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66 Brunette, T.J., Parmeggiani, F., Huang, P.S., Bhabha, G., Ekiert, D.C., Tsutakawa, S.E., Hura, G.L., Tainer, J.A., Baker, D., Exploring the repeat protein universe through computational protein design. Nature 528 (2015), 580–584.
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69•• Nielsen, A.A., Der, B.S., Shin, J., Vaidyanathan, P., Paralanov, V., Strychalski, E.A., Ross, D., Densmore, D., Voigt, C.A., Genetic circuit design automation. Science, 352, 2016, 10.1126/science.aac7341 It has been difficult to predict the behavior of microbial cells in response to the environmental change. However, the recent development in computation technologies as systems metabolic engineering tools has allowed engineers to make genetic circuits based on the accurate predictions from in silico simulations. According to the demonstration in this study, the experimental data based on the developed genetic circuit coincided with the prediction from the software with a significant reliability.
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