Prediction of interface between regions of varying degrees of order or disorderness in intrinsically disordered proteins from dihedral angles.

IF 2.7 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Babli Sharma, Venkata Satish Kumar Mattaparthi
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引用次数: 0

Abstract

Intrinsically disordered proteins (IDPs) are proteins that do not form uniquely defined three-dimensional (3-D) structures. Experimental research on IDPs is difficult since they go against the traditional protein structure-function paradigm. Although there are several predictors of disorder based on amino acid sequences, but very limited based on the 3-D structures of proteins. Dihedral angles have a significant role in predicting protein structure because they establish a protein's backbone, which, coupled with its side chain, establishes its overall shape. Here, we have carried out atomistic Molecular Dynamics (MD) simulations on four different proteins: one ordered protein (Monellin), two partially disordered proteins (p53-TAD and Amyloid beta (Aβ1-42) peptide), and one completely disordered protein (Histatin 5). The MD simulation trajectories for the corresponding four proteins were used to conduct dihedral angle (ϕ and ѱ) analysis. Then, the average dihedral angles for each of the residues were calculated and plotted against the residue index. We noticed steep rises or falls in the average ϕ value at certain locations in the plot. These sudden shifts in the average ϕ value reflect the interface between regions of varying degrees of order or disorderness in intrinsically disordered proteins. Using this method, the probable conformer of a protein with a higher degree of disorder can be found among the ensembles of structures sampled during the MD simulations. The results of our study offer new understandings on precisely identifying regions of various degrees of disorder in intrinsically disordered proteins.

从二面角预测内在无序蛋白质中不同有序度或无序度区域之间的界面。
本质无序蛋白(IDPs)是指不能形成唯一定义的三维(3-D)结构的蛋白质。由于 IDPs 违背了传统的蛋白质结构-功能范式,因此有关 IDPs 的实验研究十分困难。虽然有几种基于氨基酸序列的紊乱预测方法,但基于蛋白质三维结构的预测方法非常有限。二面角在预测蛋白质结构方面具有重要作用,因为二面角确定了蛋白质的骨架,骨架与侧链共同确定了蛋白质的整体形状。在这里,我们对四种不同的蛋白质进行了原子分子动力学(MD)模拟:一种有序蛋白质(Monellin)、两种部分无序蛋白质(p53-TAD 和淀粉样蛋白 beta (Aβ1-42) 肽)和一种完全无序蛋白质(Histatin 5)。利用相应四个蛋白质的 MD 模拟轨迹进行二面角(ϕ 和 ѱ)分析。然后,计算每个残基的平均二面角,并将其与残基指数进行对比。我们注意到图中某些位置的平均 ϕ 值急剧上升或下降。平均 ϕ 值的这些突然变化反映了内在无序蛋白质中不同有序度或无序度区域之间的界面。利用这种方法,可以在 MD 模拟期间采样的结构集合中找到无序度较高的蛋白质的可能构象。我们的研究结果为精确识别本质无序蛋白质中不同无序度的区域提供了新的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Biomolecular Structure & Dynamics
Journal of Biomolecular Structure & Dynamics 生物-生化与分子生物学
CiteScore
8.90
自引率
9.10%
发文量
597
审稿时长
2 months
期刊介绍: The Journal of Biomolecular Structure and Dynamics welcomes manuscripts on biological structure, dynamics, interactions and expression. The Journal is one of the leading publications in high end computational science, atomic structural biology, bioinformatics, virtual drug design, genomics and biological networks.
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