Literature DB >> 10089205

PredAcc: prediction of solvent accessibility.

M H Mucchielli-Giorgi1, S Hazout, P Tufféry.   

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

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Year:  1999        PMID： 10089205     DOI： 10.1093/bioinformatics/15.2.176

Source DB:  PubMed          Journal:  Bioinformatics        ISSN： 1367-4803            Impact factor:   6.937


  14 in total

1.  Identification of interface residues in protease-inhibitor and antigen-antibody complexes: a support vector machine approach.

Authors:  Changhui Yan; Vasant Honavar; Drena Dobbs
Journal:  Neural Comput Appl       Date:  2004-06-01       Impact factor: 5.606

2.  Prediction of interaction between small molecule and enzyme using AdaBoost.

Authors:  Bing Niu; Yuhuan Jin; Lin Lu; Kaiyan Fen; Lei Gu; Zhisong He; Wencong Lu; Yixue Li; Yudong Cai
Journal:  Mol Divers       Date:  2009-02-14       Impact factor: 2.943

3.  Prediction of protein structural classes using hybrid properties.

Authors:  Wenjin Li; Kao Lin; Kaiyan Feng; Yudong Cai
Journal:  Mol Divers       Date:  2008-10-25       Impact factor: 2.943

4.  Prediction of interactiveness of proteins and nucleic acids based on feature selections.

Authors:  YouLang Yuan; XiaoHe Shi; XinLei Li; WenCong Lu; YuDong Cai; Lei Gu; Liang Liu; MinJie Li; XiangYin Kong; Meng Xing
Journal:  Mol Divers       Date:  2009-10-09       Impact factor: 2.943

5.  Dehalogenation of haloalkanes by Mycobacterium tuberculosis H37Rv and other mycobacteria.

Authors:  A Jesenská; I Sedlácek; J Damborský
Journal:  Appl Environ Microbiol       Date:  2000-01       Impact factor: 4.792

6.  Predicting drug-target interaction networks based on functional groups and biological features.

Authors:  Zhisong He; Jian Zhang; Xiao-He Shi; Le-Le Hu; Xiangyin Kong; Yu-Dong Cai; Kuo-Chen Chou
Journal:  PLoS One       Date:  2010-03-11       Impact factor: 3.240

7.  Real value prediction of protein solvent accessibility using enhanced PSSM features.

Authors:  Darby Tien-Hao Chang; Hsuan-Yu Huang; Yu-Tang Syu; Chih-Peng Wu
Journal:  BMC Bioinformatics       Date:  2008-12-12       Impact factor: 3.169

8.  Predicting functions of proteins in mouse based on weighted protein-protein interaction network and protein hybrid properties.

Authors:  Lele Hu; Tao Huang; Xiaohe Shi; Wen-Cong Lu; Yu-Dong Cai; Kuo-Chen Chou
Journal:  PLoS One       Date:  2011-01-19       Impact factor: 3.240

9.  RPBS: a web resource for structural bioinformatics.

Authors:  C Alland; F Moreews; D Boens; M Carpentier; S Chiusa; M Lonquety; N Renault; Y Wong; H Cantalloube; J Chomilier; J Hochez; J Pothier; B O Villoutreix; J-F Zagury; P Tufféry
Journal:  Nucleic Acids Res       Date:  2005-07-01       Impact factor: 16.971

10.  Context dependent reference states of solvent accessibility derived from native protein structures and assessed by predictability analysis.

Authors:  Hemajit Singh; Shandar Ahmad
Journal:  BMC Struct Biol       Date:  2009-04-27
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