• 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

What is the minimum number of residues to determine the secondary structural state?

作者信息

Pan X M, Niu W D, Wang Z X

机构信息

Institute of Biophysics, Academia Sinica, Beijing, China.

出版信息

J Protein Chem. 1999 Jul;18(5):579-84. doi: 10.1023/a:1020655417839.

DOI:10.1023/a:1020655417839
PMID:10524775
Abstract

The failure of protein secondary structural prediction is commonly attributed to the neglect of long-range interactions. The question is, what is the minimum length of subsequence required to determine the central secondary structural state, stabilized only by local interactions? In the present work, the 20 amino acids were classified into eight groups to analyze systematically the relationship between the length and secondary structural state of subsequences in the PDB database. It was found that the fraction of subsequences with a unique central secondary structural state increases with increasing length, and the minimum length of subsequence required to determine the central secondary structural state is about 14-17 residues. The low accuracy of secondary structure prediction does not result from the neglect of long-range interactions, but may result from the limitation of the available protein database size or prediction algorithm.

摘要

相似文献

1
What is the minimum number of residues to determine the secondary structural state?
J Protein Chem. 1999 Jul;18(5):579-84. doi: 10.1023/a:1020655417839.
2
Prediction of secondary structural content of proteins from their amino acid composition alone. I. New analytic vector decomposition methods.仅根据氨基酸组成预测蛋白质的二级结构含量。I. 新的分析向量分解方法。
Proteins. 1996 Jun;25(2):157-68. doi: 10.1002/(SICI)1097-0134(199606)25:2<157::AID-PROT2>3.0.CO;2-F.
3
Improving protein secondary structure prediction based on short subsequences with local structure similarity.基于局部结构相似性的短序列提高蛋白质二级结构预测。
BMC Genomics. 2010 Dec 2;11 Suppl 4(Suppl 4):S4. doi: 10.1186/1471-2164-11-S4-S4.
4
Prediction of secondary structural content of proteins from their amino acid composition alone. II. The paradox with secondary structural class.仅根据氨基酸组成预测蛋白质的二级结构含量。II. 二级结构类别的悖论。
Proteins. 1996 Jun;25(2):169-79. doi: 10.1002/(SICI)1097-0134(199606)25:2<169::AID-PROT3>3.0.CO;2-D.
5
Information quantity for secondary structure propensities of protein subsequences in the Protein Data Bank.蛋白质数据库中蛋白质子序列二级结构倾向的信息量
Biophys Physicobiol. 2022 Feb 8;19:1-12. doi: 10.2142/biophysico.bppb-v19.0002. eCollection 2022.
6
Structural diversity of sequentially identical subsequences of proteins: identical octapeptides can have different conformations.蛋白质连续相同子序列的结构多样性:相同的八肽可以具有不同的构象。
Proteins. 1998 Feb 15;30(3):228-31. doi: 10.1002/(sici)1097-0134(19980215)30:3<228::aid-prot2>3.0.co;2-g.
7
Prediction of protein structural classes for low-homology sequences based on predicted secondary structure.基于预测的二级结构预测低同源序列的蛋白质结构类别。
BMC Bioinformatics. 2010 Jan 18;11 Suppl 1(Suppl 1):S9. doi: 10.1186/1471-2105-11-S1-S9.
8
The role of long-range interactions in defining the secondary structure of proteins is overestimated.
Comput Appl Biosci. 1997 Jun;13(3):297-301. doi: 10.1093/bioinformatics/13.3.297.
9
Incorporation of non-local interactions in protein secondary structure prediction from the amino acid sequence.将非局部相互作用纳入从氨基酸序列预测蛋白质二级结构的过程中。
Protein Eng. 1996 Feb;9(2):133-42. doi: 10.1093/protein/9.2.133.
10
Secondary structure prediction using segment similarity.
Protein Eng. 1997 Oct;10(10):1143-53. doi: 10.1093/protein/10.10.1143.

引用本文的文献

1
The effect of long-range interactions on the secondary structure formation of proteins.长程相互作用对蛋白质二级结构形成的影响。
Protein Sci. 2005 Aug;14(8):1955-63. doi: 10.1110/ps.051479505. Epub 2005 Jun 29.
2
Detecting hidden sequence propensity for amyloid fibril formation.检测淀粉样纤维形成的隐藏序列倾向。
Protein Sci. 2004 Aug;13(8):2149-60. doi: 10.1110/ps.04790604.

本文引用的文献

1
Structural diversity of sequentially identical subsequences of proteins: identical octapeptides can have different conformations.蛋白质连续相同子序列的结构多样性:相同的八肽可以具有不同的构象。
Proteins. 1998 Feb 15;30(3):228-31. doi: 10.1002/(sici)1097-0134(19980215)30:3<228::aid-prot2>3.0.co;2-g.
2
The role of long-range interactions in defining the secondary structure of proteins is overestimated.
Comput Appl Biosci. 1997 Jun;13(3):297-301. doi: 10.1093/bioinformatics/13.3.297.
3
GOR method for predicting protein secondary structure from amino acid sequence.用于从氨基酸序列预测蛋白质二级结构的GOR方法。
Methods Enzymol. 1996;266:540-53. doi: 10.1016/s0076-6879(96)66034-0.
4
Prediction of protein secondary structure at better than 70% accuracy.蛋白质二级结构预测准确率高于70%。
J Mol Biol. 1993 Jul 20;232(2):584-99. doi: 10.1006/jmbi.1993.1413.
5
Origins of structural diversity within sequentially identical hexapeptides.序列相同的六肽结构多样性的起源
Protein Sci. 1993 Dec;2(12):2134-45. doi: 10.1002/pro.5560021213.
6
Theory of protein secondary structure and algorithm of its prediction.蛋白质二级结构理论及其预测算法。
Biopolymers. 1983 Jan;22(1):15-25. doi: 10.1002/bip.360220105.
7
Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features.蛋白质二级结构词典:氢键和几何特征的模式识别
Biopolymers. 1983 Dec;22(12):2577-637. doi: 10.1002/bip.360221211.
8
Secondary structure assignment for alpha/beta proteins by a combinatorial approach.
Biochemistry. 1983 Oct 11;22(21):4894-904. doi: 10.1021/bi00290a005.
9
On the use of sequence homologies to predict protein structure: identical pentapeptides can have completely different conformations.关于利用序列同源性预测蛋白质结构:相同的五肽可能具有完全不同的构象。
Proc Natl Acad Sci U S A. 1984 Feb;81(4):1075-8. doi: 10.1073/pnas.81.4.1075.
10
Prediction of protein conformation.蛋白质构象预测
Biochemistry. 1974 Jan 15;13(2):222-45. doi: 10.1021/bi00699a002.