Department of Biochemistry, The University of Texas Health Science Center at San Antonio, San Antonio, Texas 78229, USA.
Macromol Biosci. 2010 Jul 7;10(7):775-82. doi: 10.1002/mabi.200900481.
We compare here the utility of sedimentation velocity (SV) to sedimentation equilibrium (SE) analysis for the characterization of reversible systems. Genetic algorithm optimization in UltraScan is used to optimize the model and to obtain solution properties of all components present in the system. We apply our method to synthetic and experimental data, and suggest limits for the accessible kinetic range. We conclude that equilibrium constants obtained from SV and SE analysis are equivalent, but that SV experiments provide better confidence for the K(d), can better account for the presence of contaminants and provide additional information including rate constants and shape parameters.
我们在这里比较了沉降速度（SV）和沉降平衡（SE）分析在可逆系统表征中的效用。UltraScan 中的遗传算法优化用于优化模型并获得系统中所有存在组分的溶液性质。我们将我们的方法应用于合成和实验数据，并提出了可访问动力学范围的限制。我们得出结论，从 SV 和 SE 分析获得的平衡常数是等效的，但 SV 实验为 K(d)提供了更好的置信度，可以更好地解释污染物的存在，并提供包括速率常数和形状参数在内的其他信息。
