Coupling vs decoupling approaches for PDE/ODE systems modeling intercellular signaling

• Verfasst von: Carraro, Thomas [VerfasserIn]
• Verfasst von: Friedmann, Elfriede [VerfasserIn]
• Verfasst von: Gerecht, Daniel [VerfasserIn]
• Titel: Coupling vs decoupling approaches for PDE/ODE systems modeling intercellular signaling
• Verf.angabe: Thomas Carraro, Elfriede Friedmann, Daniel Gerecht
• Umfang: 16 S.
• Fussnoten: Gesehen am 30.08.2017
• Titel Quelle: Enthalten in: Journal of computational physics
• Jahr Quelle: 2016
• Band/Heft Quelle: 314(2016), S. 522-537
• ISSN Quelle: 1090-2716
• DOI: doi:10.1016/j.jcp.2016.03.020
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1562893181

Abstract

We consider PDE/ODE systems for the simulation of intercellular signaling in multicellular environments. The intracellular processes for each cell described here by ODEs determine the long-time dynamics, but the PDE part dominates the solving effort. Thus, it is not clear if commonly used decoupling methods can outperform a coupling approach. Based on a sensitivity analysis, we present a systematic comparison between coupling and decoupling approaches for this class of problems and show numerical results. For biologically relevant configurations of the model, our quantitative study shows that a coupling approach performs much better than a decoupling one.