Protein binding prediction using non-metric multidimensional scaling method

• Item type: SIG Technical Reports(1)
• 公開日: 2011-06-16
• タイトル: Protein binding prediction using non-metric multidimensional scaling method
• タイトル / 言語: en
• タイトル: Protein binding prediction using non-metric multidimensional scaling method
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: バイオ情報学研究会・一般講演（B）
• 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: Department of Physics, Chuo University, Tokyo, Japan
• 著者所属: Department of Physics, Chuo University, Tokyo, Japan
• 著者所属(英): en
• 著者所属(英): Department of Physics, Chuo University, Tokyo, Japan
• 著者所属(英): en
• 著者所属(英): Department of Physics, Chuo University, Tokyo, Japan
• 著者名: Hiromu, Mogi; Y-H.Taguchi
• 著者名(英): Hiromu, Mogi; Y-H., Taguchi
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Protein-protein interaction is very important biological process. Individual proteins can form complex to function or can bind to others to recognize them, e.g. in immunological systems. In spite of that, it is unclear how they bind to each other. In other word, it is unclear which parts of protein can act as protein-protein binding sites. In this paper, we propose usage of non-metric multidimensional scaling method to align protein complexes structurally before investigating protein-protein binding site. It can align pair of proteins with deformation such that root mean square distance is minimized.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Protein-protein interaction is very important biological process. Individual proteins can form complex to function or can bind to others to recognize them, e.g. in immunological systems. In spite of that, it is unclear how they bind to each other. In other word, it is unclear which parts of protein can act as protein-protein binding sites. In this paper, we propose usage of non-metric multidimensional scaling method to align protein complexes structurally before investigating protein-protein binding site. It can align pair of proteins with deformation such that root mean square distance is minimized.
• 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 2011-BIO-25, 号 41, p. 1-2, 発行日 2011-06-16
• 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