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首页> 外文期刊>PLoS Computational Biology >Discriminating between negative cooperativity and ligand binding to independent sites using pre-equilibrium properties of binding curves
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Discriminating between negative cooperativity and ligand binding to independent sites using pre-equilibrium properties of binding curves

机译:使用结合曲线的预平衡性质区分负合作性和配体与独立位点的结合

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Author summary When two successive events occur, it may make sense to know if they affect somehow each other, particularly if the properties of the second event are modified by the occurrence of the first one. Two scenarios lead to the same overall outcome: first, the two events are identical but they interfere with each other, and second, the two events are independent but non identical. The interference caused in the first scenario produces the same result as having a second event with different properties. Now, let's name these events as bindings, the interference as negative cooperativity, and the non-identical events as independent binding. In this work we focus on the dynamic process by which the two scenarios produce the same result. We selected a relevant but not characterized before property of the binding process, called its dynamic range, and found it behaves differently in these two scenarios and controlled by different parameters of interest. Based on this feature, we developed and algorithm to distinguish between negative cooperativity and independent binding based on the time evolution of the dynamic range. This tool allows to discover the microscopic model behind the data and may be useful in other similar problems in cell signaling.
机译:作者摘要当发生两个连续事件时,可以知道它们是否彼此影响,特别是如果第二事件的特性通过第一个事件修改。两种情况导致相同的总体结果:首先,这两个事件是相同的,但它们相互干扰,第二个事件是独立但不相同的。在第一场景中引起的干扰产生与具有不同属性的第二事件的结果相同的结果。现在,让我们将这些事件命名为绑定,干扰作为负合作性,以及非相同事件作为独立绑定。在这项工作中,我们专注于两个场景产生相同结果的动态过程。我们选择了绑定过程的属性,称为其动态范围之前的相关但没有表现,并且发现它在这两个场景中的行为不同,并由感兴趣的不同参数控制。基于该特征,我们开发了基于动态范围的时间演变的负合作性和独立绑定的区分和算法。该工具允许发现数据背后的微观模型,并且可以在单元信令中的其他类似问题中有用。

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