A Mathematical Model for Fibroblast Growth Factor Competition Based on Enzyme

Authors

Justin P. Peters, Iowa State UniversityFollow
Khalid Boushaba, Iowa State University
Marit Nilsen-Hamilton, Iowa State University

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