A photosynthetic process modelled by a metabolic P system

Manca, Vincenzo; Pagliarini, Roberto; Zorzan, Simone

doi:10.1007/s11047-008-9104-x

Cited by 17 publications

(11 citation statements)

References 32 publications

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“…It is a photosynthetic phenomenon that determines how plants accommodate to various environmental light [21]. The NPQ process dissipates excess light, which can be absorbed by the plant in some environmental situations, using non-chemical ways (emitting heat).…”

Section: Mp System Description -Case Bmentioning

confidence: 99%

Automated Metabolic P System Placement in FPGA

Kulakovskis

Navakauskas

2016

Electrical, Control and Communication Engineering

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Section: Mp System Description -Case Bmentioning

confidence: 99%

Automated Metabolic P System Placement in FPGA

Kulakovskis

Navakauskas

2016

Electrical, Control and Communication Engineering

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“…In such systems, regulators play a role that is analogous to that played by derivatives in ODE systems. Despite these analogies, MP systems proved to be advantageous in many modeling situations which ranged from the theoretical field of real function approximation [15] to the modeling of complicated biological dynamics relevant in Systems Biology [22], [21], [19], [15], [14], [20].…”

Section: Mp Chaotic Systemsmentioning

confidence: 99%

“…3). Successful modeling results comprise metabolic dynamics, gene expression networks, and population dynamics [22], [21], [19], [15], [14], [20], [13].…”

Section: Introduction To Mp Systemsmentioning

confidence: 99%

On the inference of deterministic chaos: Evolutionary algorithm and metabolic P system approaches

Marchetti

Manca

Zelinka

2014

2014 IEEE Congress on Evolutionary Computation (CEC)

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This paper shows the possibility of using Metabolic P systems (MP systems) for chaotic system identificationreconstruction and it compares presented results with previous ones obtained by evolutionary algorithms. An important potentiality of MP theory is given by its powerful computational chaos generation that can be also used as an internal module of evolutionary algorithms by increasing their ability in specific cases of their application. Reported numerical experiments are discussed at the end.

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“…This new strategy of rule application was inspired by real 'metabolic reactions', and it seems to lead multiset based computing towards interesting simulations of biological processes, such as complex oscillations [11], the mitotic cycle [3] and the non-photochemical quenching phenomenon [12]. Overall, a new way to observe the evolution rules of a system reproducing a metabolic reaction was proposed.…”

Section: Introductionmentioning

confidence: 99%

Regulation and Covering Problems in MP Systems

2010

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Summary. The study of efficient methods to deduce fluxes of biological reactions, by starting from experimental data, is necessary to understand the dynamics of a metabolic model, but it is also a central issue in systems biology. In this paper we report some partial results and related open problems regarding the efficient computation of regulation fluxes in metabolic P systems. By means of Log-gain theory the system dynamics can be linearized, in such a way to be described by a recurrence equations system, of which we point out a few algebraic properties, involving covering problems.

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A photosynthetic process modelled by a metabolic P system

Cited by 17 publications

References 32 publications

Automated Metabolic P System Placement in FPGA

Automated Metabolic P System Placement in FPGA

On the inference of deterministic chaos: Evolutionary algorithm and metabolic P system approaches

Regulation and Covering Problems in MP Systems

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