Journal of Computer and System Sciences
Membrane Computing: An Introduction
Membrane Computing: An Introduction
WMC-CdeA '02 Revised Papers from the International Workshop on Membrane Computing
Applications of Membrane Computing (Natural Computing Series)
Applications of Membrane Computing (Natural Computing Series)
Discrete solutions to differential equations by metabolic P systems
Theoretical Computer Science
The metabolic algorithm for P systems: Principles and applications
Theoretical Computer Science
Discrete simulations of biochemical dynamics
DNA13'07 Proceedings of the 13th international conference on DNA computing
MP systems approaches to biochemical dynamics: biological rhythms and oscillations
WMC'06 Proceedings of the 7th international conference on Membrane Computing
P systems and the modeling of biochemical oscillations
WMC'05 Proceedings of the 6th international conference on Membrane Computing
Evolution and oscillation in p systems: applications to biological phenomena
WMC'04 Proceedings of the 5th international conference on Membrane Computing
XML representation of metabolic P systems
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Deterministic and stochastic P systems for modelling cellular processes
Natural Computing: an international journal
Data analysis pipeline from laboratory to MP models
Natural Computing: an international journal
WMC'09 Proceedings of the 10th international conference on Membrane Computing
Regulation and covering problems in MP systems
WMC'09 Proceedings of the 10th international conference on Membrane Computing
An outline of MP modeling framework
CMC'12 Proceedings of the 13th international conference on Membrane Computing
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Photosynthesis is the process used by plants, algae and some bacteria to obtain biochemical energy from sunlight. It is the most important process allowing life on earth. In this work, by applying the Log Gain theory of Metabolic P Systems, we define a mathematical model of an important photosynthetic phenomenon, called Non Photochemical Quenching (shortly NPQ), that determines the plant accommodation to the environmental light. Starting from experimental data of this phenomenon, we are able to deduce a Metabolic P system which provides, in a specific simplified case, the regulation mechanism underling the NPQ process. The dynamics of our model, generated by suitable computational tools, reproduce, with a very good approximation, the observed behaviour of the natural system.