计算机科学
数据科学
模式(计算机接口)
职位(财务)
组分(热力学)
管理科学
风险分析(工程)
算法
工程类
人机交互
财务
医学
热力学
物理
经济
作者
Jacob Bauer,Jelena Pavlović,Vladena Bauerová‐Hlinková
出处
期刊:Molecules
[Multidisciplinary Digital Publishing Institute]
日期:2019-09-10
卷期号:24 (18): 3293-3293
被引量:84
标识
DOI:10.3390/molecules24183293
摘要
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.
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