Explore Residue Significance in Peptide Classification

  • Authors:
  • Zheng Rong Yang

  • Affiliations:
  • School of Biosciences, University of Exeter, UK

  • Venue:
  • HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
  • Year:
  • 2008

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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.