@inproceedings{1e343c1b0a7b48e4be9b09f44b81d5a5,
title = "Simulation of central glucose metabolism using queueing network",
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.",
keywords = "Glucose metabolism, metabolic modeling, queueing theory",
author = "Wysocki, {Beata J.} and Clement, {Emalie J.} and Davis, {Paul H.} and Wysocki, {Tadeusz A.}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Electro Information Technology, EIT 2017 ; Conference date: 14-05-2017 Through 17-05-2017",
year = "2017",
month = sep,
day = "27",
doi = "10.1109/EIT.2017.8053358",
language = "English (US)",
series = "IEEE International Conference on Electro Information Technology",
publisher = "IEEE Computer Society",
pages = "217--222",
booktitle = "2017 IEEE International Conference on Electro Information Technology, EIT 2017",
}