Stochastic simulation for spatial modelling of dynamic process in a living cell

Burrage, Kevin, Burrage, Pamela, Leier, Andre, Marquez-Lago, Tatiana, & Nicolau Jr., Dan (2011) Stochastic simulation for spatial modelling of dynamic process in a living cell. In Koeppl, H., Densmore, D., Setti, G., & di Bernardo, M. (Eds.) Design and Analysis of Biomolecular Circuits: Engineering Approaches to Systems and Synthetic Biology. Springer Science+Business Media, pp. 43-62.

[img] Accepted Version (PDF 2MB)
Administrators only | Request a copy from author

View at publisher


One of the fundamental motivations underlying computational cell biology is to gain insight into the complicated dynamical processes taking place, for example, on the plasma membrane or in the cytosol of a cell. These processes are often so complicated that purely temporal mathematical models cannot adequately capture the complex chemical kinetics and transport processes of, for example, proteins or vesicles. On the other hand, spatial models such as Monte Carlo approaches can have very large computational overheads. This chapter gives an overview of the state of the art in the development of stochastic simulation techniques for the spatial modelling of dynamic processes in a living cell.

Impact and interest:

22 citations in Web of Science®
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 45889
Item Type: Book Chapter
Additional URLs:
Keywords: Plasma membrane, Chemical kinetics, Gene regulation, Stochastic simulation algorithm, Multiscale stochastic modelling, Diffusion, Delayed reactions, Stochastic simulators
DOI: 10.1007/978-1-4419-6766-4_2
ISBN: 9781441967657
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > BIOMEDICAL ENGINEERING (090300)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2011 Springer Science+Business Media
Copyright Statement: The original publication is available at SpringerLink
Deposited On: 11 Sep 2011 22:52
Last Modified: 15 Jul 2017 07:13

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page