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readme.txt
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This is the readme for the model associated with the book chapter:
Development of a Computational Approach/Model to Explore NMDA Receptors Functions (2017)
These files model the response of an NMDA receptor kinetic model to a 1ms pulse of glutamate (8 microM) as a function of magnesium concentration.
Content of the zip file: 3 files including this readme.
One file is the NMDA model (XML file).
The other is a python script used to run the simulation and plot the results. The results plotted correspond to figure 3 of the paper.
Requirements: Libroadrunner (free open source simulation engine), Python, Numpy and MatplotLib.
To run:
In a terminal, type: python KELLER_Book_Chapter_figure3_NMDA_fct_Mg.py
Result corresponding to Fig. 3 of the book chapter will appear in the folder
after successful run (name: NMDA-R Current (pA)_all_Mg_concentrations.pdf)
For additional details, email jbouteil_at_usc.edu
20180316 A new python script was provided by Jean-Marie C. Bouteiller. The axis are displayed
correctly and it works with the latest version of matplotlib and libroadrunner (1.4.24).