| Project/Area Number |
25330352
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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 | Meiji Pharmaceutical University |
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Principal Investigator |
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| Co-Investigator(Renkei-kenkyūsha) |
HIROSE Shuichi 長瀬産業株式会社 (60549898)
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| Project Period (FY) |
2013-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2015: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2013: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | 蛋白質 / 機械学習 / 生体生命情報学 / 分子認識 / 天然変性 / ディスオーダー領域 / 機能部位 / PSSM / Masking / Filtering / Smoothing |
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| Outline of Final Research Achievements |
We developed a method for identifying functional site in disordered regions of proteins by using POODLE-S, POODLE-L, PSIPRED, ESPRESSO and Pfam database. POODLE-S and PODDLE-L are methods for predicting short and long disordered regions of proteins, respectively. PSIPRED is a method for predicting protein secondary structures developed by David Jones, et al. ESPRESSO is a system for estimating protein expression and solubility in protein expression systems. Pfam database, is available at EMBL-EBI site, is a large collection of protein families, each represented by multiple sequence alignments and identified their function sites. The prediction accuracy of this method is 78% that is better than desired value (70%), but the True Positive Rate (TPR) of this method is 43% that is less than TPR of other method (57%).
The web system to implement the method has developed in our server. But the system is not available, since the prediction efficiency is not sufficient to use.
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