Development of anti-cancer drug medication scheduling method based on the systematic understanding of biochemical networks
| Project/Area Number |
24800050
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| Research Category |
Grant-in-Aid for Research Activity Start-up
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| Allocation Type | Single-year Grants |
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| Research Field |
Bioinformatics/Life informatics
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| Research Institution | Kyushu Institute of Technology |
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Principal Investigator |
MAEDA Kazuhiro 九州工業大学, 大学院情報工学研究院, 研究員 (50631230)
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| Project Period (FY) |
2012-08-31 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2013: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2012: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | システム生物学 / 概日リズム / 細胞周期 / シミュレーション / 最適化 / ダイナミックモデル / 国際情報交換 |
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| Research Abstract |
By using a circadian rhythm-cell cycle model, we identified differences in cell cycles between normal and cancer cells, and proposed an efficient drug administration strategy. In order to construct simulation models, the values of kinetic parameters need to be estimated so that the models fit to experimental data. Generally, the parameter values measured in vitro are different from those in vivo. However, the in vitro measurements can be clues to in vivo values. In this study, we developed a novel parameter estimation method that uses in vitro measurements. We revealed and mathematically proved that the long negative feedback loops make oscillations robust to fluctuations in kinetic parameters.
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Report
(3 results)
Research Products
(17 results)
