An ensemble approach to protein fold classification by integration of template-based assignment and support vector machine classifier.

Journal: Bioinformatics (Oxford, England)
Published Date: Mar 15, 2017

Abstract

MOTIVATION: Protein fold classification is a critical step in protein structure prediction. There are two possible ways to classify protein folds. One is through template-based fold assignment and the other is ab-initio prediction using machine learning algorithms. Combination of both solutions to improve the prediction accuracy was never explored before.

Authors

  • Jiaqi Xia
    Department of Physics, Northeast Forestry University, Harbin, China.
  • Zhenling Peng
    Center for Applied Mathematics, Tianjin University, Tianjin, China.
  • Dawei Qi
    Department of Physics, Northeast Forestry University, Harbin, China.
  • Hongbo Mu
    Northeast Forestry University, Northeast Forestry University, Harbin, 150040, CHINA.
  • Jianyi Yang
    School of Mathematical Sciences, Nankai University, Tianjin, China.

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