Bulletin of Mathematical Biology

, Volume 77, Issue 5, pp 796–816 | Cite as

Bistability, Oscillations, and Traveling Waves in Frog Egg Extracts

  • John J. Tyson
  • Bela Novak
Original Article


Mathematical modeling is a powerful tool for unraveling the complexities of the molecular regulatory networks underlying all aspects of cell physiology. To support this claim, we review our experiences modeling the cyclin-dependent kinase (CDK) network that controls events of the eukaryotic cell cycle. The model was derived from classic experiments on the biochemistry and molecular genetics of CDKs and their partner proteins. Because the dynamical properties of CDK activity depend in large part on positive and negative feedback loops in the regulatory network, it is difficult to predict its behavior by intuitive reasoning alone. Mathematical modeling is the correct tool for reliably determining the properties of the network in comparison with observed properties of dividing cells and for predicting the behavior of the control system under novel conditions. In this review, we describe six unexpected predictions of our 1993 model of the CDK control system in frog egg extracts and the remarkable experiments, performed much later, that verified all six predictions. The dynamical properties of the CDK network are consequences of feedback signals and ultrasensitive responses of regulatory proteins to CDK activity, and we describe the experimental evidence for the predicted ultrasensitivity. This case study illustrates the novel insights that mathematical modeling, analysis, and simulation can provide cell physiologists, and it points the way to a new “dynamical perspective” on molecular cell biology.


Mathematical model Cell cycle control M-phase-promoting factor Bifurcation theory 



Preparation of this article was supported in part by the National Institutes of Health (USA) Grant 5R01 GM078989-08 to J.J.T. and by the European Community’s Seventh Framework Grant MitoSys/241548 to B.N.


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Copyright information

© Society for Mathematical Biology 2014

Authors and Affiliations

  1. 1.Department of Biological SciencesVirginia TechBlacksburgUSA
  2. 2.Centre for Integrative Systems BiologyOxford UniversityOxfordUK

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