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一种用于研究内在无序蛋白α-突触核蛋白中残基特异性主链角分布的最大熵方法。

A maximum entropy approach to the study of residue-specific backbone angle distributions in α-synuclein, an intrinsically disordered protein.

作者信息

Mantsyzov Alexey B, Maltsev Alexander S, Ying Jinfa, Shen Yang, Hummer Gerhard, Bax Ad

机构信息

Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, 20892.

出版信息

Protein Sci. 2014 Sep;23(9):1275-90. doi: 10.1002/pro.2511. Epub 2014 Jul 22.

Abstract

α-Synuclein is an intrinsically disordered protein of 140 residues that switches to an α-helical conformation upon binding phospholipid membranes. We characterize its residue-specific backbone structure in free solution with a novel maximum entropy procedure that integrates an extensive set of NMR data. These data include intraresidue and sequential H(N) − H(α) and H(N) − H(N) NOEs, values for (3) JHNHα, (1) JHαCα, (2) JCαN, and (1) JCαN, as well as chemical shifts of (15)N, (13)C(α), and (13)C' nuclei, which are sensitive to backbone torsion angles. Distributions of these torsion angles were identified that yield best agreement to the experimental data, while using an entropy term to minimize the deviation from statistical distributions seen in a large protein coil library. Results indicate that although at the individual residue level considerable deviations from the coil library distribution are seen, on average the fitted distributions agree fairly well with this library, yielding a moderate population (20-30%) of the PPII region and a somewhat higher population of the potentially aggregation-prone β region (20-40%) than seen in the database. A generally lower population of the αR region (10-20%) is found. Analysis of (1)H − (1)H NOE data required consideration of the considerable backbone diffusion anisotropy of a disordered protein.

摘要

α-突触核蛋白是一种由140个残基组成的内在无序蛋白,在与磷脂膜结合时会转变为α-螺旋构象。我们使用一种新颖的最大熵方法来表征其在自由溶液中的残基特异性主链结构,该方法整合了大量的核磁共振(NMR)数据。这些数据包括残基内和序列间的H(N)−H(α)和H(N)−H(N)核Overhauser效应(NOE)、(3)JHNHα、(1)JHαCα、(2)JCαN和(1)JCαN的值,以及对主链扭转角敏感的(15)N、(13)C(α)和(13)C'核的化学位移。确定了这些扭转角的分布,使其与实验数据具有最佳一致性,同时使用熵项来最小化与大型蛋白质卷曲文库中统计分布的偏差。结果表明,尽管在单个残基水平上与卷曲文库分布存在相当大的偏差,但平均而言,拟合分布与该文库相当吻合,产生了中等比例(20 - 30%)的多聚脯氨酸II型(PPII)区域,以及比数据库中更高比例(20 - 40%)的潜在易于聚集的β区域。发现αR区域的比例通常较低(10 - 20%)。对(1)H−(1)H NOE数据的分析需要考虑无序蛋白相当大的主链扩散各向异性。

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