• DocumentCode
    2254677
  • Title

    Modeling and control of the protein synthesis process in eukaryotic cells

  • Author

    Bar, Nadav S. ; Lale, Rahmi

  • Author_Institution
    Dept. of Chem. Eng., Norwegian Univ. of Sci. & Technol., Trondheim, Norway
  • fYear
    2008
  • fDate
    9-11 Dec. 2008
  • Firstpage
    179
  • Lastpage
    184
  • Abstract
    Protein synthesis is an essential process of cell cycle and growth in eukaryotic cells. The initiation stage of the translation process is known to be the most crucial in regulation of gene expression. This paper presents a reduced model of the initiation process using the eukaryotic initiation factor (eIF)-2 unit and proposes methods to control it. Linearization of the model is presented as a measure to simplify the analysis and the control applications. The properties of the linear model were investigated and compared to the nonlinear model. It was shown that the linear model is (marginally) stable and a linear controller was introduced to regulate the production level of protein. A nonlinear state feedback control was also applied in order to increase production of protein in a controlled manner. In both linear and nonlinear models, the rate of protein synthesis can be regulated using a specific factor as an intracellular input, and by means of measurement techniques available today. The density of the ribosomes on the mRNA can then be set to a desired level. If this strategy can be implemented de facto, then a genuine control on protein synthesis process can be obtained.
  • Keywords
    biocontrol; cellular biophysics; genetics; proteins; translational states; cell cycle; cell growth; eukaryotic cells; eukaryotic initiation factor; gene expression; protein synthesis process; translation process; Amino acids; Biotechnology; Chemical engineering; Chemical technology; Fungi; Gene expression; Process control; Production; Protein engineering; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
  • Conference_Location
    Cancun
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3123-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2008.4739378
  • Filename
    4739378