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

Goldman, Jacki P. and Gullick, William J. and Bray, Dennis and Johnson, Colin G. (2002) Individual-based simulation of the clustering behaviour of epidermal growth factor receptors. In: Lamont, Gary, ed. Proceedings of the 2002 ACM Symposium on Applied Computing. ACM, New York, USA, pp. 127-131. ISBN 1-58113-445-2. (doi:10.1145/508791.508817) (KAR id:13817)

Abstract

This paper describes ongoing work on a project to simulate the behaviour 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. We describe the implementation of a program which simulates the stimulation and clustering behaviour of these structures, discuss how we scale up this simulation so that we can simulate a whole cell on a tractable timescale, and discuss ongoing work in which we are calibrating our simulation against results from experiments.

Item Type: Book section
DOI/Identification number: 10.1145/508791.508817
Uncontrolled keywords: computational biology, simulation, modelling, receptor biology, cancer
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:00 UTC
Last Modified: 16 Nov 2021 09:51 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/13817 (The current URI for this page, for reference purposes)

University of Kent Author Information

Goldman, Jacki P..

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Gullick, William J..

Creator's ORCID:
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Johnson, Colin G..

Creator's ORCID: https://orcid.org/0000-0002-9236-6581
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