A Schema Finding Approach for the Regularity of Secondary Protein Structure

Instead of putting too much focus on current approaches to protein secondary structure prediction, the authors will 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 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.