Faculty Publications
A Mathematical Model for Fibroblast Growth Factor Competition Based on Enzyme
Document Type
Article
Keywords
Growth factors, mathematical model, biological data, optimization, enzyme kinetics
Journal/Book/Conference Title
Mathematical Biosciences and Engineering
Volume
2
Issue
4
First Page
789
Last Page
810
Abstract
In this paper, we develop a mathematical model for the competition of two species of fibroblast growth factor, FGF-1 and FGF-2, for the same cell surface receptor. We provide pathways for this interaction using experimental data obtained by Neufeld and Gospodarowicz reported in 1986 [9]. These pathways demonstrate how the interaction of two fibroblast growth factors affects cell proliferation. Upon development of these pathways, we use simulations in MATLAB and optimization to extrapolate the values of a variety of biochemical parameters imbedded within the model. Furthermore, it should be possible to use the model as the basis for a testable hypothesis. We explore this predictive ability with further simulations in MATLAB.
Department
Department of Chemistry and Biochemistry
Original Publication Date
1-1-2005
DOI of published version
10.3934/mbe.2005.2.789
Recommended Citation
Peters, Justin P.; Boushaba, Khalid; and Nilsen-Hamilton, Marit, "A Mathematical Model for Fibroblast Growth Factor Competition Based on Enzyme" (2005). Faculty Publications. 6242.
https://scholarworks.uni.edu/facpub/6242