Biological pathways as communicating computer systems
Author:
Affiliation:
1. Oxford University Computing Laboratory, Wolfson Building, Parks Road, Oxford OX1 3QD, UK
2. CRUK Growth Factor Group, School of Biosciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
Abstract
Publisher
The Company of Biologists
Subject
Cell Biology
Link
http://journals.biologists.com/jcs/article-pdf/122/16/2793/1499388/2793.pdf
Reference42 articles.
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2. Calder, M., Duguid, A., Gilmore, S. and Hillston, J. (2006a). Stronger computational modelling of signalling pathways using both continuous and discrete-state methods. In Computational Methods in Systems Biology (Lecture Notes in Computer Science, Vol. 4210) (ed. C. Priami), pp. 63-77. Berlin: Springer.
3. Calder, M., Gilmore, S. and Hillston, J. (2006b). Modelling the influence of RKIP on the ERK signalling pathway using the stochastic process algebra PEPA. Trans. Comput. Syst. Biol. VII 4230, 1-23.
4. Ciocchetta, F. and Hillston, J. (2008). Bio-PEPA: an extension of the process algebra PEPA for biochemical networks. Electr. Notes Theor. Comput. Sci.194, 103-117.
5. Ciocchetta, F., Priami, C. and Quaglia, P. (2008). An automatic translation of SBML into beta-binders. IEEE/ACM Trans. Comput. Biol. Bioinform.5, 80-90.
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