利用 Lamm 方程对沉降速度数据进行建模，以确定大分子相互作用的动力学和热力学性质。
Using Lamm-Equation modeling of sedimentation velocity data to determine the kinetic and thermodynamic properties of macromolecular interactions.
机构信息
Department of Biochemistry, The University of Texas Southwestern Medical Center at Dallas, 5323 Harry Hines Blvd., Dallas, TX 75390-8816, USA.
出版信息
Methods. 2011 May;54(1):4-15. doi: 10.1016/j.ymeth.2010.12.029. Epub 2010 Dec 25.
Abstract
The interaction of macromolecules with themselves and with other macromolecules is fundamental to the functioning of living systems. Recent advances in the analysis of sedimentation velocity (SV) data obtained by analytical ultracentrifugation allow the experimenter to determine important features of such interactions, including the equilibrium association constant and information about the kinetic off-rate of the interaction. The determination of these parameters is made possible by the ability of modern software to fit numerical solutions of the Lamm Equation with kinetic considerations directly to SV data. Herein, the SV analytical advances implemented in the software package SEDPHAT are summarized. Detailed analyses of SV data using these strategies are presented. Finally, a few highlights of recent literature reports that feature this type of SV data analysis are surveyed.
摘要
大分子与其自身以及与其他大分子的相互作用是生命系统发挥功能的基础。最近在分析超速离心法获得的沉降速度 (SV) 数据方面的进展，使实验者能够确定此类相互作用的重要特征，包括平衡缔合常数以及相互作用的动力学离速信息。现代软件将拉曼方程的数值解与动力学考虑因素直接拟合到 SV 数据的能力，使得这些参数的确定成为可能。本文总结了在 SEDPHAT 软件包中实现的 SV 分析进展。本文还介绍了使用这些策略对 SV 数据进行详细分析的情况。最后，调查了一些最近的文献报告，这些报告的特点是进行了这种类型的 SV 数据分析。
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