Two groups and three classes of the conserved structural organization of nucleophile and non-canonical ElbowFlankOxy networks in different superfamily proteins.

IF 2.7 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Konstantin Denessiouk, Alexander I Denesyuk, Mark S Johnson, Vladimir N Uversky
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引用次数: 0

Abstract

The nucleophile elbow is a well-known structural motif, which exists in proteins with catalytic triads and contains a catalytic nucleophile and the first node of an oxyanion hole. Here, we show that structural similarities of proteins with the nucleophile elbow extend beyond simple nucleophile elbow motifs. The motifs are incorporated into larger conserved structural organizations, the ElbowFlankOxy networks, incorporating motifs and flanking residues and networks of conserved interactions. A detailed structural analysis shows two major types of ElbowFlankOxy networks, depending on the formation of the oxyanion hole. Additionally, the ElbowFlankOxy networks show three classes: Class 1-2-3, 3-1-2, and 2-3-1, defined by the order in which the catalytic nucleophile and key interacting residues are located in the amino acid sequence, giving rise to six ElbowFlankOxy network variations. This makes it possible to properly position homologous non-catalytic, non-standard, and unusual catalytic triad active sites of proteins with the nucleophile elbow within the fold classification.

不同超家族蛋白质中亲核和非经典肘侧氧基网络的两组和三类保守结构组织。
亲核肘是一种众所周知的结构模式,它存在于具有催化三元组的蛋白质中,包含一个催化亲核体和一个氧阴离子孔的第一个节点。在这里,我们发现具有亲核肘的蛋白质的结构相似性并不局限于简单的亲核肘图案。这些图案被纳入更大的保守结构组织--肘侧氧基网络(ElbowFlankOxy networks),其中包含图案和侧翼残基以及保守的相互作用网络。详细的结构分析表明,根据氧阴离子孔的形成情况,有两种主要的 ElbowFlankOxy 网络。此外,ElbowFlankOxy 网络还分为三类:1-2-3 类、3-1-2 类和 2-3-1 类,这是按催化亲核体和关键相互作用残基在氨基酸序列中的位置顺序来定义的,从而产生了六种肘侧氧基网络变体。这样就可以在折叠分类中正确定位同源非催化、非标准和异常催化三元活性位点的亲核肘蛋白质。
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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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