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In Silico Implementation of Synthetic Gene Networks

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Synthetic Gene Networks

Part of the book series: Methods in Molecular Biology ((MIMB,volume 813))

Abstract

Computational synthetic biology has borrowed methods, concepts, and techniques from systems biology and electrical engineering. Features of tools for the analysis of biochemical networks and the design of electric circuits have been combined to develop new software, where Standard Biological Parts (physically stored at the MIT Registry) have a mathematical description, based on mass action or Hill kinetics, and can be assembled into genetic networks in a visual, “drag & drop” fashion. Recent tools provide the user with databases, simulation environments, formal languages, and even algorithms for circuit automatic design to refine and speed up gene network construction. Moreover, advances in automation of DNA assembly indicate that synthetic biology software soon will drive the wet-lab implementation of DNA sequences.

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Authors and Affiliations

  1. Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland

    Mario Andrea Marchisio

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  1. Mario Andrea Marchisio
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Correspondence to Mario Andrea Marchisio .

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  1. Inst. Biologie II, Zentrum für Biologische Signalstudien, Universität Freiburg, Stübeweg 51, Freiburg, 79108, Germany

    Wilfried Weber

  2. Dept. Ingenieurwissenschaften, Biosysteme (BSSE), ETH Zürich, Mattenstr. 26, Basel, 4058, Switzerland

    Martin Fussenegger

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Marchisio, M.A. (2012). In Silico Implementation of Synthetic Gene Networks. In: Weber, W., Fussenegger, M. (eds) Synthetic Gene Networks. Methods in Molecular Biology, vol 813. Humana Press. https://doi.org/10.1007/978-1-61779-412-4_1

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  • DOI: https://doi.org/10.1007/978-1-61779-412-4_1

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