• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

仅从序列就能改进蛋白质环预测。

Improved protein loop prediction from sequence alone.

作者信息

Burke D F, Deane C M

机构信息

Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge CB1 2GA, UK.

出版信息

Protein Eng. 2001 Jul;14(7):473-8. doi: 10.1093/protein/14.7.473.

DOI:10.1093/protein/14.7.473
PMID:11522920
Abstract

The SLoop database of supersecondary fragments, first described by Donate et al. (Protein Sci., 1996, 5, 2600-2616), contains protein loops, classified according to structural similarity. The database has recently been updated and currently contains over 10 000 loops up to 20 residues in length, which cluster into over 560 well populated classes. The database can be found at http://www-cryst.bioc.cam.ac.uk/~sloop. In this paper, we identify conserved structural features such as main chain conformation and hydrogen bonding. Using the original approach of Rufino and co-workers (1997), the correct structural class is predicted with the highest SLoop score for 35% of loops. This rises to 65% by considering the three highest scoring class predictions and to 75% in the top five scoring class predictions. Inclusion of residues from the neighbouring secondary structures and use of substitution tables derived using a reduced definition of secondary structure increase these prediction accuracies to 58, 78 and 85%, respectively. This suggests that capping residues can stabilize the loop conformation as well as that of the secondary structure. Further increases are achieved if only well-populated classes are considered in the prediction. These results correspond to an average loop root mean square deviation of between 0.4 and 2.6 A for loops up to five residues in length.

摘要

超二级结构片段的SLoop数据库由多纳特等人首次描述(《蛋白质科学》,1996年,第5卷,2600 - 2616页),包含根据结构相似性分类的蛋白质环。该数据库最近已更新,目前包含超过10000个长度达20个残基的环,这些环聚集成超过560个分布密集的类别。该数据库可在http://www - cryst.bioc.cam.ac.uk/~sloop找到。在本文中,我们识别出保守的结构特征,如主链构象和氢键。使用鲁菲诺及其同事(1997年)的原始方法,对于35%的环,预测出的正确结构类别具有最高的SLoop得分。通过考虑得分最高的三个结构类别预测,这一比例升至65%,而在得分最高的五个结构类别预测中则升至75%。纳入相邻二级结构的残基并使用基于二级结构简化定义得出的替换表,可将这些预测准确率分别提高到58%、78%和85%。这表明封端残基既能稳定环的构象,也能稳定二级结构的构象。如果在预测中仅考虑分布密集的类别,准确率会进一步提高。对于长度达五个残基的环,这些结果对应的平均环均方根偏差在0.4至2.6埃之间。

相似文献

1
Improved protein loop prediction from sequence alone.仅从序列就能改进蛋白质环预测。
Protein Eng. 2001 Jul;14(7):473-8. doi: 10.1093/protein/14.7.473.
2
Browsing the SLoop database of structurally classified loops connecting elements of protein secondary structure.浏览SLoop数据库,该数据库收录了连接蛋白质二级结构元件的按结构分类的环。
Bioinformatics. 2000 Jun;16(6):513-9. doi: 10.1093/bioinformatics/16.6.513.
3
Analysis, clustering and prediction of the conformation of short and medium size loops connecting regular secondary structures.连接规则二级结构的短、中长度环构象的分析、聚类和预测。
Pac Symp Biocomput. 1996:570-89.
4
Conformational analysis and clustering of short and medium size loops connecting regular secondary structures: a database for modeling and prediction.连接规则二级结构的短环和中环的构象分析与聚类:一个用于建模和预测的数据库。
Protein Sci. 1996 Dec;5(12):2600-16. doi: 10.1002/pro.5560051223.
5
CODA: a combined algorithm for predicting the structurally variable regions of protein models.CODA:一种预测蛋白质模型结构可变区域的组合算法。
Protein Sci. 2001 Mar;10(3):599-612. doi: 10.1110/ps.37601.
6
Predicting the conformational class of short and medium size loops connecting regular secondary structures: application to comparative modelling.预测连接规则二级结构的短环和中环的构象类别:在比较建模中的应用。
J Mol Biol. 1997 Mar 28;267(2):352-67. doi: 10.1006/jmbi.1996.0851.
7
FUGUE: sequence-structure homology recognition using environment-specific substitution tables and structure-dependent gap penalties.FUGUE:使用特定环境替代表和结构依赖空位罚分进行序列-结构同源性识别。
J Mol Biol. 2001 Jun 29;310(1):243-57. doi: 10.1006/jmbi.2001.4762.
8
JOY: protein sequence-structure representation and analysis.JOY:蛋白质序列-结构表示与分析
Bioinformatics. 1998;14(7):617-23. doi: 10.1093/bioinformatics/14.7.617.
9
Patterns and conformations of commonly occurring supersecondary structures (basic motifs) in protein data bank.蛋白质数据库中常见超二级结构(基本基序)的模式与构象
J Protein Chem. 1996 Oct;15(7):675-90. doi: 10.1007/BF01886750.
10
Protein loops on structurally similar scaffolds: database and conformational analysis.结构相似支架上的蛋白质环:数据库与构象分析
Biopolymers. 1999 May;49(6):481-95. doi: 10.1002/(SICI)1097-0282(199905)49:6<481::AID-BIP6>3.0.CO;2-V.

引用本文的文献

1
Identify Beta-Hairpin Motifs with Quadratic Discriminant Algorithm Based on the Chemical Shifts.基于化学位移,用二次判别算法识别β-发夹基序。
PLoS One. 2015 Sep 30;10(9):e0139280. doi: 10.1371/journal.pone.0139280. eCollection 2015.
2
Conformational sampling in template-free protein loop structure modeling: an overview.无模板蛋白质环结构建模中的构象采样:综述
Comput Struct Biotechnol J. 2013 Feb 25;5:e201302003. doi: 10.5936/csbj.201302003. eCollection 2013.
3
Models to Approximate the Motions of Protein Loops.近似蛋白质环运动的模型。
J Chem Theory Comput. 2010 Oct 12;6(10):3249-3258. doi: 10.1021/ct1001413.
4
BriX: a database of protein building blocks for structural analysis, modeling and design.BriX:一个用于结构分析、建模与设计的蛋白质构建模块数据库。
Nucleic Acids Res. 2011 Jan;39(Database issue):D435-42. doi: 10.1093/nar/gkq972. Epub 2010 Oct 23.
5
Improving predicted protein loop structure ranking using a Pareto-optimality consensus method.使用帕累托最优共识方法改进预测的蛋白质环结构排名。
BMC Struct Biol. 2010 Jul 20;10:22. doi: 10.1186/1472-6807-10-22.
6
Local descriptors of protein structure: a systematic analysis of the sequence-structure relationship in proteins using short- and long-range interactions.蛋白质结构的局部描述符:利用短程和长程相互作用对蛋白质序列-结构关系进行系统分析。
Proteins. 2009 Jun;75(4):870-84. doi: 10.1002/prot.22296.
7
Workshop--Predicting the structure of biological molecules.研讨会——预测生物分子的结构
Comp Funct Genomics. 2004;5(6-7):480-90. doi: 10.1002/cfg.414.
8
Prediction of the beta-hairpins in proteins using support vector machine.使用支持向量机预测蛋白质中的β-发夹结构。
Protein J. 2008 Feb;27(2):115-22. doi: 10.1007/s10930-007-9114-z.
9
Saturating representation of loop conformational fragments in structure databanks.结构数据库中环状构象片段的饱和表示。
BMC Struct Biol. 2006 Jul 4;6:15. doi: 10.1186/1472-6807-6-15.
10
A supersecondary structure library and search algorithm for modeling loops in protein structures.一种用于构建蛋白质结构中环的超二级结构库及搜索算法。
Nucleic Acids Res. 2006 Apr 14;34(7):2085-97. doi: 10.1093/nar/gkl156. Print 2006.