Regularity of secondary protein structures: a genetic algorithm approach

Instead of putting too much focus on current approaches to protein secondary structure prediction, the authors look at the natural instincts of protein secondary structures, and propose 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 are used to verify the fitness function for our approach. In this study, 904 schemas are found, and nearly half of the said schemas reach a 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.