Three-helix bundle and SH3-type barrels: autonomously stable structural motifs in small and large proteins.

IF 2.7 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Kirill Sergeevich Nikolsky, Liudmila Ivanovna Kulikova, Denis Vitalievich Petrovskiy, Vladimir Removich Rudnev, Tatiana Vladimirovna Butkova, Kristina Akhmedovna Malsagova, Arthur Tigranovich Kopylov, Anna Leonidovna Kaysheva
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引用次数: 0

Abstract

In this study, we investigated two variants of a three-helix bundle and SH3-type barrel, compact in space, present in small and large proteins of various living organisms. Using a neural graph network, proteins with three-helix bundle (n = 1377) and SH3-type barrels (n = 1914) spatial folds were selected. Molecular experiments were performed for small proteins with these folds, and motifs were studied autonomously outside the protein environment at 300, 340, and 370 K. A comparative analysis of the main parameters of the structures in the course of the experiment was performed, including gyration radius, area accessible to the solvent, number of hydrophobic and hydrogen bonds, and root-mean-square deviation of atomic positions (RMSD). We exhibited an autonomous stability of the studied folds outside the protein environment in an aquatic medium. We aimed to demonstrate the possibility of analyzing three-helix bundle and SH3-type barrels autonomously outside the protein globule, thereby reducing the computational time and increasing performance without significant loss of information.Communicated by Ramaswamy H. Sarma.

三螺旋束和 SH3 型桶:小型和大型蛋白质中自主稳定的结构主题。
在这项研究中,我们调查了存在于各种生物体大小蛋白质中的空间紧凑的三螺旋束和 SH3 型桶的两种变体。通过神经图网络,我们筛选出了具有三螺旋束(n = 1377)和 SH3 型桶状(n = 1914)空间折叠的蛋白质。实验过程中对结构的主要参数进行了比较分析,包括回旋半径、溶剂可接触面积、疏水键和氢键的数量以及原子位置的均方根偏差(RMSD)。我们展示了所研究的褶皱在水生介质的蛋白质环境之外的自主稳定性。我们的目的是证明在蛋白质球外自主分析三螺旋束和 SH3 型桶的可能性,从而减少计算时间并提高性能,而不会损失大量信息。
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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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