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与形成α-螺旋的分子识别元件的耦合折叠与结合。

Coupled folding and binding with alpha-helix-forming molecular recognition elements.

作者信息

Oldfield Christopher J, Cheng Yugong, Cortese Marc S, Romero Pedro, Uversky Vladimir N, Dunker A Keith

机构信息

Molecular Kinetics Inc., 6201 La Pas Trail, Suite 160, Indianapolis, Indiana 46268, USA.

出版信息

Biochemistry. 2005 Sep 20;44(37):12454-70. doi: 10.1021/bi050736e.

Abstract

Many protein-protein and protein-nucleic acid interactions involve coupled folding and binding of at least one of the partners. Here, we propose a protein structural element or feature that mediates the binding events of initially disordered regions. This element consists of a short region that undergoes coupled binding and folding within a longer region of disorder. We call these features "molecular recognition elements" (MoREs). Examples of MoREs bound to their partners can be found in the alpha-helix, beta-strand, polyproline II helix, or irregular secondary structure conformations, and in various mixtures of the four structural forms. Here we describe an algorithm that identifies regions having propensities to become alpha-helix-forming molecular recognition elements (alpha-MoREs) based on a discriminant function that indicates such regions while giving a low false-positive error rate on a large collection of structured proteins. Application of this algorithm to databases of genomics and functionally annotated proteins indicates that alpha-MoREs are likely to play important roles protein-protein interactions involved in signaling events.

摘要

许多蛋白质-蛋白质和蛋白质-核酸相互作用涉及至少一个相互作用伙伴的耦合折叠和结合。在此,我们提出一种蛋白质结构元件或特征,它介导初始无序区域的结合事件。该元件由一个短区域组成,该短区域在更长的无序区域内经历耦合结合和折叠。我们将这些特征称为“分子识别元件”(MoREs)。与它们的相互作用伙伴结合的MoREs示例可在α-螺旋、β-链、多聚脯氨酸II螺旋或不规则二级结构构象以及这四种结构形式的各种混合物中找到。在此,我们描述一种算法,该算法基于一种判别函数识别具有形成α-螺旋分子识别元件(α-MoREs)倾向的区域,该判别函数能指示这些区域,同时在大量结构化蛋白质集合上给出低假阳性错误率。将该算法应用于基因组学和功能注释蛋白质数据库表明,α-MoREs可能在参与信号事件的蛋白质-蛋白质相互作用中发挥重要作用。

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