Project

Developing mathematical methods for Systems Biology

The project aims at developing general expertise for the analysis of biological networks. In the first year, efficient general methods have been developed and tested for the analysis of the stability of periodic orbits. To that end a method has been published that allows a fast estimation of the so-called robustness region of a system: the region in parameter space for which the system shows periodic behaviour. The method is discussed in a paper.

Construction of a cross-section of the robustness regions in parameterspace of the Laub-Loomis model.
Construction of a cross-section of the robustness regions in parameterspace of the Laub-Loomis model.

In the second year model reduction techniques are studied, developed, and applied.

Project output

Mochamad Apri, Jaap Molenaar, Maarten de Gee, George van Voorn, 2010. Efficient Estimation of the Robustness Region of Biological Models with Oscillatory Behavior. PLoS ONE 5(4):e9865.

Presentations:

Apri M, Molenaar J, de Gee M, van Voorn G, How to analyze the robustness of biological models with oscillatory behavior, RECOMB Satellite Conference on Regulatory Genomics-System Biology-DREAM4, 2 – 6 December 2009, Cambridge, MA, USA

Apri M, Molenaar J, van Mourik S, de Gee M, Reducing redundancy in biological networks, Cold Harbor Spring Laboratory Conference on Systems Biology: Network, 11 – 15 August 2010, Hinxton, UK

Molenaar J, Apri M, Complexity reduction in biological networks, International Conference on Systems Biology, 10 – 16 October 2010, Edinburgh, UK