Membrane computing as the paradigm for modeling systems biology

Research output: Contribution to journalArticle

2 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)122-127
Number of pages6
JournalJournal of Computer Science
Volume9
Issue number1
DOIs
Publication statusPublished - 2013

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Membranes
Biological systems
Computer science
Systems Biology
Cells

Keywords

  • Discrete systems
  • Membrane computing
  • Prey predator population

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Artificial Intelligence

Cite this

Membrane computing as the paradigm for modeling systems biology. / Muniyandi, Ravie Chandren; Mohd. Zin, Abdullah.

In: Journal of Computer Science, Vol. 9, No. 1, 2013, p. 122-127.

Research output: Contribution to journalArticle

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