Noise characteristics of molecular oscillations in simple genetic oscillatory systems

Byungjoon Min, K. I. Goh, I. M. Kim

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


We study the noise characteristics of stochastic oscillations in protein number dynamics of simple genetic oscillatory systems. Using the three-component negative feedback transcription regulatory system called the repressilator as a prototypical example, we quantify the degree of fluctuations in oscillation periods and amplitudes, as well as the noise propagation along the regulatory cascade in the stable oscillation regime via dynamic Monte Carlo simulations. For the single proteinspecies level, the fluctuation in the oscillation amplitudes is found to be larger than that of the oscillation periods, the distributions of which are reasonably described by the Weibull distribution and the Gaussian tail, respectively. Correlations between successive periods and between successive amplitudes, respectively, are measured to assess the noise propagation properties, which are found to decay faster for the amplitude than for the period. The local fluctuation property is also studied.

Original languageEnglish
Pages (from-to)911-917
Number of pages7
JournalJournal of the Korean Physical Society
Issue number3
Publication statusPublished - 2010 Mar 15


  • Dynamic monte carlo
  • Genetic network
  • Noise propagation
  • Stochastic oscillation

ASJC Scopus subject areas

  • General Physics and Astronomy


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