A rule-based approach to the global dynamics of protein networks

Vincent Danos
University of Edinburgh, UK

Over the past decade, networks have emerged as a biological paradigm. High-throughput experimental techniques, bioinformatics and improved data analysis have made a global systemic view possible. However statistical studies of network structure (degree distributions, motifs, etc.) are limited by the fact that network descriptions (usually plain graphs) are static. One would like to investigate the network dynamics. Bridging this gap between network structure and function poses serious challenges. One needs high-quality network data. One also needs new modelling techniques since the traditional ones cannot cope with the inherent combinatorial complexity. We present an other approach grounded in the computer science of distributed systems, that allows us to consider truly global cellular systems, and investigate their dynamics.

Last changed November 6, 2008 22:44 EET by local organizers, nwpt08(at)cs.ioc.ee