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天然変性領域予測におけるプロリンの重要性
https://maebashi-it.repo.nii.ac.jp/records/408
https://maebashi-it.repo.nii.ac.jp/records/408a8ff0e3b-2841-4050-8484-6a127e2d12e7
名前 / ファイル | ライセンス | アクション |
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23_04 (691.4 kB)
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Item type | 紀要論文 / Departmental Bulletin Paper_02(1) | |||||
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公開日 | 2022-03-22 | |||||
タイトル | ||||||
タイトル | 天然変性領域予測におけるプロリンの重要性 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | The importance of proline residues for the prediction of intrinsically disordered regions | |||||
言語 | ||||||
言語 | jpn | |||||
キーワード | ||||||
主題 | 生命情報学 | |||||
キーワード | ||||||
主題 | 天然変性タンパク質 | |||||
キーワード | ||||||
主題 | 機械学習 | |||||
キーワード | ||||||
言語 | en | |||||
主題 | Bioinformatics | |||||
キーワード | ||||||
言語 | en | |||||
主題 | Intrinsically Disordered Protein | |||||
キーワード | ||||||
言語 | en | |||||
主題 | Machine Learning | |||||
著者 |
家富, 花奈
× 家富, 花奈× 安保, 勲人× 伊藤, 駿介× 福地, 佐斗志 |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Intrinsically disordered regions (IDRs) can be predicted by computer programs. In this work, we pursued what factors provide basis for predicting IDRs. We conducted a random forest analysis to obtain degrees of con tribution of each of the amino acid residues for the predictions . The result s suggested that the contribut ion of proline is remarkably larger than other residues. Next, we analyzed the distribution of proline residues around the boundaries between IDRs and structural domains (SDs) SDs), disclosing that proline residues notably overrepresent in the SD sides of the boundaries. This result can contribute to develop more accurate prediction program s and to understand the structural nature of intrinsically disordered proteins. |
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書誌情報 |
前橋工科大学研究紀要 発行日 2020-03-31 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1343-8867 | |||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA11225201 |