Academic literature on the topic 'Original genetic toggle switch'

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Journal articles on the topic "Original genetic toggle switch"

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Andrecut, M., and S. A. Kauffman. "Noise in Genetic Toggle Switch Models." Journal of Integrative Bioinformatics 3, no. 1 (2006): 63–77. http://dx.doi.org/10.1515/jib-2006-23.

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Summary In this paper we study the intrinsic noise effect on the switching behavior of a simple genetic circuit corresponding to the genetic toggle switch model. The numerical results obtained from a noisy mean-field model are compared to those obtained from the stochastic Gillespie simulation of the corresponding system of chemical reactions. Our results show that by using a two step reaction approach for modeling the transcription and translation processes one can make the system to lock in one of the steady states for exponentially long times.
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Xu, Yong, Ya-nan Zhu, Jianwei Shen, and Jianbin Su. "Switch dynamics for stochastic model of genetic toggle switch." Physica A: Statistical Mechanics and its Applications 416 (December 2014): 461–66. http://dx.doi.org/10.1016/j.physa.2014.08.042.

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Gardner, T. "A genetic toggle switch for gene therapy." Biomedicine & Pharmacotherapy 54, no. 5 (2000): 279. http://dx.doi.org/10.1016/s0753-3322(00)80073-6.

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Andrecut, M., and S. A. Kauffman. "A Physical Analogy of the Genetic Toggle Switch." Journal of Computational Biology 14, no. 7 (2007): 973–83. http://dx.doi.org/10.1089/cmb.2007.0038.

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ANDRECUT, M., and S. A. KAUFFMAN. "MEAN FIELD MODEL OF THE GENETIC TOGGLE SWITCH." International Journal of Modern Physics B 20, no. 29 (2006): 4947–63. http://dx.doi.org/10.1142/s021797920603576x.

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In this paper we discuss a noisy mean field model for the genetic toggle switch. We show that this model approximates very well the characteristics of the system, observed using the exact Gillespie stochastic simulation algorithm. Also, we show that the system can be made exponentially stable depending on reaction parameters.
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Hillenbrand, Patrick, Georg Fritz, and Ulrich Gerland. "Biological Signal Processing with a Genetic Toggle Switch." PLoS ONE 8, no. 7 (2013): e68345. http://dx.doi.org/10.1371/journal.pone.0068345.

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Pei Wang, Jinhu Lu, and Xinghuo Yu. "Colored Noise Induced Bistable Switch in the Genetic Toggle Switch Systems." IEEE/ACM Transactions on Computational Biology and Bioinformatics 12, no. 3 (2015): 579–89. http://dx.doi.org/10.1109/tcbb.2014.2368982.

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Zhang, Rui-ting, Han-shuang Chen, and Zhong-huai Hou. "Stability and Flipping Dynamics of Delayed Genetic Toggle Switch." Chinese Journal of Chemical Physics 25, no. 1 (2012): 53–59. http://dx.doi.org/10.1088/1674-0068/25/01/53-59.

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Gardner, Timothy S., Charles R. Cantor, and James J. Collins. "Construction of a genetic toggle switch in Escherichia coli." Nature 403, no. 6767 (2000): 339–42. http://dx.doi.org/10.1038/35002131.

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Mateus, Félix, and Feng Liu. "Bifurcation Analysis and Chaos in Electronic Genetic Toggle Switch." International Journal of Scientific and Research Publications (IJSRP) 9, no. 2 (2019): p8619. http://dx.doi.org/10.29322/ijsrp.9.02.2019.p8619.

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Dissertations / Theses on the topic "Original genetic toggle switch"

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Petrides, Andreas. "Advances in the stochastic and deterministic analysis of multistable biochemical networks." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/279059.

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This dissertation is concerned with the potential multistability of protein concentrations in the cell that can arise in biochemical networks. That is, situations where one, or a family of, proteins may sit at one of two or more different steady state concentrations in otherwise identical cells, and in spite of them being in the same environment. Models of multisite protein phosphorylation have shown that this mechanism is able to exhibit unlimited multistability. Nevertheless, these models have not considered enzyme docking, the binding of the enzymes to one or more substrate docking sites, w
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Lugagne, Jean-Baptiste. "Real-time control of a genetic toggle switch." Thesis, Sorbonne Paris Cité, 2016. http://www.theses.fr/2016USPCC249/document.

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Les progrès récents de la microfluidique, la biologie synthétique, la microscopie automatisée rendent aujourd'hui possible le contrôle externe de l'expression des gènes en temps réel. Parmi les défis que devra relever le domaine du contrôle externe et temps-réel de l'expression des gènes, se trouve la possibilité de contrôler des réseaux de régulation génique aux dynamiques complexes et multi-stables et le contrôle de multiples gènes en parallèle. Pour faire avancer le domaine dans cette direction nous avons étudié la contrôlabilité d'un réseau bistable composé de deux gènes, appelé genetic to
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Paek, Sung-Ho. "Spatiotemporal Characterization of Stochastic Bacterial Growth in Biofilm Environment." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/78186.

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Research on bacteria in their biofilm form is limited by the ability to artificially culture bacterial biofilms in a system that permits the visualization of individual cells. The experiments comprising this thesis research are on-going investigations of bacterial culture systems engineered to provide an environment that mimics biofilms while enabling real-time microscopy. Specifically, the microfluidic systems developed and assessed as part of this thesis permit the visualization of individual bacteria cells within consortia growing within a narrow space provided by a microfluidic device. Thi
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Bernabé, Orts Juan Miguel. "Development and characterization of two new tools for plant genetic engineering: A CRISPR/Cas12a-based mutagenesis system and a PhiC31-based gene switch." Doctoral thesis, 2019. http://hdl.handle.net/10251/133055.

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[ES] La mejora genética vegetal tiene como objetivo la obtención de plantas con rasgos mejorados o características novedosas que podrían ayudar a superar los objetivos de sostenibilidad. Para este fin, la biotecnología vegetal necesita incorporar nuevas herramientas de ingeniería genética que combinen una mayor precisión con una mayor capacidad de mejora. Las herramientas de edición genética recientemente descubiertas basadas en la tecnología CRISPR/Cas9 han abierto el camino para modificar los genomas de las plantas con una precisión sin precedentes. Por otro lado, los nuevos enfoques de biol
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Book chapters on the topic "Original genetic toggle switch"

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Ushikubo, Tomohiro, Wataru Inoue, Mitsumasa Yoda, and Masaki Sasai. "Theoretical Research on Dynamics of the Genetic Toggle Switch." In Frontiers of Computational Science. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-46375-7_43.

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"Toggle Switch, Genetic." In Encyclopedia of Genetics, Genomics, Proteomics and Informatics. Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6754-9_17082.

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Murray, Richard M. "Biological Circuit Components." In Biomolecular Feedback Systems. Princeton University Press, 2014. http://dx.doi.org/10.23943/princeton/9780691161532.003.0005.

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This chapter describes some simple circuit components that have been constructed in E. coli cells using the technology of synthetic biology and then considers a more complicated circuit that already appears in natural systems to implement adaptation. It first analyzes the negatively autoregulated gene fabricated in E. coli bacteria, before turning to the toggle switch, which is composed of two genes that mutually repress each other. The chapter next illustrates a dynamical model of a “repressilator”—an oscillatory genetic circuit consisting of three repressors arranged in a ring fashion. The activator–repressor clock is then considered, alongside an incoherent feedforward loop (IFFL). Finally, the chapter examines bacterial chemotaxis, which E. coli use to move in the direction of increasing nutrients.
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Conference papers on the topic "Original genetic toggle switch"

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Chen, Po-Kuei, and Chun-Liang Lin. "Synthesizing genetic clock with toggle switch and oscillator." In 2014 11th IEEE International Conference on Control & Automation (ICCA). IEEE, 2014. http://dx.doi.org/10.1109/icca.2014.6870969.

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Petrides, Andreas, and Glenn Vinnicombe. "Understanding the discrete genetic toggle switch phenomena using a discrete ‘nullcline’ construct inspired by the Markov chain tree theorem." In 2017 IEEE 56th Annual Conference on Decision and Control (CDC). IEEE, 2017. http://dx.doi.org/10.1109/cdc.2017.8263881.

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Li, Mian. "An Improved Kriging Assisted Multi-Objective Genetic Algorithm." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28543.

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Although Genetic Algorithms (GAs) and Multi-Objective Genetic Algorithms (MOGAs) have been widely used in engineering design optimization, the important challenge still faced by researchers in using these methods is their high computational cost due to the population-based nature of these methods. For these problems it is important to devise MOGAs that can significantly reduce the number of simulation calls compared to a conventional MOGA. We present an improved kriging assisted MOGA, called Circled Kriging MOGA (CK-MOGA), in which kriging metamodels are embedded within the computation procedu
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