%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