{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00212164","sets":["1164:2735:10526:10644"]},"path":["10644"],"owner":"44499","recid":"212164","title":["標的配列との結合・開放エネルギー推定によるアンチセンス核酸の阻害活性モデルの研究"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-07-20"},"_buckets":{"deposit":"f8f5b6bf-62bc-4b37-b59f-aad71aecf9b1"},"_deposit":{"id":"212164","pid":{"type":"depid","value":"212164","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"標的配列との結合・開放エネルギー推定によるアンチセンス核酸の阻害活性モデルの研究","author_link":["540642","540644","540643","540645","540648","540641","540646","540647"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"標的配列との結合・開放エネルギー推定によるアンチセンス核酸の阻害活性モデルの研究"},{"subitem_title":"Antisense oligonucleotide activity analysis based on opening and binding energies to targets","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2021-07-20","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京工業大学情報理工学院情報工学系／現在，東京大学新領域創成科学研究科メディカル情報生命専攻"},{"subitem_text_value":"東京工業大学情報理工学院情報工学系／東京工業大学中分子IT創薬研究推進体"},{"subitem_text_value":"東京工業大学情報理工学院情報工学系／東京工業大学中分子IT創薬研究推進体"},{"subitem_text_value":"東京工業大学情報理工学院情報工学系／東京工業大学中分子IT創薬研究推進体"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Department of Computer Science, School of Computing, Tokyo Institute of Technology / Presently with Computational Biology and Medical Sciences, Graduate School of Frontier Science, The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"Department of Computer Science, School of Computing, Tokyo Institute of Technology / Middle Molecule IT-based Drug Discovery Laboratory (MIDL), Tokyo Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Department of Computer Science, School of Computing, Tokyo Institute of Technology / Middle Molecule IT-based Drug Discovery Laboratory (MIDL), Tokyo Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Department of Computer Science, School of Computing, Tokyo Institute of Technology / Middle Molecule IT-based Drug Discovery Laboratory (MIDL), Tokyo Institute of Technology","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/212164/files/IPSJ-MPS21134005.pdf","label":"IPSJ-MPS21134005.pdf"},"date":[{"dateType":"Available","dateValue":"2023-07-20"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MPS21134005.pdf","filesize":[{"value":"738.9 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":"20bb8f5b-5c96-40df-a566-e42c9f2fffec","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"井澤, 和也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"柳澤, 渓甫"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大上, 雅史"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"秋山, 泰"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kazuya, Isawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Keisuke, Yanagisawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Masahito, Ohue","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yutaka, Akiyama","creatorNameLang":"en"}],"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":"アンチセンス核酸 (ASO) 医薬品の開発では，目的の転写産物に逆相補的となるような 13-25 塩基ほどの ASO を多数設計し，高い阻害活性を持つ ASO を実験的に探索する．ASO とターゲットとなる mRNA との結合親和性を実験的に決定するには時間とコストがかかるため，高い阻害活性を持つ ASO を計算機上で予測することが求められている．本研究では，エネルギー推定に基づく ASO の阻害活性モデルを構築することを目的として，ASO と mRNA との結合エネルギー，mRNA の二重鎖の開放エネルギーなど様々なエネルギーを推定し，どのような値が ASO の阻害活性と高い相関を持つか検討した．その結果，ASO と mRNA の間の結合エネルギーが遺伝子発現の抑制率と最も相関していた (r = -0.448)．また，ASO と mRNA の結合が強くても，mRNA 上の結合部位があらかじめ強固に二次構造を形成している場合には，阻害活性が低下することが示唆された．これらの知見は，今後より優れた ASO の阻害活性の予測モデルを構築する上で有用である．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In the development of antisense oligonucleotide (ASO) drugs, a large number of ASOs that are reverse-complementary to the target transcripts are designed with 13-25 bases. The experimental determination of the binding affinity of ASOs is time-consuming and costly; thus, the computational prediction of desired ASOs is in high demand. In this study, we analyzed the relationship between the affinity of ASO and the inter- and intra-hybridization energies of ASO and/or target mRNA. As a result, the binding energy between ASO and mRNA was most correlated with the inhibition rate of gene expression (r = -0.448). Additionally, the inhibition rates tend to be low when the binding site on the target mRNA forms a strong secondary structure regardless of the highly stable complementarity between ASO and the target. These findings will be useful for building better computational prediction models in the future.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"4","bibliographic_titles":[{"bibliographic_title":"研究報告数理モデル化と問題解決（MPS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2021-07-20","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"5","bibliographicVolumeNumber":"2021-MPS-134"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":212164,"updated":"2025-01-19T17:34:56.107072+00:00","links":{},"created":"2025-01-19T01:13:10.761294+00:00"}