The combination of ultrasensitivity and negative feedback bring sustained oscillations in the mitogen-activated protein kinase cascades.
This model is described in the article:
Abstract:
Functional organization of signal transduction into protein phosphorylation cascades, such as the mitogen-activated protein kinase (MAPK) cascades, greatly enhances the sensitivity of cellular targets to external stimuli. The sensitivity increases multiplicatively with the number of cascade levels, so that a tiny change in a stimulus results in a large change in the response, the phenomenon referred to as ultrasensitivity. In a variety of cell types, the MAPK cascades are imbedded in long feedback loops, positive or negative, depending on whether the terminal kinase stimulates or inhibits the activation of the initial level. Here we demonstrate that a negative feedback loop combined with intrinsic ultrasensitivity of the MAPK cascade can bring about sustained oscillations in MAPK phosphorylation. Based on recent kinetic data on the MAPK cascades, we predict that the period of oscillations can range from minutes to hours. The phosphorylation level can vary between the base level and almost 100% of the total protein. The oscillations of the phosphorylation cascades and slow protein diffusion in the cytoplasm can lead to intracellular waves of phospho-proteins.
This model is hosted on BioModels Database and identified by: BIOMD0000000010 .
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models .
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.
Max Y
And translate the model using SBMLtoOdin::importSBMLfromBioModels(BioModel_ID, file_name)
Project idea and SBMLtoOdin: Leonie Lorenz and John Lees,
Development of Menelmacar website: Antoine Andréoletti,
Web design: Andrea Epifani, Zeqing Lu (Gomoku Studio)
Models are sourced from EMBL-EBI's
BioModels