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Multiscale network model for large protein dynamics

机译:大型蛋白质动力学的多尺度网络模型

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Protein dynamics is essential for gaining insight into biological functions of proteins. Although protein dynamics is well delineated by molecular model, the molecular model is computationally prohibited for simulating large protein structures. In this work, we provide a multiscale network model (MNM) that allows the efficient computation on low-frequency normal modes related to structural deformation of proteins as well as dynamic behavior of functional sites. Specifically, MNM consists of two regions, one of which is described as a low-resolution structure, while the other is dictated by a high-resolution structure. The high-resolution regions using all alpha carbons of the protein are mainly binding site parts, which play a critical function in molecules, while the low-resolution parts are constructed from a further coarse-grained model (not using all alpha carbons). The feasibility of MNM to observe the cooperative motion of a protein structure was validated. It was shown that the MNM enables us to understand functional motion of proteins with computational efficiency.
机译:蛋白质动力学对于深入了解蛋白质的生物学功能至关重要。尽管分子模型很好地描述了蛋白质动力学,但是在模拟大型蛋白质结构时,分子模型在计算上是被禁止的。在这项工作中,我们提供了一个多尺度网络模型(MNM),该模型允许对与蛋白质的结构变形以及功能位点的动态行为有关的低频正常模式进行有效的计算。具体而言,MNM由两个区域组成,其中一个区域称为低分辨率结构,而另一个区域则由高分辨率结构决定。使用该蛋白质所有α碳的高分辨率区域主要是结合位点部分,它们在分子中起关键作用,而低分辨率部分则由进一步的粗粒度模型构建(不使用所有α碳)。验证了MNM观察蛋白质结构协同运动的可行性。结果表明,MNM使我们能够以计算效率理解蛋白质的功能运动。

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