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An assignment of intrinsically disordered regions of proteins based on NMR structures

机译:基于NMR结构的蛋白质固有无序区分配

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Intrinsically disordered proteins (IDPs) do not adopt stable three-dimensional structures in physiological conditions, yet these proteins play crucial roles in biological phenomena. In most cases, intrinsic disorder manifests itself in segments or domains of an IDP, called intrinsically disordered regions (IDRs), but fully disordered IDPs also exist. Although IDRs can be detected as missing residues in protein structures determined by X-ray crystallography, no protocol has been developed to identify IDRs from structures obtained by Nuclear Magnetic Resonance (NMR). Here, we propose a computational method to assign IDRs based on NMR structures. We compared missing residues of X-ray structures with residue-wise deviations of NMR structures for identical proteins, and derived a threshold deviation that gives the best correlation of ordered and disordered regions of both structures. The obtained threshold of 3.2 angstrom was applied to proteins whose structures were only determined by NMR, and the resulting IDRs were analyzed and compared to those of X-ray structures with no NMR counterpart in terms of sequence length, IDR fraction, protein function, cellular location, and amino acid composition, all of which suggest distinct characteristics. The structural knowledge of IDPs is still inadequate compared with that of structured proteins. Our method can collect and utilize IDRs from structures determined by NMR, potentially enhancing the understanding of IDPs. (C) 2012 Elsevier Inc. All rights reserved.
机译:本质上无序的蛋白质(IDP)在生理条件下没有采用稳定的三维结构,但是这些蛋白质在生物学现象中起着至关重要的作用。在大多数情况下,内在障碍会在IDP的片段或域中表现出来,称为内在无序区域(IDR),但也存在完全无序的IDP。尽管IDR可以检测为X射线晶体学确定的蛋白质结构中的缺失残基,但尚未开发出从核磁共振(NMR)获得的结构中鉴定IDR的协议。在这里,我们提出了一种基于NMR结构分配IDR的计算方法。我们将X射线结构的缺失残基与相同蛋白质的NMR结构的残基逐向偏差进行了比较,得出了阈值偏差,该偏差给出了两种结构的有序和无序区域的最佳相关性。将获得的3.2埃的阈值应用于仅通过NMR确定其结构的蛋白质,并对所得IDR进行分析,并与序列长度,IDR分数,蛋白质功能,细胞内无NMR对应物的X射线结构进行比较。位置和氨基酸组成,所有这些都具有鲜明的特征。与结构蛋白相比,IDP的结构知识仍然不足。我们的方法可以从NMR确定的结构中收集和利用IDR,从而有可能增进对IDP的了解。 (C)2012 Elsevier Inc.保留所有权利。

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