Добірка наукової літератури з теми "Systems Biology, Synthetic Biology, Metabolic Engineering"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Systems Biology, Synthetic Biology, Metabolic Engineering".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Статті в журналах з теми "Systems Biology, Synthetic Biology, Metabolic Engineering"
Nielsen, Jens, and Jack T. Pronk. "Metabolic engineering, synthetic biology and systems biology." FEMS Yeast Research 12, no. 2 (January 4, 2012): 103. http://dx.doi.org/10.1111/j.1567-1364.2011.00783.x.
Повний текст джерелаHe, Fei, Ettore Murabito, and Hans V. Westerhoff. "Synthetic biology and regulatory networks: where metabolic systems biology meets control engineering." Journal of The Royal Society Interface 13, no. 117 (April 2016): 20151046. http://dx.doi.org/10.1098/rsif.2015.1046.
Повний текст джерелаChoi, Kyeong Rok, Woo Dae Jang, Dongsoo Yang, Jae Sung Cho, Dahyeon Park, and Sang Yup Lee. "Systems Metabolic Engineering Strategies: Integrating Systems and Synthetic Biology with Metabolic Engineering." Trends in Biotechnology 37, no. 8 (August 2019): 817–37. http://dx.doi.org/10.1016/j.tibtech.2019.01.003.
Повний текст джерелаLee, Hyang-Mi, Phuong Vo, and Dokyun Na. "Advancement of Metabolic Engineering Assisted by Synthetic Biology." Catalysts 8, no. 12 (December 4, 2018): 619. http://dx.doi.org/10.3390/catal8120619.
Повний текст джерелаFong, Stephen S. "Computational approaches to metabolic engineering utilizing systems biology and synthetic biology." Computational and Structural Biotechnology Journal 11, no. 18 (August 2014): 28–34. http://dx.doi.org/10.1016/j.csbj.2014.08.005.
Повний текст джерелаKing, Jason R., Steven Edgar, Kangjian Qiao, and Gregory Stephanopoulos. "Accessing Nature’s diversity through metabolic engineering and synthetic biology." F1000Research 5 (March 24, 2016): 397. http://dx.doi.org/10.12688/f1000research.7311.1.
Повний текст джерелаChen, Bor-Sen, and Chia-Chou Wu. "Systems Biology as an Integrated Platform for Bioinformatics, Systems Synthetic Biology, and Systems Metabolic Engineering." Cells 2, no. 4 (October 11, 2013): 635–88. http://dx.doi.org/10.3390/cells2040635.
Повний текст джерелаMcArthur, George H., and Stephen S. Fong. "Toward Engineering Synthetic Microbial Metabolism." Journal of Biomedicine and Biotechnology 2010 (2010): 1–10. http://dx.doi.org/10.1155/2010/459760.
Повний текст джерелаMa, Jingbo, Yang Gu, Monireh Marsafari, and Peng Xu. "Synthetic biology, systems biology, and metabolic engineering of Yarrowia lipolytica toward a sustainable biorefinery platform." Journal of Industrial Microbiology & Biotechnology 47, no. 9-10 (July 4, 2020): 845–62. http://dx.doi.org/10.1007/s10295-020-02290-8.
Повний текст джерелаJeong, Yujin, Sang-Hyeok Cho, Hookeun Lee, Hyung-Kyoon Choi, Dong-Myung Kim, Choul-Gyun Lee, Suhyung Cho, and Byung-Kwan Cho. "Current Status and Future Strategies to Increase Secondary Metabolite Production from Cyanobacteria." Microorganisms 8, no. 12 (November 24, 2020): 1849. http://dx.doi.org/10.3390/microorganisms8121849.
Повний текст джерелаДисертації з теми "Systems Biology, Synthetic Biology, Metabolic Engineering"
Boyle, Patrick M. "Network-Scale Engineering: Systems Approaches to Synthetic Biology." Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10298.
Повний текст джерелаLibis, Vincent. "New inputs for synthetic biological systems." Thesis, Sorbonne Paris Cité, 2016. http://www.theses.fr/2016USPCC127/document.
Повний текст джерелаSynthetic biologists program DNA with the aim of building biological systems that react under certain conditions in a predefined way. This ability could have impact in several fields, from medicine to industrial fermentation. While the scalability of synthetic biological circuits in terms of signal processing in now almost demonstrated, the variety of input signals for these circuits is limited. Because each application typically requires a circuit to react to case-specific molecules, the lack of input diversity is a major obstacle to the development of new applications. Two axis are developed over the course of this thesis to try to address input-related problems. The main axis consists in a new strategy aiming at systematically and immediately increasing the chemical diversity of inputs for synthetic circuits. Current approaches to expand the number of potential inputs focus on re-engineering sensing systems such as riboswitches or allosteric transcription factors to make them react to previously non-detectable molecules. On the contrary, here we developed a method to transform the non-detectable molecules themselves into molecules for which sensing systems already exist. These chemical transformations are realized in situ by expressing synthetic metabolic pathways in the cell. In order to systematize this strategy, we leveraged computer-aided design to predict ways of detecting new molecules by digging into all known biochemical reactions. We then implemented several predictions in vivo that successfully enabled E. coli to detect new chemicals. Aside from the interest of the method for biotechnological applications, this shows that in addition to transferring matter and energy, metabolism can also play a role in transferring information, raising the question of potential occurrences of this sensing strategy in nature. A second axis introduce a way to exempt simple programs from the need for a chemical input, and explore the use of a biological input instead. In situations where a single timely induction or repression of multiple genes is required, such as in industrial fermentation processes, we propose to replace expensive chemical induction by simultaneous infection of all the members of a growing population of cells with viral particles inputting in real-time all the necessary information for the task at hand. In the context of fermentation, we developed engineered viral particles that can dynamically reprogram the metabolism of a large population of bacteria at the optimal stage of growth and force them to produce value-added chemicals
Triana, Dopico Julián. "Model-based analysis and metabolic design of a cyanobacterium for bio-products synthesis." Doctoral thesis, Universitat Politècnica de València, 2014. http://hdl.handle.net/10251/39351.
Повний текст джерелаTriana Dopico, J. (2014). Model-based analysis and metabolic design of a cyanobacterium for bio-products synthesis [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/39351
TESIS
Merrick, Christine. "A synthetic biology approach to metabolic pathway engineering." Thesis, University of Glasgow, 2015. http://theses.gla.ac.uk/6383/.
Повний текст джерелаTorella, Joseph Peter. "Synthetic biology approaches to bio-based chemical production." Thesis, Harvard University, 2014. http://nrs.harvard.edu/urn-3:HUL.InstRepos:13088835.
Повний текст джерелаPedersen, Michael. "Modular languages for systems and synthetic biology." Thesis, University of Edinburgh, 2010. http://hdl.handle.net/1842/4602.
Повний текст джерелаMartínez-Klimova, Elena. "Synthetic biology approaches to the metabolic engineering of Geobacillus thermoglucosidans for isobutanol production." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/45409.
Повний текст джерелаCampodonico, Alt Miguel Ángel. "Systems biology and chemoinformatics methods for biomining and systems metabolic engineering applications." Tesis, Universidad de Chile, 2014. http://repositorio.uchile.cl/handle/2250/132047.
Повний текст джерелаIn the first chapter, this thesis aims to demonstrate the great potential of Constraint-Based Reconstruction and Analysis (COBRA) methods for studying and predicting specific phenotypes in the bacterium Acidithiobacillus ferrooxidans. A genome-scale metabolic reconstruction of Acidithiobacillus ferrooxidans ATCC 23270 (iMC507) is presented and characterized. iMC507 is validated for aerobic chemolithoautotrophic conditions by fixating carbon dioxide and using three different electron donors: ferrous ion, tetrathionate and thiosulfate. Furthermore, the model is utilized for (i) quantitatively studying and analyzing key reactions and pathways involved in the electron transfer metabolism, (ii) describing the central carbon metabolism and (iii) for evaluating the potential to couple the production of extracellular polymeric substances through knock-outs. The second chapter work outlines the effort towards advancing the field of systems metabolic engineering by using COBRA methods in conjunction with chemoinformatic approaches to metabolically engineer the bacterium Escherichia coli. A complete strain design workflow integrating synthetic pathway prediction with growth-coupled designs for the production of non-native compounds in a target organism of interest is outlined. The generated enabling technology is a computational pipeline including chemoinformatics, bioinformatics, constraint-based modeling, and GEMs to aid in the process of metabolic engineering of microbes for industrial bioprocessing purposes. A retrosynthetic based pathway predictor algorithm containing a novel integration with GEMs and reaction promiscuity analysis is developed and demonstrated. Specifically, the production potential of 20 industrially-relevant chemicals in E. coli and feasible designs for production strains generation is outlined. A comprehensive mapping from E. coli s native metabolome to commodity chemicals that are 4 reactions or less away from a natural metabolite is performed. Sets of metabolic interventions, specifically knock-outs and knock-ins that coupled the target chemical production to growth rate were determined. In the third chapter, in order to aid the field of cancer metabolism, potential biomarkers were determined through gain of function oncometabolites predictions. Based on a chemoinformatic approach in conjunction with the global human metabolic network Recon 2, a workflow for predicting potential oncometabolites is constructed. Starting from a list of mutated enzymes genes, described as GoF mutations, a range of promiscuous catalytic activities are inferred. In total 24 chemical substructures of oncometabolites resulting from the GoF analysis are predicted.
McArthur, George Howard IV. "Orthogonal Expression of Metabolic Pathways." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/3087.
Повний текст джерелаHuttanus, Herbert M. "Screening and Engineering Phenotypes using Big Data Systems Biology." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/102706.
Повний текст джерелаDoctor of Philosophy
Книги з теми "Systems Biology, Synthetic Biology, Metabolic Engineering"
Zhao, Huimin, and An-Ping Zeng, eds. Synthetic Biology – Metabolic Engineering. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-55318-4.
Повний текст джерелаPengcheng, Fu, and Panke Sven, eds. Systems biology and synthetic biology. Hoboken, N.J: John Wiley & Sons, 2009.
Знайти повний текст джерелаSelvarajoo, Kumar, ed. Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology. New York, NY: Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-2617-7.
Повний текст джерелаWittmann, Christoph. Systems Metabolic Engineering. Dordrecht: Springer Netherlands, 2012.
Знайти повний текст джерелаAlper, Hal S. Systems metabolic engineering: Methods and protocols. New York: Humana Press, 2013.
Знайти повний текст джерелаClay, Sylvia M. Developing Biofuel Bioprocesses Using Systems and Synthetic Biology. New York, NY: Springer New York, 2013.
Знайти повний текст джерелаPray, Leslie A. The science and applications of synthetic and systems biology: Workshop summary. Washington, D.C: National Academies Press, 2011.
Знайти повний текст джерелаMetabolic flux analysis: Methods and protocols. New York: Humana Press, 2014.
Знайти повний текст джерелаChen, Bor-Sen, and Chia-Chou Wu. Systems Biology: An Integrated Platform for Bioinformatics, Systems Synthetic Biology and Systems Metabolic Engineering. Nova Science Publishers, Incorporated, 2014.
Знайти повний текст джерелаZeng, An-Ping, and Huimin Zhao. Synthetic Biology – Metabolic Engineering. Springer, 2018.
Знайти повний текст джерелаЧастини книг з теми "Systems Biology, Synthetic Biology, Metabolic Engineering"
Yan, Qiang, and Stephen S. Fong. "Biosensors for Metabolic Engineering." In Systems Biology Application in Synthetic Biology, 53–70. New Delhi: Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-2809-7_5.
Повний текст джерелаBecker, Judith, Gideon Gießelmann, Sarah Lisa Hoffmann, and Christoph Wittmann. "Corynebacterium glutamicum for Sustainable Bioproduction: From Metabolic Physiology to Systems Metabolic Engineering." In Synthetic Biology – Metabolic Engineering, 217–63. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/10_2016_21.
Повний текст джерелаSingh, Vijai, Indra Mani, and Dharmendra Kumar Chaudhary. "Metabolic Engineering of Microorganisms for Biosynthesis of Antibiotics." In Systems and Synthetic Biology, 341–56. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9514-2_18.
Повний текст джерелаRoldão, António, Il-Kwon Kim, and Jens Nielsen. "Bridging Omics Technologies with Synthetic Biology in Yeast Industrial Biotechnology." In Systems Metabolic Engineering, 271–327. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4534-6_9.
Повний текст джерелаPei, Lei, and Markus Schmidt. "Sustainable Assessment on Using Bacterial Platform to Produce High-Added-Value Products from Berries through Metabolic Engineering." In Systems Biology Application in Synthetic Biology, 71–78. New Delhi: Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-2809-7_6.
Повний текст джерелаNikel, Pablo I. "Systems and Synthetic Biology Approaches for Metabolic Engineering of Pseudomonas putida." In Microbial Models: From Environmental to Industrial Sustainability, 3–22. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2555-6_1.
Повний текст джерелаPapoutsakis, Eleftherios T., and Keith V. Alsaker. "Towards a Synthetic Biology of the Stress-Response and the Tolerance Phenotype: Systems Understanding and Engineering of the Clostridium acetobutylicum Stress-Response and Tolerance to Toxic Metabolites." In Systems Metabolic Engineering, 193–219. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4534-6_7.
Повний текст джерелаZhu, Qinlong, and Yao-Guang Liu. "TransGene Stacking II Vector System for Plant Metabolic Engineering and Synthetic Biology." In Methods in Molecular Biology, 19–35. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1068-8_2.
Повний текст джерелаMarx, Hans, Stefan Pflügl, Diethard Mattanovich, and Michael Sauer. "Synthetic Biology Assisting Metabolic Pathway Engineering." In Synthetic Biology, 255–80. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-22708-5_7.
Повний текст джерелаGuo, Weihua, Jiayuan Sheng, and Xueyang Feng. "Synergizing 13C Metabolic Flux Analysis and Metabolic Engineering for Biochemical Production." In Synthetic Biology – Metabolic Engineering, 265–99. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/10_2017_2.
Повний текст джерелаТези доповідей конференцій з теми "Systems Biology, Synthetic Biology, Metabolic Engineering"
Malcata, F. Xavier. "Engineering of microalgae toward biodiesel: Facts and prospects." In 2022 AOCS Annual Meeting & Expo. American Oil Chemists' Society (AOCS), 2022. http://dx.doi.org/10.21748/jeul5047.
Повний текст джерела"Metabolic engineering of corynebacteria to create a producer of L-valine." In Bioinformatics of Genome Regulation and Structure/Systems Biology (BGRS/SB-2022) :. Institute of Cytology and Genetics, the Siberian Branch of the Russian Academy of Sciences, 2022. http://dx.doi.org/10.18699/sbb-2022-317.
Повний текст джерелаJensen, P. A., and J. A. Papin. "A scalable systems analysis approach for regulated metabolic networks." In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2009. http://dx.doi.org/10.1109/iembs.2009.5334060.
Повний текст джерелаEgan, Paul F., Jonathan Cagan, Christian Schunn, and Philip R. LeDuc. "Utilizing Emergent Levels to Facilitate Complex Systems Design: Demonstrated in a Synthetic Biology Domain." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12072.
Повний текст джерелаBay, Brian, and Mike Bailey. "Pre-Programmed Failure Behavior Using Biology-Inspired Structures." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-34685.
Повний текст джерелаЗвіти організацій з теми "Systems Biology, Synthetic Biology, Metabolic Engineering"
Gupta, Shweta. Synthetic Biology: The Gateway to Future Biotechnological Industry. Science Repository OÜ, May 2021. http://dx.doi.org/10.31487/sr.blog.34.
Повний текст джерелаJung, Carina, Karl Indest, Matthew Carr, Richard Lance, Lyndsay Carrigee, and Kayla Clark. Properties and detectability of rogue synthetic biology (SynBio) products in complex matrices. Engineer Research and Development Center (U.S.), September 2022. http://dx.doi.org/10.21079/11681/45345.
Повний текст джерела