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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."
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Keller AF, Bouteiller JC, Berger TW (2017) Show
Other
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tom.morse@yale.edu
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https://link.springer.com/protocol/10.1007/978-1-4939-7321-7_17
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