A Mathematical Model for Fibroblast Growth Factor Competition Based on Enzyme

A Mathematical Model for Fibroblast Growth Factor Competition Based on Enzyme

In this paper, we develop a mathematical model for the competitionof two species of fibroblast growth factor, FGF-1 and FGF-2, for thesame cell surface receptor. We provide pathways for thisinteraction using experimental data obtained by Neufeld andGospodarowicz reported in 1986 [9]. These pathways...

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Bibliographic Details
Main Authors: Justin P. Peters, Khalid Boushaba, Marit Nilsen-Hamilton
Format: Article
Language:English
Published: AIMS Press 2005-09-01
Series:Mathematical Biosciences and Engineering
Subjects:
growth factors
mathematical model
biological data
optimization.
enzyme kinetics
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2005.2.789
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Summary:In this paper, we develop a mathematical model for the competitionof two species of fibroblast growth factor, FGF-1 and FGF-2, for thesame cell surface receptor. We provide pathways for thisinteraction using experimental data obtained by Neufeld andGospodarowicz reported in 1986 [9]. These pathwaysdemonstrate how the interaction of two fibroblast growth factorsaffects cell proliferation. Upon development of these pathways, weuse simulations in MATLAB and optimization to extrapolate the valuesof a variety of biochemical parameters imbedded within the model.Furthermore, it should be possible to use the model as the basis fora testable hypothesis. We explore this predictive ability withfurther simulations in MATLAB.
ISSN:1551-0018

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