Predicting enzyme functions based on complementarily in molecular interactions by using radial distribution functions with a self-organizing maps
| Project/Area Number |
20700263
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Bioinformatics/Life informatics
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| Research Institution | Hokkaido University |
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Principal Investigator |
UENO Keisuke Hokkaido University, 大学院・情報科学研究科, 博士研究員 (90435983)
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| Project Period (FY) |
2008 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Fiscal Year 2010: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2009: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2008: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
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| Keywords | 酵素機能予測 / 動径分布関数 / 自己組織化写像 / 分子間相互作用 |
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| Research Abstract |
We developed a method to predict enzyme functions by using radial distribution functions of active sites with a self-organizing map. The method outperformed the structural and sequence alignments with their low similarities.
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Report
(4 results)
Research Products
(6 results)
