Institute of Structural and Molecular Biology, Division of Biosciences, University College London, London WC1E 6BT, United Kingdom.
Protein Sci. 2011 Sep;20(9):1607-18. doi: 10.1002/pro.692. Epub 2011 Aug 2.
The extent of enthalpy-entropy compensation in protein-ligand interactions has long been disputed because negatively correlated enthalpy (ΔH) and entropy (TΔS) changes can arise from constraints imposed by experimental and analytical procedures as well as through a physical compensation mechanism. To distinguish these possibilities, we have created quantitative models of the effects of experimental constraints on isothermal titration calorimetry (ITC) measurements. These constraints are found to obscure any compensation that may be present in common data representations and regression analyses (e.g., in ΔH vs. -TΔS plots). However, transforming the thermodynamic data into ΔΔ-plots of the differences between all pairs of ligands that bind each protein diminishes the influence of experimental constraints and representational bias. Statistical analysis of data from 32 diverse proteins shows a significant and widespread tendency to compensation. ΔΔH versus ΔΔG plots reveal a wide variation in the extent of compensation for different ligand modifications. While strong compensation (ΔΔH and -TΔΔS opposed and differing by < 20% in magnitude) is observed for 22% of modifications (twice that expected without compensation), 15% of modifications result in reinforcement (ΔΔH and -TΔΔS of the same sign). Because both enthalpy and entropy changes arise from changes to the distribution of energy states on binding, there is a general theoretical expectation of compensated behavior. However, prior theoretical studies have focussed on explaining a stronger tendency to compensation than actually found here. These results, showing strong but imperfect compensation, will act as a benchmark for future theoretical models of the thermodynamic consequences of ligand modification.
蛋白质-配体相互作用中的焓熵补偿程度一直存在争议,因为负相关的焓(ΔH)和熵(TΔS)变化可能是由实验和分析程序的约束以及物理补偿机制引起的。为了区分这些可能性,我们创建了定量模型来研究实验约束对等温滴定量热法(ITC)测量的影响。这些约束被发现掩盖了常见数据表示和回归分析中可能存在的任何补偿(例如,在ΔH 与-TΔS 图中)。然而,将热力学数据转换为所有结合每个蛋白质的配体之间差异的ΔΔ-图,可以减少实验约束和表示偏差的影响。对来自 32 种不同蛋白质的数据进行统计分析表明,存在明显且广泛的补偿趋势。ΔΔH 与 ΔΔG 图揭示了不同配体修饰的补偿程度的广泛变化。虽然对于 22%的修饰(没有补偿时的两倍)观察到强烈的补偿(ΔΔH 和-TΔΔS 相反,幅度相差 <20%),但 15%的修饰导致增强(ΔΔH 和-TΔΔS 具有相同的符号)。由于焓和熵的变化都来自于结合时能量状态分布的变化,因此有一个关于补偿行为的一般理论预期。然而,先前的理论研究集中于解释比这里实际发现的更强的补偿趋势。这些结果显示了强烈但不完美的补偿,将作为未来配体修饰热力学后果的理论模型的基准。