Computational and Mathematical Modelling of the EGF Receptor System

Johnson, Colin G. and McIntyre, Emmet and Gullick, William J. (2008) Computational and Mathematical Modelling of the EGF Receptor System. In: Hayley, J.D. and Gullick, William J., eds. EGFR Signaling Networks in Cancer Therapy. Cancer Drug Discovery & Development . Humana Press, USA, pp. 209-220. ISBN 978-1-58829-948-2. (doi:10.1007/978-1-59745-356-1_15) (KAR id:7272)

PDF (Computational and Mathematical Modelling) Language: English
Click to download this file (156kB) Preview	Preview
This file may not be suitable for users of assistive technology. Request an accessible format
Official URL: https://doi.org/10.1007/978-1-59745-356-1_15

Abstract

This chapter gives an overview of computational and mathematical modelling of the EGF receptor system. It begins with a survey of motivations for producing such models, then describes the main approaches that are taken to carrying out such modelling, viz. differential equations and individual-based modelling. Finally, a number of projects that applying modelling and simulation techniques to various aspects of the EGF receptor system are described.

Item Type:	Book section
DOI/Identification number:	10.1007/978-1-59745-356-1_15
Uncontrolled keywords:	EGF receptor; computational models; mathematical models
Subjects:	Q Science R Medicine > RC Internal medicine > RC254 Neoplasms. Tumors. Oncology
Divisions:	Divisions > Division of Natural Sciences > Biosciences
Depositing User:	William Gullick
Date Deposited:	25 Sep 2009 14:50 UTC
Last Modified:	09 Mar 2023 11:29 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/7272 (The current URI for this page, for reference purposes)
Johnson, Colin G.:	https://orcid.org/0000-0002-9236-6581

Depositors only (login required):

Altmetric

Download Statistics

Total unique views for this document in KAR since July 2020. For more details click on the image.