A computational approach/model to explore NMDA receptors functions (Keller et al 2017)

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"... Here, we describe a general computational method aiming at developing kinetic Markov-chain based models of NMDARs subtypes capable of reproducing various experimental results. These models are then used to make predictions on additional (non-obvious) properties and on their role in synaptic function under various physiological and pharmacological conditions. For the purpose of this book chapter, we will focus on the method used to develop a NMDAR model that includes pharmacological site of action of different compounds. Notably, this elementary model can subsequently be included in a neuron model (not described in detail here) to explore the impact of their differential distribution on synaptic functions."
1 . Keller AF, Bouteiller JC, Berger TW (2017) Development of a Computational Approach/Model to Explore NMDA Receptors Functions. Methods Mol Biol 1677:291-306 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Synapse;
Brain Region(s)/Organism:
Cell Type(s):
Gap Junctions:
Receptor(s): NMDA;
Simulation Environment:
Model Concept(s): Ion Channel Kinetics;
Search NeuronDB for information about:  NMDA;
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