%0 Journal Article
	%A Chyn Liaw and  Chun-Wei Tung and  Shinn-Jang Ho and  Shinn-Ying Ho
	%D 2010
	%J International Journal of Biomedical and Biological Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 41, 2010
	%T Sequence-based Prediction of Gamma-turn Types using a Physicochemical Property-based Decision Tree Method
	%U https://publications.waset.org/pdf/3950
	%V 41
	%X The γ-turns play important roles in protein folding and
molecular recognition. The prediction and analysis of γ-turn types are
important for both protein structure predictions and better
understanding the characteristics of different γ-turn types. This study
proposed a physicochemical property-based decision tree (PPDT)
method to interpretably predict γ-turn types. In addition to the good
prediction performance of PPDT, three simple and human
interpretable IF-THEN rules are extracted from the decision tree
constructed by PPDT. The identified informative physicochemical
properties and concise rules provide a simple way for discriminating
and understanding γ-turn types.
	%P 331 - 335