Compilers: principles, techniques, and tools
Compilers: principles, techniques, and tools
Stochastic simulation of coupled reaction-diffusion processes
Journal of Computational Physics
Communicating and mobile systems: the &pgr;-calculus
Communicating and mobile systems: the &pgr;-calculus
Journal of Computer and System Sciences
Information Processing Letters
Membrane Computing: An Introduction
Membrane Computing: An Introduction
The power of communication: P systems with symport/antiport
New Generation Computing
WMC-CdeA '02 Revised Papers from the International Workshop on Membrane Computing
On p systems as a modelling tool for biological systems
WMC'05 Proceedings of the 6th international conference on Membrane Computing
Structure and parameter estimation for cell systems biology models
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Translating Stochastic CLS into Maude
Electronic Notes in Theoretical Computer Science (ENTCS)
A Multiscale Modeling Framework Based on P Systems
Membrane Computing
An Approach to the Engineering of Cellular Models Based on P Systems
CiE '09 Proceedings of the 5th Conference on Computability in Europe: Mathematical Theory and Computational Practice
Psim: a computational platform for metabolic P systems
WMC'07 Proceedings of the 8th international conference on Membrane computing
A hybrid approach to modeling biological systems
WMC'07 Proceedings of the 8th international conference on Membrane computing
Membrane computing as a modeling framework: cellular systems case studies
SFM'08 Proceedings of the Formal methods for the design of computer, communication, and software systems 8th international conference on Formal methods for computational systems biology
The calculus of looping sequences
SFM'08 Proceedings of the Formal methods for the design of computer, communication, and software systems 8th international conference on Formal methods for computational systems biology
Deterministic and stochastic P systems for modelling cellular processes
Natural Computing: an international journal
P system model optimisation by means of evolutionary based search algorithms
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Evolutionary symbolic discovery for bioinformatics, systems and synthetic biology
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Modelling spatial heterogeneity and macromolecular crowding with membrane systems
CMC'10 Proceedings of the 11th international conference on Membrane computing
A modeling approach based on p systems with bounded parallelism
WMC'06 Proceedings of the 7th international conference on Membrane Computing
Towards a hybrid metabolic algorithm
WMC'06 Proceedings of the 7th international conference on Membrane Computing
Towards a p systems pseudomonas quorum sensing model
WMC'06 Proceedings of the 7th international conference on Membrane Computing
The evolution of higher-level biochemical reaction models
Genetic Programming and Evolvable Machines
Formal verification and testing based on p systems
WMC'09 Proceedings of the 10th international conference on Membrane Computing
Metabolic p system flux regulation by artificial neural networks
WMC'09 Proceedings of the 10th international conference on Membrane Computing
WMC'09 Proceedings of the 10th international conference on Membrane Computing
Natural Computing: an international journal
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In this paper we present P systems as a reliable computational modelling tool for Systems Biology that takes into account the discrete character of the quantity of components of biological systems, the inherently randomness in biological phenomena and the key role played by membranes in the functioning of living cells. We will introduce two different strategies for the evolution of P systems, namely, Multi-compartmental Gillespie’s Algorithm based on the well known Gillespie’s Algorithm but running on more than one compartment; and Deterministic Waiting Times Algorithm, an exact deterministic method. In order to illustrate these two strategies we have modelled two biological systems: the EGFR Signalling Cascade and the Quorum Sensing System in the bacterium Vibrio Fischeri. Our simulations results show that for the former system a deterministic approach is valid whereas for the latter a stochastic approach like Multi-compartmental Gillespie’s Algorithm is necessary.