DocumentCode
627874
Title
Exploring Model Integration through Quantized Information Flow
Author
Derbal, Youcef
Author_Institution
Ted Rogers Sch. of ITM, Ryerson Univ., Toronto, ON, Canada
fYear
2013
fDate
5-7 April 2013
Firstpage
43
Lastpage
44
Abstract
The paper explores the integration of coarse-grained model abstractions using feedback of quantized information flow. The modeling and simulation of the lytic induction cycle of lambda phage is used as an illustrative example. The simulation results show that the model, with its modest complexity, has the capacity to internalize the relevant transcription regulatory logic and replicate the salient dynamics of the lytic induction cycle.
Keywords
cellular biophysics; microorganisms; coarse-grained model abstraction; lambda phage; lytic induction cycle; model integration; quantized information flow; transcription regulatory logic; Analytical models; Biological system modeling; Computational modeling; Mathematical model; Protein engineering; Proteins; Coarse-grained Abstraction; Hierarchical Feedback; Quantized Information Flow;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioengineering Conference (NEBEC), 2013 39th Annual Northeast
Conference_Location
Syracuse, NY
ISSN
2160-7001
Print_ISBN
978-1-4673-4928-4
Type
conf
DOI
10.1109/NEBEC.2013.94
Filename
6574348
Link To Document