Martini Johannes W R, Diambra Luis, Habeck Michael
Max Planck Institute for Developmental Biology, Tübingen, Germany.
Felix Bernstein Institute for Mathematical Statistics in the Biosciences, Georg-August University Göttingen, Göttingen, Germany.
J Math Biol. 2016 Jun;72(7):1747-74. doi: 10.1007/s00285-015-0922-z. Epub 2015 Aug 29.
Cooperative binding has been described in many publications and has been related to or defined by several different properties of the binding behavior of the ligand to the target molecule. In addition to the commonly used Hill coefficient, other characteristics such as a sigmoidal shape of the overall titration curve in a linear plot, a change of ligand affinity of the other binding sites when a site of the target molecule becomes occupied, or complex roots of the binding polynomial have been used to define or to quantify cooperative binding. In this work, we analyze how the different properties are related in the most general model for binding curves based on the grand canonical partition function and present several examples which highlight differences between the cooperativity characterizing properties which are discussed. Our results mainly show that among the presented definitions there are not two which fully coincide. Moreover, this work poses the question whether it can make sense to distinguish between positive and negative cooperativity based on the macroscopic binding isotherm only. This article shall emphasize that scientists who investigate cooperative effects in biological systems could help avoiding misunderstandings by stating clearly which kind of cooperativity they discuss.
协同结合已在许多出版物中有所描述,并与配体与靶分子结合行为的几种不同性质相关或由其定义。除了常用的希尔系数外,诸如线性图中整体滴定曲线的S形、靶分子的一个位点被占据时其他结合位点的配体亲和力变化,或结合多项式的复根等其他特征也已被用于定义或量化协同结合。在这项工作中,我们基于巨正则配分函数分析了在最通用的结合曲线模型中不同性质是如何关联的,并给出了几个例子,突出了所讨论的协同性表征性质之间的差异。我们的结果主要表明,在所给出的定义中,没有两个是完全一致的。此外,这项工作还提出了一个问题,即仅基于宏观结合等温线来区分正协同性和负协同性是否有意义。本文应强调,研究生物系统中协同效应的科学家通过明确说明他们所讨论的协同性类型,有助于避免误解。