Queueing theory model of Krebs cycle
| Autor: | Tomasz Marciniak, Tomasz Talaśka, Beata J. Wysocki, Marissa Nitz, Sylwester Kloska, Tadeusz A. Wysocki, Krzysztof Pałczyński, Paul H. Davis |
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| Rok vydání: | 2021 |
| Předmět: |
Statistics and Probability
Supplementary data 0303 health sciences Queueing theory Source code Computer science media_common.quotation_subject Distributed computing Experimental data Biochemistry Computer Science Applications 03 medical and health sciences Computational Mathematics 0302 clinical medicine Computational Theory and Mathematics Kinetic equations 030220 oncology & carcinogenesis Investigational Drugs Microsoft Windows Pseudocode Molecular Biology 030304 developmental biology media_common |
| Zdroj: | Bioinformatics. 37:2912-2919 |
| ISSN: | 1460-2059 1367-4803 |
| DOI: | 10.1093/bioinformatics/btab177 |
| Popis: | MotivationQueueing 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.ResultsThe 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 implementationThe source code is freely available for download at https://github.com/UTP-WTIiE/KrebsCycleUsingQueueingTheory, implemented in C# supported in Linux or MS Windows.Supplementary informationSupplementary data are available at Bioinformatics online. |
| Databáze: | OpenAIRE |
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