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.
Original language | English |
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Pages (from-to) | 127-141 |
Number of pages | 15 |
Journal | Electronic Notes in Theoretical Computer Science |
Volume | 227 |
Issue number | C |
DOIs | |
Publication status | Published - Jan 4 2009 |
Keywords
- cell cycle
- membrane systems
- proteins
- stochastic
- tumor growth
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)