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+ | <p>Synthetic biology is commonly defined as the application of engineering design principles to biology in order to develop valuable methods and tools that benefit society and the world.<sup>1</sup> Teams pursuing such endeavours engage in the systematic forward-engineering of biological systems to effectively design systems that take into consideration physical, commercial and technological feasibility.</p> | ||
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+ | <p>The UNSW iGEM team strived to follow suit, utilising literature and advice to appropriately follow an engineering design procedure.<sup>2</sup> Given that design is the first stage of the “Design-Build-Test” paradigm it was important that we considered all aspects of the system to avoid running into problems with building and testing. We started this process by researching and defining the need in the market for our tool, to ensure that our design was purpose-orientated. We then developed a list of requirements that our system must adhere to, a process that involved abstracting away the layers of the identified problem. Following this we went through design iterations, learning from modelling data and experimental issues to arrive upon our finalised scaffold system design. </p> | ||
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Revision as of 02:41, 15 October 2018
Design
Synthetic biology is commonly defined as the application of engineering design principles to biology in order to develop valuable methods and tools that benefit society and the world.1 Teams pursuing such endeavours engage in the systematic forward-engineering of biological systems to effectively design systems that take into consideration physical, commercial and technological feasibility.
The UNSW iGEM team strived to follow suit, utilising literature and advice to appropriately follow an engineering design procedure.2 Given that design is the first stage of the “Design-Build-Test” paradigm it was important that we considered all aspects of the system to avoid running into problems with building and testing. We started this process by researching and defining the need in the market for our tool, to ensure that our design was purpose-orientated. We then developed a list of requirements that our system must adhere to, a process that involved abstracting away the layers of the identified problem. Following this we went through design iterations, learning from modelling data and experimental issues to arrive upon our finalised scaffold system design.