Literature DB >> 731136

Periodic metabolic systems: oscillations in multiple-loop negative feedback biochemical control networks.

A I Mees, P E Rapp.   

Abstract

For a general multiple loop feedback inhibition system in which the end product can inhibit any or all of the intermediate reactions it is shown that biologically significant behaviour is always confined to a bounded region of reaction space containing a unique equilibrium. By explicit construction of a Liapunov function for the general n dimensional differential equation it is shown that some values of reaction parameters cause the concentration vector to approach the equilibrium asymptotically for all physically realizable initial conditions. As the parameter values change, periodic solutions can appear within the bounded region. Some information about these periodic solutions can be obtained from the Hopf bifurcation theorem. Alternatively, if specific parameter values are known a numerical method can be used to find periodic solutions and determine their stability by locating a zero of the displacement map. The single loop Goodwin oscillator is analysed in detail. The methods are then used to treat an oscillator with two feedback loops and it is found that oscillations are possible even if both Hill coefficients are equal to one.

Mesh:

Year:  1978        PMID: 731136     DOI: 10.1007/bf00275893

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  9 in total

1.  The qualitative dynamics of a class of biochemical control circuits.

Authors:  H G Othmer
Journal:  J Math Biol       Date:  1976-04-29       Impact factor: 2.259

Review 2.  Oscillations in calcium-cyclic AMP control loops form the basis of pacemaker activity and other high frequency biological rhythms.

Authors:  P E Rapp; M J Berridge
Journal:  J Theor Biol       Date:  1977-06-07       Impact factor: 2.691

3.  Birfurcation theory applied to a simple model of a biochemical oscillator.

Authors:  N MacDonald
Journal:  J Theor Biol       Date:  1977-04-21       Impact factor: 2.691

4.  A feedback model for biological rhythms. I. Mathematical description and basic properties of the model.

Authors:  A Johnsson; H G Karlsson
Journal:  J Theor Biol       Date:  1972-07       Impact factor: 2.691

5.  A feedback model for biological rhythms. II. Comparisons with experimental results, especially on the petal rhythm of Kalanchoë.

Authors:  H G Karlsson; A Johnsson
Journal:  J Theor Biol       Date:  1972-07       Impact factor: 2.691

6.  Populations of biochemical oscillators as circadian clocks.

Authors:  T Pavlidis
Journal:  J Theor Biol       Date:  1971-11       Impact factor: 2.691

7.  Computer simulation of granulopoiesis: normal and impaired granulopoiesis.

Authors:  E A King-Smith; A Morley
Journal:  Blood       Date:  1970-08       Impact factor: 22.113

8.  The absolute stability of certain types of controlled biological systems.

Authors:  C Walter
Journal:  J Theor Biol       Date:  1969-04       Impact factor: 2.691

9.  Cyclic variation of potassium conductance in a burst-generating neurone in Aplysia.

Authors:  D Junge; C L Stephens
Journal:  J Physiol       Date:  1973-11       Impact factor: 5.182

  9 in total
  6 in total

1.  The impact of time delays on the robustness of biological oscillators and the effect of bifurcations on the inverse problem.

Authors:  Nicole Radde
Journal:  EURASIP J Bioinform Syst Biol       Date:  2008-11-19

2.  Quantitative analysis of the Hopf bifurcation in the Goodwin n-dimensional metabolic control system.

Authors:  S Invernizzi; G Treu
Journal:  J Math Biol       Date:  1991       Impact factor: 2.259

3.  Parameter-dependent transitions and the optimal control of dynamical diseases.

Authors:  P E Rapp; R A Latta; A I Mees
Journal:  Bull Math Biol       Date:  1988       Impact factor: 1.758

4.  On the stability of equilibria in metabolic feedback systems.

Authors:  C Berding; G Haubs
Journal:  J Math Biol       Date:  1985       Impact factor: 2.259

5.  Chaotic phenomena.

Authors:  P E Kloeden; A I Mees
Journal:  Bull Math Biol       Date:  1985       Impact factor: 1.758

6.  Stability of Ensemble Models Predicts Productivity of Enzymatic Systems.

Authors:  Matthew K Theisen; Jimmy G Lafontaine Rivera; James C Liao
Journal:  PLoS Comput Biol       Date:  2016-03-10       Impact factor: 4.475

  6 in total

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