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BetaWB: modelling and simulating biological processes
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Summer Computer Simulation Conference archive
Proceedings of the 2007 summer computer simulation conference table of contents
San Diego, California
SESSION: Bioinformatics/biology: bioinformatics 1 table of contents
Pages 777-784  
Year of Publication: 2007
ISBN:1-56555-316-0
Authors
Lorenzo Dematté  University of Trento Centre for Computational and Systems Biology, University of Trento
Corrado Priami  University of Trento Centre for Computational and Systems Biology, University of Trento
Alessandro Romanel  University of Trento Centre for Computational and Systems Biology, University of Trento
Sponsor
SCS : Society for Modeling and Simulation International
Publisher
Bibliometrics
Downloads (6 Weeks): 1,   Downloads (12 Months): 19,   Citation Count: 2
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ABSTRACT

This paper presents BetaWB, a framework for modelling and simulating biological processes. The modelling language is based on β-binders, a process calculus developed for better representing biological interactions. In order to provide efficient and accurate stochastic simulation, a new stochastic selection algorithm, based on the Gillespie assumption, is presented. Moreover, two companion graphical tools for the model development and simulation results analysis are provided.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
L. Cardelli. Brane calculi. In V. Danos and V. Vincent Schächter, editors, Computational Methods in Systems Biology, International Conference CMSB 2004, Paris, France, May 26--28, 2004, Revised Selected Papers, LNCS, pages 257--278. Springer, 2005.
 
2
P. Degano, D. Prandi, C. Priami, and P. Quaglia. Beta-binders for biological quantitative experiments. In 4rd Int. Workshop on Quantitative Aspects of Programming Languages (QAPL 06), 2006. to appear.
 
3
D. T. Gillespie. Exact stochastic simulation of coupled chemical reactions. J. Phys. Chem., 81(25):2340--2361, 1977.
 
4
A. Phillips and L. Cardelli. A Correct Abstract Machine for the Stochastic Pi-calculus. In BioConcur '04, Workshop on Concurrent Models in Molecular Biology, 2004.
 
5
C. Priami and P. Quaglia. Beta binders for biological interactions. In CMSB, pages 20--33, 2004.
 
6
 
7
A. Regev and E. Shapiro. Cells as computation. Nature, 2002.
 
8
A. Regev, W. Silverman, and E. Shapiro. Representation and simulation of biochemical processes using the pi-calculus process algebra. In Proceedings of the Pacific Symposium of Biocomputing 2001, volume 6, pages 459--470, 2001.
 
9
A. Romanel, L. Dematté, and C. Priami. The Beta Workbench. Technical Report TR-3-2007, The Microsoft Research - University of Trento Centre for Computational and Systems Biology, February 2007.
 
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V. Volterra. Variazioni e Fluttuazioni del Numero d'Individui in Specie Animali Conviventi, pages 1--110. Memorie dela R. Academia Nationale dei Lincei. 1926.


Collaborative Colleagues:
Lorenzo Dematté: colleagues
Corrado Priami: colleagues
Alessandro Romanel: colleagues