Current research on systems and synthetic biology relies heavily on mathematical models of the systems under study. The usefulness of such models depends on the quantity and quality of biological data, and on the availability of appropriate modelling formalisms that can gather and accommodate such data so that they can be exploited properly. Given our incomplete knowledge of biological systems and the fact that they consist of many subsystems, biological data are usually uncertain and heterogeneous. These facts hinder the use of mathematical models and computational methods. In the scope of dynamic biological systems, e.g. metabolic networks, this difficulty can be overcome by the novel modelling formalism of flexible nets (FNs). We show that an FN can combine, in a natural way, a stoichiometric model and a kinetic model. Moreover, the resulting net admits nonlinear dynamics and can be analysed in both transient and steady states.

中文翻译：

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用于整合化学计量模型和动力学模型的统一建模形式

当前对系统和合成生物学的研究在很大程度上依赖于所研究系统的数学模型。此类模型的有用性取决于生物数据的数量和质量，以及可以收集和容纳此类数据以便正确利用它们的适当建模形式的可用性。鉴于我们对生物系统的了解不完整，并且它们由许多子系统组成，因此生物数据通常是不确定的和异构的。这些事实阻碍了数学模型和计算方法的使用。在动态生物系统的范围内，例如代谢网络，可以通过灵活网络 (FN) 的新型建模形式来克服这一困难。我们表明 FN 可以以自然的方式结合化学计量模型和动力学模型。而且，