Research Project: DiErMoSiS
|Discrete event-oriented multi-level modeling and simulation in systems biology|
Abstract: The project is aimed at the development of modeling and simulation methods taking the specific challenges of Systems Biology into account and that support a description and analysis at different levels of detail. Therefore, concrete models shall be generated. Thus, the project combines research on modeling and simulation methodology and research on generating cellular models.
|Research Project Information|
Runtime: 2005-11-01 until 2011-10-15
Project coordination: Adelinde M. Uhrmacher
Former staff: Dr.-Ing. Jan Himmelspach; Dr.-Ing. Mathias Röhl; Dr.-Ing. Roland Ewald; Dipl. Inf. Susanne Biermann; Dipl. Biol. Carsten Maus; Dr.-Ing. Orianne Mazemondet; Dipl. Inf. Stefan Rybacki
Former student staff: Marcel Buchhardt; Enrico Gutzeit; Christian Lemke; Stefan Leye; Stefan Reinke; Sebastian Schwanke; Antje Samland; Mathias Süß; Simon Bartels; Georg Straube; Steffen Torbahn
Cooperation partner(s): Neurobiological Lab University of Rostock; The Microsoft Research - University of Trento Centre for Computational and Systems Biology
The creation of models for heterogeneous and complex cellular networks is a central goal of Systems Biology. When modeling a biological network, one may wish to account for certain aspects in detail, while a bird's eye perspective would seem more appropriate for other parts. Multi-level models combine such overview and detail representations. Descriptions at different temporal scales allow to model both slow and fast sub-systems of a dynamic system within one model. Descriptions at different abstraction levels are supported by the composition of models, and by variables that scale over various orders of magnitude. Compositions allow to structure according to function and to distinguish between individuals. When quantitative variables are transformed into qualitative ones, certain ranges of values are aggregated. Descriptions at micro and macro level capture the dynamics of interacting individuals as well as that of entire populations. Thus, the macro level forms also an aggregation, i.e. an aggregation of models representing individuals all belonging to the same population. The more complex biological systems become the more a multi-level approach towards their modeling and simulation is required. Therefore some research into the possibilities and limitations of existing modeling and simulation methods to support such multiple perceptions on biological systems is overdue. The goal of the project is to develop new methods addressing the particular challenges of multi-level models in Systems Biology.
This can only be achieved based on concrete applications and in close cooperation with wet-lab partners.