Skip to main content
SpringerLink
Log in
SpringerLink
Log in

Signaling Pathways, Modeling of

  • Living reference work entry
  • First Online:
Encyclopedia of Computational Neuroscience

  • 205 Accesses

Synonyms

Kinetic modeling

Definition

The use of models to study the dynamical behavior of a biological (sub)system described as a set of biochemical reactions and diffusion. Here, the evolution in time for quantities such as protein concentrations or amount of enzyme activation is typically described using ordinary differential equations. The evolution in time of second messengers is typically described using partial differential equations. Alternatively, stochastic methods can be used to determine evolution in time of all molecules in a simulation.

Detailed Description

The development of quantitative models at multiple spatial and temporal scales is necessary for integrating the knowledge obtained from diverse experimental approaches into a coherent picture. Such models represent current knowledge in a compact and standardized way and constitute a tool for guiding experiments and generating predictions.

Modeling of intracellular signaling within the field of computational neuroscience...

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

Access this chapter

Log in via an institution

Institutional subscriptions

References

  • Bhalla US, Iyengar R (1999) Emergent properties of networks of biological signaling pathways. Science 283(5400):381–387

    Article  CAS  PubMed  Google Scholar 

  • Briggs GE, Haldane JB (1925) A note on the kinetics of enzyme action. Biochem J 19:338–339

    CAS  PubMed Central  PubMed  Google Scholar 

  • Kotaleski JH, Blackwell KT (2010) Modelling the molecular mechanisms of synaptic plasticity using systems biology approaches. Nat Rev Neurosci 11:239–251

    Article  PubMed  Google Scholar 

  • Lund EW (1965) Guldberg and Waage and the law of mass action. J Chem Ed 42:548–550

    Article  CAS  Google Scholar 

  • Manninen T, Hituri K, Kotaleski JH, Blackwell KT, Linne ML (2010) Postsynaptic signal transduction models for long-term potentiation and depression. Front Comput Neurosci 4:152

    Article  PubMed Central  PubMed  Google Scholar 

  • Michaelis L, Menten ML (1913) Die Kinetik der Invertinwirkung. Biochem Z 49:333–369

    CAS  Google Scholar 

  • Ramakrishnan N, Bhalla US (2008) Memory switches in chemical reaction space. PLoS Comput Biol 4(7):e1000122

    Article  PubMed Central  PubMed  Google Scholar 

Further Reading

  • Cornish-Bowden A (2012) Fundamentals of enzyme kinetics, 4th edn. Wiley-Blackwell, Weinheim, ISBN 978-3-527-33074-4

    Google Scholar 

  • Johnson KA, Goody RS (2011) The original Michaelis constant: translation of the 1913 Michaelis-Menten paper. Biochemistry 50:8264–8269

    Article  CAS  PubMed Central  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Computer Science and Communication, KTH Royal Institute of Technology, Stockholm, 100 44, Sweden

    Jeanette Hellgren Kotaleski

Authors
  1. Jeanette Hellgren Kotaleski
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jeanette Hellgren Kotaleski .

Editor information

Editors and Affiliations

  1. Atlanta, Georgia, USA

    Dieter Jaeger

  2. Department of Biomedical Engineering, Florida International University, Miami, Florida, USA

    Ranu Jung

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media New York

About this entry

Cite this entry

Kotaleski, J. (2014). Signaling Pathways, Modeling of. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_195-1

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-7320-6_195-1

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4614-7320-6

  • eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences

Publish with us

Policies and ethics

Search

Navigation