Sequence-based prediction of gamma-turn types using a physicochemical property-based decision tree method

Chyn Liaw, Chun Wei Tung, Shinn Jang Ho, Shinn Ying Ho

研究成果: 雜誌貢獻文章

3 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
頁(從 - 到)898-902
頁數5
期刊World Academy of Science, Engineering and Technology
65
出版狀態已發佈 - 五月 1 2010
對外發佈Yes

ASJC Scopus subject areas

  • Engineering(all)

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