Modelling Intracellular Fate of FGF Receptors With BioAmbients

In this paper we consider a model of different sorting of receptors for 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 hastic version of Bioambients. The stochastic simulation is carried out using BAM (BioAmbient Abstract Machine), which is a Java implementation of BioAmbients via Gellispie'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.

• Type: Journal
• Year: 2008
• Where: ENTCS
• Authors: Steffen van Bakel, Ikra Khan, Maria Grazia Vigliotti, John K. Heath
• Keywords: BioAmbient Abstract Machine, ENTCS 2008, Fibroblast Growth Factor, Model