Abstract
Membrane computing is a field in computer science that is inspired from the structure and the processes of living cells and is being considered as an alternative in solving the limitations in conventional mathematical approaches by taking into consideration its essential features that are of interest for research in systems biology. Advancements in computability make it feasible to handle huge volumes of data in biology and propose a new and better approach using a discreet computer science model, such as membrane computing. In this respect, membrane-computing abilities, to enhance the understanding of the system level of biological systems, have been explored. This study discusses experiences in applying membrane computing in modeling biological systems as well as possibilities of incorporating membrane computing into other computer science paradigms to enhance the use of membrane computing in systems biology. Experiences in modeling aspects of systems biology with membrane computing demonstrate additional advantages and possibilities compared with conventional methods. However, they are not yet used widely to model or simulate biological processes or systems. A general framework of modeling and verifying biological systems using membrane computing is essential as a guideline for biologists in their research in systems biology.
Highlights
Membrane computing or P Systems (Paun et al, 2010) is a branch of computer science that conceptualizes ideas and models of computation based on the structure and the processes of living cells
Membrane computing, which is inspired by biology, is not yet used widely to model or simulate biological processes or systems, it has advantages in mimicking those found in real natural systems
The categorization of biological elements that can be modeled in membrane computing shows that membrane computing is capable of abstracting biological structures and behaviors and representing them in a formal way without disregarding its biological characteristics
Summary
Membrane computing or P Systems (Paun et al, 2010) is a branch of computer science that conceptualizes ideas and models of computation based on the structure and the processes of living cells. It draws inspiration from the manner cells are organized in complex biological structures. The finite inside is delimited by the membrane and the infinite outside is linked to the environment. This concept provides the opportunity for a selective communication with distributed and parallel processing, in which multisets between the two regions in the biological systems
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