Synthetic Biology-Guided Metabolic Engineering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Synthetic Biology-Guided Metabolic Engineering write by Rodrigo Ledesma-Amaro. This book was released on 2020-05-05. Synthetic Biology-Guided Metabolic Engineering available in PDF, EPUB and Kindle. This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Systems and Synthetic Metabolic Engineering
Systems and Synthetic Metabolic Engineering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Systems and Synthetic Metabolic Engineering write by Yanfeng Liu. This book was released on 2020-07-10. Systems and Synthetic Metabolic Engineering available in PDF, EPUB and Kindle. Systems and Synthetic Metabolic Engineering provides an overview of the development of metabolic engineering within medicine that is fueled by systems and synthetic biology. These newly developed, successful strategies of metabolic engineering guide the audience on how to propose and test proper strategies for metabolic engineering research. In addition to introductory, regulatory and challenges in the field, the book also covers dynamic control and autonomous regulation to control cell metabolism, along with computational modeling and industrial applications. The book is written by leaders in the field, making it ideal for synthetic biologists, researchers, students and anyone working in this area. Discusses the current progress of metabolic engineering, focusing on systems biology and synthetic biology Covers introductory, regulatory, strategies, production and challenges in the field Written technically for synthetic biologists, researchers, students, industrialists, policymakers and stakeholders
Metabolic Engineering
Metabolic Engineering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Metabolic Engineering write by Sang Yup Lee. This book was released on 2021-06-02. Metabolic Engineering available in PDF, EPUB and Kindle. Learn more about foundational and advanced topics in metabolic engineering in this comprehensive resource edited by leaders in the field Metabolic Engineering: Concepts and Applications delivers a one-stop resource for readers seeking a complete description of the concepts, models, and applications of metabolic engineering. This guide offers practical insights into the metabolic engineering of major cell lines, including E. Coli, Bacillus and Yarrowia Lipolytica, and organisms, including human, animal, and plant). The distinguished editors also offer readers resources on microbiome engineering and the use of metabolic engineering in bioremediation. Written in two parts, Metabolic Engineering begins with the essential models and strategies of the field, like Flux Balance Analysis, Quantitative Flux Analysis, and Proteome Constrained Models. It also provides an overview of topics like Pathway Design, Metabolomics, and Genome Editing of Bacteria and Eukarya. The second part contains insightful descriptions of the practical applications of metabolic engineering, including specific examples that shed light on the topics within. In addition to subjects like the metabolic engineering of animals, humans, and plants, you’ll learn more about: Metabolic engineering concepts and a historical perspective on their development The different modes of analysis, including flux balance analysis and quantitative flux analysis An illuminating and complete discussion of the thermodynamics of metabolic pathways The Genome architecture of E. coli, as well as genome editing of both bacteria and eukarya An in-depth treatment of the application of metabolic engineering techniques to organisms including corynebacterial, bacillus, and pseudomonas, and more Perfect for students of biotechnology, bioengineers, and biotechnologists, Metabolic Engineering: Concepts and Applications also has a place on the bookshelves of research institutes, biotechnological institutes and industry labs, and university libraries. It's comprehensive treatment of all relevant metabolic engineering concepts, models, and applications will be of use to practicing biotechnologists and bioengineers who wish to solidify their understanding of the field.
Metabolic Pathway Design
Metabolic Pathway Design - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Metabolic Pathway Design write by Pablo Carbonell. This book was released on 2019-11-05. Metabolic Pathway Design available in PDF, EPUB and Kindle. This textbook presents solid tools for in silico engineering biology, offering students a step-by-step guide to mastering the smart design of metabolic pathways. The first part explains the Design-Build-Test-Learn-cycle engineering approach to biology, discussing the basic tools to model biological and chemistry-based systems. Using these basic tools, the second part focuses on various computational protocols for metabolic pathway design, from enzyme selection to pathway discovery and enumeration. In the context of industrial biotechnology, the final part helps readers understand the challenges of scaling up and optimisation. By working with the free programming language Scientific Python, this book provides easily accessible tools for studying and learning the principles of modern in silico metabolic pathway design. Intended for advanced undergraduates and master’s students in biotechnology, biomedical engineering, bioinformatics and systems biology students, the introductory sections make it also useful for beginners wanting to learn the basics of scientific coding and find real-world, hands-on examples.
Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology
Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology write by Kumar Selvarajoo. This book was released on 2022-10-13. Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology available in PDF, EPUB and Kindle. This volume provides protocols for computational, statistical, and machine learning methods that are mainly applied to the study of metabolic engineering, synthetic biology, and disease applications. These techniques support the latest progress in cross-disciplinary research that integrates the different scales of biological complexity. The topics covered in this book are geared toward researchers with a background in engineering, computational analytical, and modeling experience and cover a broad range of topics in computational and machine learning approaches. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Comprehensive and practical, Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology is a valuable resource for any researcher or scientist who wants to learn more about the latest computational methods and how they are applied toward the understanding and prediction of complex biology.
