Skip to main content

Modeling Gene Regulatory Network in Fission Yeast Cell Cycle Using Hybrid Petri Nets

  • Conference paper
Neural Information Processing (ICONIP 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3316))

Included in the following conference series:

Abstract

The complexity of models of gene regulatory network stems from the fact that such models are required to represent continuous, discrete, as well as stochastic aspects of gene regulation. Hybrid stochastic Petri nets as models can fairly incorporate all these aspects while keeping the model as simple as possible. This paper constructs an hybrid Petri net model of the fission yeast cell cycle regulation mechanism. Based on our simulation of the Petri net on an existing tool, we draw some conclusions about the regulation mechanism under study. We discuss the kinds of biologically significant questions that can be answered using hybrid Petri nets as models for genetic regulatory mechanisms.

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. Alla, H., Dravid, R.: Continuous and hybrid Petri nets. Journal of Circuits, Systems and Computers 8, 159–188 (1998)

    Article  MathSciNet  Google Scholar 

  2. Tyson, J.J.: Modeling the cell division cycle: cdc2 and cyclin interactions. Proceedings of North Atlantic Academic Science 88, 7328–7332 (1991)

    Google Scholar 

  3. Kauffman, S.A.: Gene Regulatory Networks: A theory for their global structure and behaviours. Currents Topics in Developmental Biology, vol. 6, pp. 145–182. Academic Press, New York

    Google Scholar 

  4. Matsuno, H., Doi, A., Nagasaki, M., Miyano, S.: Hybrid Petri Net Representation of Gene Regulatory Network. In: Proceeding Pacific Symposium on Biocomputing, pp. 338–349 (2000)

    Google Scholar 

  5. Matsuno, T.Y., Aoshima, H., Doi, A., Matsui, M., Miyano, S.: Bio-pathways representation and simulation on hybrid functional Petri net. Silico Biology 3(3), 389–404 (2003)

    Google Scholar 

  6. Sveiczer, A., Tyson, J.J., Novak, B.: A stochastic model of the fission yeast cell cycle. ACH-Models Chem. 133, 299–311 (1996)

    Google Scholar 

  7. Tyson, J.J., Csikasz-Nagy, A., Novak, B.: The dynamics of Cell Cycle Regulation. BioEssays 24, 1095–1109 (2002)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Vasireddy, R., Biswas, S. (2004). Modeling Gene Regulatory Network in Fission Yeast Cell Cycle Using Hybrid Petri Nets. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds) Neural Information Processing. ICONIP 2004. Lecture Notes in Computer Science, vol 3316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30499-9_204

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30499-9_204

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23931-4

  • Online ISBN: 978-3-540-30499-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics