@article{(Open Science Index):https://publications.waset.org/pdf/3950, title = {Sequence-based Prediction of Gamma-turn Types using a Physicochemical Property-based Decision Tree Method}, author = {Chyn Liaw and Chun-Wei Tung and Shinn-Jang Ho and Shinn-Ying Ho}, country = {}, institution = {}, abstract = {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.}, journal = {International Journal of Biomedical and Biological Engineering}, volume = {4}, number = {5}, year = {2010}, pages = {331 - 335}, ee = {https://publications.waset.org/pdf/3950}, url = {https://publications.waset.org/vol/41}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 41, 2010}, }