bruggeman2

v_1

v_1

S = x1

v_2

v_2

x1 = x2

v_3

v_3

x2 = x3

v_4

x3 = P

v_5

v_5

mRsource = mR

v_6

mR = mRsink

v_7

v_7

esource = e

v_8

e = esink

Global parameters

Note that constraints are not enforced in simulations. It remains the responsibility of the user to verify that simulation results satisfy these constraints.


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Time-dependent hierarchical regulation analysis: deciphering cellular adaptation.

  • Frank J Bruggeman
  • J de Haan
  • H Hardin
  • J Bouwman
  • S Rossell
  • Karen van Eunen
  • Barbara M Bakker
  • Hans V Westerhoff
Syst Biol (Stevenage) 2006; 153 (5): 318-322
Abstract
Cells adapt to changes in their environment by the concerted action of many different regulatory mechanisms. Examples of such mechanisms are feedback inhibition by intermediates of metabolism, covalent modification of enzymes and changes in the abundance of mRNAs and proteins. These mechanisms act in parallel at different levels in the cellular hierarchy while regulating a single process. Existing hierarchical regulation analysis determines the relative importance of these mechanisms when the cell regulates a transition from one steady-state to another. Here, the analysis is extended to the regulation of time-dependent phenomena, for which two methods are introduced and illustrated with a kinetic model incorporating transcription and translation of metabolic enzymes.

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