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Systems Control Group

The Systems Control Group

From left to right: Rui Ribeiro, Dr. Alexandre Mauroy, Dr. Pham Duong, Dr. Johan Markdahl, Laurent Mombaerts, Dr. Johan Thunberg, Prof. Dr. Jorge Gonçalves, Dr. Nicolo Colombo, Dr. Anija Dokter, Andreas Husch, Zuogong Ye, René Peter Bremm

About the Systems Control Group

The Systems Control Group (SCG) aims to understand the source of diseases and find new therapies and cures. This is accomplished by building mathematical models and tools that pinpoint the exact location of diseases. The mathematical models are simple yet powerful, and capture the dynamics seem in biological systems. The predictive power of these models comes from mimicking the most important feature of biological systems: the fact that they are dynamic in nature, as molecular numbers change over time time in response to internal or external stimulus. When pushed from their comfort zone, systems respond by activating a number of elements that try to restore their initial state. This transient behaviour is essential to understand how the components in the system interact with each other. Hence, time-series data offers a window into complex biochemical systems. Although time-series experiments are more expensive than steady-state, they provide an enormous amount of information, essential to understand biochemical pathways, organs and organisms. Theoretically, the SCG is moving ahead by developing the necessary tools to model and analyse time-series data, as we predict these data will become more and more frequent in the near future. Examples are tools to infer causal networks between measurements, to find differential expressed systems, and systematic engineering control tools for synthetic biology design. Applied, the group closely collaborates with experimental biologists to generate mathematical models, which offer new biological insights that can subsequently be tested experimentally, hence closing the loop between experiments and modelling. Examples range from the understanding the molecular details of circadian rhythms to learn about the sources of Parkinson’s disease.

Head of Team

Prof. Dr. Jorge Goncalves (LCSB)