• 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

PredAcc: prediction of solvent accessibility.

作者信息

Mucchielli-Giorgi M H, Hazout S, Tufféry P

机构信息

Equipe de Bioinformatique Moléculaire, INSERM U155, Université Paris 7, case 7113, 2, place Jussieu, 75251 Paris cedex 05, France.

出版信息

Bioinformatics. 1999 Feb;15(2):176-7. doi: 10.1093/bioinformatics/15.2.176.

DOI:10.1093/bioinformatics/15.2.176
PMID:10089205
Abstract

UNLABELLED

PredAcc is a tool for predicting the solvent accessibility of protein residues from the sequence at different relative accessibility levels (0-55%). The prediction rate varies between 70. 7% (for 25% relative accessibility) and 85.7% (for 0% relative accessibility). Amino acids are predicted in four categories: almost certainly hidden and almost certainly exposed with a given a posteriori prediction error, probably hidden and probably exposed otherwise.

AVAILABILITY

http://condor.urbb.jussieu.fr/PredAccCfg.html

CONTACT

tuffery@urbb.jussieu.fr

摘要

相似文献

1
PredAcc: prediction of solvent accessibility.
Bioinformatics. 1999 Feb;15(2):176-7. doi: 10.1093/bioinformatics/15.2.176.
2
CS-PSeq-Gen: simulating the evolution of protein sequence under constraints.CS-PSeq-Gen:在约束条件下模拟蛋白质序列的进化。
Bioinformatics. 2002 Jul;18(7):1015-6. doi: 10.1093/bioinformatics/18.7.1015.
3
Voro3D: 3D Voronoi tessellations applied to protein structures.Voro3D:应用于蛋白质结构的三维沃罗诺伊镶嵌
Bioinformatics. 2005 Apr 15;21(8):1715-6. doi: 10.1093/bioinformatics/bth365. Epub 2004 Jun 24.
4
PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility.PredRSA:一种用于预测蛋白质溶剂可及性的梯度提升回归树方法。
BMC Bioinformatics. 2016 Jan 11;17 Suppl 1(Suppl 1):8. doi: 10.1186/s12859-015-0851-2.
5
Prediction of protein solvent accessibility using fuzzy k-nearest neighbor method.使用模糊k近邻法预测蛋白质溶剂可及性。
Bioinformatics. 2005 Jun 15;21(12):2844-9. doi: 10.1093/bioinformatics/bti423. Epub 2005 Apr 6.
6
New method for accurate prediction of solvent accessibility from protein sequence.从蛋白质序列准确预测溶剂可及性的新方法。
Proteins. 2001 Jan 1;42(1):1-5. doi: 10.1002/1097-0134(20010101)42:1<1::aid-prot10>3.0.co;2-n.
7
RVP-net: online prediction of real valued accessible surface area of proteins from single sequences.RVP-net:从单序列在线预测蛋白质的实值可及表面积
Bioinformatics. 2003 Sep 22;19(14):1849-51. doi: 10.1093/bioinformatics/btg249.
8
RankViaContact: ranking and visualization of amino acid contacts.通过接触进行排序:氨基酸接触的排序与可视化
Bioinformatics. 2003 Nov 1;19(16):2161-2. doi: 10.1093/bioinformatics/btg293.
9
SVM-Cabins: prediction of solvent accessibility using accumulation cutoff set and support vector machine.支持向量机-舱室:使用累积截止集和支持向量机预测溶剂可及性
Proteins. 2007 Jul 1;68(1):82-91. doi: 10.1002/prot.21422.
10
QBES: predicting real values of solvent accessibility from sequences by efficient, constrained energy optimization.QBES:通过高效的约束能量优化从序列预测溶剂可及性的实际值。
Proteins. 2006 Jun 1;63(4):961-6. doi: 10.1002/prot.20934.

引用本文的文献

1
Solvent Accessibility of Residues Undergoing Pathogenic Variations in Humans: From Protein Structures to Protein Sequences.人类中发生致病性变异的残基的溶剂可及性:从蛋白质结构到蛋白质序列
Front Mol Biosci. 2021 Jan 7;7:626363. doi: 10.3389/fmolb.2020.626363. eCollection 2020.
2
Prediction of substrate-enzyme-product interaction based on molecular descriptors and physicochemical properties.基于分子描述符和物理化学性质的底物-酶-产物相互作用预测
Biomed Res Int. 2013;2013:674215. doi: 10.1155/2013/674215. Epub 2013 Dec 22.
3
Predicting functions of proteins in mouse based on weighted protein-protein interaction network and protein hybrid properties.
基于加权蛋白质-蛋白质相互作用网络和蛋白质混合特性预测小鼠中的蛋白质功能。
PLoS One. 2011 Jan 19;6(1):e14556. doi: 10.1371/journal.pone.0014556.
4
Identification of interface residues in protease-inhibitor and antigen-antibody complexes: a support vector machine approach.蛋白酶抑制剂与抗原-抗体复合物中界面残基的鉴定:一种支持向量机方法。
Neural Comput Appl. 2004 Jun 1;13(2):123-129. doi: 10.1007/s00521-004-0414-3.
5
Predicting drug-target interaction networks based on functional groups and biological features.基于功能基团和生物特征预测药物-靶标相互作用网络。
PLoS One. 2010 Mar 11;5(3):e9603. doi: 10.1371/journal.pone.0009603.
6
Prediction of interactiveness of proteins and nucleic acids based on feature selections.基于特征选择的蛋白质和核酸相互作用预测。
Mol Divers. 2010 Nov;14(4):627-33. doi: 10.1007/s11030-009-9198-9. Epub 2009 Oct 9.
7
Context dependent reference states of solvent accessibility derived from native protein structures and assessed by predictability analysis.基于天然蛋白质结构并通过可预测性分析评估得到的溶剂可及性的上下文相关参考状态。
BMC Struct Biol. 2009 Apr 27;9:25. doi: 10.1186/1472-6807-9-25.
8
Prediction of interaction between small molecule and enzyme using AdaBoost.使用AdaBoost预测小分子与酶之间的相互作用。
Mol Divers. 2009 Aug;13(3):313-20. doi: 10.1007/s11030-009-9116-1. Epub 2009 Feb 14.
9
Real value prediction of protein solvent accessibility using enhanced PSSM features.使用增强的位置特异性得分矩阵(PSSM)特征对蛋白质溶剂可及性进行实际值预测。
BMC Bioinformatics. 2008 Dec 12;9 Suppl 12(Suppl 12):S12. doi: 10.1186/1471-2105-9-S12-S12.
10
Prediction of protein structural classes using hybrid properties.利用混合属性预测蛋白质结构类别。
Mol Divers. 2008 Aug-Nov;12(3-4):171-9. doi: 10.1007/s11030-008-9093-9. Epub 2008 Oct 25.