Brief. Bioinformatics - Integration of Boolean models exemplified on hepatocyte signal transduction.

Tópicos

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Resumo

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.

Resumo Limpo

number mathemat model biolog pathway rapid grow particular boolean model prove suit describ larg cellular signal network system biolog threshold holist understand comprehens network order reach goal connect integr exist model part cellular network comprehens network model necessari discuss model combin approach boolean model boolean model qualit rather quantit requir detail kinet inform show model use precursor largescal quantit model compar easi combin propos model standard boolean model prerequisit smooth model integr use standard demonstr coupl two logic model two differ exampl concern cellular interact liver first exampl show integr two boolean model two cell type order describ interact second exampl demonstr combin two model describ differ part network singl cell type combin partial model comprehens network model will take system biolog next level understand combin logic model facilit model standard valuabl exampl next step toward goal

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