Individual-Based Simulation of the Clustering Behaviour of Epidermal Growth Factor Receptors | Zendy

Jacki Goldman | Zendy; William J. Gullick | Zendy; Colin G. Johnson | Zendy

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Individual-Based Simulation of the Clustering Behaviour of Epidermal Growth Factor Receptors

Author(s) -

Jacki Goldman,

William J. Gullick,

Colin G. Johnson

Publication year - 2004

Publication title -

scientific programming

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.269

H-Index - 36

eISSN - 1875-919X

pISSN - 1058-9244

DOI - 10.1155/2004/323981

Subject(s) - cluster analysis , computer science , work (physics) , process (computing) , epidermal growth factor receptor , epidermal growth factor , biological system , factor (programming language) , simulation , receptor , artificial intelligence , chemistry , physics , biology , thermodynamics , biochemistry , programming language , operating system

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. The implementation of a program which simulates the stimulation and clustering behaviour of these structures is described, then the paper discusses how the simulation can be scaled up so that a whole cell can be simulated on a tractable timescale. Finally some early results are given which show the effect of changing parameters in the system, and discuss ongoing work on calibrating the simulation against results from experiments

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