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Computational modelling of liver metabolism and its applications in research and the clinics

Tanja Cvitanović Tomaš, Miha Moškon, Miha Mraz, Damjana Rozman

Abstract


Computational models of liver metabolism are gaining an increasing importance within the research community. Moreover, their first clinical applications have been reported in recent years in the context of personalised and systems medicine. Herein, we survey selected experimental models together with the computational modelling approaches that are used to describe the metabolic processes of the liver in silico. We also review the recent developments in the large-scale hepatic computational models where we focus on object-oriented models as a part of our research. The object-oriented modelling approach is beneficial in efforts to describe the interactions between the tissues, such as how metabolism of the liver interacts with metabolism of other tissues via blood. Importantly, this modelling approach can account as well for transcriptional and post-translational regulation of metabolic reactions which is a difficult task to achieve. The current and potential clinical applications of large-scale hepatic models are also discussed. We conclude with the future perspectives within the systems and translational medicine research community.


Keywords


hepatic metabolism; systems medicine; modelling and simulation; large-scale metabolic models; NAFLD; liver

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DOI: http://dx.doi.org/10.17344/acsi.2018.4461

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