Add to ORKGAlthough born as unconventional models of computation, P systems can be conveniently adopted as modeling frameworks for biological systems simulations. This choice brings with it the advantage of producing easier to be devised and understood models than with other formalisms. Nevertheless, the employment of P systems for modeling purposes demands biologically meaningful evolution strategies as well as complete computational tools to run simulations on. In previous papers a strategy of evolution known as the metabolic algorithm has been presented; here a simulation tool called Psim (current version 2.4) is discussed and a case study of its application is also given
The potential of systems-based approaches are increasingly being realised in drug discovery, metabol...
Random mutagenesis and selection approaches used traditionally for the development of industrial str...
This paper presents two approaches based on metabolic and stochastic P systems, together with their...
A simulator is presented for metabolic dynamics having flexibility, robustness, and computational ef...
AbstractMetabolic P systems, shortly MP systems, are a special class of P systems, introduced for ex...
A recent methodology to model biochemical systems is here presented. It is based on a conceptual fra...
P systems have clear structural analogies with the cell. However, certain difficulties arise when on...
Metabolic P systems are a special class of P systems developed to model dynamics of biological pheno...
An introduction to MP systems and to their applications in the modeling of biological dynamics is gi...
Some computational aspects and behavioral patterns of P systems are considered, emphasizing dynamica...
P metabolic systems are a special class of P systems which seem to be adequate for expressing biolo...
Background: The metabolic architectures of extant organisms share many key pathways such as the citr...
Metabolic P systems (MP systems), based on Paun’s P systems, were introducedfor modelling metabolic ...
P systems are used to compute predator-prey dynamics expressed in the traditional formulation by Lot...
Background: The metabolic architectures of extant organisms share many key pathways such as the citr...
The potential of systems-based approaches are increasingly being realised in drug discovery, metabol...
Random mutagenesis and selection approaches used traditionally for the development of industrial str...
This paper presents two approaches based on metabolic and stochastic P systems, together with their...
A simulator is presented for metabolic dynamics having flexibility, robustness, and computational ef...
AbstractMetabolic P systems, shortly MP systems, are a special class of P systems, introduced for ex...
A recent methodology to model biochemical systems is here presented. It is based on a conceptual fra...
P systems have clear structural analogies with the cell. However, certain difficulties arise when on...
Metabolic P systems are a special class of P systems developed to model dynamics of biological pheno...
An introduction to MP systems and to their applications in the modeling of biological dynamics is gi...
Some computational aspects and behavioral patterns of P systems are considered, emphasizing dynamica...
P metabolic systems are a special class of P systems which seem to be adequate for expressing biolo...
Background: The metabolic architectures of extant organisms share many key pathways such as the citr...
Metabolic P systems (MP systems), based on Paun’s P systems, were introducedfor modelling metabolic ...
P systems are used to compute predator-prey dynamics expressed in the traditional formulation by Lot...
Background: The metabolic architectures of extant organisms share many key pathways such as the citr...
The potential of systems-based approaches are increasingly being realised in drug discovery, metabol...
Random mutagenesis and selection approaches used traditionally for the development of industrial str...
This paper presents two approaches based on metabolic and stochastic P systems, together with their...