Amino Acids

, Volume 42, Issue 5, pp 1619–1625

Predicting subcellular location of apoptosis proteins with pseudo amino acid composition: approach from amino acid substitution matrix and auto covariance transformation

  • Xiaoqing Yu
  • Xiaoqi Zheng
  • Taigang Liu
  • Yongchao Dou
  • Jun Wang
Original Article

Abstract

Apoptosis proteins are very important for understanding the mechanism of programmed cell death. Obtaining information on subcellular location of apoptosis proteins is very helpful to understand the apoptosis mechanism. In this paper, based on amino acid substitution matrix and auto covariance transformation, we introduce a new sequence-based model, which not only quantitatively describes the differences between amino acids, but also partially incorporates the sequence-order information. This method is applied to predict the apoptosis proteins’ subcellular location of two widely used datasets by the support vector machine classifier. The results obtained by jackknife test are quite promising, indicating that the proposed method might serve as a potential and efficient prediction model for apoptosis protein subcellular location prediction.

Keywords

Apoptosis proteins Subcellular location Substitution matrix Auto covariance transformation Support vector machine 

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Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  • Xiaoqing Yu
    • 1
  • Xiaoqi Zheng
    • 1
    • 2
  • Taigang Liu
    • 3
  • Yongchao Dou
    • 4
  • Jun Wang
    • 1
    • 2
  1. 1.Department of MathematicsShanghai Normal UniversityShanghaiChina
  2. 2.Scientific Computing Key Laboratory of Shanghai UniversitiesShanghaiChina
  3. 3.College of Information Sciences and EngineeringShandong Agricultural UniversityTaianChina
  4. 4.School of Mathematical SciencesDalian University of TechnologyDalianChina

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