Modelling and Stochastic Simulation of Synthetic Biological Boolean Gates
| Autor: | Marian Gheorghe, Daven Sanassy, Laurentiu Mierla, Harold Fellermann, Natalio Krasnogor, Savas Konur, Christophe Ladroue, Sara Kalvala |
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| Rok vydání: | 2014 |
| Předmět: |
0303 health sciences
Engineered genetic OR gate Theoretical computer science 010304 chemical physics Computer science Stochastic process Control engineering 01 natural sciences QA76 QH301 03 medical and health sciences Synthetic biology Logic gate 0103 physical sciences Stochastic simulation 030304 developmental biology Statistical hypothesis testing |
| Zdroj: | HPCC/CSS/ICESS |
| Popis: | 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.\ud |
| Databáze: | OpenAIRE |
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