown that low-frequency modes thus obtained are often closely related to domain motions involved in protein function. Moreover, because protein low-frequency modes are known to be robust, NMA can be performed using coarse-grained models. As a consequence, it can be done for large ensembles of conformations as well as for large systems, like the ribosome, whole virus capsids, etc. Unexpectedly, on the high-frequency side, modes obtained with cutoff-based coarse-grained models also seem able to provide useful insights on protein dynamical properties.
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