- Tiemann CA, Vanlier J, Oosterveer MH, Groen AK, Hilbers PAJ, van Riel NAW, Parameter Trajectory Analysis to Identify Treatment Effects of Pharmacological Interventions. PLOS COMPUT BIOL 2013;9 (8):e1003166 [PubMed]
- van Riel NAW, Dynamic modelling and analysis of biochemical networks: mechanism-based models and model-based experiments. BRIEF BIOINFORM 2006;7 (4):364-374 [PubMed]
- Hijmans BS, Tiemann CA, Grefhorst A, Boesjes M, van Dijk TH, Tietge UJF, Kuipers F, van Riel NAW, Groen AK, Oosterveer MH, A systems biology approach reveals the physiological origin of hepatic steatosis induced by liver X receptor activation. FASEB J 2015;29 (4):1153-1164 [PubMed]
- Sips FLP, Nyman E, Adiels M, Hilbers PAJ, Strålfors P, van Riel NAW, Cedersund G, Model-Based Quantification of the Systemic Interplay between Glucose and Fatty Acids in the Postprandial State. PLOS ONE 2015;10 (9):e0135665 [PubMed]
- Maas AH, Rozendaal YJW, van Pul C, Hilbers PAJ, Cottaar WJ, Haak HR, van Riel NAW, A physiology-based model describing heterogeneity in glucose metabolism: the core of the Eindhoven Diabetes Education Simulator (E-DES). J DIABETES SCI TECHNOL 2015;9 (2):282-292 [PubMed]
Prof. dr. Natal van Riel (PhD) is Professor of Computational Modelling at the Academic Medical Center - University of Amsterdam (AMC - UvA), and is one of the AMC Principal Investigators. He was trained in system and control engineering (Electrical Engineering MSc degree in 1995). In 2000 he obtained a PhD degree in Molecular Cell Biology from Utrecht University. From 2000 to 2003 he worked at Eindhoven University of Technology (TU/e) on the application of system and control theory to understand biological processes. He initiated Systems Biology research in Eindhoven. In 2006 he joined the Dept. of Biomedical Engineering of the same university to lead the Computational Systems Biology research program. He also is Associate Professor of Systems Biology and Metabolic Diseases at TU/e. His current research focuses on metabolic network modelling, methods for model parametrization and analysis of dynamic models, and applications in Metabolic Syndrome and associated diseases such as Type 2 Diabetes.
Computational modelling of metabolic diseases, in particular diabetes
The research programme applies mathematical modelling and computation to study metabolic diseases, in particular Metabolic Syndrome and co-morbidities. Systems biology approaches are developed for application in basic and clinical research.
This research group participates in the Amsterdam Diabetes Center.
Prof. dr. N.A.W. van Riel (Eindhoven University of Technology)
Dr. V. Yildirim (Eindhoven University of Technology)
A. Cabbia MSc (Eindhoven University of Technology)
Z. Félix MSc (Eindhoven University of Technology)
D. Lao Martil MSc (Eindhoven University of Technology)
Ir. A.H. Maas (Eindhoven University of Technology)
S. O'Donovan MSc
Ir. Y.J.W. Rozendaal (Eindhoven University of Technology)
Ir. F.L.P. Sips (Eindhoven University of Technology)
Prof. dr. M. Nieuwdorp MD PhD (Gutmicrobiota as novel diagnostic and therapeutic targets in cardiometabolism)
- Associate Professor, Eindhoven University of Technology
- None reported