Logic-based models for the analysis of cell signaling networks.

TitleLogic-based models for the analysis of cell signaling networks.
Publication TypeJournal Article
Year of Publication2010
AuthorsMorris, MK, Saez-Rodriguez, J, Sorger, PK, Lauffenburger, DA
Date Published2010 Apr 20
KeywordsBiochemistry, Cell Physiological Phenomena, Computers, Molecular, Fuzzy Logic, Kinetics, Logic, Models, Biological, Molecular Biology, Proteins, Signal Transduction

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.

Alternate JournalBiochemistry
PubMed ID20225868
PubMed Central IDPMC2853906
Grant ListP50 GM068762-07 / GM / NIGMS NIH HHS / United States
P50-GM68762 / GM / NIGMS NIH HHS / United States
U54-CA112967 / CA / NCI NIH HHS / United States