Winzor Donald J, Jackson Craig M
Department of Biochemistry, School of Molecular and Microbial Sciences, University of Queensland, Brisbane, Queensland 4072, Australia.
J Mol Recognit. 2006 Sep-Oct;19(5):389-407. doi: 10.1002/jmr.799.
The objective of this review is to draw attention to potential pitfalls in attempts to glean mechanistic information from the magnitudes of standard enthalpies and entropies derived from the temperature dependence of equilibrium and rate constants for protein interactions. Problems arise because the minimalist model that suffices to describe the energy differences between initial and final states usually comprises a set of linked equilibria, each of which is characterized by its own energetics. For example, because the overall standard enthalpy is a composite of those individual values, a positive magnitude for DeltaH(o) can still arise despite all reactions within the subset being characterized by negative enthalpy changes: designation of the reaction as being entropy driven is thus equivocal. An experimenter must always bear in mind the fact that any mechanistic interpretation of the magnitudes of thermodynamic parameters refers to the reaction model rather than the experimental system. For the same reason there is little point in subjecting the temperature dependence of rate constants for protein interactions to transition-state analysis. If comparisons with reported values of standard enthalpy and entropy of activation are needed, they are readily calculated from the empirical Arrhenius parameters.
本综述的目的是提请注意在试图从蛋白质相互作用的平衡常数和速率常数的温度依赖性所导出的标准焓和熵的大小中获取机理信息时可能存在的陷阱。出现问题的原因是,足以描述初始态和终态之间能量差异的极简模型通常包含一组相互关联的平衡,其中每一个平衡都有其自身的能量特征。例如,由于整体标准焓是那些个别值的综合,尽管子集中的所有反应的特征都是焓变负,但ΔH⁰仍可能出现正值:因此将该反应指定为熵驱动是模棱两可的。实验者必须始终牢记,对热力学参数大小的任何机理解释都指的是反应模型而非实验系统。出于同样的原因,对蛋白质相互作用速率常数的温度依赖性进行过渡态分析没有什么意义。如果需要与报道的活化焓和活化熵的值进行比较,它们可以很容易地从经验阿仑尼乌斯参数计算得出。