The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Logic-Based Models for the Analysis of Cell Signaling Networks
Open accessAbstract
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.
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Cites
Physicochemical modelling of cell signalling pathways
Aldridge, B. B., Burke, J. M., Lauffenburger, D. A., & Sorger, P. K. (2006) · Nature Cell Biology · doi:10.1038/ncb1497 · Cited by 592
Self-citationA Logical Model Provides Insights into T Cell Receptor Signaling
Saez-Rodriguez, J., Simeoni, L., Lindquist, J. A., Hemenway, R., Bommhardt, U., Arndt, B., Haus, U.-U., Weismantel, R., Gilles, E. D., Klamt, S., et al. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030163 · Cited by 352
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Modeling formalisms in Systems Biology
Machado, D., Costa, R. S., Rocha, M., Ferreira, E. C., Tidor, B., & Rocha, I. (2011) · AMB Express · doi:10.1186/2191-0855-1-45 · Cited by 189
A Six‐Stage Workflow for Robust Application of Systems Pharmacology
Gadkar, K., Kirouac, D., Mager, D., van der Graaf, P., & Ramanujan, S. (2016) · CPT: Pharmacometrics & Systems Pharmacology · doi:10.1002/psp4.12071 · Cited by 93
Predictive mathematical models of cancer signalling pathways
Bachmann, J., Raue, A., Schilling, M., Becker, V., Timmer, J., & Klingmüller, U. (2012) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2011.02492.x · Cited by 63
Convergence in parameters and predictions using computational experimental design
Hagen, D. R., White, J. K., & Tidor, B. (2013) · Interface Focus · doi:10.1098/rsfs.2013.0008 · Cited by 41
Metadata
- Authors
- Morris, M. K., Saez-Rodriguez, J., Sorger, P. K., & Lauffenburger, D. A.
- Venue
- Biochemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-03-25
- Volume
- 49
- Issue
- 15
- Pages
- 3216-3224
- ISSN
- 0006-2960 (ISSN-L)
- 1520-4995
- OpenAlex
- W2104039751
- Cited by
- 332
- References
- 2
- FWCI
- 11.81
- Type
- journal article
- Language
- en
- Open access
- hybrid
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