Institute of Molecular Biology, Slovak Academy of Sciences, Dúbravská cesta 21, 845 51 Bratislava, Slovakia.
Molecules. 2019 Sep 10;24(18):3293. doi: 10.3390/molecules24183293.
Normal mode analysis (NMA) is a technique that can be used to describe the flexible states accessible to a protein about an equilibrium position. These states have been shown repeatedly to have functional significance. NMA is probably the least computationally expensive method for studying the dynamics of macromolecules, and advances in computer technology and algorithms for calculating normal modes over the last 20 years have made it nearly trivial for all but the largest systems. Despite this, it is still uncommon for NMA to be used as a component of the analysis of a structural study. In this review, we will describe NMA, outline its advantages and limitations, explain what can and cannot be learned from it, and address some criticisms and concerns that have been voiced about it. We will then review the most commonly used techniques for reducing the computational cost of this method and identify the web services making use of these methods. We will illustrate several of their possible uses with recent examples from the literature. We conclude by recommending that NMA become one of the standard tools employed in any structural study.
正常模式分析(NMA)是一种可用于描述蛋白质在平衡位置附近可达到的柔性状态的技术。这些状态已被反复证明具有功能意义。NMA 可能是研究大分子动力学最计算成本最低的方法,并且在过去 20 年中,用于计算正常模式的计算机技术和算法的进步使得除了最大的系统之外,几乎所有系统都可以轻松实现。尽管如此,NMA 仍然很少作为结构研究分析的一部分使用。在这篇综述中,我们将描述 NMA,概述其优点和局限性,解释可以从 NMA 中学习到什么,以及解决一些已经提出的关于 NMA 的批评和担忧。然后,我们将回顾最常用的降低该方法计算成本的技术,并确定利用这些方法的网络服务。我们将使用文献中的最新示例来说明它们的一些可能用途。最后,我们建议 NMA 成为任何结构研究中使用的标准工具之一。