• DocumentCode
    1548495
  • Title

    Stability Analysis of the Ribosome Flow Model

  • Author

    Margaliot, Michael ; Tuller, Tamir

  • Author_Institution
    Sch. of Electr. Eng., Tel-Aviv Univ., Tel-Aviv, Israel
  • Volume
    9
  • Issue
    5
  • fYear
    2012
  • Firstpage
    1545
  • Lastpage
    1552
  • Abstract
    Gene translation is a central process in all living organisms. Developing a better understanding of this complex process may have ramifications to almost every biomedical discipline. Recently, Reuveni et al. proposed a new computational model of this process called the ribosome flow model (RFM). In this study, we show that the dynamical behavior of the RFM is relatively simple. There exists a unique equilibrium point e and every trajectory converges to e. Furthermore, convergence is monotone in the sense that the distance to e can never increase. This qualitative behavior is maintained for any feasible set of parameter values, suggesting that the RFM is highly robust. Our analysis is based on a contraction principle and the theory of monotone dynamical systems. These analysis tools may prove useful in studying other properties of the RFM as well as additional intracellular biological processes.
  • Keywords
    cellular biophysics; genetics; physiological models; RFM; biomedical discipline; computational model; contraction principle; dynamical behavior; equilibrium point; gene translation; intracellular biological process; living organisms; monotone dynamical systems; ribosome flow model; stability analysis; Biological system modeling; Computational modeling; Equations; Indexes; Mathematical model; Trajectory; Vectors; Gene translation; computational models; monotone dynamical systems; systems biology; tridiagonal cooperative systems.; Models, Biological; Models, Theoretical; Ribosomes;
  • fLanguage
    English
  • Journal_Title
    Computational Biology and Bioinformatics, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5963
  • Type

    jour

  • DOI
    10.1109/TCBB.2012.88
  • Filename
    6226352