PMID- 28986881
OWN - NLM
STAT- MEDLINE
DCOM- 20180611
LR  - 20180821
IS  - 1940-6029 (Electronic)
IS  - 1064-3745 (Linking)
VI  - 1677
DP  - 2017
TI  - Development of a Computational Approach/Model to Explore NMDA Receptors 
      Functions.
PG  - 291-306
LID - 10.1007/978-1-4939-7321-7_17 [doi]
AB  - Modern laboratory techniques allow studying NMDA receptors (NMDAR) either 
      anatomically with specific antibodies coupled to sophisticated confocal 
      microscopy, or physiologically by live imaging or electrophysiological 
      techniques. However, NMDARs are not fixed in time and space and changes in their 
      composition and/or distribution on the post-synaptic membrane may significantly 
      impact the synaptic strength and overall function. The computational modeling 
      approach therefore constitutes a complementary tool for investigating the 
      properties of biological systems based on the knowledge provided by the lab 
      experiments.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.
FAU - Keller, A Florence
AU  - Keller AF
AD  - , Mulhouse, France.
FAU - Bouteiller, Jean-Marie C
AU  - Bouteiller JC
AD  - Department of Biomedical Engineering, Center for Neural Engineering, University 
      of Southern California, HNB 412 University Park Campus, Los Angeles, CA, 90089, 
      USA. jbouteil@usc.edu.
FAU - Berger, Theodore W
AU  - Berger TW
AD  - Department of Biomedical Engineering, Center for Neural Engineering, University 
      of Southern California, HNB 412 University Park Campus, Los Angeles, CA, 90089, 
      USA.
LA  - eng
PT  - Journal Article
PL  - United States
TA  - Methods Mol Biol
JT  - Methods in molecular biology (Clifton, N.J.)
JID - 9214969
RN  - 0 (Receptors, N-Methyl-D-Aspartate)
SB  - IM
MH  - Algorithms
MH  - Animals
MH  - Computer Simulation
MH  - Humans
MH  - Kinetics
MH  - Patch-Clamp Techniques
MH  - Receptors, N-Methyl-D-Aspartate/*metabolism
MH  - Synapses/metabolism
MH  - Synaptic Transmission/*physiology
OTO - NOTNLM
OT  - Computational model; kinetic models
OT  - NMDA receptors model
OT  - Optimization algorithm
OT  - Ordinary differential equation
OT  - Pharmacology
OT  - Synaptic function
EDAT- 2017/10/08 06:00
MHDA- 2018/06/12 06:00
CRDT- 2017/10/08 06:00
PHST- 2017/10/08 06:00 [entrez]
PHST- 2017/10/08 06:00 [pubmed]
PHST- 2018/06/12 06:00 [medline]
AID - 10.1007/978-1-4939-7321-7_17 [doi]
PST - ppublish
SO  - Methods Mol Biol. 2017;1677:291-306. doi: 10.1007/978-1-4939-7321-7_17.