Development of anti-cancer drug medication scheduling method based on the systematic understanding of biochemical networks

基于生化网络系统理解的抗癌药物用药调度方法的开发

• 批准号: 24800050
• 负责人: MAEDA Kazuhiro
• 金额: $ 1.91万
• 依托单位: Kyushu Institute of Technology
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Research Activity Start-up
• 财政年份: 2012
• 资助国家: 日本
• 起止时间: 2012-08-31 至 2014-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-24800050/
• 关键词: 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

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.

通过使用昼夜节律-细胞周期模型，我们确定了正常细胞和癌细胞之间的细胞周期差异，并提出了一种有效的药物给药策略。为了建立模拟模型，需要估计动力学参数的值，以使模型与实验数据相吻合。一般来说，体外测量的参数值与体内测量的参数值不同。然而，体外测量可能是体内价值的线索。在这项研究中，我们开发了一种使用体外测量的新的参数估计方法。我们揭示并从数学上证明了长的负反馈环使振荡对动力学参数的波动具有很强的鲁棒性。

项目成果

BioFNet: biological functional network database for analysis and synthesis of biological systems

• DOI: 10.1093/bib/bbt048
• 发表时间: 2014-09-01
• 期刊: BRIEFINGS IN BIOINFORMATICS
• 影响因子: 9.5
• 作者: Kurata, Hiroyuki;Maeda, Kazuhiro;Takata, Takenori
• 通讯作者: Takata, Takenori

研究代表者の業績まとめ

首席研究员成果总结

Dynamic Modeling of Metabolic and Gene Regulatory Systems toward Developing Virtual Microbes

• DOI: 10.1252/jcej.13we152
• 发表时间: 2014-01-01
• 期刊: JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
• 影响因子: 0.8
• 作者: Kurata，Hiroyuki;Maeda，Kazuhiro;Matsuoka，Yu
• 通讯作者: Matsuoka，Yu

Multiparameter sensitivity as a robustness measure for dynamic biochemical models

多参数灵敏度作为动态生化模型的鲁棒性度量

• 发表时间: 2013
• 作者: Kazuhiro Maeda;and Hiroyuki Kurata
• 通讯作者: and Hiroyuki Kurata

Developing a dynamic model of the E. coli ammonium assimilation system

开发大肠杆菌铵同化系统的动态模型

• 发表时间: 2013
• 作者: Kazuhiro Maeda;Fred C. Boogerd;Frank J. Bruggeman;Hans V. Westerhoff;and Hiroyuki Kurata
• 通讯作者: and Hiroyuki Kurata