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An Automated Translation from a Narrative Language for Biological Modelling into Process Algebra

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Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 4695))

Abstract

The aim of this work is twofold. First, we propose an high level textual modelling language, which is meant to be biologically intuitive and hence easily usable by life scientists in modelling intra-cellular systems. Secondly, we provide an automatic translation of the proposed language into Beta-binders, a bio-inspired process calculus, which allows life scientists to formally analyse and simulate their models. We use the Gp130 signalling pathway as a case study.

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References

  1. Milner, R.: Communication and Concurrency. Prentice-Hall, Englewood Cliffs (1989)

    MATH  Google Scholar 

  2. Priami, C., Regev, A., Silverman, W., Shapiro, E.: Application of a stochastic name-passing calculus to representation and simulation of molecular processes. Information Processing Letters 80(1), 25–31 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  3. Phillips, A., Cardelli, L.: A Correct Abstract Machine for the Stochastic Pi-calculus. In: BioConcur 2004, Workshop on Concurrent Models in Molecular Biology (2004)

    Google Scholar 

  4. Priami, C., Quaglia, P.: Operational patterns in Beta-binders. Transactions on Computational Systems Biology 1, 50–65 (2005)

    Article  MathSciNet  Google Scholar 

  5. Calder, M., Gilmore, S., Hillston, J.: Modelling the Influence of RKIP on the ERK Signalling Pathway Using the Stochastic Process Algebra PEPA. T. Comp. Sys. Biology 7, 1–23 (2006)

    MathSciNet  Google Scholar 

  6. Kwiatkowska, M., Norman, G., Parker, D., Tymchyshyn, O., Heath, J., Gaffney, E.: Simulation and verification for computational modelling of signalling pathways. In: Proc. Winter Simulation Conference, Omnipress, pp. 1666–1675 (2006)

    Google Scholar 

  7. Kholodenko, B.: Cell signalling dynamics in time and space. Nature Reviews Molecular Cell Biology 7(3), 165–176 (2006)

    Article  Google Scholar 

  8. Kohn, K.: Molecular Interaction Map of the Mammalian Cell Cycle Control and DNA Repair Systems. Molecular Biology of the Cell 10, 2703–2734 (1999)

    Google Scholar 

  9. Kitano, H.: A graphical notation for biochemical networks. Biosilico 1(5), 169–176 (2003)

    Article  Google Scholar 

  10. Romanel, A., Dematté, L., Priami, C.: The Beta Workbench. Technical Report TR-03-2007. Technical report, The Microsoft Research - University of Trento Centre for Computational and Systems Biology (2007)

    Google Scholar 

  11. Hucka, M., Finney, A., Sauro, H., Bolouri, H., Doyle, J., Kitano, H.: The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models. Bioinformatics 19, 524–531 (2003)

    Article  Google Scholar 

  12. Underhill-Day, N., Heath, J.: Oncostatin M (OSM) Cytostasis of Breast Tumor Cells: Characterization of an OSM Receptor β-Specific Kernel. Cancer Research 66(22), 10891–10901 (2006)

    Article  Google Scholar 

  13. Alberts, B., Johnson, A., Lewis, J., Raff, M., Roberts, K., Walter, P.: Molecular biology of the cell. Garland Science (2002)

    Google Scholar 

  14. Cardelli, L.: On Process Rate Semantics (2007), available at http://lucacardelli.name/Papers/On%20Process%20Rate%20Semantics.pdf

  15. Ciocchetta, F., Priami, C.: Beta-binders with Biological Transactions. Technical Report TR-10-2006. Technical report, The Microsoft Research - University of Trento Centre for Computational and Systems Biology (2006)

    Google Scholar 

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Muffy Calder Stephen Gilmore

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© 2007 Springer-Verlag Berlin Heidelberg

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Guerriero, M.L., Heath, J.K., Priami, C. (2007). An Automated Translation from a Narrative Language for Biological Modelling into Process Algebra. In: Calder, M., Gilmore, S. (eds) Computational Methods in Systems Biology. CMSB 2007. Lecture Notes in Computer Science(), vol 4695. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75140-3_10

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  • DOI: https://doi.org/10.1007/978-3-540-75140-3_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-75139-7

  • Online ISBN: 978-3-540-75140-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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