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dc.contributor.advisor Nakhleh, Luay K.
dc.creatorBerestovsky, Natalia Sergeevna
dc.date.accessioned 2012-07-03T22:49:10Z
dc.date.available 2012-07-03T22:49:10Z
dc.date.created 2011-04
dc.date.issued 2011
dc.identifier.citation Berestovsky, Natalia Sergeevna. "On the Modeling of Signaling Networks with Petri Nets." (2011) Master’s Thesis, Rice University. https://hdl.handle.net/1911/64384.
dc.identifier.urihttps://hdl.handle.net/1911/64384
dc.description.abstract The whole-cell behavior arises from the interplay among signaling, metabolic, and regulatory processes. Proper modeling of the overall function requires accurate interpretations of each component. The highly concurrent nature of the inner-cell interactions motivates the use of Petri nets as a framework for the whole-cell modeling. Petri nets have been successfully used in modeling of metabolic pathways, as it allows for a straightforward mapping from its stoichiometric matrix to the Petri net structure. The Boolean interpretation and modeling of transcription regulation networks also lends itself easily to Petri net modeling. However, Petri net modeling of signal transduction networks has been largely lacking, with the exception of simple ad hoc applications to specific signaling pathways. In this thesis, I investigate the applicability of Petri nets to modeling of signaling networks, by systematically analyzing initial token assignments, firing strategies, and robustness to errors and abstractions in the estimates of molecule concentrations and reaction rates.
dc.format.extent 102 pp
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subjectComputer science
dc.title On the Modeling of Signaling Networks with Petri Nets
dc.identifier.digital BerestovskyN
dc.type.genre Thesis
dc.type.material Text
thesis.degree.department Computer Science
thesis.degree.discipline Engineering
thesis.degree.grantor Rice University
thesis.degree.level Masters
thesis.degree.name Master of Science


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