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Lookup NU author(s): Daven Sanassy,
Dr Harold Fellermann,
Professor Natalio KrasnogorORCiD
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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.
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
Online publication date: 12/03/2015
Acceptance date: 01/01/1900
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