{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00058888","sets":["1164:5352:5353:5356"]},"path":["5356"],"owner":"1","recid":"58888","title":["結晶スクリーニング結果を活用した機械学習による結晶化条件の予測モデルアレイ"],"pubdate":{"attribute_name":"公開日","attribute_value":"2008-06-19"},"_buckets":{"deposit":"73ae06a5-30d9-4328-ad36-5e523218435f"},"_deposit":{"id":"58888","pid":{"type":"depid","value":"58888","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"結晶スクリーニング結果を活用した機械学習による結晶化条件の予測モデルアレイ","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"結晶スクリーニング結果を活用した機械学習による結晶化条件の予測モデルアレイ"},{"subitem_title":"Developing a prediction array of crystallization condition models from screening trial results by machine learning method","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2008-06-19","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京工業大学大学院情報理工学研究科／東京大学大学院理学系研究科"},{"subitem_text_value":"理化学研究所横浜研究所生命分子システム基盤研究領域"},{"subitem_text_value":"理化学研究所横浜研究所生命分子システム基盤研究領域"},{"subitem_text_value":"理化学研究所横浜研究所生命分子システム基盤研究領域／群馬大学大学院工学研究科"},{"subitem_text_value":"東京工業大学大学院情報理工学研究科"},{"subitem_text_value":"理化学研究所横浜研究所生命分子システム基盤研究領域／東京大学大学院理学系研究科"},{"subitem_text_value":"理化学研究所横浜研究所生命情報基盤研究部門"},{"subitem_text_value":"理化学研究所横浜研究所生命分子システム基盤研究領域／東北大学大学院医工学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Tokyo Institute of Technology / The Univ. of Tokyo, Graduate School of Science","subitem_text_language":"en"},{"subitem_text_value":"RIKEN Yokohama Institute, SSBC","subitem_text_language":"en"},{"subitem_text_value":"RIKEN Yokohama Institute, SSBC","subitem_text_language":"en"},{"subitem_text_value":"RIKEN Yokohama Institute, SSBC / Gunma Univ., Graduate School of Engineering","subitem_text_language":"en"},{"subitem_text_value":"Tokyo Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"RIKEN Yokohama Institute, SSBC / The Univ. of Tokyo, Graduate School of Science","subitem_text_language":"en"},{"subitem_text_value":"RIKEN Yokohama Institute, BASE","subitem_text_language":"en"},{"subitem_text_value":"RIKEN Yokohama Institute, SSBC / Tohoku Univ., School of Biomedical Engineering","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing 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線結晶構造解析分野でのソフト・ハードの発展は、顕著な効率化を実現しつつある一方で、結晶化のプロセスは、未だ試行錯誤的な経験的アプローチに終始しており、タンパク質一つの結晶化に数百から千を超える条件を実際に試すことも稀ではない。つまり、現在のタンパク質の結晶構造解析においては、その結晶化がボトルネックとなっており、結晶化プロセスの合理化は、多数の構造を知る上で急務の課題であると広く認識されている。これまで、系統的に行われた精製実験や結晶化実験における成否情報（アミノ酸配列、発現、可溶化、結晶化溶液の条件検討、そして結晶化の有無等）は、質の高い実験データベースとして蓄積されており、この情報に対して Support Vector Machine (SVM)[2] などの数理情報科学手法を適用することで、未知のタンパクに対してスクリーニング条件を絞り込む支援を行うシステムの開発を実施することを目的としている。","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"54","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告バイオ情報学（BIO）"}],"bibliographicPageStart":"49","bibliographicIssueDates":{"bibliographicIssueDate":"2008-06-19","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"58(2008-BIO-013)","bibliographicVolumeNumber":"2008"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"id":58888,"updated":"2025-01-22T03:50:07.883797+00:00","links":{},"created":"2025-01-18T23:21:46.461090+00:00"}