Zhao Huaying, Brautigam Chad A, Ghirlando Rodolfo, Schuck Peter
Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, USA.
Curr Protoc Protein Sci. 2013 Feb;Chapter 20:Unit20.12. doi: 10.1002/0471140864.ps2012s71.
Modern computational strategies have allowed for the direct modeling of the sedimentation process of heterogeneous mixtures, resulting in sedimentation velocity (SV) size-distribution analyses with significantly improved detection limits and strongly enhanced resolution. These advances have transformed the practice of SV, rendering it the primary method of choice for most existing applications of analytical ultracentrifugation (AUC), such as the study of protein self- and hetero-association, the study of membrane proteins, and applications in biotechnology. New global multisignal modeling and mass conservation approaches in SV and sedimentation equilibrium (SE), in conjunction with the effective-particle framework for interpreting the sedimentation boundary structure of interacting systems, as well as tools for explicit modeling of the reaction/diffusion/sedimentation equations to experimental data, have led to more robust and more powerful strategies for the study of reversible protein interactions and multiprotein complexes. Furthermore, modern mathematical modeling capabilities have allowed for a detailed description of many experimental aspects of the acquired data, thus enabling novel experimental opportunities, with important implications for both sample preparation and data acquisition. The goal of the current unit is to describe the current tools for the study of soluble proteins, detergent-solubilized membrane proteins and their interactions by SV and SE.
现代计算策略已能够对非均匀混合物的沉降过程进行直接建模,从而实现沉降速度(SV)尺寸分布分析,其检测限显著提高,分辨率也大大增强。这些进展改变了SV的应用实践,使其成为分析超速离心(AUC)大多数现有应用的主要选择方法,如蛋白质自缔合和异缔合研究、膜蛋白研究以及生物技术应用。SV和沉降平衡(SE)中的新全局多信号建模和质量守恒方法,结合用于解释相互作用系统沉降边界结构的有效粒子框架,以及将反应/扩散/沉降方程显式建模到实验数据的工具,为研究可逆蛋白质相互作用和多蛋白复合物带来了更稳健、更强大的策略。此外,现代数学建模能力已能够对所获取数据的许多实验方面进行详细描述,从而带来了新的实验机会,这对样品制备和数据采集都具有重要意义。本单元的目标是描述目前用于通过SV和SE研究可溶性蛋白质、去污剂增溶膜蛋白及其相互作用的工具。