Analytic Space Management for Drug Design Application

• Item type: Trans(1)
• 公開日: 2006-11-15
• タイトル: Analytic Space Management for Drug Design Application
• タイトル / 言語: en
• タイトル: Analytic Space Management for Drug Design Application
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: Original Papers
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Graduate School of Information Science and Technology Osaka University
• 著者所属: Graduate School of Information Science and Technology Osaka University
• 著者所属: Graduate School of Information Science and Technology Osaka University
• 著者所属: Cybermedia Center Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Technology, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Technology, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Technology, Osaka University
• 著者所属(英): en
• 著者所属(英): Cybermedia Center, Osaka University
• 著者名: Takashi, Maeno; Susumu, Date; Yoshiyuki, Kido; Shinji, Shimojo
• 著者名(英): Takashi, Maeno; Susumu, Date; Yoshiyuki, Kido; Shinji, Shimojo
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Demands on efficient drug design have been increasing with the advancement of computing technology and bioinformatics. A variety of information technologies pertaining to drug design have been proposed recently and such technology mostly contributes to drug design research. Molecular docking simulation is a promising application for drug design and can be realized with current information technology. However although docking simulation and the related information technology have advanced in recent years scientists still have difficulty finding a suitable parameter set of docking simulations for accuracy of simulation. The parameter-tuning step takes a long time and existing computing technology can hardly assist in this step. This is because the parameter-tuning step involves factors that are difficult to automate with computers. In this paper we propose a new architecture for assisting procedures that require the decisions of scientists especially when they need to tune parameters in a docking simulation.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Demands on efficient drug design have been increasing with the advancement of computing technology and bioinformatics. A variety of information technologies pertaining to drug design have been proposed recently and such technology mostly contributes to drug design research. Molecular docking simulation is a promising application for drug design, and can be realized with current information technology. However although docking simulation and the related information technology have advanced in recent years, scientists still have difficulty finding a suitable parameter set of docking simulations for accuracy of simulation. The parameter-tuning step takes a long time, and existing computing technology can hardly assist in this step. This is because the parameter-tuning step involves factors that are difficult to automate with computers. In this paper, we propose a new architecture for assisting procedures that require the decisions of scientists, especially when they need to tune parameters in a docking simulation.
• 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: AA12177013
• 書誌情報: IPSJ Transactions on Bioinformatics （TBIO）; 巻 47, 号 SIG17(TBIO1), p. 93-104, 発行日 2006-11-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-6679
• 出版者 / 言語: ja
• 出版者: 情報処理学会