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QSE:一种新的三维溶剂暴露测量方法,用于分析蛋白质结构。

QSE: A new 3-D solvent exposure measure for the analysis of protein structure.

机构信息

College of Electrical and Computer Engineering, Chungbuk National University, Chungbuk, Korea.

出版信息

Proteomics. 2011 Oct;11(19):3793-801. doi: 10.1002/pmic.201100189. Epub 2011 Aug 18.

DOI:10.1002/pmic.201100189
PMID:21761564
Abstract

Solvent exposure of amino acids measures how deep residues are buried in tertiary structure of proteins, and hence it provides important information for analyzing and predicting protein structure and functions. Existing methods of calculating solvent exposure such as accessible surface area, relative accessible surface area, residue depth, contact number, and half-sphere exposure still have some limitations. In this article, we propose a novel solvent exposure measure named quadrant-sphere exposure (QSE) based on eight quadrants derived from spherical neighborhood. The proposed measure forms a microenvironment around Cα atom as a sphere with a radius of 13 Å, and subdivides it into eight quadrants according to a rectangular coordinate system constructed based on geometric relationships of backbone atoms. The number of neighboring Cα atoms whose labels are the same is given as the QSE value of the center Cα atom at hand. As evidenced by histograms that show very different distributions for different structure configurations, the proposed measure captures local properties that are characteristic for a residue's eight-directional neighborhood within a sphere. Compared with other measures, QSE provides a different view of solvent exposure, and provides information that is specific for different tertiary structure. As the experimental results show, QSE measure can potentially be used in protein structure analysis and predictions.

摘要

氨基酸的溶剂暴露度衡量残基在蛋白质三级结构中的埋藏深度,因此为分析和预测蛋白质结构和功能提供了重要信息。现有的溶剂暴露度计算方法,如可及表面积、相对可及表面积、残基深度、接触数和半球暴露度,仍然存在一些局限性。在本文中,我们提出了一种新的溶剂暴露度度量方法,称为象限球暴露度(QSE),它基于从球型邻域中衍生出的八个象限。所提出的方法以 13Å 的半径围绕 Cα 原子形成一个球体,并根据基于骨架原子几何关系构建的直角坐标系将其细分为八个象限。具有相同标签的相邻 Cα 原子的数量被赋予手头中心 Cα 原子的 QSE 值。从显示不同结构构型具有非常不同分布的直方图可以看出,该度量方法捕获了残基在球体内八个方向邻域的局部特性。与其他度量方法相比,QSE 提供了溶剂暴露度的不同视角,并提供了针对不同三级结构的特定信息。正如实验结果所示,QSE 度量方法有可能用于蛋白质结构分析和预测。

相似文献

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QSE: A new 3-D solvent exposure measure for the analysis of protein structure.QSE:一种新的三维溶剂暴露测量方法,用于分析蛋白质结构。
Proteomics. 2011 Oct;11(19):3793-801. doi: 10.1002/pmic.201100189. Epub 2011 Aug 18.
2
An amino acid has two sides: a new 2D measure provides a different view of solvent exposure.氨基酸有两个面:一种新的二维测量方法提供了溶剂暴露的不同视角。
Proteins. 2005 Apr 1;59(1):38-48. doi: 10.1002/prot.20379.
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Evaluation of local structure alphabets based on residue burial.基于残基埋藏情况对局部结构字母表的评估。
Proteins. 2004 May 15;55(3):508-18. doi: 10.1002/prot.20008.
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HSEpred: predict half-sphere exposure from protein sequences.HSEpred:从蛋白质序列预测半球暴露情况。
Bioinformatics. 2008 Jul 1;24(13):1489-97. doi: 10.1093/bioinformatics/btn222. Epub 2008 May 8.
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Real value prediction of solvent accessibility from amino acid sequence.从氨基酸序列对溶剂可及性进行实际值预测。
Proteins. 2003 Mar 1;50(4):629-35. doi: 10.1002/prot.10328.
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Three-dimensional computation of atom depth in complex molecular structures.复杂分子结构中原子深度的三维计算。
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Atom-wise statistics and prediction of solvent accessibility in proteins.蛋白质中溶剂可及性的原子级统计与预测。
Biophys Chem. 2006 Nov 20;124(2):145-54. doi: 10.1016/j.bpc.2006.06.013. Epub 2006 Jul 24.
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Solvent accessibility in native and isolated domain environments: general features and implications to interface predictability.天然和分离结构域环境中的溶剂可及性:一般特征及对界面可预测性的影响
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Amino acid architecture and the distribution of polar atoms on the surfaces of proteins.蛋白质表面的氨基酸结构与极性原子分布
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Amino acid conformational preferences and solvation of polar backbone atoms in peptides and proteins.肽和蛋白质中氨基酸的构象偏好以及极性主链原子的溶剂化作用。
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