Workflow Description to Dynamically Model β-Arrestin Signaling Networks

Romain Yvinec, Mohammed Akli Ayoub, Francesco De Pascali, Pascale Crépieux, Eric Reiter, Anne Poupon

Research output: Chapter in Book/Report/Conference proceedingChapter


Dynamic models of signaling networks allow the formulation of hypotheses on the topology and kinetic rate laws characterizing a given molecular network, in-depth exploration, and confrontation with kinetic biological data. Despite its standardization, dynamic modeling of signaling networks still requires successive technical steps that need to be carefully performed. Here, we detail these steps by going through the mathematical and statistical framework. We explain how it can be applied to the understanding of β-arrestin-dependent signaling networks. We illustrate our methodology through the modeling of β-arrestin recruitment kinetics at the follicle-stimulating hormone (FSH) receptor supported by in-house bioluminescence resonance energy transfer (BRET) data.

Original languageEnglish
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Number of pages21
Publication statusPublished - 2019

Publication series

NameMethods in Molecular Biology
ISSN (Print)1064-3745
ISSN (Electronic)1940-6029


  • Biochemical reaction network
  • Data fitting
  • Dynamic models
  • Model selection
  • Parameter identification
  • β-Arrestins

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics


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