Abstract
Integration of different kinds of biological processes is an ultimate goal for whole-cell modelling. We briefly review modelling formalisms that have been used in Systems Biology and identify the criteria that must be addressed by an integrating framework capable of modelling, analysing and simulating different biological networks. Aware that no formalism can fit all purposes we realize Petri nets as a suitable model for Metabolic Engineering and take a deeper perspective on the role of this formalism as an integrating framework for regulatory and metabolic networks.
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Blinov, M.L., Faeder, J.R., Goldstein, B., Hlavacek, W.S.: BioNetGen: software for rule-based modeling of signal transduction based on the interactions of molecular domains. Bioinformatics 20(17), 3289–3291 (2004)
Calder, M., Gilmore, S., Hillston, J.: Automatically deriving ODEs from process algebra models of signalling pathways. In: Computational Methods in Systems Biology 2005, pp. 204–215 (2005)
Calzone, L., Fages, F., Soliman, S.: BIOCHAM: an environment for modeling biological systems and formalizing experimental knowledge. Bioinformatics 22(14), 1805–1807 (2006)
Chaouiya, C.: Petri net modelling of biological networks. Briefings in Bioinformatics 8(4), 210 (2007)
Chassagnole, C., Noisommit-Rizzi, N., Schmid, J.W., Mauch, K., Reuss, M.: Dynamic modeling of the central carbon metabolism of Escherichia coli. Biotechnology and Bioengineering 79(1), 53–73 (2002)
Chen, M.: Quantitative Petri Net Model of Gene Regulated Metabolic Networks in the Cell. Silico Biology 3(3), 347–365 (2003)
Cohen, I.R., Harel, D.: Explaining a complex living system: dynamics, multi-scaling and emergence. Journal of The Royal Society Interface 4(13), 175–182 (2007)
Covert, M.W., Xiao, N., Chen, T.J., Karr, J.R.: Integrating Metabolic, Transcriptional Regulatory and Signal Transduction Models in Escherichia coli. Bioinformatics (2008)
Danos, V., Laneve, C.: Formal molecular biology. Theoretical Computer Science 325(1), 69–110 (2004)
Finney, A., Hucka, M.: Systems biology markup language: Level 2 and beyond. Biochem. Soc. Trans. 31(Pt 6), 1472–1473 (2003)
Fisher, J., Henzinger, T.A.: Executable cell biology. Nature Biotechnology 25(11), 1239 (2007)
Ghosh, R., Tomlin, C.: Symbolic reachable set computation of piecewise affine hybrid automata and its application to biological modelling: Delta-notch protein signalling. IEE Systems Biology 1(1), 170–183 (2004)
Heiner, M., Gilbert, D., Donaldson, R.: Petri Nets for Systems and Synthetic Biology. In: Formal Methods for Computational Systems Biology: 8th International School on Formal Methods for the Design of Computer, Communication, and Software Systems, Sfm 2008 Bertinoro, Italy, June 2-7 (2008)
Ideker, T., Lauffenburger, D.: Building with a scaffold: emerging strategies for high-to low-level cellular modeling. Trends in Biotechnology 21(6), 255–262 (2003)
John, M., Ewald, R., Uhrmacher, A.M.: A Spatial Extension to the π Calculus. Electronic Notes in Theoretical Computer Science 194(3), 133–148 (2008)
Kauffman, S.A.: Metabolic stability and epigenesis in randomly constructed genetic nets. J. Theor. Biol. 22(3), 437–467 (1969)
Kitano, H.: Computational systems biology. Nature 420(6912), 206–210 (2002)
Materi, W., Wishart, D.S.: Computational systems biology in drug discovery and development: methods and applications. Drug Discovery Today 12(7-8), 295–303 (2007)
Matsuno, H., Tanaka, Y., Aoshima, H., Doi, A., Matsui, M., Miyano, S.: Biopathways Representation and Simulation on Hybrid Functional Petri Net. Silico Biology 3(3), 389–404 (2003)
Nagasaki, M., Doi, A., Matsuno, H., Miyano, S.: Genomic Object Net: I. A platform for modelling and simulating biopathways. Applied Bioinformatics 2(3), 181–184 (2003)
Noble, D.: The rise of computational biology. Nature Reviews Molecular Cell Biology 3(6), 459–463 (2002)
Pinney, J.W., Westhead, D.R., McConkey, G.A.: Petri Net representations in systems biology. Biochem. Soc. Trans. 31, 1513–1515 (2003)
Ratzer, A.V., Wells, L., Lassen, H.M., Laursen, M., Qvortrup, J.F., Stissing, M.S., Westergaard, M., Christensen, S., Jensen, K.: CPN Tools for Editing, Simulating, and Analysing Coloured Petri Nets. In: van der Aalst, W.M.P., Best, E. (eds.) ICATPN 2003. LNCS, vol. 2679, pp. 450–462. Springer, Heidelberg (2003)
Reddy, V.N., Mavrovouniotis, M.L., Liebman, M.N.: Petri Net Representations in Metabolic Pathways. In: Proceedings of the 1st International Conference on Intelligent Systems for Molecular Biology, pp. 328–336. AAAI Press, Menlo Park (1993)
Regev, A., Panina, E.M., Silverman, W., Cardelli, L., Shapiro, E.: BioAmbients: an abstraction for biological compartments. Theoretical Computer Science 325(1), 141–167 (2004)
Regev, A., Silverman, W., Shapiro, E.: Representation and simulation of biochemical processes using the pi-calculus process algebra. In: Pac. Symp. Biocomput., vol. 459, p. 70 (2001)
Savageau, M.A., Voit, E.O.: Recasting nonlinear differential equations as S-systems: a canonical nonlinear form. Mathematical Biosciences 87(1), 83–115 (1987)
Shaw, O., Koelmans, A., Steggles, J., Wipat, A.: Applying Petri Nets to Systems Biology using XML Technologies. In: ATPN 2004 (2004)
Simao, E., Remy, E., Thieffry, D., Chaouiya, C.: Qualitative modelling of regulated metabolic pathways: application to the tryptophan biosynthesis in E. Coli. Bioinformatics 21(90002) (2005)
Starke, P.H.: INA: Integrated Net Analyzer. Reference Manual (1992)
Steggles, L.J., Banks, R., Wipat, A.: Modelling and Analysing Genetic Networks: From Boolean Networks to Petri Nets. In: Priami, C. (ed.) CMSB 2006. LNCS (LNBI), vol. 4210, pp. 127–141. Springer, Heidelberg (2006)
Stephanopoulos, G.: Metabolic engineering. Biotechnology and Bioengineering 58 (1998)
Tomita, M., Hashimoto, K., Takahashi, K., Shimizu, T.S., Matsuzaki, Y., Miyoshi, F., Saito, K., Tanida, S., Yugi, K., Venter, J.C., et al.: E-CELL: software environment for whole-cell simulation. Bioinformatics 15(1), 72–84 (1999)
Zevedei-Oancea, I., Schuster, S.: Topological analysis of metabolic networks based on Petri net theory. Silico Biology 3, 29 (2003)
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Machado, D., Costa, R.S., Rocha, M., Rocha, I., Tidor, B., Ferreira, E.C. (2009). A Critical Review on Modelling Formalisms and Simulation Tools in Computational Biosystems. In: Omatu, S., et al. Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living. IWANN 2009. Lecture Notes in Computer Science, vol 5518. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02481-8_161
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DOI: https://doi.org/10.1007/978-3-642-02481-8_161
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