{"updated":"2025-01-22T03:43:59.877689+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00059101","sets":["1164:5352:5368:5371"]},"path":["5371"],"owner":"1","recid":"59101","title":["能動学習法を用いた創薬スクリーニング方法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2005-07-25"},"_buckets":{"deposit":"7991e880-1a0d-4ba0-946e-d8b1d9a6b7f6"},"_deposit":{"id":"59101","pid":{"type":"depid","value":"59101","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"能動学習法を用いた創薬スクリーニング方法","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"能動学習法を用いた創薬スクリーニング方法"},{"subitem_title":"Efficient Drug Screening using Active Learning","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2005-07-25","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"日本電気（株）基礎・環境研究所"},{"subitem_text_value":"日本電気（株）バイオIT事業推進センター"},{"subitem_text_value":"日本電気（株）基礎・環境研究所"},{"subitem_text_value":"日本電気（株）基礎・環境研究所"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Bioinformation Fundamental Research Laboratories NEC Corporation","subitem_text_language":"en"},{"subitem_text_value":"Bio-IT Business Promotion Center NEC Corporation","subitem_text_language":"en"},{"subitem_text_value":"Bioinformation Fundamental Research Laboratories NEC Corporation","subitem_text_language":"en"},{"subitem_text_value":"Bioinformation Fundamental Research Laboratories NEC Corporation","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 file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/59101/files/IPSJ-BIO05001007.pdf"},"date":[{"dateType":"Available","dateValue":"2007-07-25"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-BIO05001007.pdf","filesize":[{"value":"338.2 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"41"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"5f975fd3-57f3-402b-9739-e47f073b280c","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2005 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"麻生川, 稔"},{"creatorName":"襲田, 勉"},{"creatorName":"藤原, 由希子"},{"creatorName":"山下, 慶子"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Minoru, Asogawa","creatorNameLang":"en"},{"creatorName":"Tsutomu, Osoda","creatorNameLang":"en"},{"creatorName":"Yukiko, Fujiwara","creatorNameLang":"en"},{"creatorName":"Yoshiko, Yamashita","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12055912","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"創薬の探索で、標的とするタンパク質と結合する化合物スクリーニングする過程に於いて、膨大な化合物に対して全ての化合物をハイスル－プットでスクリーニングする方法（HTS)が、近年良く使われている。本発表では、能動学習法を用いることによって、化合物を効率良く選択し実験を行うことにより、HTSに比べて効率的スクリーニングが可能であることを示した。手法の検証に、創薬研究で重要なG蛋白質共役型受容体（G-protein coupled receptor:GPCR)を標的とする化合物群を利用した。ヒット化合物が0.6％含まれる約20万種類の化合物を用いたシミュレーション実験では、全体の20％の化合物の実験から、90％のヒット化合物を選抜することができた。また、本手法で新規に発見した8化合物（1μM濃度）についても、同様に得ることが可能であることを示した。","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"At the phase of lead chemical compounds search for drug discovery,both the combinatorial chemistry method and the high throughput screening (HTS) method are successfully utilized and discover several hit chemical compounds from huge chemical library. In this paper,we proposed an active learning method as an efficient chemical screening method and shown its effectiveness. To demonstrate system performance G-protein coupled receptor is chosen as a target protein. According to the computer simulation results,it is shown that one fifth of screening is enough for finding ninety percent of all hit compounds,from 200,000 compound library. By utilizing this method,we have found eight novel chemical compounds,and found that we could have found those compounds same efficiency as the computer simulation.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"47","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告バイオ情報学（BIO）"}],"bibliographicPageStart":"43","bibliographicIssueDates":{"bibliographicIssueDate":"2005-07-25","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"74(2005-BIO-001)","bibliographicVolumeNumber":"2005"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"created":"2025-01-18T23:21:56.628175+00:00","id":59101,"links":{}}