@inbook{be6eb3efb56a46fba6c5c920e002aca9,
title = "Kinetic Modeling of Hepatic Metabolism and Simulation of Treatment Effects",
abstract = "Mathematical modeling is a promising strategy to fill the experimentally unapproachable knowledge gaps about the relative contribution of various molecular processes to cellular metabolic function. To this end, we developed detailed kinetic models of the central metabolism of different cell types, comprising multiple metabolic functionalities. We used the model to simulate metabolic changes in several cell types under different experimental settings in health and disease. In this way, we show that it is possible to decipher and characterize the relative influence of various metabolic pathways and enzymes to overall metabolic performance and phenotype.Quantitative Systems Metabolism (QSM{\texttrademark}) allows quantitative assessment of metabolic functionality and metabolic profiling based on proteomic data. Here, we describe the technique, namely, molecular resolved kinetic modeling, underlying QSM{\texttrademark}. We explain the necessary steps for the generation of cell-specific models to functionally interpret proteomic data and point out some unresolved challenges and open questions.",
keywords = "Kinetic modeling, Liver, Metabolism, Quantitative proteomics",
author = "Antje Egners and Thorsten Cramer and Iwona Wallach and Nikolaus Berndt",
note = "Publisher Copyright: {\textcopyright} 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.",
year = "2024",
doi = "10.1007/978-1-0716-3694-7_16",
language = "English",
volume = "2769",
series = "Methods in Molecular Biology",
publisher = "Humana Press",
pages = "211--225",
editor = "Guido Kroemer and Jonathan Pol and Isabelle Martins",
booktitle = "Liver Carcinogenesis",
address = "United States",
}