Model Status

This CellML model still contains the reaction element. We have been unable to recode this model to remove the reaction element because the published paper does not sufficient data to build a complete quantitative model. In particular, there are several undefined parameters which require either an initial value or a defining equation.

Model Structure

Mammalian cells respond and adapt to chemical and physical perturbations in their physiological environment. Principally, this occurs through the binding of extracellular molecules to receptors in the cell surface membrane which then initiates a signal transduction pathway.

This is a CellML description of a mathematical model of the PLC pathway published by Jason Haugh, Alan Wells and Douglas Lauffenburger (2000). Their model relates the flux through the PLC pathway to the level of autophosphorylated, and therefore activated, EGFR (see the figure below).

The complete original paper reference is cited below:

Mathematical Modeling of Epidermal Growth Factor Receptor Signaling Through the Phospholipase C Pathway: Mechanistic Insights and Predictions for Molecular Interventions, Jason M. Haugh, Alan Wells, Douglas A. Lauffenburger, 2000, Biotechnology and Bioengineering , 70, 225-238. (The PDF of the article is available on the Wiley Interscience website.) PubMed ID: 10972934

A rendering of the PLC pathway. Metabolites and catalysts are represented by rounded rectangles, and reactions by arrows. The action of a catalyst on a reaction is represented by dashed lines. The asterisks next to the enzymes indicate that their action is influenced by EGF receptor activity.

• haugh_wells_lauffenburger_2000_version01.cellml