Simulation of FGF-2 binding with receptors on cell surface on the wall in a bioreactor system

Changjiang Zhang, Wensheng Shen, Kimberly Forstern Williams, Michael Fannon, Jun Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a convection-diffusion-reaction model to simulate fibroblast growth factor (FGF-2) binding on cell surface molecules of receptors and heparin sulfate proteoglycan (HSPG) and mitogen-activated protein (MAP) kinase signaling under flow condition. It includes three parts: the flow of media using incompressible Navier-Stokes equation, the transport of FGF-2 using a convection-diffusion transport equation, and the local binding and signaling by chemical kinetics. It consists of a set of coupled nonlinear partial differential equations (PDEs) and a set of coupled nonlinear ordinary differential equations (ODEs). To solve these PDEs, the second order implicit Euler method with finite volume discretization is used. The ODE system is stiff and is solved by an ODE solver VODE using backward differencing formulation (BDF). The spatial distribution of FGF-2, FGFR, HSPG and their complexes are obtained. Our simulation results may provide insight into the understanding of regulation of heparin-binding gowth factors in circulation.

Original languageEnglish
Title of host publicationProceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008
Pages724-727
Number of pages4
StatePublished - 2008
Event2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008 - Las Vegas, NV, United States
Duration: Jul 14 2008Jul 17 2008

Publication series

NameProceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008

Conference

Conference2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008
Country/TerritoryUnited States
CityLas Vegas, NV
Period7/14/087/17/08

Keywords

  • Blood flow
  • Circulation
  • Computer simulation
  • Growth factor
  • Protein binding

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Biomedical Engineering
  • Health Informatics

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