Logic-Based Models for the Analysis of Cell Signaling Networks
Name
Morris Biochemistry 2010.pdf
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895.94 KB
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Author(s)
Morris, Melody Kay
Saez-Rodriguez, Julio
Sorger, Peter K.
Lauffenburger, Douglas A.
Date Issued
March 2010
Journal
Biochemistry
Publisher
American Chemical Society
Citation
Morris, Melody K. et al. “Logic-Based Models for the Analysis of Cell Signaling Networks.” Biochemistry 49.15 (2010): 3216-3224.
Version
Author's final manuscript
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.
MIT Department
Massachusetts Institute of Technology. Cell Decision Process Center
Massachusetts Institute of Technology. Department of Biological Engineering
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Creative Commons Attribution-Noncommercial-Share Alike 3.0
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DOI of Published Version
https://doi.org/10.1021/bi902202q
