Skip to main content

Mathematical Modeling of the Influence of RKIP on the ERK Signaling Pathway

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2602))

Abstract

This paper investigates the influence of the Raf Kinase In- hibitor Protein (RKIP) on the Extracellular signal Regulated Kinase (ERK) signaling pathway through mathematical modeling and simula- tion. Using nonlinear ordinary differential equations to represent bio- chemical reactions in the pathway, we suggest a technique for parameter estimation, utilizing time series data of proteins involved in the signal- ing pathway. The mathematical model allows the simulation the sensi- tivity of the ERK pathway to variations of initial RKIP and ERK-PP (phosphorylated ERK) concentrations along with time. Throughout the simulation study, we can qualitatively validate the proposed mathemati- cal model compared with experimental results.

Corresponding authors.

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

Buying options

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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Yeung, K., Janosch, P., Rose, D. W., Mischak, H., Sedivy, J. M., and Kolch, W.: Mechanism of Suppression of the Raf/MEK/Extracellular Signal-Regulated Kinase Pathway by the Raf Kinase Inhibitor Protein. MOL. CELL. BIOL. 20 (2000) 3079–3085

    Article  Google Scholar 

  2. Yeung, K, Seitz, T., Li, S., Janosch, P., McFerran, B., Kaiser, C., Fee, F., Kat-sanakis, K. D., Rose, D. W., Mischak, H., Sedivy, J. M., and Kolch, W.: Sup-pression of Raf-1 kinase activity and MAP kinase signaling By RKIP. Nature. 401 (1999) 173–177

    Article  Google Scholar 

  3. Bock, H. G.: Numerical treatment of inverse problems in chemical reaction kinetics. Modeling of Chemical Reaction Systems. 18 (1981) 102–125

    Google Scholar 

  4. Hegger, R., Kantz, H., Schmuser, F., Diestelhorst, M., Kapsch, R. P., and Beige, H.: Dynamical properties of a ferroelectric capccitor observed through nonlinear time series analysis. Chaos. 8 (1998) 727–736

    Article  MATH  Google Scholar 

  5. Hegger, R., Kantz, H., Schmuser, F., Diestelhorst, M., Kapsch, R. P., and Beige, H.: Dynamical properties of a ferroelectric capccitor observed through nonlinear time series analysis. Chaos. 8 (1998) 727–736

    Article  MATH  Google Scholar 

  6. Voit, E. O., Computational Analysis of Biochemical Systems, Cambridge Uni-versity Press: Cambridge, U.K., 2000

    Google Scholar 

  7. Marshall, C. J., Specificity of receptor tyrosine kinase signaling: transient ver-sus sustained extracellular signal-regulated kinase activation: Cell. 80 (1995) 179–185

    Google Scholar 

  8. Zhou, B., Wang, Z. X., Zhao, Y., Brautigan, D. L., and Zhang, Z. Y.:The speci-ficity of extracellular signal-regulated kinase 2 dephosphorylation by protein phosphotases. J Biol Chem. 277 (2002) 31818–31825

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kwang-Hyun, C., Sung-Young, S., Hyun-Woo, K., Wolkenhauer, O., McFerran, B., Kolch, W. (2003). Mathematical Modeling of the Influence of RKIP on the ERK Signaling Pathway. In: Priami, C. (eds) Computational Methods in Systems Biology. CMSB 2003. Lecture Notes in Computer Science, vol 2602. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36481-1_11

Download citation

  • DOI: https://doi.org/10.1007/3-540-36481-1_11

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00605-3

  • Online ISBN: 978-3-540-36481-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics