Multi-Level Modeling and Simulation in Systems Biology — Promises and Challenges

Uhrmacher, Adelinde M. (2006) Multi-Level Modeling and Simulation in Systems Biology — Promises and Challenges. In: 10th IEEE International Symposium on Distributed Simulation and Real-Time Applications (DS-RT 2006), 2-4 October 2006, Malaga, Spain. Proceedings,, p. 95.

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/DS-RT.2006.24

Abstract

Summary form only given. Systems biology is aimed at analyzing the behavior and interrelationships of biological systems and is characterized by combining experimentation, theory, and computation. Multi-level models describe systems at different levels of organization and abstraction. To apply them in systems biology implies typically that concentration changes as well as the discrete behavior of single entities and their interactions need to be taken into account in modeling and simulation. A variety of approaches have been developed offering specific perspectives on cellular systems in modeling and simulation. We explore how far multi-level aspects are already supported and identify challenges yet to be met

Item Type: Conference or Workshop Item (Paper)