2017 Fiscal Year Final Research Report
Development of a method for predicting functional sites in function-unknown splicing isoforms
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 |
Section | 一般 |
Research Field |
Life / Health / Medical informatics
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Research Institution | Nagahama Institute of Bio-Science and Technology |
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)
|
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)
|
Research Collaborator |
TEERASETMANAKUL Pramote
NAKATA Keisuke
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Project Period (FY) |
2015-04-01 – 2018-03-31
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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 |
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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Free Research Field |
情報生物学
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