Bruggeman F J, Westerhoff H V
Department of Molecular Cell Physiology, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands.
J Biol Phys. 2006 Oct;32(3-4):273-88. doi: 10.1007/s10867-006-9016-x. Epub 2006 Nov 11.
Modelling and simulation are at the heart of the rapidly developing field of systems biology. This paper reviews various types of models, simulation methods, and theoretical approaches that are presently being used in the quantitative description of cellular processes. We first describe how molecular interaction networks can be represented by means of stoichiometric, topological and kinetic models. We briefly discuss the formulation of kinetic models using mesoscopic (stochastic) or macroscopic (continuous) approaches, and we go on to describe how detailed models of molecular interaction networks (silicon cells) can be constructed on the basis of experimentally determined kinetic parameters for cellular processes. We show how theory can help in analyzing models by applying control analysis to a recently published silicon cell model. Finally, we review some of the theoretical approaches available to analyse kinetic models and experimental data, respectively.
建模与模拟是快速发展的系统生物学领域的核心。本文综述了目前用于细胞过程定量描述的各种模型类型、模拟方法和理论方法。我们首先描述分子相互作用网络如何通过化学计量学、拓扑学和动力学模型来表示。我们简要讨论使用介观(随机)或宏观(连续)方法构建动力学模型的公式,并继续描述如何基于细胞过程的实验确定的动力学参数构建分子相互作用网络(硅细胞)的详细模型。我们展示了理论如何通过将控制分析应用于最近发表的硅细胞模型来帮助分析模型。最后,我们分别综述了一些可用于分析动力学模型和实验数据的理论方法。