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Predicting allosteric communication pathways using motion correlation network

机译:使用运动相关网络预测变构通信路径

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Background: Allosteric regulation can be described as the binding of an effector at one site switches the functionality of another site, often at distance. Although a wide variety of models have been proposed, the underlying mechanism of the allosteric communication remains unclear. In this work, we hypothesize that the allosteric communication between the allosteric site and catalytic site should be carried out along pathways of residues that have strongly correlated motions, so that information such as conformation change can be quickly transduced from one site to another.Results: (ⅰ) The intramolecular communication pathways of 10 out of 15 myosin proteins derived from our Motion Correlation Network (MCN) model agree with the pathways derived from multiple sequence alignment (MSA) in a very high statistically significant level (<1.0E -08). (ⅱ) The pathways of the remaining 5 myosin proteins, which all fall in the post-rigor state, are completely different from the pathways obtained from MSA and the disagreement suggests the possibility of the existence of a different route in the post-rigor state. (ⅲ) The intramolecular communication pathways of thrombin derived from our method agree with the pathways derived from electron density maps in a high statistically significant level (< 1.0E-05).Conclusions: We provide a simple and computationally inexpensive approach to identify the putative allosteric communication pathways. The excellent agreement between our results and previous works supports our hypothesis that the most efficient allosteric communication is through pathways of residues that have strongly correlated motions. Such an agreement also implies that sequence conservation, which has been used to identify allosteric communication pathways, may have a dynamics origin.
机译:背景技术可以将变形调节描述为一个站点的效应器的结合切换另一个站点的功能,通常在距离处。虽然已经提出了各种各样的模型,但颠覆性通信的潜在机制仍不清楚。在这项工作中,我们假设颠覆性位点和催化位点之间的变构沟通应沿着具有强烈相关运动的残留物的途径进行,因此可以快速地从一个站点转换为另一个站点的信息。结果: (Ⅰ)从我们的运动相关网络(MCN)模型的15个肌蛋白中10个中的分子内通信途径与从多个序列对准(MSA)的途径相一致(<1.0e -08)衍生自多个序列对准(MSA) 。 (Ⅱ)剩余的5个肌苷蛋白的途径,所有霉菌蛋白质均落入严格的状态,与来自MSA获得的途径完全不同,并且分歧表明,在恶作剧状态下存在不同路线的可能性。 (Ⅲ)从我们的方法中衍生自凝血酶的分子内通信途径与在高统计学显着水平(<1.0E-05)中的电子密度图中达到的途径。:我们提供了一种简单和计算廉价的方法来识别推定变构通信路径。我们的结果与以前作品之间的良好协议支持我们的假设,即最有效的变构沟通是通过具有强烈相关动作的残留物的路径。这种协议还意味着已经用于识别颠覆通信途径的序列保护可能具有动态来源。

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