TY - GEN
T1 - Simulation of FGF-2 binding with receptors on cell surface on the wall in a bioreactor system
AU - Zhang, Changjiang
AU - Shen, Wensheng
AU - Williams, Kimberly Forstern
AU - Fannon, Michael
AU - Zhang, Jun
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
KW - Blood flow
KW - Circulation
KW - Computer simulation
KW - Growth factor
KW - Protein binding
UR - https://www.scopus.com/pages/publications/62649089012
UR - https://www.scopus.com/pages/publications/62649089012#tab=citedBy
M3 - Conference contribution
AN - SCOPUS:62649089012
SN - 1601320558
SN - 9781601320551
T3 - Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008
SP - 724
EP - 727
BT - Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008
T2 - 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008
Y2 - 14 July 2008 through 17 July 2008
ER -