Integration of Boolean models exemplified on hepatocyte signal transduction
Integration of Boolean models exemplified on hepatocyte signal transduction
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DOI：
10.1093/bib/bbr065
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发表时间：
2012-05-01
影响因子：
9.5
通讯作者：
Dandekar, Thomas
中科院分区：
文献类型：
--
作者：
Schlatter, Rebekka;Philippi, Nicole;Dandekar, Thomas
生物学途径的数学模型的数量正在迅速增长。特别是，布尔模型被证明适合于描述大型蜂窝信号网络。系统生物学正处于全面理解综合网络的门槛。为了实现这一目标，有必要将蜂窝网络部分的现有模型连接和集成为更全面的网络模型。讨论了布尔模型的模型组合方法。布尔建模是定性的，而不是定量的，不需要详细的动力学信息。我们表明，这些模型是大规模定量模型的有用先驱，并且它们相对容易组合。我们提出了布尔模型的建模标准，作为平滑模型集成的先决条件。使用这些标准，我们在两个不同的例子上展示了两个逻辑模型的耦合，这些例子涉及肝脏中的细胞相互作用。在第一个示例中，我们展示了两种单元格类型的两个布尔模型的集成，以描述它们的相互作用。在第二个例子中，我们展示了描述单个细胞类型的网络的不同部分的两个模型的组合。局部模型与综合网络模型的结合将把系统生物学带到一个新的理解水平。通过建模标准促进的逻辑模型的组合是实现这一目标的下一步的一个有价值的例子。
The number of mathematical models for biological pathways is rapidly growing. In particular, Boolean modelling proved to be suited to describe large cellular signalling networks. Systems biology is at the threshold to holistic understanding of comprehensive networks. In order to reach this goal, connection and integration of existing models of parts of cellular networks into more comprehensive network models is necessary. We discuss model combination approaches for Boolean models. Boolean modelling is qualitative rather than quantitative and does not require detailed kinetic information. We show that these models are useful precursors for large-scale quantitative models and that they are comparatively easy to combine. We propose modelling standards for Boolean models as a prerequisite for smooth model integration. Using these standards, we demonstrate the coupling of two logical models on two different examples concerning cellular interactions in the liver. In the first example, we show the integration of two Boolean models of two cell types in order to describe their interaction. In the second example, we demonstrate the combination of two models describing different parts of the network of a single cell type. Combination of partial models into comprehensive network models will take systems biology to the next level of understanding. The combination of logical models facilitated by modelling standards is a valuable example for the next step towards this goal.