| Project/Area Number |
15K00411
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Life / Health / Medical informatics
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| Research Institution | Nagahama Institute of Bio-Science and Technology |
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Principal Investigator |
Shionyu Masafumi 長浜バイオ大学, バイオサイエンス学部, 准教授 (30345847)
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| Co-Investigator(Kenkyū-buntansha) |
土方 敦司 長浜バイオ大学, バイオサイエンス学部, プロジェクト特任講師 (80415273)
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| Research Collaborator |
TEERASETMANAKUL Pramote
NAKATA Keisuke
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2016: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2015: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
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| Keywords | 選択的スプライシング / 機能未知タンパク質 / 機能部位予測 / 低分子化合物 / SNV / データベース / 機械学習 |
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| Outline of Final Research Achievements |
At present, many sequence data of splicing isoforms produced by alternative splicing are known. However, most of these splicing isoforms are function-unknown. In addition, it is argued whether they are functional or not. Thus, we developed a prediction method for functionality of splicing isoforms. Using our method, 70% of splicing isoforms, of which protein expression were not confirmed, were predicted to be functional, and this value is larger than one shown before. Moreover, we developed a method for predicting functional sites of splicing isoforms predicted to be functional. The method we developed showed higher accuracy for predicting small molecule-binding sites than that of our previous method. And we developed a method for predicting a small molecule ligand of a target protein that showed better performance than that of conventional one.
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