Tso Shih-Chia, Chen Qiuyan, Vishnivetskiy Sergey A, Gurevich Vsevolod V, Iverson T M, Brautigam Chad A
Department of Biophysics, The University of Texas Southwestern Medical Center, Dallas, TX, USA.
Department of Pharmacology, Vanderbilt University Medical Center, Nashville, TN, USA.
Anal Biochem. 2018 Jan 1;540-541:64-75. doi: 10.1016/j.ab.2017.10.013. Epub 2017 Oct 18.
The emergence of microscale thermophoresis (MST) as a technique for determining the dissociation constants for bimolecular interactions has enabled these quantities to be measured in systems that were previously difficult or impracticable. However, most models for analyses of these data featured the assumption of a simple 1:1 binding interaction. The only model widely used for multiple binding sites was the Hill equation. Here, we describe two new MST analytic models that assume a 1:2 binding scheme: the first features two microscopic binding constants (K(1) and K(2)), while the other assumes symmetry in the bivalent molecule, culminating in a model with a single macroscopic dissociation constant (K) and a single factor (α) that accounts for apparent cooperativity in the binding. We also discuss the general applicability of the Hill equation for MST data. The performances of the algorithms on both real and simulated data are assessed, and implementation of the algorithms in the MST analysis program PALMIST is discussed.
微尺度热泳技术(MST)作为一种测定双分子相互作用解离常数的技术,使得这些参数能够在以往难以或无法实现的体系中进行测量。然而,大多数用于分析这些数据的模型都假定存在简单的1:1结合相互作用。唯一广泛用于多结合位点的模型是希尔方程。在此,我们描述了两种假定为1:2结合模式的新型MST分析模型:第一种具有两个微观结合常数(K(1)和K(2)),而另一种假定二价分子具有对称性,最终得到一个具有单一宏观解离常数(K)和一个解释结合中表观协同性的单一因子(α)的模型。我们还讨论了希尔方程对MST数据的一般适用性。评估了算法在真实数据和模拟数据上的性能,并讨论了算法在MST分析程序PALMIST中的实现。