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Rigidity Analysis of Protein Molecules

机译:蛋白质分子的刚性分析

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摘要

Intrinsic flexibility of protein molecules enables them to change their 3D structure and perform their specific task. Therefore, identifying rigid regions and consequently flexible regions of proteins has a significant role in studying protein molecules' function. In this study, we developed a kinematic model of protein molecules considering all covalent and hydrogen bonds in protein structure. Then, we used this model and developed two independent rigidity analysis methods to calculate degrees of freedom (DOF) and identify flexible and rigid regions of the proteins. The first method searches for closed loops inside the protein structure and uses Gruebler-Kutzbach (GK) criterion. The second method is based on a modified 3D pebble game. Both methods are implemented in a MATLAB program and the step by step algorithms for both are discussed. We applied both methods on simple 3D structures to verify the methods. Also, we applied them on several protein molecules. The results show that both methods are calculating the same DOF and rigid and flexible regions. The main difference between two methods is the run time. It's shown that the first method (GK approach) is slower than the second method. The second method takes 0.29 s per amino acid versus 0.83 s for the first method to perform this rigidity analysis.
机译:蛋白质分子的固有灵活性使它们能够改变其3D结构并执行其特定任务。因此,鉴定蛋白质的刚性区域以及因此的柔性区域在研究蛋白质分子的功能中具有重要作用。在这项研究中,我们考虑到蛋白质结构中的所有共价键和氢键,建立了蛋白质分子的运动学模型。然后,我们使用该模型并开发了两种独立的刚性分析方法来计算自由度(DOF)并识别蛋白质的柔性和刚性区域。第一种方法在蛋白质结构内部搜索闭环,并使用Gruebler-Kutzbach(GK)准则。第二种方法基于改进的3D卵石游戏。两种方法都在MATLAB程序中实现,并讨论了两种方法的逐步算法。我们将两种方法都应用于简单的3D结构以验证方法。此外,我们将它们应用于几种蛋白质分子。结果表明,两种方法都可以计算相同的自由度以及刚性和柔性区域。两种方法之间的主要区别是运行时间。结果表明,第一种方法(GK方法)比第二种方法慢。第二种方法每个氨基酸需要0.29 s的时间,而第一种方法需要0.83 s的时间来执行这种刚性分析。

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