چکیده (انگلیسی):

The Mitogen Activated Protein Kinases (MAPK) cascade
has been used as a case study for different computational software
tools in both modelling and simulation of real-life problems. This study
focuses on the development of new techniques for solving a MAPK
cascade by using membrane computing. Membrane computing is an
unconventional computational approach that provides a platform for
modelling discrete system. This approach deals with parallel,
distributed and non-deterministic computing models. P-Lingua is used
to specify and analyze a wide range of quantitative properties and to
offer a general syntactic framework that could be a formal standard for
membrane computing. The model is simulated by using MeCoSim, a
membrane computing simulator used to verify and validate the model.
This study aimed to compare the use of the membrane computing
approach for modelling the MAPK cascade with other models. The
MAPK cascade, which is specified in P Lingua evaluated based on the
simulation with MeCoSim. In general, we can say that the membrane
computing model is better than previous models because it takes into
account the changes that occur in the cell and because the problem is
mainly a problem in the cells; therefore the model achieves the best
results and reliability.