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Tiemann2011_PhenotypeTransitions


ABSTRACT: To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

DISEASE(S): Fatty Liver Disease

SUBMITTER: Natal van Riel  

PROVIDER: MODEL1112150000 | BioModels | 2018-01-31

REPOSITORIES: BioModels

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Publications

Parameter adaptations during phenotype transitions in progressive diseases.

Tiemann Christian A CA   Vanlier Joep J   Hilbers Peter A J PA   van Riel Natal A W NA  

BMC systems biology 20111026


<h4>Background</h4>The study of phenotype transitions is important to understand progressive diseases, e.g., diabetes mellitus, metabolic syndrome, and cardiovascular diseases. A challenge remains to explain phenotype transitions in terms of adaptations in molecular components and interactions in underlying biological systems.<h4>Results</h4>Here, mathematical modeling is used to describe the different phenotypes by integrating experimental data on metabolic pools and fluxes. Subsequently, traje  ...[more]

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