Skip to main content

Modeling Signal Transduction Using P Systems

  • Conference paper
Membrane Computing (WMC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4361))

Included in the following conference series:

Abstract

Cellular signalling pathways are fundamental to the control and regulation of cell behavior. Understanding of biosignalling network functions is crucial to the study of different diseases and to the design of effective therapies. In this paper we present P systems as a feasible computational modeling tool for cellular signalling pathways that takes into consideration the discrete character of the components of the system and the key role played by membranes in their functioning. We illustrate these cellular models simulating the epidermal growth factor receptor (EGFR) signalling cascade and the FAS–induced apoptosis using a deterministic strategy for the evolution of P systems.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Alimonti, J.B., Ball, T.B., Fowke, K.R.: Mechanisms of CD4+ T lymphocyte cell death in human immunodeficiency virus infection and AIDS. Journal of General Virology 84, 1649–1661 (2003)

    Article  Google Scholar 

  2. Bhalla, U.S., Iyengar, R.: Emergent properties of networks of biological signaling pathways. Science 283, 381–387 (1999)

    Article  Google Scholar 

  3. Blossey, R., Cardelli, L., Phillips, A.: A compositional approach to the stochastic dynamics of gene networks. In: Priami, C., Cardelli, L., Emmott, S. (eds.) Transactions on Computational Systems Biology IV. LNCS (LNBI), vol. 3939, pp. 99–122. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  4. Cheng, E.H., Wei, M.C., Weiler, S., Flavell, R.A., Mak, T.W., Lindsten, T., Korsmeyer, S.J.: BCL-2, BCL-XL sequester BH3 domain-only molecules preventing BAX- and BAK-mediated mitochondrial apoptosis. Molecular Cell 8, 705–711 (2001)

    Article  Google Scholar 

  5. Cheruku, S., Păun, A., Romero, F.J., Pérez–Jiménez, M.J., Ibarra, O.H.: Simulating FAS–induced apoptosis by using P systems. In: Proceedings of the First International Conference on Bio–Inspired Computing: Theory and Applications, Wuhan, China, September 18-22 (2006)

    Google Scholar 

  6. Hua, F., Cornejo, M., Cardone, M., Stokes, C., Lauffenburger, D.: Effects of Bcl-2 levels on FAS signaling-induced caspase-3 activation: Molecular genetic tests of computational model predictions. The Journal of Immunology 175(2), 985–995 (2005); correction 175(9), 6235–6237 (2005)

    Google Scholar 

  7. Ibarra, O.H., Păun, A.: Counting time in computing with cells. In: Proceedings of DNA Based Computing, DNA11, London, Ontario, pp. 25–36 (2005)

    Google Scholar 

  8. Kerr, J.F., Wyllie, A.H., Currie, A.R.: Apoptosis: a basic biological phenomenon with wide-ranging implications in tissue kinetics. British Journal Cancer 26, 239 (1972)

    Article  Google Scholar 

  9. Pogson, M., Smallwood, R., Qwarnstrom, E.: Holcombe, Formal agent–based of intracellular chemical interactions. BioSystems 85(1), 37–45 (2006)

    Article  Google Scholar 

  10. Holcombe, M., Gheorghe, M., Talbot, N.: A hybrid machine model of rice blast fungus, Magnaphorte Grisea. BioSystems 68(2-3), 223–228 (2003)

    Article  Google Scholar 

  11. Jaatela, M.: Multiple cell death pathways as regulators of tumour initiation and progression. Oncogene 23, 2746–2756 (2004)

    Article  Google Scholar 

  12. Jackson, D., Holcombe, M., Ratnieks, F.: Trail geometry gives polarity to ant foraging networks. Nature 432, 907–909 (2004)

    Article  Google Scholar 

  13. Moehren, G., Markevich, N., Demin, O., Kiyatkin, A., Goryanin, I., Hoek, J.B., Kholodenko, B.N.: Temperature dependence of the epidermal growth factor receptor signaling network can be accounted for by a kinetic model. Biochemistry 41, 306–320 (2002)

    Article  Google Scholar 

  14. Moghal, N., Sternberg, P.W.: Multiple positive and negative regulators of signaling by the EGFR receptor. Curr. Opin. Cell Biology 11, 190–196 (1999)

    Article  Google Scholar 

  15. Nijhawan, D., Honarpour, N., Wang, X.: Apotosis in neural development and disease. Annual Reviews Neuroscience 23, 73–87 (2000)

    Article  Google Scholar 

  16. Oltavi, Z.N., Milliman, C.L., Korsmeyer, S.J.: Bcl-2 heterodimerizes in vivo with a conserved homolog, Bax, that accelerates programmed cell death. Cell 74(4), 609–619 (1993)

    Article  Google Scholar 

  17. Păun, G.: Computing with membranes. Journal of Computer and System Sciences 61(1), 108–143 (2000); Turku Center for Computer Science-TUCS Report Nr. 208 (1998)

    Google Scholar 

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

    MATH  Google Scholar 

  19. Păun, G., Rozenberg, G.: A guide to membrane computing. Theoretical Computer Science 287, 73–100 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  20. Jesús Pérez-Jímenez, M., Romero-Campero, F.J.: P systems, a new computational modelling tool for systems biology. In: Priami, C., Plotkin, G. (eds.) Transactions on Computational Systems Biology VI. LNCS (LNBI), vol. 4220, pp. 176–197. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  21. Jesús Pérez-Jímenez, M., Romero-Campero, F.J.: A study of the robustness of the EGFR signalling cascade using continuous membrane systems. In: Mira, J., Álvarez, J.R. (eds.) IWINAC 2005. LNCS, vol. 3561, pp. 268–278. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  22. Regev, A., Shapiro, E.: The π-calculus as an abstraction for biomolecular systems. In: Ciobanu, G., Rozenberg, G. (eds.) Modelling in Molecular Biology. Springer, Berlin (2004)

    Google Scholar 

  23. Scaffidi, C., Fulda, S., Srinivasan, A., Friesen, C., Li, F., Tomaselli, K.J., Debatin, K.M., Krammer, P.H., Peter, M.E.: Two CD95 (APO-1/Fas) signaling pathways. The Embo Journal 17, 1675–1687 (1998)

    Article  Google Scholar 

  24. Schoeberl, B., Eichler–Jonsson, C., Gilles, E.D., Muller, G.: Computational modeling of the dynamics of the MAP kinase cascade activated by surface and internalized EGF receptors. Nature Biotechnology 20(4), 370–375 (2002)

    Article  Google Scholar 

  25. Van Kampen, N.G.: Stochastics Processes in Physics and Chemistry. Elsevier Science B.V., Amsterdam (1992)

    Google Scholar 

  26. Walker, D.C., Southgate, J., Hill, G., Holcombe, M., Hose, D.R., Wood, S.M., MacNeil, S., Smallwood, R.H.: The epitheliome: modelling the social behaviour of cells. BioSystems 76(1-3), 89–100 (2004)

    Article  Google Scholar 

  27. Wang, K., Yin, X.M., Chao, D.T., Milliman, C.L., Korsmeyer, S.J.: BID: a novel BH3 domain-only death agonist. Genes & Development 10, 2859–2869 (1996)

    Article  Google Scholar 

  28. Wells, A.: EGFR–receptor. Int. Journal Biochem. Cell Biology 31, 637–643 (1999)

    Article  Google Scholar 

  29. Wiley, H.S., Shvartsman, S.Y., Lauffenburger, D.A.: Computational modeling of the EGFR–receptor system: A paradigm for systems biology. Trends in Cell Biology 13(1), 43–50 (2003)

    Article  Google Scholar 

  30. ISI web page: http://esi-topics.com/erf/october2003.html

  31. SciLab Web Site: http://scilabsoft.inria.fr/

  32. P Systems Modelling Framework Web Site: http://www.dcs.shef.ac.uk/~marian/PSimulatorWeb/P_Systems_applications.htm

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Păun, A., Pérez-Jiménez, M.J., Romero-Campero, F.J. (2006). Modeling Signal Transduction Using P Systems. In: Hoogeboom, H.J., Păun, G., Rozenberg, G., Salomaa, A. (eds) Membrane Computing. WMC 2006. Lecture Notes in Computer Science, vol 4361. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11963516_7

Download citation

  • DOI: https://doi.org/10.1007/11963516_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69088-7

  • Online ISBN: 978-3-540-69090-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics