Project Partners

Prof. Dr. Reinhard Lipowsky, Director

Prof. Lipowsky (2869 Byte)

Theory Department
MPI of Colloids and Interfaces
Am Muehlenberg 1
14476 Potsdam-Golm
Tel 0331-567-9600
Fax 0331-567-9602
lipowsky@mpikg.mpg.de

Core Competency:

Theory of networks; measures for network structure; dynamic processes on networks; local and global characterization of activity patterns; methods include analytical tools provided by graph theory and statistical physics as well as computer simulations.

The AG Nonlinear Dynamics has a strong background in the investigation of complex biological systems. Areas of expertise include simulation and analysis of complex dynamical systems, nonlinear data and time series analysis, properties of complex biological networks, theory and application of synchronization and noise-induced phenomena. Ongoing projects include mathematical and in silico models for the regulation of metabolism (protein synthesis, degradation), effects of noise in models of cellular regulation, investigation of gene expression, identification of dynamical regimes in synthetic genetic oscillators, modelling of bone reformation and cognitive mechanisms.

Contribution to Work Programme:

WP1: The biological networks obtained from experimental data and bioinformatics tools will be analysed theoretically. First, network structure will be studied using various structural measures such as degree distributions and community structures. Second, the temporal evolution of the networks’ activity patterns will be determined and characterized by their response and correlation times. Third, the global dynamics of these activity patterns will be analysed in terms of the networks’ attractors and attraction domains. One specific target for this latter analysis are the regulation networks of the model organism Chlamydomonas. The major contribution of this partner will be to WP1. 

Contact

Dr. Susanne Hollmann
University of Potsdam
GoFORSYS
Molecular Biology
Karl-Liebknecht-Str. 24-25
D-14476 Potsdam-Golm

Tel +49-331-977 2811

goforsys@uni-potsdam.de
http://www.GoFORSYS.de