A case study in model-driven synthetic biology

Gilbert, D., Heiner, M., Rosser, S., Fulton, R., Gu, X. and Trybilo, M. (2008) A case study in model-driven synthetic biology. International Federation for Information Processing, 268 (B, pp. 163-175. (doi: 10.1007/978-0-387-09655-1_15)

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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.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Rosser, Professor Susan and Macisaac, Dr Rachael and Gilbert, Prof David
Authors: Gilbert, D., Heiner, M., Rosser, S., Fulton, R., Gu, X., and Trybilo, M.
College/School:College of Medical Veterinary and Life Sciences > School of Molecular Biosciences
College of Science and Engineering > School of Computing Science
Journal Name:International Federation for Information Processing

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