• DocumentCode
    3684091
  • Title

    Retroactivity analysis of a chemical reaction network module for the subtraction of molecular fluxes

  • Author

    Mariaconcetta Bilotta;Carlo Cosentino;Declan G. Bates;Luca Salerno;Francesco Amato

  • Author_Institution
    Dipartimento di Medicina Sperimentale e Clinica, Università
  • fYear
    2015
  • Firstpage
    941
  • Lastpage
    944
  • Abstract
    The availability of a well-characterised subtraction module is a key step towards the realisation of modular embedded feedback controllers in synthetic biological systems. A well-known problem when dealing with complex biosystems is represented by the retroactivity effect, which can significantly modify the dynamics of interconnected subsystem, with respect to the behaviour they exhibit when disconnected from each other. In this paper, we illustrate a minimal CRN that implements a subtraction operation between two input molecular fluxes. In order to assess its effectiveness as a module of a more complex system, we analyse its retroactivity upon interconnection. More specifically, we connect the subtraction module with an upstream module, which determines the dynamics of the inputs species, and with a downstream transcriptional module, which acts as a load. By comparing the dynamics of the loaded and unloaded subtractor, we show that the retroactivity can be attenuated when the dynamics of the subtractor and of the load system evolve over different timescales. This result, obtained through a singular perturbation analysis, is confirmed by means of numerical simulations.
  • Keywords
    "Chemicals","Perturbation methods","Synthetic biology","Feedback control","Mathematical model","Adaptive control"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7318518
  • Filename
    7318518