Skip to main content
Log in

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

  • Published:
The Journal of Membrane Biology Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Cai Y-D, Zhou G-P, Chou K-C (2003) Support vector machines for predicting membrane protein types by using functional domain composition. Biophys J 84:3257–3263

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Chou KC (2001) Prediction of protein cellular attributes using pseudo-amino acid composition. Proteins 43:246–255

    Article  CAS  PubMed  Google Scholar 

  • Chou K-C (2005) Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes. Bioinformatics 21:10–19

    Article  CAS  PubMed  Google Scholar 

  • Chou K-C (2011) Some remarks on protein attribute prediction and pseudo amino acid composition. J Theor Biol 273:236–247

    Article  CAS  PubMed  Google Scholar 

  • Chou K-C, Cai Y-D (2005) Prediction of membrane protein types by incorporating amphipathic effects. J Chem Inf Model 45:407–413

    Article  CAS  PubMed  Google Scholar 

  • Chou K-C, Shen H-B (2007) MemType-2L: a web server for predicting membrane proteins and their types by incorporating evolution information through Pse-PSSM. Biochem. Biophys. Res. Commun. 360:339–345

    Article  CAS  PubMed  Google Scholar 

  • Consortium, U (2008) The universal protein resource (UniProt). Nucleic Acids Res 36:D190–D195

    Article  Google Scholar 

  • Feng Z-P, Zhang C-T (2000) Prediction of membrane protein types based on the hydrophobic index of amino acids. J Protein Chem 19:269–275

    Article  CAS  PubMed  Google Scholar 

  • Hayat M, Khan A (2011) Predicting membrane protein types by fusing composite protein sequence features into pseudo amino acid composition. J Theor Biol 271:10–17

    Article  CAS  PubMed  Google Scholar 

  • Hayat M, Khan A (2012) MemHyb: predicting membrane protein types by hybridizing SAAC and PSSM. J Theor Biol 292:93–102

    Article  CAS  PubMed  Google Scholar 

  • Huang C, Yuan J-Q (2013a) A multilabel model based on Chou’s pseudo-amino acid composition for identifying membrane proteins with both single and multiple functional types. J Membr Biol 246:327–334

    Article  CAS  PubMed  Google Scholar 

  • Huang C, Yuan J-Q (2013b) Predicting protein subchloroplast locations with both single and multiple sites via three different modes of Chou’s pseudo amino acid compositions. J Theor Biol 335:205–212

    Article  CAS  PubMed  Google Scholar 

  • Huang Y, Niu B, Gao Y, Fu L, Li W (2010) CD-HIT suite: a web server for clustering and comparing biological sequences. Bioinformatics 26:680–682

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Huang G, Zhang Y, Chen L, Zhang N, Huang T, Cai Y-D (2014) Prediction of multi-type membrane proteins in human by an integrated approach. PLoS ONE 9:e93553

    Article  PubMed  PubMed Central  Google Scholar 

  • Jian X, Wei R, Zhan T, Gu Q (2008) Using the concept of Chou’s pseudo amino acid composition to predict apoptosis proteins subcellular location: an approach by approximate entropy. Protein Pept Lett 15:392–396

    Article  Google Scholar 

  • Lin H (2008) The modified Mahalanobis discriminant for predicting outer membrane proteins by using Chou’s pseudo amino acid composition. J Theor Biol 252:350–356

    Article  CAS  PubMed  Google Scholar 

  • Lin W-Z, Fang J-A, Xiao X, Chou K-C (2013) iLoc-Animal: a multi-label learning classifier for predicting subcellular localization of animal proteins. Mol BioSyst 9:634–644

    Article  CAS  PubMed  Google Scholar 

  • Mohabatkar H (2010) Prediction of cyclin proteins using Chou’s pseudo amino acid composition. Protein Pept Lett 17:1207–1214

    Article  CAS  PubMed  Google Scholar 

  • Nanni L, Brahnam S, Lumini A (2012) Wavelet images and Chou’s pseudo amino acid composition for protein classification. Amino Acids 43:657–665

    Article  CAS  PubMed  Google Scholar 

  • Pu X, Guo J, Leung H, Lin Y (2007) Prediction of membrane protein types from sequences and position-specific scoring matrices. J Theor Biol 247:259–265

    Article  CAS  PubMed  Google Scholar 

  • Qiu J-D, Sun X-Y, Huang J-H, Liang R-P (2010) Prediction of the types of membrane proteins based on discrete wavelet transform and support vector machines. Protein J 29:114–119

    Article  CAS  PubMed  Google Scholar 

  • Schäffer AA, Aravind L, Madden TL, Shavirin S, Spouge JL, Wolf YI, Koonin EV, Altschul SF (2001) Improving the accuracy of PSI-BLAST protein database searches with composition-based statistics and other refinements. Nucleic Acids Res 29:2994–3005

    Article  PubMed  PubMed Central  Google Scholar 

  • Wu Z-C, Xiao X, Chou K-C (2012) iLoc-Gpos: a multi-layer classifier for predicting the subcellular localization of singleplex and multiplex gram-positive bacterial proteins. Protein Pept Lett 19:4–14

    Article  CAS  PubMed  Google Scholar 

  • Xiao X, Shao S, Ding Y, Huang Z, Chou K-C (2006) Using cellular automata images and pseudo amino acid composition to predict protein subcellular location. Amino Acids 30:49–54

    Article  CAS  PubMed  Google Scholar 

  • Xiao X, Wang P, Lin W-Z, Jia J-H, Chou K-C (2013) iAMP-2L: a two-level multi-label classifier for identifying antimicrobial peptides and their functional types. Anal Biochem 436:168–177

    Article  CAS  PubMed  Google Scholar 

  • Zeng Y-H, Guo Y-Z, Xiao R-Q, Yang L, Yu L-Z, Li M-L (2009) Using the augmented Chou’s pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach. J Theor Biol 259:366–372

    Article  CAS  PubMed  Google Scholar 

  • Zhang M-L, Zhou Z-H (2007) ML-KNN: a lazy learning approach to multi-label learning. Pattern Recogn 40:2038–2048

    Article  Google Scholar 

  • Zou H-L (2014) A multi-label classifier for prediction membrane protein functional types in animal. J Membr Biol 247:1141–1148

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Hong-Liang Zou or Xuan Xiao.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zou, HL., Xiao, X. Predicting the Functional Types of Singleplex and Multiplex Eukaryotic Membrane Proteins via Different Models of Chou’s Pseudo Amino Acid Compositions. J Membrane Biol 249, 23–29 (2016). https://doi.org/10.1007/s00232-015-9830-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00232-015-9830-9

Keywords

Navigation