Queueing theory model of Krebs cycle.

Kloska, Sylwester; Pałczyński, Krzysztof; Marciniak, Tomasz; Talaśka, Tomasz; Nitz, Marissa; Wysocki, Beata J; Davis, Paul; Wysocki, Tadeusz A · Bioinformatics · 2021

basic_science · Level V

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Abstract

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. 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. 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 data are available at Bioinformatics online.

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