{"created":"2025-01-19T01:25:57.071060+00:00","updated":"2025-01-19T12:27:25.493239+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00226502","sets":["1164:2735:11166:11285"]},"path":["11285"],"owner":"44499","recid":"226502","title":["タンパク質言語モデルを利用した抗生物質耐性メカニズムの予測"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-06-22"},"_buckets":{"deposit":"de860850-caf7-4bb5-af4a-c3d06af7e3a5"},"_deposit":{"id":"226502","pid":{"type":"depid","value":"226502","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"タンパク質言語モデルを利用した抗生物質耐性メカニズムの予測","author_link":["601501","601504","601503","601502"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"タンパク質言語モデルを利用した抗生物質耐性メカニズムの予測"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"バイオ情報学1","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2023-06-22","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"早稲田大学"},{"subitem_text_value":"日立製作所基礎研究センタ"},{"subitem_text_value":"日立製作所基礎研究センタ"},{"subitem_text_value":"早稲田大学／産総研・早稲田大学CBBD-OIL"}]},"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/226502/files/IPSJ-MPS23143034.pdf","label":"IPSJ-MPS23143034.pdf"},"date":[{"dateType":"Available","dateValue":"2025-06-22"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MPS23143034.pdf","filesize":[{"value":"864.1 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":"17"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"e52af237-4ab8-446b-b1bf-5620b06e6976","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"柳本, 香菜美"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"細田, 至温"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"佐藤, 美和"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"浜田, 道昭"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10505667","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":"2188-8833","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"抗生物質は細菌感染症の治療に広く用いられているが，耐性菌による被害が世界的な問題となっている．抗生物質耐性菌は，病原菌が環境中の抗生物質耐性遺伝子（Antibiotic Resistance Genes：ARG）を獲得することで出現することがある．そのため，環境中の ARG を特定することが耐性菌対策の第一歩である．そこで本研究ではタンパク質言語モデルを利用し，ARG の特定と耐性の発現メカニズムの予測を行うモデルを開発した．その結果，提案モデルは既存モデルより高い精度を示した他，i）未知の ARG に対する高い汎化能力を持っていること，ii）学習に用いている Attention によって ARG 内の抗生物質結合部位を認識できることを示唆した．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"2","bibliographic_titles":[{"bibliographic_title":"研究報告数理モデル化と問題解決（MPS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2023-06-22","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"34","bibliographicVolumeNumber":"2023-MPS-143"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":226502,"links":{}}