DocumentCode
597463
Title
A module-based approach to biomodel engineering with Petri Nets
Author
Marwan, W. ; Blatke, M.A.
Author_Institution
Otto-von-Guericke Univ., Magdeburg, Germany
fYear
2012
fDate
9-12 Dec. 2012
Firstpage
1
Lastpage
12
Abstract
Based on Petri nets as formal language for biomodel engineering, we describe the general concept of a modular modelling approach that considers the functional coupling of modules representing components of the genome, the transcriptome, and the proteome in the form of an executable model. The composable, metadata-containing Petri net modules are organized in a database with version control and accessible through a web interface. The effects of genes and their mutated alleles on downstream components are modelled by gene modules coupled to protein modules through RNA modules by specific interfaces designed for the automatic, database-assisted composition. Automatically assembled models may integrate forward and reverse engineered modules and consider cell type-specific gene expression patterns. Prospects for automatic model generation including its application to systems biology, synthetic biology, and to functional genomics are discussed.
Keywords
Internet; Petri nets; RNA; biology computing; genomics; meta data; proteomics; user interfaces; RNA modules; Web interface; automatic model generation; biomodel engineering; cell type-specific gene expression patterns; database-assisted composition; downstream components; executable model; formal language; functional genomics; functional modules coupling; genome; metadata-containing Petri net modules; modular modelling approach; module-based approach; proteome; synthetic biology; systems biology; transcriptome; version control; Biological system modeling; Degradation; Mathematical model; Molecular biophysics; Petri nets; Proteins; RNA;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference (WSC), Proceedings of the 2012 Winter
Conference_Location
Berlin
ISSN
0891-7736
Print_ISBN
978-1-4673-4779-2
Electronic_ISBN
0891-7736
Type
conf
DOI
10.1109/WSC.2012.6465259
Filename
6465259
Link To Document