Implementing Mitogen activated protein kinases cascade on membrane computing using P-Lingua

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)178-187
Number of pages10
JournalJournal of Computer Science
Volume11
Issue number1
DOIs
Publication statusPublished - 2015

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Proteins
Membranes
Syntactics
Simulators

Keywords

  • MAPk cascade
  • MeCoSim
  • Membrane computing
  • P-lingua

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Artificial Intelligence

Cite this

Implementing Mitogen activated protein kinases cascade on membrane computing using P-Lingua. / Shaalan, Bareq; Muniyandi, Ravie Chandren.

In: Journal of Computer Science, Vol. 11, No. 1, 2015, p. 178-187.

Research output: Contribution to journalArticle

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