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Coarse-grained Brownian dynamics simulation of rule-based models

Klann M.
•
Pauleve L.
•
Petrov T.
•
Koeppl H.
2013
  • conference object

Abstract
Studying spatial effects in signal transduction, such as colocalization along scaffold molecules, comes at a cost of complexity. In this paper, we propose a coarse-grained, particle-based spatial simulator, suited for large signal transduction models. Our approach is to combine the particle-based reaction and diffusion method, and (non-spatial) rule-based modeling: the location of each molecular complex is abstracted by a spheric particle, while its internal structure in terms of a site-graph is maintained explicit. The particles diffuse inside the cellular compartment and the colliding complexes stochastically interact according to a rule-based scheme. Since rules operate over molecular motifs (instead of full complexes), the rule set compactly describes a combinatorial or even infinite number of reactions. The method is tested on a model of Mitogen Activated Protein Kinase (MAPK) cascade of yeast pheromone response signaling. Results demonstrate that the molecules of the MAPK cascade co-localize along scaffold molecules, while the scaffold binds to a plasma membrane bound upstream component, localizing the whole signaling complex to the plasma membrane. Especially we show, how rings stabilize the resulting molecular complexes and derive the effective dissociation rate constant for it.
DOI
10.1007/978-3-642-40708-6_6
WOS
WOS:000342772500011
Archivio
https://hdl.handle.net/11368/3070447
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84885972597
Diritti
metadata only access
Soggetti
  • spatial modelling

  • systems biology

  • course-grained simula...

  • rule-based modelling

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