Handbook of Formal Languages
Membrane Computing: An Introduction
Membrane Computing: An Introduction
Proceedings of the 5th international conference on Membrane Computing
WMC'04 Proceedings of the 5th international conference on Membrane Computing
Discrete solutions to differential equations by metabolic P systems
Theoretical Computer Science
The metabolic algorithm for P systems: Principles and applications
Theoretical Computer Science
XML representation of metabolic P systems
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Psim: a computational platform for metabolic P systems
WMC'07 Proceedings of the 8th international conference on Membrane computing
MP systems approaches to biochemical dynamics: biological rhythms and oscillations
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
Encoding-Decoding transitional systems for classes of p systems
WMC'05 Proceedings of the 6th international conference on Membrane Computing
P systems and the modeling of biochemical oscillations
WMC'05 Proceedings of the 6th international conference on Membrane Computing
WMC'09 Proceedings of the 10th international conference on Membrane Computing
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Membrane systems are gaining a prominent role in the modeling of biochemical processes and cellular dynamics. We associate specific reactivity values to the production rules in a way to be able to tune their rewriting activity, according to the kinetic and state-dependent parameters of the physical system. We come up with an algorithm that exhibits a good degree of versatility, meanwhile it gives an answer to the problem of representing oscillatory biological and biochemical phenomena, so far mostly treated with differential mathematical tools, by means of symbolic rewriting. Results from simulations of the Lotka-Volterra's predator-prey population dynamics envision application of this algorithm in biochemical dynamics of interest.