Morris, Melody K.Saez-Rodriguez, JulioSorger, PeterLauffenburger, Douglas A.2012-01-172010Morris, 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): 3216-3224.0006-2960http://nrs.harvard.edu/urn-3:HUL.InstRepos:7692384Computational 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.en-USgene regulatory networkstransduction networksfunctional-analysisArabidopsis-thalianaflower morphogenesisboolean modelssimulationpathwaysyeastcycleJournal Article2012-01-1710.1021/bi902202q