Flexibility and assembly of viral capsids

M. Thorpe
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Abstract

We present a novel approach to the calculation of flexibility and mobility in proteins, protein complexes and other large macromolecular complexes like virus capsids. Rather than using conventional molecular dynamics, we use the constraint approach of Lagrange, incorporating covalent bonds, hydrogen bonds and tethers for hydrophobic interactions. The rigid clusters, including the core, as well as the flexible joints between them are identified. Subsequently, this can be used as the basis for dynamics, using Monte Carlo approaches that maintain all the original constraints, as well as van der Waals excluded volumes. In our original work [1,2], we focused on ring closure and added the side groups later. This was successful in exploring the available conformational space and also in exploring directed trajectories between known distinct protein structures. We show that such techniques can be used on a single X-ray crystallographic structure to generate an ensemble of structures remarkably similar to those observed in NMR [2]. We also show how this approach can be used to generate multiple protein complexes for use in ligand docking studies, as well as exploring the allowed conformations of protein‐ligand complexes. This approach, applied at the atomic level, can handle macromolecular assemblies of up to a million atoms, to determine the rigid regions and the flexible joints between them. An application of this approach to the stability and assembly of an icosahedral viral capsid and cowpea chlorotic mottle virus are discussed [3].
病毒衣壳的灵活性和组装
我们提出了一种新的方法来计算蛋白质、蛋白质复合物和其他大型大分子复合物(如病毒衣壳)的柔韧性和流动性。而不是使用传统的分子动力学,我们使用拉格朗日的约束方法,结合共价键,氢键和系绳的疏水相互作用。确定了刚性集群,包括核心,以及它们之间的柔性关节。随后,这可以用作动力学的基础,使用蒙特卡罗方法保持所有原始约束,以及范德华排除的体积。在我们最初的工作[1,2]中,我们主要关注环闭包,并在之后添加了侧群。这在探索可用的构象空间和探索已知不同蛋白质结构之间的定向轨迹方面是成功的。我们表明,这种技术可以用于单个x射线晶体学结构,以产生与NMR[2]中观察到的结构非常相似的结构系综。我们还展示了如何使用这种方法生成用于配体对接研究的多种蛋白质复合物,以及探索蛋白质-配体复合物的允许构象。这种方法应用于原子水平,可以处理多达一百万个原子的大分子组件,以确定它们之间的刚性区域和柔性关节。本文讨论了该方法在二十面体病毒衣壳的稳定性和组装以及豇豆绿斑病毒中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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