Modelling Intracellular Fate of FGF Receptors With BioAmbients

Authors:
S. van Bakel;I. Khan;M. G. Vigliotti;J. K. Heath
Affiliations:
Department of Computing, Imperial College, 180 Queen's Gate, London SW7 2BZ, UK;Department of Computing, Imperial College, 180 Queen's Gate, London SW7 2BZ, UK;Department of Computing, Imperial College, 180 Queen's Gate, London SW7 2BZ, UK;CRUK Growth Factor Group, School of Bioscience, University of Birmingham, Egbaston, B15 2TT UK
Venue:
Electronic Notes in Theoretical Computer Science (ENTCS)
Year:
2008

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Abstract

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.