DocumentCode
1826970
Title
Compartmental rule-based modeling of biochemical systems
Author
Harris, Leonard A. ; Hogg, Justin S. ; Faeder, James R.
Author_Institution
Sch. of Med., Dept. of Comput. Biol., Univ. of Pittsburgh, Pittsburgh, PA, USA
fYear
2009
fDate
13-16 Dec. 2009
Firstpage
908
Lastpage
919
Abstract
Rule-based modeling is an approach to modeling biochemical kinetics in which proteins and other biological components are modeled as structured objects and their interactions are governed by rules that specify the conditions under which reactions occur. BioNetGen is an open-source platform that provides a simple yet expressive language for rule-based modeling (BNGL). In this paper we describe compartmental BNGL (cBNGL), which extends BNGL to enable explicit modeling of the compartmental organization of the cell and its effects on system dynamics. We show that by making localization a queryable attribute of both molecules and species and introducing appropriate volumetric scaling of reaction rates, the effects of compartmentalization can be naturally modeled using rules. These properties enable the construction of new rule semantics that include both universal rules, those defining interactions that can take place in any compartment in the system, and transport rules, which enable movement of molecular complexes between compartments.
Keywords
biology computing; public domain software; software tools; BioNetGen; biochemical kinetic modelling; biochemical systems; biological component modelling; compartmental rule-based modeling; open-source platform; proteins; queryable attribute modelling; system dynamic effect; Biological system modeling; Biomembranes; Cells (biology); Collaborative software; Computational biology; Computational modeling; Medical simulation; Network topology; Open source software; Proteins;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference (WSC), Proceedings of the 2009 Winter
Conference_Location
Austin, TX
Print_ISBN
978-1-4244-5770-0
Type
conf
DOI
10.1109/WSC.2009.5429719
Filename
5429719
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