Title
Multi-Level Modeling In Systems Biology By Discrete Event Approaches
Abstract
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. We illustrate multi-level modeling with gene regulation of the Tryptophan operon in E. coli. We review three discrete event modeling formalisms and discuss model design therein: DEVS, STATECHARTS, and stochastic pi-CALCULUS. This introductory presentation already reveals some of their respective virtues and shortcomings.
Year
DOI
Venue
2006
10.1524/itit.2006.48.3.148
IT-INFORMATION TECHNOLOGY
Keywords
Field
DocType
J.3 [Life and Medical Sciences], I.6 [Simulation and Modeling], Modeling, Simulation, Simulation Languages, Multi-Level Modeling, Discrete-event Modeling, Systems Biology
Computer science,Multilevel model,Systems biology,Theoretical computer science,Discrete event modeling
Journal
Volume
Issue
ISSN
48
3
1611-2776
Citations 
PageRank 
References 
2
0.40
3
Authors
2
Name
Order
Citations
PageRank
Adelinde Uhrmacher116814.98
Céline Kuttler2565.61