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EONS Synaptic Modeling Platform: Exploration of Mechanisms Regulating Information Processing in the CNS and Application to Drug Discovery

[+] Author Affiliations
Sushmita L. Allam

University of Southern California, Los Angeles, CA

Jean-Marie C. Bouteiller, Michel Baudry, Theodore W. Berger

University of Southern California, Los Angeles, CA; Rhenovia Pharma, Mulhouse, France

Renaud Greget, Serge Bischoff

Rhenovia Pharma, Mulhouse, France

Paper No. BioMed2008-38095, pp. 117-118; 2 pages
  • ASME 2008 3rd Frontiers in Biomedical Devices Conference
  • ASME 2008 3rd Frontiers in Biomedical Devices Conference
  • Irvine, California, USA, June 18–20, 2008
  • Conference Sponsors: Nanotechnology Institute
  • ISBN: 0-7918-4833-7 | eISBN: 0-7918-3823-4
  • Copyright © 2008 by ASME


EONS modeling platform is a resourceful learning and research tool to study the mechanisms underlying the non-linear dynamics of synaptic transmission with the aid of mathematical models. Mathematical modeling of information processing in CNS pathways, in particular modeling of molecular events and synaptic dynamics, have not been extensively developed owing to the complex computations involved in integrating a multitude of parameters. In this paper, we discuss the development of a strategy to adapt the EONS synaptic modeling platform to a multi-node environment using a parallel computational framework to compute data intensive long simulations in a shorter time frame. We describe how this strategy can be applied to (i) determine the optimal values of the numerous parameters required for fitting experimental data, (ii) determine the impact of all parameters on various aspects of synaptic transmission (under normal conditions or conditions mimicking pathological conditions) and (iii) study the effects of exogenous molecules on both healthy and pathological synaptic models.

Copyright © 2008 by ASME
Topics: Modeling , Drugs , Mechanisms



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