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. 2021 Sep 29;37(18):2912-2919.
doi: 10.1093/bioinformatics/btab177.

Queueing theory model of Krebs cycle

Sylwester Kloska  1 , Krzysztof Pałczyński  2 , Tomasz Marciniak  2 , Tomasz Talaśka  2 , Marissa Nitz  3 , Beata J Wysocki  4 , Paul Davis  4 , Tadeusz A Wysocki  2   3
Affiliations

Queueing theory model of Krebs cycle

Sylwester Kloska et al. Bioinformatics. .

Abstract

Motivation: Queueing theory can be effective in simulating biochemical reactions taking place in living cells, and the article paves a step toward development of a comprehensive model of cell metabolism. Such a model could help to accelerate and reduce costs for developing and testing investigational drugs reducing number of laboratory animals needed to evaluate drugs.

Results: The article presents a Krebs cycle model based on queueing theory. The model allows for tracking of metabolites concentration changes in real time. To validate the model, a drug-induced inhibition affecting activity of enzymes involved in Krebs cycle was simulated and compared with available experimental data.

Availabilityand implementation: The source code is freely available for download at https://github.com/UTP-WTIiE/KrebsCycleUsingQueueingTheory, implemented in C# supported in Linux or MS Windows.

Supplementary information: Supplementary data are available at Bioinformatics online.

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