• DocumentCode
    651521
  • Title

    EDA inspired open-source framework for synthetic biology

  • Author

    Madec, Morgan ; Pecheux, Francois ; Gendrault, Yves ; Bauer, Lujo ; Haiech, Jacques ; Lallement, Christophe

  • Author_Institution
    Lab. des Sci. de l´Ingenieur, de l´Inf. et de l´Imagerie, Equipe Syst. et Microsystemes Heterogenes, Illkirch, France
  • fYear
    2013
  • fDate
    Oct. 31 2013-Nov. 2 2013
  • Firstpage
    374
  • Lastpage
    377
  • Abstract
    The topic of this paper is to develop an open-source framework to help bio-engineers through the different stages of a top-down design process for new artificial biosystems (synthetic biology). The presented tools address the upstream stages of the design, starting from a high-level behavioral description of the targeted biological function and ending with a working assembly of abstract BioBricks performing that very function. For that purpose, EDA (Electronic Design Automation) tools are indeed adapted to synthetic biology. The framework involves three main steps: the interpretation of the high-level description into a netlist of logical functions, the optimization of the netlist with respect to BioBricks capabilities and the automated generation of a SystemC-AMS abstracted simulatable netlist that can be used for further analysis (low-level simulation, optimization ...). Throughout the paper, each stage of the framework is detailed and illustrated with a simple (from a logical point of view) but complex (from the biological viewpoint) example: an in-vivo chemical species regulation system.
  • Keywords
    biomedical electronics; biomedical engineering; biomimetics; electronic design automation; optimisation; public domain software; EDA inspired open-source framework; abstract BioBricks database; artificial biosystems; bioengineers; electronic design automation tools; in-vivo chemical species regulation system; logical functions; low-level simulation; netlist optimization; synthetic biology; targeted biological function; top-down design process; Biological system modeling; Design automation; Libraries; Proteins; Synthesizers; Synthetic biology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference (BioCAS), 2013 IEEE
  • Conference_Location
    Rotterdam
  • Type

    conf

  • DOI
    10.1109/BioCAS.2013.6679717
  • Filename
    6679717