Logic-Based Models for the Analysis of Cell Signaling Networks

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Logic-Based Models for the Analysis of Cell Signaling Networks

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Title: Logic-Based Models for the Analysis of Cell Signaling Networks
Author: Morris, Melody K.; Saez-Rodriguez, Julio; Lauffenburger, Douglas A.; Sorger, Peter Karl

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Citation: Morris, 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.
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Abstract: Computational 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.
Published Version: doi:10.1021/bi902202q
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2853906/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:7692384

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