De Maria C, Grassini D, Vozzi F, Vinci B, Landi A, Ahluwalia A, Vozzi G
Interdepartmental Research Center "E. Piaggio", Faculty of Engineering, University of Pisa, Via Diotisalvi 2, 56126 Pisa, Italy.
Comput Methods Programs Biomed. 2008 Oct;92(1):121-34. doi: 10.1016/j.cmpb.2008.06.004. Epub 2008 Jul 21.
Many computer studies and models have been developed in order to simulate cell biochemical pathways. The difficulty of integrating all the biochemical reactions that occur in a cell in a single model is the main reason for the poor results in the prediction and simulation of cell behaviour under different chemical and physical stimuli. In this paper we have translated biochemical reactions into differential equations for the development of modular model of metabolism of a hepatocyte cultured in static and standard conditions (in a plastic multiwell placed in an incubator at 37 degrees C with 5% of CO(2)). Using biochemical equations and energetic considerations a set of non-linear differential equations has been derived and implemented in Simulink. This set of equations mimics some of the principal metabolic pathways of biomolecules present in the culture medium. The software platform developed is subdivided into separate modules, each one describing a different metabolic pathway; they constitute a library which can be used for developing new modules and models to project, predict and validate cell behaviour in vitro.
为了模拟细胞生化途径，人们已经开展了许多计算机研究并建立了多种模型。在单个模型中整合细胞内发生的所有生化反应存在困难，这是在不同化学和物理刺激下对细胞行为进行预测和模拟时结果不佳的主要原因。在本文中，我们已将生化反应转化为微分方程，用于构建在静态和标准条件下（置于37摄氏度、含5%二氧化碳的培养箱中的塑料多孔板内）培养的肝细胞代谢模块化模型。利用生化方程和能量考量，我们推导出了一组非线性微分方程，并在Simulink中实现。这组方程模拟了培养基中存在的一些主要生物分子代谢途径。所开发的软件平台被细分为单独的模块，每个模块描述不同的代谢途径；它们构成了一个库，可用于开发新的模块和模型，以规划、预测和验证体外细胞行为。
