Literature DB >> 26458844

Predicting the Functional Types of Singleplex and Multiplex Eukaryotic Membrane Proteins via Different Models of Chou's Pseudo Amino Acid Compositions.

Hong-Liang Zou1, Xuan Xiao2,3,4.   

Abstract

Given a membrane protein sequence, how can we identify its type, particularly when a query protein may have the multiplex character, i.e., simultaneously exist at two or more different types. However, most of the existing predictors or methods can only be used to deal with the single-type or "singleplex" membrane proteins. Actually, multiple-type or "multiplex" membrane proteins should not be ignored because they usually posses some unique biological functions worthy of our special notice. In this study, three different models were developed, which have the ability to deal with the systems containing both singleplex and multiplex membrane proteins. The overall success rate thus obtained was 0.6440, indicating that the study may become a very useful high-throughput tool in identifying the functional types of membrane proteins.

Entities:  

Keywords:  Functional types; Multiplex membrane proteins; Singleplex membrane proteins; Success rate

Mesh:

Substances:

Year:  2015        PMID: 26458844     DOI: 10.1007/s00232-015-9830-9

Source DB:  PubMed          Journal:  J Membr Biol        ISSN: 0022-2631            Impact factor:   1.843


  27 in total

1.  Prediction of membrane protein types based on the hydrophobic index of amino acids.

Authors:  Z P Feng; C T Zhang
Journal:  J Protein Chem       Date:  2000-05

2.  Wavelet images and Chou's pseudo amino acid composition for protein classification.

Authors:  Loris Nanni; Sheryl Brahnam; Alessandra Lumini
Journal:  Amino Acids       Date:  2011-10-13       Impact factor: 3.520

3.  MemHyb: predicting membrane protein types by hybridizing SAAC and PSSM.

Authors:  Maqsood Hayat; Asifullah Khan
Journal:  J Theor Biol       Date:  2011-10-06       Impact factor: 2.691

4.  Prediction of the types of membrane proteins based on discrete wavelet transform and support vector machines.

Authors:  Jian-Ding Qiu; Xing-Yu Sun; Jian-Hua Huang; Ru-Ping Liang
Journal:  Protein J       Date:  2010-02       Impact factor: 2.371

5.  Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach.

Authors:  Yu-hong Zeng; Yan-zhi Guo; Rong-quan Xiao; Li Yang; Le-zheng Yu; Meng-long Li
Journal:  J Theor Biol       Date:  2009-03-31       Impact factor: 2.691

6.  iLoc-Animal: a multi-label learning classifier for predicting subcellular localization of animal proteins.

Authors:  Wei-Zhong Lin; Jian-An Fang; Xuan Xiao; Kuo-Chen Chou
Journal:  Mol Biosyst       Date:  2013-01-31

7.  A multilabel model based on Chou's pseudo-amino acid composition for identifying membrane proteins with both single and multiple functional types.

Authors:  Chao Huang; Jing-Qi Yuan
Journal:  J Membr Biol       Date:  2013-04-02       Impact factor: 1.843

8.  Using cellular automata images and pseudo amino acid composition to predict protein subcellular location.

Authors:  X Xiao; S Shao; Y Ding; Z Huang; K-C Chou
Journal:  Amino Acids       Date:  2005-07-28       Impact factor: 3.520

9.  Some remarks on protein attribute prediction and pseudo amino acid composition.

Authors:  Kuo-Chen Chou
Journal:  J Theor Biol       Date:  2010-12-17       Impact factor: 2.691

10.  The universal protein resource (UniProt).

Authors: 
Journal:  Nucleic Acids Res       Date:  2007-11-27       Impact factor: 16.971

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  4 in total

1.  Predicting membrane proteins and their types by extracting various sequence features into Chou's general PseAAC.

Authors:  Ahmad Hassan Butt; Nouman Rasool; Yaser Daanial Khan
Journal:  Mol Biol Rep       Date:  2018-09-20       Impact factor: 2.316

2.  Classifying Multifunctional Enzymes by Incorporating Three Different Models into Chou's General Pseudo Amino Acid Composition.

Authors:  Hong-Liang Zou; Xuan Xiao
Journal:  J Membr Biol       Date:  2016-04-25       Impact factor: 1.843

Review 3.  Some illuminating remarks on molecular genetics and genomics as well as drug development.

Authors:  Kuo-Chen Chou
Journal:  Mol Genet Genomics       Date:  2020-01-01       Impact factor: 3.291

4.  Ensemble of Multiple Classifiers for Multilabel Classification of Plant Protein Subcellular Localization.

Authors:  Warin Wattanapornprom; Chinae Thammarongtham; Apiradee Hongsthong; Supatcha Lertampaiporn
Journal:  Life (Basel)       Date:  2021-03-30
  4 in total

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