Logic-Based Models for the Analysis of Cell Signaling Networks
Morris, Melody K.
Lauffenburger, Douglas A.
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CitationMorris, Melody K., Julio Saez-Rodriguez, Peter K. Sorger, and Douglas A. Lauffenburger. 2010. Logic-based models for the analysis of cell signaling networks. Biochemistry 49(15): 3216-3224.
AbstractComputational models are increasingly used to analyze the operation of complex biochemical networks, including those involved in cell signaling networks. Here we review recent advances in applying logic-based modeling to mammalian cell biology. Logic-based models represent biomolecular networks in a simple and intuitive manner without describing the detailed biochemistry of each interaction. A brief description of several logic-based modeling methods is followed by six case studies that demonstrate biological questions recently addressed using logic-based models and point to potential advances in model formalisms and training procedures that promise to enhance the utility of logic-based methods for studying the relationship between environmental inputs and phenotypic or signaling state outputs of complex signaling networks.
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