Evaluating ligand-receptor networks of TGF-β with membrane computing

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Ligand-Receptor Networks of TGF-β3 plays essential role in transmitting a wide range of extracellular signals that affect many cellular processes such as cell growth. However, the modeling of these networks with conventional approach such as ordinary differential equations has not taken into account, the spatial structure and stochastic behavior of processes involve in these networks. Membrane computing as the alternatives approach provides spatial structure for molecular computation in which processes are evaluated in a non-deterministic and maximally parallel way. This study is carried out to evaluate the membrane computing model of Ligand-Receptor Networks of TGF-β3 with model checking approach. The results show that membrane computing model has sustained the behaviors and properties of Ligand-Receptor Networks of TGF-β3. This reinforce that membrane computing is capable in analyzing processes and behaviors in hierarchical structure of cell such as Ligand-Receptor Networks of TGF-β3 better than the deterministic approach of conventional mathematical models. DOI:

Original languageEnglish
Pages (from-to)1100-1108
Number of pages9
JournalPakistan Journal of Biological Sciences
Volume14
Issue number24
DOIs
Publication statusPublished - 2011

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receptors
cell structures
chemical structure
cell growth
mathematical models
ligands

Keywords

  • Cellular processes
  • Membrane computing
  • Model checker
  • System biology

ASJC Scopus subject areas

  • Agronomy and Crop Science

Cite this

Evaluating ligand-receptor networks of TGF-β with membrane computing. / Muniyandi, Ravie Chandren; Mohd. Zin, Abdullah; Words, Key.

In: Pakistan Journal of Biological Sciences, Vol. 14, No. 24, 2011, p. 1100-1108.

Research output: Contribution to journalArticle

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