Project Details
Projekt
GRK 1387: Integrative Development of Modelling and Simulation Methods for Regenerative Systems (dIEM oSiRiS)
Subject Area
Computer Science
Term
from 2006 to 2011
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 19986351
The ability of regeneration characterises biological cell systems and is required increasingly for computer science systems as well. Regenerative systems are able to overcome significant perturbations and maintain autonomously their functionality in dynamic and uncertain environments. To analyse or develop these types of systems, modelling and simulation play a crucial role. However, due to being large scale and embracing, many heterogeneously acting and interacting subsystems with variable patterns of behaviour, interaction and composition require the development of new modelling and simulation methodologies to support a flexible modelling at different levels of organisation and abstraction and an efficient execution of experiments.
To meet these challenges, different methods from visualisation, databases, modelling and simulation shall be combined. The analysis of characteristics and requirements of regenerative systems and the evaluation of the developed concepts shall be based on a specific biological application, the Wnt signalling pathway, which plays a central role in the development of e.g. neural cells. The processes mediated by the signal protein Wnt in neural progenitor cells are of such complexity that modelling and simulation steps are needed to optimise the experimental approach selected by the molecular biologists. The better understanding of the regulatory steps of the Wnt signalling pathway will yield information needed to find improved therapeutic approaches for the regeneration of lost organ functions in general and particularly in neurodegenerative diseases.
The Research Training Group brings together researchers from computer science, medicine and biology; it will contribute towards achieving new insights into the functioning of biological cell systems, establishing modelling and simulation as an experimental methodology in biology, and develop innovative modelling and simulation methods and tools which will benefit the understanding and the design of regenerative systems in general. From the outset, international researchers will take an active role in advising the students and will partake in research stays at other research institutions as an important part of the PhD programme.
To meet these challenges, different methods from visualisation, databases, modelling and simulation shall be combined. The analysis of characteristics and requirements of regenerative systems and the evaluation of the developed concepts shall be based on a specific biological application, the Wnt signalling pathway, which plays a central role in the development of e.g. neural cells. The processes mediated by the signal protein Wnt in neural progenitor cells are of such complexity that modelling and simulation steps are needed to optimise the experimental approach selected by the molecular biologists. The better understanding of the regulatory steps of the Wnt signalling pathway will yield information needed to find improved therapeutic approaches for the regeneration of lost organ functions in general and particularly in neurodegenerative diseases.
The Research Training Group brings together researchers from computer science, medicine and biology; it will contribute towards achieving new insights into the functioning of biological cell systems, establishing modelling and simulation as an experimental methodology in biology, and develop innovative modelling and simulation methods and tools which will benefit the understanding and the design of regenerative systems in general. From the outset, international researchers will take an active role in advising the students and will partake in research stays at other research institutions as an important part of the PhD programme.
DFG Programme
Research Training Groups
Applicant Institution
Universität Rostock
Spokesperson
Professorin Dr. Adelinde Uhrmacher
