Ontology highlight
ABSTRACT:
SUBMITTER:
Rozendaal YJW
PROVIDER: MODEL1803200001 | BioModels | 2019-02-07
REPOSITORIES: BioModels
| Action | DRS | |||
|---|---|---|---|---|
| MODEL1803200001?filename=modelYR2017.xml | Xml |
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PLoS computational biology 20180607 6
The Metabolic Syndrome (MetS) is a complex, multifactorial disorder that develops slowly over time presenting itself with large differences among MetS patients. We applied a systems biology approach to describe and predict the onset and progressive development of MetS, in a study that combined in vivo and in silico models. A new data-driven, physiological model (MINGLeD: Model INtegrating Glucose and Lipid Dynamics) was developed, describing glucose, lipid and cholesterol metabolism. Since class ...[more]