{"id":176273,"updated":"2025-01-20T05:55:50.269289+00:00","links":{},"created":"2025-01-19T00:45:56.785801+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00176273","sets":["1164:5352:8620:8988"]},"path":["8988"],"owner":"11","recid":"176273","title":["Convolutional Neural Networkによるヒット化合物判定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-12-02"},"_buckets":{"deposit":"0f83ddcf-ded6-4683-9b26-a208b965f62a"},"_deposit":{"id":"176273","pid":{"type":"depid","value":"176273","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"Convolutional Neural Networkによるヒット化合物判定","author_link":["370503"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Convolutional Neural Networkによるヒット化合物判定"}]},"item_type_id":"4","publish_date":"2016-12-02","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"大阪大学"},{"subitem_text_value":"大阪大学"},{"subitem_text_value":"大阪大学"},{"subitem_text_value":"大阪大学"},{"subitem_text_value":"田辺三菱製薬株式会社"},{"subitem_text_value":"田辺三菱製薬株式会社"},{"subitem_text_value":"田辺三菱製薬株式会社"},{"subitem_text_value":"田辺三菱製薬株式会社"},{"subitem_text_value":"大阪大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Osaka University","subitem_text_language":"en"},{"subitem_text_value":"Osaka University","subitem_text_language":"en"},{"subitem_text_value":"Osaka University","subitem_text_language":"en"},{"subitem_text_value":"Osaka University","subitem_text_language":"en"},{"subitem_text_value":"Mitsubishi Tanabe Pharma Corporation","subitem_text_language":"en"},{"subitem_text_value":"Mitsubishi Tanabe Pharma Corporation","subitem_text_language":"en"},{"subitem_text_value":"Mitsubishi Tanabe Pharma Corporation","subitem_text_language":"en"},{"subitem_text_value":"Mitsubishi Tanabe Pharma Corporation","subitem_text_language":"en"},{"subitem_text_value":"Osaka University","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/176273/files/IPSJ-BIO16048003.pdf","label":"IPSJ-BIO16048003.pdf"},"date":[{"dateType":"Available","dateValue":"2018-12-02"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-BIO16048003.pdf","filesize":[{"value":"367.2 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":"9937f1f5-da62-489f-b448-5753f4035c3f","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2016 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"杉山, 佳奈子 浅谷 学嗣 田川 聖一 新岡 宏彦 齊藤 隆太 西村 裕一 松本 健太郎 大野 研 三宅 淳"}],"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_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8590","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"創薬におけるフェノタイプスクリーニングの手法として Deep Learning を適用した.ある化合物を細胞に添加した際に細胞の表現型が変化したかどうかを Deep Learning を用いて判定することを試みた.複数の化合物において目視では判別が困難な表現型の変化を自動的に検出することができた.高い精度で判別できた化合物とそうでないものがあることから,この手法を用いることで,細胞に何らかの影響を与える化合物 (ヒット化合物) を検出することができるのではないかと考える.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"2","bibliographic_titles":[{"bibliographic_title":"研究報告バイオ情報学(BIO)"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2016-12-02","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicVolumeNumber":"2016-BIO-48"}]},"relation_version_is_last":true,"weko_creator_id":"11"}}