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Support Vector Machine for predicting α-turn types

✍ Scribed by Yu-Dong Cai; Kai-Yan Feng; Yi-Xue Li; Kuo-Chen Chou


Book ID
117408526
Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
48 KB
Volume
24
Category
Article
ISSN
0196-9781

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Support vector machines for the classifi
✍ Dr Yu-Dong Cai; Xiao-Jun Liu; Xue-biao Xu; Kuo-Chen Chou 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 73 KB

## Abstract The support vector machines (SVMs) method is proposed because it can reflect the sequence‐coupling effect for a tetrapeptide in not only a β‐turn or non‐β‐turn, but also in different types of β‐turn. The results of the model for 6022 tetrapeptides indicate that the rates of self‐consist