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利用生化特性表征定向蛋白质结构位点。

Characterizing oriented protein structural sites using biochemical properties.

作者信息

Bagley S C, Wei L, Cheng C, Altman R B

机构信息

Section on Medical Informatics, Stanford University School of Medicine, CA 94305-5479, USA.

出版信息

Proc Int Conf Intell Syst Mol Biol. 1995;3:12-20.

PMID:7584427
Abstract

A protein site is a region of a three-dimensional protein structure with a distinguishing functional or structural role. Certain sites recur in different protein structures (for example catalytic sites, calcium binding sites, and some types of turns), but maintain critical shared features. To facilitate the analysis of such protein sites, we have developed a computer system for analyzing the spatial distributions of biochemical properties around a site. The system takes a set of similar sites and a set of control nonsites, and finds differences between them. Specifically, it compares distributions of the properties surrounding the sites with those surrounding the nonsites, and reports statistically significant differences. In this paper, we use our method to analyze the features in the active site of the serine protease enzymes. We compare the use of radial distributions (shells) with 3-D grids (blocks) in the analysis of the active site. We demonstrate three different strategies for focusing attention on significant findings, based on properties of interest, spatial volumes of interest, and on the level of statistical significance. Finally, we show that the program automatically identifies conserved sequential, secondary structural and biophysical features of the serine protease active site, using noncatalytic histidine residues as a control environment.

摘要

蛋白质位点是三维蛋白质结构中具有独特功能或结构作用的区域。某些位点在不同的蛋白质结构中反复出现(例如催化位点、钙结合位点以及某些类型的转角),但保持关键的共同特征。为便于分析此类蛋白质位点,我们开发了一个计算机系统,用于分析位点周围生化特性的空间分布。该系统采用一组相似位点和一组对照非位点,并找出它们之间的差异。具体而言,它比较位点周围特性的分布与非位点周围特性的分布,并报告具有统计学显著性的差异。在本文中,我们使用我们的方法来分析丝氨酸蛋白酶的活性位点特征。我们在活性位点分析中比较了径向分布(壳层)和三维网格(块)的使用情况。我们基于感兴趣的特性、感兴趣的空间体积以及统计显著性水平,展示了三种不同的策略来聚焦于显著发现。最后,我们表明该程序使用非催化组氨酸残基作为对照环境,自动识别丝氨酸蛋白酶活性位点的保守序列、二级结构和生物物理特征。

相似文献

1
Characterizing oriented protein structural sites using biochemical properties.利用生化特性表征定向蛋白质结构位点。
Proc Int Conf Intell Syst Mol Biol. 1995;3:12-20.
2
Characterizing the microenvironment surrounding protein sites.表征蛋白质位点周围的微环境。
Protein Sci. 1995 Apr;4(4):622-35. doi: 10.1002/pro.5560040404.
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Conserved features in the active site of nonhomologous serine proteases.非同源丝氨酸蛋白酶活性位点的保守特征。
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Recognizing protein binding sites using statistical descriptions of their 3D environments.利用蛋白质结合位点三维环境的统计描述来识别它们。
Pac Symp Biocomput. 1998:497-508.
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Three-dimensional, sequence order-independent structural comparison of a serine protease against the crystallographic database reveals active site similarities: potential implications to evolution and to protein folding.针对晶体学数据库对一种丝氨酸蛋白酶进行的三维、序列顺序无关的结构比较揭示了活性位点的相似性:对进化和蛋白质折叠的潜在影响。
Protein Sci. 1994 May;3(5):769-78. doi: 10.1002/pro.5560030506.
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An integrated approach to the analysis and modeling of protein sequences and structures. III. A comparative study of sequence conservation in protein structural families using multiple structural alignments.一种蛋白质序列与结构分析及建模的综合方法。III. 使用多重结构比对对蛋白质结构家族中的序列保守性进行比较研究。
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J Mol Biol. 2009 Apr 17;387(5):1137-52. doi: 10.1016/j.jmb.2009.02.044. Epub 2009 Feb 26.
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Linkers of secondary structures in proteins.蛋白质二级结构的连接体
Protein Sci. 1997 Dec;6(12):2538-47. doi: 10.1002/pro.5560061206.
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Common protein architecture and binding sites in proteases utilizing a Ser/Lys dyad mechanism.利用丝氨酸/赖氨酸二元机制的蛋白酶中的常见蛋白质结构和结合位点。
Protein Sci. 1999 Nov;8(11):2533-6. doi: 10.1110/ps.8.11.2533.
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Consistency analysis of similarity between multiple alignments: prediction of protein function and fold structure from analysis of local sequence motifs.多序列比对相似性的一致性分析:通过局部序列基序分析预测蛋白质功能和折叠结构。
J Mol Biol. 2001 Mar 30;307(3):939-49. doi: 10.1006/jmbi.2001.4466.

引用本文的文献

1
The FEATURE framework for protein function annotation: modeling new functions, improving performance, and extending to novel applications.用于蛋白质功能注释的FEATURE框架:对新功能进行建模、提高性能并扩展到新应用。
BMC Genomics. 2008 Sep 16;9 Suppl 2(Suppl 2):S2. doi: 10.1186/1471-2164-9-S2-S2.
2
Clustering protein environments for function prediction: finding PROSITE motifs in 3D.为功能预测对蛋白质环境进行聚类:在三维结构中寻找PROSITE基序
BMC Bioinformatics. 2007 May 22;8 Suppl 4(Suppl 4):S10. doi: 10.1186/1471-2105-8-S4-S10.
3
The 2006 automated function prediction meeting.
2006年自动功能预测会议。
BMC Bioinformatics. 2007 May 22;8 Suppl 4(Suppl 4):S1-4. doi: 10.1186/1471-2105-8-S4-S1.