Protein Disordered Region Prediction by SVM with Post-Processing
學年 96
學期 2
發表日期 2008-03-04
作品名稱 Protein Disordered Region Prediction by SVM with Post-Processing
作品名稱（其他語言）
著者 Hsieh, Cheng-wei; Hsu, Hui-huang; Lu, Ming-da
作品所屬單位 淡江大學資訊工程學系
出版者 IEEE Computer Society
會議名稱 Proceedings of the 2nd International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2008)
會議地點 Barcelona, Spain
摘要 In proteomics, a proteinpsilas function is always strongly related to its structure. But, while some parts of a protein have a fixed definite structure, such as alpha-helix, beta-sheet, or coil, other parts are not associated with well-defined conformations. Previously, these so-called disordered regions were not thought to have a specific function of their own. But, recent studies suggest that some disordered regions may have important signaling or regulatory functions. In addition, some critical diseases are strongly related to these disordered regions. Hence, prediction of these disordered regions is essential. In this paper, we try to use the support vector machine (SVM) to predict the disordered regions. Furthermore, this paper emphasizes post processing of the SVM prediction results. Two post-processing algorithms are introduced. These algorithms are used to smooth the primary results by SVM. Different from other studies, these smoothing steps are related to the neighborspsila distance to the candidate node. The results show that these algorithms can improve the prediction accuracy further by 1%.
關鍵字 Post processing; Protein disordered region; Protein structure prediction; SVM; Smoothing
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20080304~20080307
通訊作者
國別 ESP
公開徵稿
出版型式
出處 Proceedings of the 2nd International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2008), pp.693-698
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