BioModel engineering for multiscale Systems Biology.
We discuss some motivational challenges arising from the need to model and analyse complex biological systems at multiple scales (spatial and temporal), and present a biomodel engineering framework to address some of these issues within the context of multiscale Systems Biology. Our methodology is based on a structured family of Petri net classes which enables the investigation of a given system using various modelling abstractions: qualitative, stochastic, continuous and hybrid, optionally in a spatial context. We illustrate our approach with case studies demonstrating hierarchical flattening, treatment of space, and hierarchical organisation of space.
Department of Computer Science, Brandenburg University of Technology, Postbox 10 13 44, 03013 Cottbus, Germany. monika.heiner@informatik.tu-cottbus.de
Monika
M
Heiner
David
D
Gilbert
D000465:Algorithms; D000818:Animals; D001419:Bacteria / Q000254:growth & development; D016764:Cell Polarity; D004331:Drosophila melanogaster / Q000166:cytology; D008954:Models, Biological; D013269:Stochastic Processes; D049490:Systems Biology / Q000379:methods*; D014921:Wings, Animal / Q000166:cytology