Finding Conserved Regions in Protein Structures Using Support Vector Machines and Structure Alignment

• Item type: SIG Technical Reports(1)
• 公開日: 2012-10-08
• タイトル: Finding Conserved Regions in Protein Structures Using Support Vector Machines and Structure Alignment
• タイトル / 言語: en
• タイトル: Finding Conserved Regions in Protein Structures Using Support Vector Machines and Structure Alignment
• 言語: eng
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: Bioinformatics Center, Institute for Chemical Research, Kyoto University
• 著者所属: Bioinformatics Center, Institute for Chemical Research, Kyoto University
• 著者所属: Bioinformatics Center, Institute for Chemical Research, Kyoto University
• 著者所属(英): en
• 著者所属(英): Bioinformatics Center, Institute for Chemical Research, Kyoto University
• 著者所属(英): en
• 著者所属(英): Bioinformatics Center, Institute for Chemical Research, Kyoto University
• 著者所属(英): en
• 著者所属(英): Bioinformatics Center, Institute for Chemical Research, Kyoto University
• 著者名: Tatsuya, Akutsu; Morihiro, Hayashida; Takeyuki, Tamura
• 著者名(英): Tatsuya, Akutsu; Morihiro, Hayashida; Takeyuki, Tamura
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: In this technical report, we propose a novel method for finding conserved regions in three-dimensional protein structures, which combines support vector machines (SVMs), feature selection and protein structure alignment. For that purpose, a new feature vector is developed based on structure alignment for fragments of protein backbone structures. The results of preliminary computational experiments suggest that the proposed method is useful to find common structural fragments in similar proteins.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: In this technical report, we propose a novel method for finding conserved regions in three-dimensional protein structures, which combines support vector machines (SVMs), feature selection and protein structure alignment. For that purpose, a new feature vector is developed based on structure alignment for fragments of protein backbone structures. The results of preliminary computational experiments suggest that the proposed method is useful to find common structural fragments in similar proteins.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA12055912
• 書誌情報: 研究報告バイオ情報学（BIO）; 巻 2012-BIO-31, 号 3, p. 1-2, 発行日 2012-10-08
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会