Skip to main content

Toward a Representation of Hybrid Functional Petri Nets by MP Systems

  • Conference paper
Natural Computing

Abstract

In this work we analyse and compare Hybrid Functional Petri Nets [10], an extension of Petri Nets [12] for biopathways simulation, and Metabolic P Systems [8,9]. An introduction to both of them is given, together with highlights about respective similarities and differences for biopathways modelling. The case study of glycolytic pathway with the lac operon gene regulatory mechanism was modeled by traditional Petri Nets in [6] and recently by Hybrid Functional Petri Nets in [10,4]. This model is here mapped into an MP system having the same dynamics.

.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bianco, L., Fontana, F., Franco, G., Manca, V.: P Systems for Biological Dynamics. In: Ciobanu, G., et al. (eds.) Applications of Membrane Computing. Springer, Heidelberg (2006)

    Google Scholar 

  2. Bianco, L., Manca, V., Marchetti, L., Petterlini, M.: Psim: a Simulator for Biomolecular Dynamics Based on P Systems. In: IEEE Congress on Evolutionary Computation, September 25-28 (2007)

    Google Scholar 

  3. David, R., Alla, H.: On Hybrid Petri Nets. Discrete Event Dynamic Systems 11(1-2), 9–40 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  4. Doi, A., Fujita, S., Matsuno, H., Nagasaki, M., Miyano, S.: Constructing Biological Pathway Models with Hybrid Functional Petri Nets. In Silico Biology 4, 23 (2004)

    Google Scholar 

  5. Fontana, F., Manca, V.: Discrete Solution of Differential Equations by Metabolic P Systems. Theoretical Computer Science 372, 165–182 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  6. Hofestädt, R.: A Petri Net Application of Metabolic Processes. Journal of System Analysis, Modeling and Simulation 16, 113–122 (1994)

    MATH  Google Scholar 

  7. Manca, V.: Discrete Simulations of Biochemical Dynamics. In: Garzon, M., Yan, H. (eds.) Preliminary Proceedings of the 13th International Meeting on DNA Computing, Memphis, TN, June 4-8, University of Memphis (2007)

    Google Scholar 

  8. Manca, V.: The Metabolic Algorithm for P Systems: Principles and Applications. TCS 404(1-2), 142–155 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  9. Manca, V., Bianco, L.: Biological Networks in Metabolic P Systems. BioSystems 91(3), 489–498 (2008)

    Article  Google Scholar 

  10. Matsuno, H., Tanaka, Y., Aoshima, H., Doi, A., Matsui, M., Miyano, S.: Biopathways Representation and Simulation on Hybrid Functional Petri Net. In Silico Biology 3, 32 (2003)

    Google Scholar 

  11. Păun, G.: Membrane Computing. An Introduction. Springer, Berlin (2002)

    MATH  Google Scholar 

  12. Reisig, W.: Petri Nets: An Introduction. EATCS, Monographs on Theoretical Computer Science (1985)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer Tokyo

About this paper

Cite this paper

Castellini, A., Franco, G., Manca, V. (2009). Toward a Representation of Hybrid Functional Petri Nets by MP Systems. In: Suzuki, Y., Hagiya, M., Umeo, H., Adamatzky, A. (eds) Natural Computing. Proceedings in Information and Communications Technology, vol 1. Springer, Tokyo. https://doi.org/10.1007/978-4-431-88981-6_3

Download citation

  • DOI: https://doi.org/10.1007/978-4-431-88981-6_3

  • Publisher Name: Springer, Tokyo

  • Print ISBN: 978-4-431-88980-9

  • Online ISBN: 978-4-431-88981-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics