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Visual Programming for Modeling and Simulation of Biomolecular Regulatory Networks

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High Performance Computing — HiPC 2002 (HiPC 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2552))

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Abstract

In this paper we introduce our new tool BIOSKETCHPAD that allows visual progamming and modeling of biological regulatory networks. The tool allows biologists to create dynamic models of networks using a menu of icons, arrows, and pop-up menus, and translates the input model into CHARON, a modeling language for modular design of interacting multi-agent hybrid systems. Hybrid systems are systems that are characterized by continuous as well as discrete dynamics. Once a CHARON model of the underlying system is generated, we are able to exploit the various analysis capabilities of the CHARON toolkit, including simulation and reachability analysis. We illustrate the advantages of this approach using a case study concerning the regulation of bioluminescence in a marine bacterium.

This research was supported in part by NSF grants CDS-97-03220 and EIA-01-30797, and DARPA grant F30602-01-2-0563.

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References

  1. R. Alur, T. Dang, J. Esposito, R. Fierro, Y. Hur, F. Ivančić, V. Kumar, I. Lee, P. Mishra, G. Pappas, and O. Sokolsky. Hierarchical hybrid modeling of embedded systems. In Embedded Software, First Intern. Workshop, LNCS 2211. 2001. 703, 704

    Google Scholar 

  2. R. Alur, T. Dang, and F. Ivančić. Reachability analysis of hybrid systems via predicate abstraction. In Hybrid Systems: Computation and Control, Fifth International Workshop, LNCS 2289, pages 35–48. Springer-Verlag, March 2002. 711

    Chapter  Google Scholar 

  3. R. Alur, T. Henzinger, G. Lafferriere, and G. Pappas. Discrete abstractions of hybrid systems. Proceedings of the IEEE, 88(7):971–984, July 2000. 711

    Article  Google Scholar 

  4. C. Belta, L. Habets, and V. Kumar. Control of multi-affine systems on rectangles with applications to hybrid biomolecular networks. CDC 2002, Dec. 2002. 711

    Google Scholar 

  5. G. Booch, I. Jacobson, and J. Rumbaugh. Unified Modeling Language User Guide. Addison Wesley, 1997. 704

    Google Scholar 

  6. M. Elowitz and S. Leibler. Asynthetic oscillatory network of transciptional regulators. Nature, 403:335–338, January 2000. 702

    Google Scholar 

  7. J. Esposito and V. Kumar. Efficient dynamic simulation of robotic systems with hierarchy. In Intl. Conf. on Robotics and Automation, pages 2818–2823, 2001. 710

    Google Scholar 

  8. J. Esposito, V. Kumar, and G. Pappas. Accurate event detection for simulating hybrid systems. In Hybrid Systems: Computation and Control, LNCS 2034, 2001. 710

    Chapter  Google Scholar 

  9. R. Ghosh and C. J. Tomlin. Lateral inhibition through delta-notch signaling: A piecewise affine hybrid model. In HSCC, Rome, Italy, Mar 28–30 2001. 703

    Google Scholar 

  10. S. Graf and H. Saidi. Construction of abstract state graphs with PVS. In Proc. 9th Intl. Conf. on Computer Aided Verification, LNCS 1254, 1997. 711

    Google Scholar 

  11. D. Harel. Statecharts: A visual formalism for complex systems. Science of Computer Programming, 8:231–274, 1987. 704

    Article  MATH  MathSciNet  Google Scholar 

  12. L.H. Hartwell, J. J. Hopfield, S. Leibler, and A.W. Murray. From molecular to modular cellbiology. Nature, 402((6761 Suppl)):C47-52, December 1999. 702

    Google Scholar 

  13. C.A.R. Hoare. Communicating Sequential Processes. Prentice-Hall, 1985. 704

    Google Scholar 

  14. B. Lewin. Genes VII. Oxford University Press, 2000. 703

    Google Scholar 

  15. P. Mendes and D. B. Kell. Non-linear optimization of biochemical pathways: applications to metabolic engineering and parameter estimation. Bioinformatics, 10:869–883, 1998. 702

    Article  Google Scholar 

  16. M. Ptashne. A Genetic Switch: Phage λ and Higher Organisms. Cell Press and Blackwell Science, 1992. 703

    Google Scholar 

  17. J. C. Venter et al. The sequence of the human genome. Science, 291(5507): 1304–51, 2001. 702

    Article  Google Scholar 

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Alur, R. et al. (2002). Visual Programming for Modeling and Simulation of Biomolecular Regulatory Networks. In: Sahni, S., Prasanna, V.K., Shukla, U. (eds) High Performance Computing — HiPC 2002. HiPC 2002. Lecture Notes in Computer Science, vol 2552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36265-7_67

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  • DOI: https://doi.org/10.1007/3-540-36265-7_67

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  • Print ISBN: 978-3-540-00303-8

  • Online ISBN: 978-3-540-36265-4

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