{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00216915","sets":["1164:5352:10882:10883"]},"path":["10883"],"owner":"44499","recid":"216915","title":["In silico drug design by Molecular Generative Model and Docking"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-03-03"},"_buckets":{"deposit":"85da4c1b-56fd-4a46-aedb-e526c9706431"},"_deposit":{"id":"216915","pid":{"type":"depid","value":"216915","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"In silico drug design by Molecular Generative Model and Docking","author_link":["560922","560924","560923","560926","560921","560925"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"In silico drug design by Molecular Generative Model and Docking"},{"subitem_title":"In silico drug design by Molecular Generative Model and Docking","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2022-03-03","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"School of Computing, Tokyo Institute of Technology"},{"subitem_text_value":"Tokyo Tech Academy for Convergence of Materials and Informatics (TAC-MI), Tokyo Institute of Technology"},{"subitem_text_value":"School of Computing, Tokyo Institute of Technology"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"School of Computing, Tokyo Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Tokyo Tech Academy for Convergence of Materials and Informatics (TAC-MI), Tokyo Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"School of Computing, Tokyo Institute of Technology","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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/216915/files/IPSJ-BIO22069005.pdf","label":"IPSJ-BIO22069005.pdf"},"date":[{"dateType":"Available","dateValue":"2024-03-03"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-BIO22069005.pdf","filesize":[{"value":"3.9 MB"}],"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":"9f1c8100-2f0d-4924-92a9-e2fc8b304e38","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Dian, Ma"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Nobuaki, Yasuo"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Masakazu, Sekijima"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Dian, Ma","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Nobuaki, Yasuo","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Masakazu, Sekijima","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_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":"This study develops a new deep learning-based extendable multiple-objective molecular generator (MOMolGen). This generator integrates a recurrent neural network (RNN) to generate molecules and Pareto Multi-Objective Monte Carlo Tree Search (Pareto MOMCTS) to decide search direction. This generator is validated by generating compounds for specific target proteins with evaluation on the drug-like properties and docking score.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"This study develops a new deep learning-based extendable multiple-objective molecular generator (MOMolGen). This generator integrates a recurrent neural network (RNN) to generate molecules and Pareto Multi-Objective Monte Carlo Tree Search (Pareto MOMCTS) to decide search direction. This generator is validated by generating compounds for specific target proteins with evaluation on the drug-like properties and docking score.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告バイオ情報学（BIO）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2022-03-03","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"5","bibliographicVolumeNumber":"2022-BIO-69"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T15:41:19.062682+00:00","created":"2025-01-19T01:17:25.601162+00:00","id":216915}