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从等温滴定量热法数据中确定动力学常数的可行性。

The feasibility of determining kinetic constants from isothermal titration calorimetry data.

机构信息

Department of Biophysics, UT Southwestern Medical Center, Dallas, Texas.

Wellcome Trust Centre Cell Matrix Research, Faculty of Biology Medicine and Health, University of Manchester, Manchester, England.

出版信息

Biophys J. 2022 Jun 21;121(12):2474-2484. doi: 10.1016/j.bpj.2022.04.035. Epub 2022 Apr 30.

Abstract

Isothermal titration calorimetry (ITC) has long been established as an excellent means to determine the thermodynamic parameters of biomolecular interactions. More recently, efforts have focused on exploiting the power/time trace (the "thermogram") resulting from ITC experiments to glean kinetic association and dissociation rates for these interactions. The success of such analyses rests on the ability of algorithms to simulate with high accuracy the output of the calorimeter. Thus, several critical factors must be taken into account: the injection protocol, the kinetics of the interaction, accurate discovery of the instrumental response to heat signals, and the addition of unrelated signals. All of these aspects of extracting kinetic constants from thermograms have been considered and addressed in the current work. To validate the resultant methods, we performed several ITC experiments, titrating small-molecule inhibitors into solutions of bovine carbonic anhydrase II or titrating lysozyme into solutions of anti-lysozyme nanobodies. We found that our methods could arrive at kinetic constants that were close to the known values for these interactions taken from other methods. Finally, the effort to improve ITC kinetic characterizations uncovered a set of best practices for both the calorimetric experiment and the subsequent analyses (termed "kinetically optimized ITC" or "KO-ITC") that is detailed in this work.

摘要

等温滴定量热法(ITC)长期以来一直被认为是确定生物分子相互作用热力学参数的一种极好的方法。最近,人们的研究重点已经转向利用 ITC 实验产生的功率/时间轨迹(“热谱”)来获取这些相互作用的动力学结合和解离速率。这些分析的成功取决于算法以高精度模拟热量计输出的能力。因此,必须考虑几个关键因素:注射方案、相互作用的动力学、对热信号的仪器响应的准确发现,以及无关信号的添加。本工作考虑并解决了从热谱中提取动力学常数的所有这些方面。为了验证所得方法,我们进行了几次 ITC 实验,将小分子抑制剂滴定到牛碳酸酐酶 II 的溶液中,或将溶菌酶滴定到抗溶菌酶纳米抗体的溶液中。我们发现,我们的方法可以得到与这些相互作用的已知值非常接近的动力学常数,这些值是从其他方法获得的。最后,改进 ITC 动力学特性的努力揭示了一套适用于热量计实验和后续分析的最佳实践(称为“动力学优化 ITC”或“KO-ITC”),本工作对此进行了详细介绍。

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本文引用的文献

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