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一种用于量化整体滴定曲线中协同程度的量度。

A measure to quantify the degree of cooperativity in overall titration curves.

作者信息

Martini Johannes W R

机构信息

University of Goettingen, Göttingen, Germany.

出版信息

J Theor Biol. 2017 Nov 7;432:33-37. doi: 10.1016/j.jtbi.2017.08.010. Epub 2017 Aug 10.

Abstract

In the framework of the grand canonical ensemble, different definitions of cooperativity commonly used in the context of ligand binding are not equivalent. A unifying definition is the existence of non-real roots of the binding polynomial. Using this qualitative criterion, an open question is how to quantify the degree of cooperativity. In this work, we introduce a theoretical measure to quantify the degree of cooperativity of a titriation curve. Its definition is based on a minimal energy approach mapping a given binding polynomial to the minimal interaction energy which is required to generate it. We show that the degree of cooperativity can be calculated easily, if the molecule under consideration is assumed to consist of energetically identical binding sites. Moreover, the property of sub-multiplicativity allows us to determine upper bounds for the degree of cooperativity in asymmetric systems. The approach is consistent with the qualitative definition of cooperativity based on the existence of non-real roots of the binding polynomial, and thus helps to put the concept of cooperativity on a solid theoretical ground. It connects macro- and microstates, but takes here also into account that an infinite number of different molecules can cause the same macroscopic ligand binding behavior, which means that the underlying microsystem cannot be uniquely identified based on the titration curve only.

摘要

在巨正则系综的框架下,配体结合背景中常用的不同协同性定义并不等价。一个统一的定义是结合多项式存在非实根。使用这个定性标准,一个悬而未决的问题是如何量化协同程度。在这项工作中,我们引入一种理论度量来量化滴定曲线的协同程度。它的定义基于一种最小能量方法,该方法将给定的结合多项式映射到生成它所需的最小相互作用能。我们表明,如果假设所考虑的分子由能量上相同的结合位点组成,那么协同程度可以很容易地计算出来。此外,次可乘性属性使我们能够确定不对称系统中协同程度的上限。该方法与基于结合多项式非实根存在的协同性定性定义一致,从而有助于将协同性概念建立在坚实的理论基础上。它连接宏观态和微观态,但在此也考虑到无限数量的不同分子可能导致相同的宏观配体结合行为,这意味着仅基于滴定曲线无法唯一确定潜在的微观系统。

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