Center for Cell and Virus Theory, Department of Chemistry, Indiana University, Bloomington, Indiana 47405, United States.
J Phys Chem B. 2012 Jul 26;116(29):8423-34. doi: 10.1021/jp2119247. Epub 2012 Mar 9.
Coarse-grained features of macromolecular assemblies are understood via a set of order parameters (OPs) constructed in terms of their all-atom configuration. OPs are shown to be slowly changing in time and capture the large-scale spatial features of macromolecular assemblies. The relationship of these variables to the classic notion of OPs based on symmetry breaking phase transitions is discussed. OPs based on space warping transformations are analyzed in detail as they naturally provide a connection between overall structure of an assembly and all-atom configuration. These OPs serve as the basis of a multiscale analysis that yields Langevin equations for OP dynamics. In this context, the characteristics of OPs and PCA modes are compared. The OPs enable efficient all-atom multiscale simulations of the dynamics of macromolecular assemblies in response to changes in microenvironmental conditions, as demonstrated on the structural transitions of cowpea chlorotic mottle virus capsid (CCMV) and RNA of the satellite tobacco mosaic virus (STMV).
通过一组根据其全原子构型构建的序参数 (OP) 来理解大分子组装体的粗粒度特征。结果表明,OP 在时间上变化缓慢,捕获了大分子组装体的大尺度空间特征。讨论了这些变量与基于对称破缺相变的经典 OP 概念之间的关系。详细分析了基于空间翘曲变换的 OP,因为它们自然地提供了组装体的整体结构与全原子构型之间的联系。这些 OP 作为多尺度分析的基础,为 OP 动力学生成朗之万方程。在这种情况下,比较了 OP 和 PCA 模式的特征。OP 能够有效地对大分子组装体的动力学进行全原子多尺度模拟,以响应微观环境条件的变化,这在豇豆花叶病毒衣壳 (CCMV) 和卫星烟草花叶病毒 (STMV) RNA 的结构转变中得到了证明。