This model is a place-holder for the three separate models, HalfLife, Enzyme, and BriggsHaldane. It is an example of reproducible models leading to reproducible science. Run the SalicylicAcidClearance model first.

Description

This is the project file for all the figures and tables in
Raymond, GM and Bassingthwaighte JB. Reproducible salicylic acid
clearance models.

Three data sets for acid clearance have been combined
covering low, medium, and high dose ranges of aspirin.
The averaged plasma concentrations are model by three
different models, (1) HalfLife, (2) enzyme, and (3)
Briggs-Haldane Michaelis-Menten.

Various pitfalls leading to the non-reproducibility
of the models are explored.

Paraphrasing Box (1976)“All models are wrong but some are useful,”  
it is concluded, "If it is true that 'All models are wrong,' then 
models that are not reproducible are not even useful.

Use the directions under the README tab in conjunction with the
paper to reproduce all figures and tables in the publication.

Figure 7. The complete enzyme solutions. The symbols are the data; the solid lines are the fits to the data; the dashed lines are the concentrations of the SA-enzyme complex; the dotted lines are the concentrations of the free enzyme; and the dashed- dotted lines are the metabolized product. The low dose concentrations illustrate Michaelis-Menten kinetics where the substrate and the substrate-enzyme complex are in equilibrium because of under saturation of the available enzyme concentration. The mid and high dose concentrations illustrate Briggs-Haldane kinetics where the rate of change of the substrate-enzyme complex is very small because of over saturation of the available enzyme concentration.

Equations

The equations for this model may be viewed by running the JSim model applet and clicking on the Source tab at the bottom left of JSim's Run Time graphical user interface. The equations are written in JSim's Mathematical Modeling Language (MML). See the Introduction to MML and the MML Reference Manual. Additional documentation for MML can be found by using the search option at the Physiome home page.