Liu Xiong, Karimi Hassan A
Wilmer Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
Brief Bioinform. 2007 Nov;8(6):432-45. doi: 10.1093/bib/bbm014. Epub 2007 May 7.
Protein function is a dynamic property closely related to the conformational mechanisms of protein structure in its physiological environment. To understand and control the function of target proteins, it becomes increasingly important to develop methods and tools for predicting collective motions at the molecular level. In this article, we review computational methods for predicting conformational dynamics and discuss software tools for data analysis. In particular, we discuss a high-throughput, web-based system called iGNM for protein structural dynamics. iGNM contains a database of protein motions for more than 20 000 PDB structures and supports online calculations for newly deposited PDB structures or user-modified structures. iGNM allows dynamics analysis of protein structures ranging from enzymes to large complexes and assemblies, and enables the exploration of protein sequence-structure-dynamics-function relations.
蛋白质功能是一种动态特性,在其生理环境中与蛋白质结构的构象机制密切相关。为了理解和控制目标蛋白质的功能,开发用于预测分子水平集体运动的方法和工具变得越来越重要。在本文中,我们综述了预测构象动力学的计算方法,并讨论了用于数据分析的软件工具。特别是,我们讨论了一种名为iGNM的基于网络的高通量蛋白质结构动力学系统。iGNM包含一个超过20000个PDB结构的蛋白质运动数据库,并支持对新存入的PDB结构或用户修改结构进行在线计算。iGNM允许对从酶到大型复合物和组装体的蛋白质结构进行动力学分析,并能够探索蛋白质序列-结构-动力学-功能关系。