Simulation of central glucose metabolism using queueing network

Beata J. Wysocki, Emalie J. Clement, Paul H Davis, Tadeusz A Wysocki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Computational methods of metabolic pathway modeling permit a better understanding of health, disease, and the basic biological principles of regulation and metabolism; yet, model development and solving sets of ordinary differential equations is a computationally intensive process. Employing the queueing theory, an approach commonly employed to evaluate telecommunication networks, reduces the computational power required to generate simulated results, while simultaneously reducing expansion of errors inherent to classical approaches. The presented simulation model of the glycolysis pathway in human cancer cells well replicates experimentally derived data 30 minutes post-stimulation.

Original languageEnglish (US)
Title of host publication2017 IEEE International Conference on Electro Information Technology, EIT 2017
PublisherIEEE Computer Society
Pages217-222
Number of pages6
ISBN (Electronic)9781509047673
DOIs
StatePublished - Sep 27 2017
Event2017 IEEE International Conference on Electro Information Technology, EIT 2017 - Lincoln, United States
Duration: May 14 2017May 17 2017

Publication series

NameIEEE International Conference on Electro Information Technology
ISSN (Print)2154-0357
ISSN (Electronic)2154-0373

Other

Other2017 IEEE International Conference on Electro Information Technology, EIT 2017
CountryUnited States
CityLincoln
Period5/14/175/17/17

Fingerprint

Queueing networks
Metabolism
Glucose
Queueing theory
Computational methods
Ordinary differential equations
Telecommunication networks
Cells
Health
Glycolysis
Metabolic Networks and Pathways

Keywords

  • Glucose metabolism
  • metabolic modeling
  • queueing theory

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Wysocki, B. J., Clement, E. J., Davis, P. H., & Wysocki, T. A. (2017). Simulation of central glucose metabolism using queueing network. In 2017 IEEE International Conference on Electro Information Technology, EIT 2017 (pp. 217-222). [8053358] (IEEE International Conference on Electro Information Technology). IEEE Computer Society. https://doi.org/10.1109/EIT.2017.8053358

Simulation of central glucose metabolism using queueing network. / Wysocki, Beata J.; Clement, Emalie J.; Davis, Paul H; Wysocki, Tadeusz A.

2017 IEEE International Conference on Electro Information Technology, EIT 2017. IEEE Computer Society, 2017. p. 217-222 8053358 (IEEE International Conference on Electro Information Technology).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Wysocki, BJ, Clement, EJ, Davis, PH & Wysocki, TA 2017, Simulation of central glucose metabolism using queueing network. in 2017 IEEE International Conference on Electro Information Technology, EIT 2017., 8053358, IEEE International Conference on Electro Information Technology, IEEE Computer Society, pp. 217-222, 2017 IEEE International Conference on Electro Information Technology, EIT 2017, Lincoln, United States, 5/14/17. https://doi.org/10.1109/EIT.2017.8053358
Wysocki BJ, Clement EJ, Davis PH, Wysocki TA. Simulation of central glucose metabolism using queueing network. In 2017 IEEE International Conference on Electro Information Technology, EIT 2017. IEEE Computer Society. 2017. p. 217-222. 8053358. (IEEE International Conference on Electro Information Technology). https://doi.org/10.1109/EIT.2017.8053358
Wysocki, Beata J. ; Clement, Emalie J. ; Davis, Paul H ; Wysocki, Tadeusz A. / Simulation of central glucose metabolism using queueing network. 2017 IEEE International Conference on Electro Information Technology, EIT 2017. IEEE Computer Society, 2017. pp. 217-222 (IEEE International Conference on Electro Information Technology).
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