Regularity of secondary protein structures: A genetic algorithm approach

Yen Wei Chu*, Chuen-Tsai Sun

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

3 Scopus citations

Abstract

Instead of putting too much focus on current approaches to protein secondary structure pre-diction, the authors will look at the natural instincts of protein secondary structures, and pro-pose a schema representation which are offered for identifying regular patterns among various types of secondary protein structures. The schemas employ genetic algorithms base on a steady-state strategy and two disjunctive data sets will be used to verify fitness function for our approach. In this study, 904 schemas were found, and nearly half of the said schemas reached confidence of 70% and higher. Finally, the paper concludes with some illustrations of significant schemas produced as part of this study, with brief explanations of their significance.

Original languageEnglish
Pages2104-2108
Number of pages5
StatePublished - 17 Sep 2004
EventWCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings - Hangzhou, China
Duration: 15 Jun 200419 Jun 2004

Conference

ConferenceWCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings
CountryChina
CityHangzhou
Period15/06/0419/06/04

Keywords

  • Association rule mining
  • Machine learning
  • Pattern finding
  • Secondary protein structures
  • Steady-state genetic algorithm

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