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Individual-based simulation of the clustering behaviour of epidermal growth factor receptors

Goldman, Jacki P., Gullick, William J., Johnson, Colin G. (2004) Individual-based simulation of the clustering behaviour of epidermal growth factor receptors. Scientific Programming, 12 (1). pp. 25-43. ISSN 1058-9244. (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:14212)

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Abstract

The paper describes ongoing work on a project to simulate the behavior of epidermal growth factor receptors. These are structures which can be found on the surface of cells in the body, which receive and process chemical signals concerned with cell growth. The implementation of a program which simulates the stimulation and clustering behavior of these structures is described, then the paper discusses how the simualtion can be scaled up so that a whole cell can be simulated on a tractable timescale. Finaly some early results are given which show the effect of changing parameters in the system, and discuss ongoning work on calibrating the simulation against results from experiments.

Item Type: Article
Uncontrolled keywords: biological simulation; signal transduction; computational biology; growth factors; object-oriented modelling
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Natural Sciences > School of Biosciences
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:02 UTC
Last Modified: 16 Feb 2021 12:25 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/14212 (The current URI for this page, for reference purposes)
Johnson, Colin G.: https://orcid.org/0000-0002-9236-6581
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