In this report we address the challenge of using P systems to integrate at the whole cell level both active and passive transport of different ions, done by different types of membrane transport proteins which work simultaneously and concurrently.
We describe some chemotactic behaviors of bacteria, that is, their movement response to changes in the environment, and the underlying molecular mechanisms. We outline how such processes could be linked to membrane computing, by taking inspiration from them for new type of rules or new features to be introduced in P systems, as well as by...
This paper presents three new proposals to take advantage, in the framework of P systems, from proteins acting in bacteria. One attempt aims to focus on the transport protein that act as a logic AND gate at the cell membrane. The multiplicity of type of transporters involved in maintaining osmotic pressure within physiological values, both at...
We introduce dynamical probabilistic P systems, a variant where probabilities associated to the rules change during the evolution of the system, as a new approach to the analysis and simulation of the behavior of complex systems. We define the notions for the analysis of the dynamics and we show some applications for the investigation of...
In P systems with gemmation of mobile membranes were ex- amined. It was shown that (extended) systems with eight membranes are as powerful as the Turing machines. Moreover, it was also proved that extended gemmating P systems with only pre-dynamical rules are still computationally complete: in this case nine membranes are needed to obtain this...
We prove that P systems with mate and drip operations and using at most five membranes during any step of a computation are universal. This improves a recent similar result from, where eleven membranes are used. The proof of this result has the "drawback" that the output of a computation is obtained on an inner membrane of the system. A...
Different stochastic strategies for modeling biological systems with P systems are reviewed in this paper, such as the multi-compartmental approach and dynamical probabilistic P systems. The respective results obtained from the simulations of a test case study (the quorum sensing phenomena in Vibrio Fischeri colonies) are shown, compared and discussed.
We are considering molecular dynamics and (sequential) membrane systems from the viewpoint of Markov chain theory. The first step is to understand the structure of the configuration space, with respect to communicating classes. Instead of a reachability analysis by traditional methods, we use the explicit monoidal structure of this space...