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Modelling and stochastic simulation of synthetic biological Boolean gates

Lookup NU author(s): Daven Sanassy, Dr Harold Fellermann, Professor Natalio Krasnogor

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Abstract

Synthetic Biology aspires to design, compose and engineer biological systems that implement specified behaviour. When designing such systems, hypothesis testing via computational modelling and simulation is vital in order to reduce the need of costly wet lab experiments. As a case study, we discuss the use of computational modelling and stochastic simulation for engineered genetic circuits that implement Boolean AND and OR gates that have been reported in the literature. We present performance analysis results for nine different state-of-the-art stochastic simulation algorithms and analyse the dynamic behaviour of the proposed gates. Stochastic simulations verify the desired functioning of the proposed gate designs.


Publication metadata

Author(s): Sanassy D, Fellermann H, Krasnogor N, Konur S, Mierla LM, Gheorghe M, Ladroue C, Kalvala S

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 2014 IEEE International Conference on High Performance Computing and Communications

Year of Conference: 2014

Pages: 404-408

Online publication date: 12/03/2015

Acceptance date: 01/01/1900

Publisher: IEEE

URL: http://dx.doi.org/10.1109/HPCC.2014.68

DOI: 10.1109/HPCC.2014.68

Library holdings: Search Newcastle University Library for this item

ISBN: 9781479961221


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