Understanding genetic variation - the value of systems biology.
Pharmacology is currently transformed by the vast amounts of genome-associated information available for system-level interpretation. Here I review the potential of systems biology to facilitate this interpretation, thus paving the way for the emerging field of systems pharmacology. In particular, I will show how gene regulatory and metabolic networks can serve as a framework for interpreting high throughput data and as an interface to detailed dynamical models. In addition to the established connectivity analyses of effective networks, I suggest here to also analyze higher order architectural properties of effective networks.
School of Engineering and Science, Jacobs University Bremen, Campus Ring 1, D-28759, Bremen, Germany.
Marc-Thorsten
MT
Hütt
D005786:Gene Expression Regulation / Q000235:genetics; D014644:Genetic Variation; D006801:Humans; D053858:Metabolic Networks and Pathways; D008954:Models, Biological; D049490:Systems Biology / Q000639:trends*
biological networks; mathematical modeling; nonlinear dynamics