{"created":"2023-05-15T12:17:01.070814+00:00","id":605,"links":{},"metadata":{"_buckets":{"deposit":"d7a7251b-1a1f-4b06-a74a-3c42071fd14f"},"_deposit":{"created_by":3,"id":"605","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"605"},"status":"published"},"_oai":{"id":"oai:tuis.repo.nii.ac.jp:00000605","sets":["1:4:186:187"]},"author_link":["2673","2674","2675","2676"],"control_number":"605","item_1701760134620":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"東京情報大学","subitem_publisher_language":"ja"}]},"item_5_biblio_info_12":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2018-09-30","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicPageEnd":"74","bibliographicPageStart":"63","bibliographicVolumeNumber":"22","bibliographic_titles":[{"bibliographic_title":"東京情報大学研究論集","bibliographic_titleLang":"ja"}]}]},"item_5_description_10":{"attribute_name":"抄録(日)","attribute_value_mlt":[{"subitem_description":"生体内のタンパク質間相互作用（PPI）の全体、タンパク質のインタラクトームを明らかにすることは、生物学的なパスウェイやタンパク質の機能を理解するために重要である。それを明らかにするために、現在の実験技術の限界を解決する形で、その相互作用を予測する計算科学的な手法がこれまでに数多く提案されてきた。筆者らは、近年、インタラクトームレベルのヒトの学習データセットを用いて、以前に開発したPSOPIAの高性能化に成功した。本研究では、新しいPSOPIAの有効性を検証するために、現在最も予測性能が高いと報告されている別の予測法との性能比較を行った。その結果、PSOPIAはより多くの信頼性の高いPPIを予測できることが示された。また、PSOPIAは、マウスやラットのPPI予測にも有効であることが示された。さらに、以上の結果を含めて、PSOPIAのさらなる高性能化や応用について議論を行うものである。","subitem_description_language":"ja","subitem_description_type":"Other"}]},"item_5_description_11":{"attribute_name":"抄録(英)","attribute_value_mlt":[{"subitem_description":"Identification of protein interactome, the whole set of protein-protein interactions (PPI) in vivo, is important to understand biological pathways and functions of many proteins. Many computational methods to predict PPIs have so far been proposed in order to make up for limitations of current experimental techniques for identifying PPIs. We have recently improved the performance of our PPI prediction method, PSOPIA, using a human training dataset at the interactome-level. In this study, the new PSOPIA was compared with a method that has recently been developed and reported to have the highest performance of the currently available methods, in order to evaluate the predictability of the PSOPIA. As a result, it could predict more PPIs with high-confidence than the reported method. Also, it was shown that the PSOPIA could predict PPIs in mouse and rat. Furthermore, from these results, we discuss the further improvement of the PSOPIA and its applications.","subitem_description_language":"en","subitem_description_type":"Other"}]},"item_5_description_15":{"attribute_name":"表示順","attribute_value_mlt":[{"subitem_description":"7","subitem_description_type":"Other"}]},"item_5_description_2":{"attribute_name":"ページ属性","attribute_value_mlt":[{"subitem_description":"P","subitem_description_type":"Other"}]},"item_5_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.15029/00000594","subitem_identifier_reg_type":"JaLC"}]},"item_5_source_id_1":{"attribute_name":"雑誌書誌ID","attribute_value_mlt":[{"subitem_source_identifier":"AA11155514","subitem_source_identifier_type":"NCID"}]},"item_5_text_6":{"attribute_name":"著者所属(日)","attribute_value_mlt":[{"subitem_text_language":"ja","subitem_text_value":"東京情報大学総合情報学部"},{"subitem_text_language":"ja","subitem_text_value":"国立研究開発法人医薬基盤・健康・栄養研究所バイオインフォマティクスプロジェクト"}]},"item_5_text_7":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_language":"en","subitem_text_value":"Faculty of Informatics, Tokyo University of Information Sciences"},{"subitem_text_language":"en","subitem_text_value":"Bioinformatics Project, National Institutes of Biomedical Innovation, Health and Nutrition"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"村上, 洋一","creatorNameLang":"ja"},{"creatorName":"ムラカミ, ヨウイチ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"水口, 賢司","creatorNameLang":"ja"},{"creatorName":"ミズグチ, ケンジ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"MurakamI, Yoichi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Mizuguchi, Kenji","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2018-11-19"}],"displaytype":"detail","filename":"r22-1-s7.pdf","filesize":[{"value":"915.8 kB"}],"format":"application/pdf","license_note":"TUIS","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"r22-1-s7.pdf","url":"https://tuis.repo.nii.ac.jp/record/605/files/r22-1-s7.pdf"},"version_id":"5d3ff704-5226-4f2d-87aa-f0c3846bd472"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"タンパク質間相互作用予測","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"タンパク質間相互作用ネットワーク","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"相同相互作用","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"ビッグデータ","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"機械学習","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"Prediction of protein-protein interactions","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Protein-protein interaction networks","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"homologous interactions","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Big data","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Machine Learning","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"インタラクトームレベルのデータセットを用いたタンパク質間相互作用予測とその応用","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"インタラクトームレベルのデータセットを用いたタンパク質間相互作用予測とその応用","subitem_title_language":"ja"},{"subitem_title":"Prediction of Protein-Protein Interactions with an Interactome-level Dataset and Its Applications","subitem_title_language":"en"}]},"item_type_id":"5","owner":"3","path":["187"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2018-09-30"},"publish_date":"2018-09-30","publish_status":"0","recid":"605","relation_version_is_last":true,"title":["インタラクトームレベルのデータセットを用いたタンパク質間相互作用予測とその応用"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2023-12-21T03:03:52.676029+00:00"}