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利用结合曲线的平衡前性质区分负协同作用和配体结合到独立位点。

Discriminating between negative cooperativity and ligand binding to independent sites using pre-equilibrium properties of binding curves.

机构信息

Department of Physiology, Molecular and Cellular Biology, University of Buenos Aires, Buenos Aires, Argentina.

Institute of Physiology, Molecular Biology and Neurosciences, National Research Council (CONICET), Buenos Aires, Argentina.

出版信息

PLoS Comput Biol. 2020 Jun 4;16(6):e1007929. doi: 10.1371/journal.pcbi.1007929. eCollection 2020 Jun.

Abstract

Negative cooperativity is a phenomenon in which the binding of a first ligand or substrate molecule decreases the rate of subsequent binding. This definition is not exclusive to ligand-receptor binding, it holds whenever two or more molecules undergo two successive binding events. Negative cooperativity turns the binding curve more graded and cannot be distinguished from two independent and different binding events based on equilibrium measurements only. The need of kinetic data for this purpose was already reported. Here, we study the binding response as a function of the amount of ligand, at different times, from very early times since ligand is added and until equilibrium is reached. Over those binding curves measured at different times, we compute the dynamic range: the fold change required in input to elicit a change from 10 to 90% of maximum output, finding that it evolves in time differently and controlled by different parameters in the two situations that are identical in equilibrium. Deciphering which is the microscopic model that leads to a given binding curve adds understanding on the molecular mechanisms at play, and thus, is a valuable tool. The methods developed in this article were tested both with simulated and experimental data, showing to be robust to noise and experimental constraints.

摘要

负协同性是一种现象,即第一个配体或底物分子的结合降低了随后结合的速率。这个定义不仅适用于配体-受体结合,当两个或更多分子经历两个连续的结合事件时,它也适用。负协同性使结合曲线变得更加分级,仅基于平衡测量,无法将其与两个独立且不同的结合事件区分开来。为此目的需要动力学数据的这一点已经有报道。在这里,我们研究了在不同时间点作为配体量函数的结合响应,从添加配体后非常早期到达到平衡的时间点。在测量不同时间点的那些结合曲线时,我们计算了动态范围:为了从最大输出的 10%变化到 90%,输入需要变化的倍数,发现它在不同时间演变,并由两种情况中不同的参数控制,而这两种情况在平衡时是相同的。解析导致给定结合曲线的微观模型增加了对发挥作用的分子机制的理解,因此是一种有价值的工具。本文中开发的方法已经在模拟和实验数据中进行了测试,结果表明它们对噪声和实验限制具有鲁棒性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3baa/7297384/0a6d8af85638/pcbi.1007929.g001.jpg

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