Logic-Based Models for the Analysis of Cell Signaling Networks
| Title: | Logic-Based Models for the Analysis of Cell Signaling Networks |
| Author: |
Morris, Melody K.; Saez-Rodriguez, Julio; Lauffenburger, Douglas A.; Sorger, Peter Karl
Note: Order does not necessarily reflect citation order of authors. |
| 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. |
| Full Text & Related Files: |
2853906.pdf (3.098Mb; PDF) 
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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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