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Open Access Research article

Improving the performance of β-turn prediction using predicted shape strings and a two-layer support vector machine model

Zehui Tang, Tonghua Li*, Rida Liu, Wenwei Xiong, Jiangming Sun, Yaojuan Zhu and Guanyan Chen

Author Affiliations

Department of Chemistry, Tongji University, Shanghai, 200092, China

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BMC Bioinformatics 2011, 12:283  doi:10.1186/1471-2105-12-283

Published: 13 July 2011

First paragraph (this article has no abstract)

The β-turn is a secondary protein structure type that plays an important role in protein configuration and function. Development of accurate prediction methods to identify β-turns in protein sequences is valuable. Several methods for β-turn prediction have been developed; however, the prediction quality is still a challenge and there is substantial room for improvement. Innovations of the proposed method focus on discovering effective features, and constructing a new architectural model.