{"created":"2023-06-20T14:06:56.382678+00:00","id":408,"links":{},"metadata":{"_buckets":{"deposit":"6a304908-9f14-4938-82b6-745b8f6e3a48"},"_deposit":{"created_by":4,"id":"408","owners":[4],"pid":{"revision_id":0,"type":"depid","value":"408"},"status":"published"},"_oai":{"id":"oai:maebashi-it.repo.nii.ac.jp:00000408","sets":["8:35"]},"author_link":["1240","1239","1241","1242"],"item_3_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2020-03-31","bibliographicIssueDateType":"Issued"},"bibliographic_titles":[{"bibliographic_title":"前橋工科大学研究紀要"}]}]},"item_3_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Intrinsically disordered regions (IDRs) can be predicted by computer programs. In this\nwork, we pursued what factors provide basis for predicting IDRs. We conducted a random\nforest analysis to obtain degrees of con tribution of each of the amino acid residues for the\npredictions . The result s suggested that the contribut ion of proline is remarkably larger than\nother residues. Next, we analyzed the distribution of proline residues around the boundaries\nbetween IDRs and structural domains (SDs) SDs), disclosing that proline residues notably\noverrepresent in the SD sides of the boundaries. This result can contribute to develop more\naccurate prediction program s and to understand the structural nature of intrinsically\ndisordered proteins.","subitem_description_type":"Abstract"}]},"item_3_source_id_10":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11225201","subitem_source_identifier_type":"NCID"}]},"item_3_source_id_8":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1343-8867","subitem_source_identifier_type":"ISSN"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"家富, 花奈"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"安保, 勲人"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"伊藤, 駿介"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"福地, 佐斗志"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2022-03-22"}],"displaytype":"detail","filename":"23_04.pdf","filesize":[{"value":"691.4 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"23_04","url":"https://maebashi-it.repo.nii.ac.jp/record/408/files/23_04.pdf"},"version_id":"866e6702-a502-4fe8-8656-608a50a1ec0a"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"生命情報学"},{"subitem_subject":"天然変性タンパク質"},{"subitem_subject":"機械学習"},{"subitem_subject":"Bioinformatics","subitem_subject_language":"en"},{"subitem_subject":"Intrinsically Disordered Protein","subitem_subject_language":"en"},{"subitem_subject":"Machine Learning","subitem_subject_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_title":"天然変性領域予測におけるプロリンの重要性","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"天然変性領域予測におけるプロリンの重要性"},{"subitem_title":"The importance of proline residues for the prediction of intrinsically disordered regions","subitem_title_language":"en"}]},"item_type_id":"3","owner":"4","path":["35"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-03-22"},"publish_date":"2022-03-22","publish_status":"0","recid":"408","relation_version_is_last":true,"title":["天然変性領域予測におけるプロリンの重要性"],"weko_creator_id":"4","weko_shared_id":-1},"updated":"2023-06-20T14:10:21.757989+00:00"}