Acta Biotheoretica

, Volume 57, Issue 3, pp 321–330

Prediction of Subcellular Localization of Apoptosis Protein Using Chou’s Pseudo Amino Acid Composition

  • Hao Lin
  • Hao Wang
  • Hui Ding
  • Ying-Li Chen
  • Qian-Zhong Li
Regular Article

Abstract

Apoptosis proteins play an essential role in regulating a balance between cell proliferation and death. The successful prediction of subcellular localization of apoptosis proteins directly from primary sequence is much benefited to understand programmed cell death and drug discovery. In this paper, by use of Chou’s pseudo amino acid composition (PseAAC), a total of 317 apoptosis proteins are predicted by support vector machine (SVM). The jackknife cross-validation is applied to test predictive capability of proposed method. The predictive results show that overall prediction accuracy is 91.1% which is higher than previous methods. Furthermore, another dataset containing 98 apoptosis proteins is examined by proposed method. The overall predicted successful rate is 92.9%.

Keywords

Apoptosis protein Subcellular localization Pseudo amino acid composition Support vector machine 

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Copyright information

© Springer Science+Business Media B.V. 2009

Authors and Affiliations

  • Hao Lin
    • 1
  • Hao Wang
    • 1
  • Hui Ding
    • 2
  • Ying-Li Chen
    • 2
  • Qian-Zhong Li
    • 2
  1. 1.Center for Bioinformatics, School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengduChina
  2. 2.Laboratory of Theoretical Biophysics, School of Physics Sciences and TechnologyInner Mongolia UniversityHohhotChina

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