| Budget Amount *help |
¥17,550,000 (Direct Cost: ¥13,500,000、Indirect Cost: ¥4,050,000)
Fiscal Year 2016: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2015: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Fiscal Year 2014: ¥8,580,000 (Direct Cost: ¥6,600,000、Indirect Cost: ¥1,980,000)
Fiscal Year 2013: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2012: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Outline of Final Research Achievements |
In this research, we aimed to develop several methods of three-dimensional data mining from protein molecular surfaces for discovery of knowledge about protein functions. Molecular surfaces are regarded as three-dimensional images that are expressed by point clouds or graphs. The functional sites of proteins are extracted by biclustering of matched points in the point clouds or by an optimal graph discovery. In addition, we proposed an effective method to search for related articles on protein structure analysis by considering a user's intention and developed a new method for the automatic extraction of protein-protein interaction information from scientific articles by predicting dominant keywords.
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