Extracellular signal-regulated kinase (ERK)

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Description of the model

According to the topology which is found as most likely by Xu et al (2010)[1] a kinetic model is created. Literature data is used to estimate the parameter values and their uncertainty.
This results in a probablitiy distribution for each parameter. According to these distributions samples were drawn and for each parameter composition a steady state analysis was performed. The results are steady state concentrations with a specific uncertainty.

For more information about previous applications for this kind of uncertainty modelling please refer to the publications listed here.


We ended up in two different models:

In one (non-modified model) only one reaction kinetic differs from Xu et al. (2010)[1], the Sos-Activation (purple reaction) and is assumed be a binding process rather than enzyme catalysed. Furthermore we modelled the ERK-Activation as two step reaction, with the monophosphorylated ERK as intermediate.

In the other one (modified model) further kinetics were changed in addition to these modifications (marked in red). So are the activation of EPAC and PKA by an agonist modelled as binding, C3G-Activation is modelled in two steps, first a binding to the receptor than a phosphorylation, and the Ras-Activation process is splitted in its elementary reactions, and their kinetics are therefore mass action.
The differentiation in two different models is made to gain one model which is as close as possible to Xu et al. (2010)[1] and another one, in which the reaction mechanism resemble the published one and therefore more measured parameter are available.


The network topology is shown in the graph besides.
Click on a reaction to have more information about it.

C3G-ActivationEGF-BindingSos-BindingSos-RemovalSos-RemovalSos-RemovalSos-RemovalERK-InactivationERK-InactivationERK-ActivationERK-ActivationMEK-InactivationRaf1-InactivationC3G-InactivationMEK-Activation(BRaf)MEK-Activation(Raf1)BRaf-InactivationBRaf-Activation(Ras)BRaf-Activation(Rap1)Raf1-ActivationRas-ActivationRas-Inactivation(GAP)Rap1-InactivationRap1-ActivationRap1-ActivationEPAC-Activation(EPACA)PKA-Activation(PKA)EPAC-Activation(Cilostamide)PKA-Activation(Cilostamide)EPAC-InactivationPKA-InactivationRaf1-RemovalL MAPK SignallingNetwork.png
About this image

Reactions

Model File

Equilibrium constants

Equilibrium constants

Parameter Overview

Parameter Overview

Previous Publications about uncertainty modelling

  • Achcar, F., Kerkhoven, E., Bakker, B., Barrett, M. & Breitling, R (2012). "Dynamic modelling under uncertainty: The case of Trypanosoma brucei energy metabolism." PLoS Computational Biology, 8(1):e1002352 pmid:22379410
  • Breitling R, Achcar F, Takano E. (2013) "Modeling challenges in the synthetic biology of secondary metabolism." ACS Synth Biol., 2(7):373-8. doi: 10.1021/sb4000228 pmid:23659212
  • Achcar F, Barrett MP, Breitling R. (2013) "Explicit consideration of topological and parameter uncertainty gives new insights into a well-established model of glycolysis." FEBS J. 280(18):4640-51 pmid:23865459
  • Kerkhoven EJ, Achcar F, Alibu VP, Burchmore RJ, Gilbert IH, Trybiło M, Driessen NN, Gilbert D, Breitling R, Bakker BM, Barrett MP. (2013) "Handling uncertainty in dynamic models: the pentose phosphate pathway in Trypanosoma brucei." PLoS Comput Biol. 9(12):e1003371. pmid:24339766

References

  1. ↑ 1.0 1.1 1.2 Tian-Rui Xu et al. (2010) "Inferring signaling pathway topologies from multiple perturbation measurements of specific biochemical species." Sci Signal. 3(134):ra20. (pmid:20234003)
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