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|Title:||A case study in model-driven synthetic biology|
|Citation:||Biologically-Inspired Collaborative Computing. Volume 268 , pp. 163-175|
|Abstract:||We report on a case study in synthetic biology, demonstrating the modeldriven 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.|
|Appears in Collections:||Computer Science|
Dept of Computer Science Research Papers
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