Explore Residue Significance in Peptide Classification

  • Zheng Rong Yang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5271)

Abstract

Although peptide classification has been studied for a few decades, a proper method for studying residue significance has not yet been paid much attention. This paper introduces a novel neural learning algorithm which can be used to reveal residue significance for discriminating between functional and non-functional peptides and for peptide conformation pattern analysis. The algorithm is a revised bio-basis function neural network which was introduced a few years ago.

Keywords

Peptide classification residue significance neural learning bio-basis function 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Zheng Rong Yang
    • 1
  1. 1.School of BiosciencesUniversity of ExeterUK

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