Based on improved parameters predicting protein fold

  • Lei Liu, Xiuzhen Hu
  • Published 2010 in
    2010 Sixth International Conference on Natural…

Abstract

Based on the protein sequence, by selecting the amino acid composition, motif frequency, low frequency of power spectral density, the predicted secondary structure and the value of auto-correlation function as characteristic parameters, an approach of support vector machine for predicting 27-class protein folds is proposed. Overall recognition accuracy… (More)
DOI: 10.1109/ICNC.2010.5583586

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