@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},