Literature DB >> 15022642

ConPred_elite: a highly reliable approach to transmembrane topology predication.

Jun-Xiong Xia1, Masami Ikeda, Toshio Shimizu.   

Abstract

The function of transmembrane (TM) proteins is closely correlated to their TM topology; large quantities of highly reliable TM topology data are becoming increasingly required. We present a new consensus approach for TM topology prediction (ConPred_elite) that can predict the whole topology with accuracies of 0.98 for prokaryotic and 0.95 for eukaryotic proteins on a dataset of experimentally-characterized TM topologies. The predicted yield on the dataset is 30.4% for prokaryotic and 21.5% for eukaryotic proteins. Applying ConPred_elite to predicted TM proteins extracted from 29 prokaryotic and 10 eukaryotic proteomes, we obtained 3871 and 7271 highly reliable TM topologies (yields, 19.8 and 13.3%), respectively. The predicted TM topology data may contribute to further research into a comprehensive functional classification and identification of TM proteins based on information of the topology.

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Year:  2004        PMID: 15022642     DOI: 10.1016/j.compbiolchem.2003.11.002

Source DB:  PubMed          Journal:  Comput Biol Chem        ISSN: 1476-9271            Impact factor:   2.877


  9 in total

1.  ConPred II: a consensus prediction method for obtaining transmembrane topology models with high reliability.

Authors:  Masafumi Arai; Hironori Mitsuke; Masami Ikeda; Jun-Xiong Xia; Takashi Kikuchi; Masanobu Satake; Toshio Shimizu
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

2.  Proteome-wide functional classification and identification of prokaryotic transmembrane proteins by transmembrane topology similarity comparison.

Authors:  Masafumi Arai; Kosuke Okumura; Masanobu Satake; Toshio Shimizu
Journal:  Protein Sci       Date:  2004-08       Impact factor: 6.725

3.  Alpha-helical topology prediction and generation of distance restraints in membrane proteins.

Authors:  Scott R McAllister; Christodoulos A Floudas
Journal:  Biophys J       Date:  2008-09-05       Impact factor: 4.033

4.  Bioinformatics study of delta-12 fatty acid desaturase 2 (FAD2) gene in oilseeds.

Authors:  Fatemeh Dehghan Nayeri; Kazem Yarizade
Journal:  Mol Biol Rep       Date:  2014-05-11       Impact factor: 2.316

5.  Simultaneous prediction of protein secondary structure and transmembrane spans.

Authors:  Julia Koehler Leman; Ralf Mueller; Mert Karakas; Nils Woetzel; Jens Meiler
Journal:  Proteins       Date:  2013-04-10

6.  Bioinformatics study of 1-deoxy-D-xylulose-5-phosphate synthase (DXS) genes in Solanaceae.

Authors:  Xuhao Pan; Yiting Li; Guangtang Pan; Aiguo Yang
Journal:  Mol Biol Rep       Date:  2019-07-16       Impact factor: 2.316

7.  Evaluation of methods for predicting the topology of beta-barrel outer membrane proteins and a consensus prediction method.

Authors:  Pantelis G Bagos; Theodore D Liakopoulos; Stavros J Hamodrakas
Journal:  BMC Bioinformatics       Date:  2005-01-12       Impact factor: 3.169

Review 8.  Structure prediction of membrane proteins.

Authors:  Chunlong Zhou; Yao Zheng; Yan Zhou
Journal:  Genomics Proteomics Bioinformatics       Date:  2004-02       Impact factor: 7.691

9.  Meta-prediction of phosphorylation sites with weighted voting and restricted grid search parameter selection.

Authors:  Ji Wan; Shuli Kang; Chuanning Tang; Jianhua Yan; Yongliang Ren; Jie Liu; Xiaolian Gao; Arindam Banerjee; Lynda B M Ellis; Tongbin Li
Journal:  Nucleic Acids Res       Date:  2008-01-30       Impact factor: 16.971

  9 in total

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