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Korean Society for Biochemistry and Molecular Biology (생화학분자생물학회)
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A novel method for predicting protein subcellular localization based on pseudo amino acid composition

  • Ma, Junwei (School of Control Science and Engineering, Dalian University of Technology) ;
  • Gu, Hong (School of Control Science and Engineering, Dalian University of Technology)
  • Received : 2010.05.24
  • Accepted : 2010.08.12
  • Published : 2010.10.31
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Abstract

In this paper, a novel approach, ELM-PCA, is introduced for the first time to predict protein subcellular localization. Firstly, Protein Samples are represented by the pseudo amino acid composition (PseAAC). Secondly, the principal component analysis (PCA) is employed to extract essential features. Finally, the Elman Recurrent Neural Network (RNN) is used as a classifier to identify the protein sequences. The results demonstrate that the proposed approach is effective and practical.

Keywords

References

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