システム生物学のための統合解析シミュレータ WinBEST-KIT の開発
Abstract
Previously, I developed the biochemical reaction simulator called WinBEST-KIT (Biochemical Engineering System analyzing Tool-KIT, which runs under Microsoft Windows) for analyzing complicated biochemical reaction systems such as metabolic pathways. WinBEST-KIT provides an integrated simulation environment for experimental researchers in the field of systems biology. One of the most notable features of WinBEST-KIT is that users can very easily customize user-defined reaction step symbols in the graphical user interface. It realizes that users can use their original mathematical kinetic equations for representing unknown kinetic mechanisms as reaction steps in addition to the prepared standard (pre-installed) mathematical kinetic equations such as Michaelis-Menten equation. The problem we must be considered is, however, that the mathematical modeling for the dynamics of the large-scale biochemical reaction systems needs stochastic fluctuation for the several reaction steps. In this study, I developed a new version of WinBEST-KIT that enables users to include the stochastic fluctuation into the customized user-defined reaction step symbols. Therefore, it is possible to include simultaneously both the reaction step symbols in which involve with the stochastic fluctuation and the reaction step symbols in which involve the conventional deterministic reactions, at constructing the model of the biochemical reaction systems to be analyzed with WinBEST-KIT- システム生物学
- 代謝経路
- 生化学反応系解析シミュレータ
- 数理モデル
- 確率微分方程式モデル
- Euler-Maruyama法
- Systems biology
- Metabolic pathways
- Biochemical reaction simulator
- Mathematical model
- Stochastic fluctuation
- Euler-Maruyama method
- システム生物学
- 代謝経路
- 生化学反応系解析シミュレータ
- 数理モデル
- 確率微分方程式モデル
- Euler-Maruyama法
- Systems biology
- Metabolic pathways
- Biochemical reaction simulator
- Mathematical model
- Stochastic fluctuation
- Euler-Maruyama method