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Bridging the Gap Between Design and Reality: A Dual Evolutionary Strategy for the Design of Synthetic Genetic Circuits

Lookup NU author(s): Dr Jennifer Hallinan, Sungshic Park, Professor Anil Wipat


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Computational design is essential to the field of synthetic biology, particularly as its practitioners become more ambitious, and system designs become larger and more complex. However, computational models derived from abstract designs are unlikely to behave in the same way as organisms engineered from those same designs. We propose an automated, iterative strategy involving evolution both in silico and in vivo, with feedback between strands as necessary, combined with automated reasoning. This system can help bridge the gap between the behaviour of computational models and that of engineered organisms in as rapid and cost-effective a manner as possible.

Publication metadata

Author(s): Hallinan JS, Park S, Wipat A

Editor(s): Correia, C., Fred, A., Gamboa, H., Schier, J.

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: BioInformatics: International Conference on Bioinformatics Models, Methods and Algorithms

Year of Conference: 2012

Pages: 263-268

Publisher: ScitePress

DOI: 10.5220/0003887002630268

Library holdings: Search Newcastle University Library for this item

ISBN: 9789898425904