A Case Study in Model-driven Synthetic Biology

  • David Gilbert
  • Monika Heiner
  • Susan Rosser
  • Rachael Fulton
  • Xu Gu
  • Maciej Trybilo
Part of the IFIP – The International Federation for Information Processing book series (IFIPAICT, volume 268)

Abstract

We report on a case study in synthetic biology, demonstrating the model-driven design of a self-powering electrochemical biosensor. An essential result of the design process is a general template of a biosensor, which can be instantiated to be adapted to specific pollutants. This template represents a gene expression network extended by metabolic activity. We illustrate the model-based analysis of this template using qualitative, stochastic and continuous Petri nets and related analysis techniques, contributing to a reliable and robust design.

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Copyright information

© International Federation for Information Processing 2008

Authors and Affiliations

  • David Gilbert
    • 1
  • Monika Heiner
    • 2
  • Susan Rosser
    • 3
  • Rachael Fulton
    • 1
  • Xu Gu
    • 1
  • Maciej Trybilo
    • 1
  1. 1.Bioinformatics Research CentreUniversity of GlasgowGlasgowScotland, UK
  2. 2.Department of Computer ScienceBrandenburg University of TechnologyCottbusGermany
  3. 3.Institute of Biomedical and Life SciencesUniversity of GlasgowGlasgowUK

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