Modelling Intracellular Fate of FGF Receptors With BioAmbients | Zendy

Steffen van Bakel | Zendy; Imran A. Khan | Zendy; Maria Grazia Vigliotti | Zendy; John K. Heath | Zendy

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Modelling Intracellular Fate of FGF Receptors With BioAmbients

Author(s) -

Steffen van Bakel,

Imran A. Khan,

Maria Grazia Vigliotti,

John K. Heath

Publication year - 2008

Publication title -

electronic notes in theoretical computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.242

H-Index - 60

ISSN - 1571-0661

DOI - 10.1016/j.entcs.2008.11.026

Subject(s) - fibroblast growth factor receptor , sorting , receptor , fibroblast growth factor , computer science , cell fate determination , distribution (mathematics) , order (exchange) , relocation , microbiology and biotechnology , biological system , biology , algorithm , mathematics , programming language , genetics , transcription factor , mathematical analysis , finance , gene , economics

In this paper we consider a model for different sorting of receptors of Fibroblast Growth Factor via the endocytotic pathway. In order to accurately model the relocation in the different compartments of the cell by the ligand-receptor complex, we use the stochastic version of Bioambients. The stochastic simulation is carried out using BAM (BioAmbient Machine), which is a Java implementation of BioAmbients via Gillespie's Algorithm. Our model and the associated results of the simulation shed light on different mechanisms that influence the spatial distribution of the different components in the pathway

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