Computer and Systems Department, Faculty of Engineering, Zagazig University, Zagazig, Egypt.
Mathematics and Computer Science Department, Faculty of Science, Port Said University, Port Said, Egypt.
Theory Biosci. 2023 Feb;142(1):29-45. doi: 10.1007/s12064-022-00381-x. Epub 2022 Dec 12.
The bio-cell cycle is controlled by a complex biochemical network of signaling pathways. Modeling such challenging networks accurately is imperative for the understanding of their detailed dynamical behavior. In this paper, we construct, analyze, and verify a hybrid Petri net (HPN) model of a complex biochemical network that captures the role of an important protein (namely p53) in deciding the fate of the cell. We model the behavior of the cell nucleus and cytoplasm as two stochastic and continuous Petri nets, respectively, combined together into a single HPN. We use simulative model checking to verify three different properties that capture the dynamical behavior of p53 protein with respect to the intensity of the ionizing radiation (IR) to which the cell is exposed. For each IR dose, 1000 simulation runs are carried out to verify each property. Our verification results showed that the fluctuations in p53, which relies on IR intensity, are compatible with the findings of the preceding simulation studies that have previously examined the role of p53 in cell fate decision.
生物细胞周期受复杂的生化信号通路网络控制。准确地对这些具有挑战性的网络进行建模对于理解其详细的动态行为至关重要。在本文中,我们构建、分析和验证了一个复杂生化网络的混合 Petri 网 (HPN) 模型,该模型捕获了一种重要蛋白质(即 p53)在决定细胞命运中的作用。我们分别将细胞核和细胞质的行为建模为两个随机连续的 Petri 网,并将它们组合成一个单独的 HPN。我们使用仿真模型检查来验证三个不同的属性,这些属性捕获了 p53 蛋白对细胞暴露的电离辐射 (IR) 强度的动态行为。对于每个 IR 剂量,我们进行了 1000 次模拟运行来验证每个属性。我们的验证结果表明,p53 的波动取决于 IR 强度,这与先前模拟研究的结果一致,这些研究先前已经检验了 p53 在细胞命运决定中的作用。