Membrane systems with peripheral proteins are essentially standard membrane systems with the possibility of having multisets of objects (proteins) embedded in the membranes and with the presence of rules that control the transport and the change of configurations of these proteins. The model intends to abstract the activities of the receptors embedded in the cellular membranes. In this paper we use an extension of this paradigm to model and simulate some of the mechanisms underlying cell cycle and breast tumor growth. In particular we have defined a membrane system that abstracts the G2/M cell cycle phase transition and extends the corresponding Reactome model. The model has been then simulated by using the software Cyto-Sim and we have monitored the interplay between activators and inhibitors of the cell cycle. © 2008 Elsevier B.V. All rights reserved.
Cell Cycle and Tumor Growth in Membrane Systems with Peripheral Proteins / Mazza, T.; Cavaliere, M.. - In: ELECTRONIC NOTES IN THEORETICAL COMPUTER SCIENCE. - ISSN 1571-0661. - 227:C(2009), pp. 127-141. (Intervento presentato al convegno Second International Meeting on Membrane Computing and Biologically Inspired Process Calculi (MeCBIC 2008 tenutosi a Romania nel 2008) [10.1016/j.entcs.2008.12.108].
Cell Cycle and Tumor Growth in Membrane Systems with Peripheral Proteins
Cavaliere M.
2009
Abstract
Membrane systems with peripheral proteins are essentially standard membrane systems with the possibility of having multisets of objects (proteins) embedded in the membranes and with the presence of rules that control the transport and the change of configurations of these proteins. The model intends to abstract the activities of the receptors embedded in the cellular membranes. In this paper we use an extension of this paradigm to model and simulate some of the mechanisms underlying cell cycle and breast tumor growth. In particular we have defined a membrane system that abstracts the G2/M cell cycle phase transition and extends the corresponding Reactome model. The model has been then simulated by using the software Cyto-Sim and we have monitored the interplay between activators and inhibitors of the cell cycle. © 2008 Elsevier B.V. All rights reserved.
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