Determination of Protein–Ligand Binding Affinities by Thermal Shift Assay

Mohammad F. Khan, Mohammad M. Rahman, Yue Xin, Abdur Mustafa, Brian J. Smith, Karen M. Ottemann, Anna Roujeinikova
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Abstract

Quantification of protein–ligand interactions is crucial for understanding the protein’s biological function and for drug discovery. In this study, we employed three distinct approaches for determination of protein–ligand binding affinities by a thermal shift assay using a single ligand concentration. We present the results of the comparison of the performance of the conventional curve fitting (CF) method and two newly introduced methods - assuming zero heat capacity change across small temperature ranges (ZHC) and utilizing the unfolding equilibrium constant (UEC); the latter has the advantage of reducing calculations by obtaining the unfolding equilibrium constant directly from the experimental data. Our results highlight superior performance of the ZHC and UEC methods over the conventional CF method in estimating the binding affinity, irrespective of the ligand concentration. In addition, we evaluated how the new methods can be applied to high-throughput screening for potential binders, when the enthalpy (ΔHL) and molar heat capacity change (ΔCPL) of ligand binding are unknown. Our results suggest that, in this scenario, using the −300 cal K–1 mol–1 assumption for ΔCpL and either −5 kcal mol–1 or the average enthalpy efficiency-based estimation for ΔHL(T) can still provide reasonable estimates of the binding affinity. Incorporating the new methods into the workflow for screening of small drug-like molecules, typically conducted using single-concentration libraries, could greatly simplify and streamline the drug discovery process.

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通过热转移测定法确定蛋白质与配体的结合亲和力
蛋白质与配体相互作用的定量对于了解蛋白质的生物功能和药物发现至关重要。在本研究中,我们采用了三种不同的方法,利用单一配体浓度的热转移测定法确定蛋白质与配体的结合亲和力。我们展示了传统的曲线拟合(CF)方法和两种新引入方法的性能比较结果,前者是假设小温度范围内的热容量变化为零(ZHC),后者是利用解折平衡常数(UEC);后者的优点是可以直接从实验数据中获得解折平衡常数,从而减少计算量。我们的研究结果表明,与传统的 CF 方法相比,ZHC 和 UEC 方法在估算结合亲和力方面具有更优越的性能,而与配体浓度无关。此外,我们还评估了在配体结合焓(ΔHL)和摩尔热容量变化(ΔCPL)未知的情况下,如何将新方法应用于潜在结合体的高通量筛选。我们的研究结果表明,在这种情况下,使用-300 cal K-1 mol-1假设ΔCpL和-5 kcal mol-1或基于平均焓效率的估计ΔHL(T)仍然可以提供合理的结合亲和力估计值。将新方法纳入通常使用单浓度文库进行的类药物小分子筛选工作流程,可以大大简化和简化药物发现过程。
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