Development of a sequence-based prediction method of interacting protein partners for drug target discovery
| Project/Area Number |
26870045
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Life / Health / Medical informatics
System genome science
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| Research Institution | National Institutes of Biomedical Innovation, Health and Nutrition (2015-2016)
Tohoku University (2014) |
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Principal Investigator |
Murakami Yoichi 国立研究開発法人医薬基盤・健康・栄養研究所, 医薬基盤研究所 創薬デザイン研究センター, プロジェクト研究員 (20548424)
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2016: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2015: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000)
Fiscal Year 2014: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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| Keywords | タンパク質間相互作用 / タンパク質機能 / 機械学習 / 創薬支援 / バイオインフォマティクス / タンパク質間相互作用予測 / アミノ酸保存度 / アミノ酸残基 / 予測 |
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| Outline of Final Research Achievements |
This study applied previously developed PSOPIA, a method for predicting an interaction between two proteins, for developing a new computational method to predict proteins that interact with a given protein. The new method was trained on a highly imbalanced and large training dataset of human protein-protein interactions and successfully achieved higher prediction performance than PSOPIA. I have also developed a fast system that can automatically make predictions of interactions between a given protein and all the proteins registered in a public database. Furthermore, I have developed a graphical user interface with the new method developed in this study for identifying drug targets and biomarkers.
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Report
(4 results)
Research Products
(14 results)
