Overview
- Nominated as an outstanding Ph.D. thesis by the University of Barcelona, Spain
- Unveils new mechanisms and responses impossible to demonstrate with by traditional reductionist procedures
- Has given rise to a large number of articles in scholarly journals
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (7 chapters)
Keywords
About this book
This thesis uses a systems-level approach to study the cellular metabolism, unveiling new mechanisms and responses that were impossible to reach with traditional reductionists procedures.
The results reported here have a potential application in areas like metabolic engineering and disease treatment. They could also be used in determining the accuracy of the gene essentiality of new genome-scale reconstructions.
Different methods and techniques, within the contexts of Systems Biology and the field known as Complex Networks Analysis have been applied in this work to show different features of the robustness of metabolic networks. The specific issues addressed here range from pure topological aspec
ts of the networks themselves to the balance of biochemical fluxes.
Authors and Affiliations
About the author
Oriol Güell holds a Ph.D. in Physical Chemistry from the University of Barcelona, Spain, and has broad experience in the theoretical modelling and the experimental applications of magnetic colloidal dispersions and in the computer modelling of metabolic networks. Currently, his main research focuses on obtaining and applying bio-based polymers and plasticisers and studying their associated physicochemical properties.
Bibliographic Information
Book Title: A Network-Based Approach to Cell Metabolism
Book Subtitle: From Structure to Flux Balances
Authors: Oriol Güell
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-319-64000-6
Publisher: Springer Cham
eBook Packages: Chemistry and Materials Science, Chemistry and Material Science (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-63999-4Published: 24 August 2017
Softcover ISBN: 978-3-319-87695-5Published: 11 August 2018
eBook ISBN: 978-3-319-64000-6Published: 16 August 2017
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XX, 151
Number of Illustrations: 49 b/w illustrations
Topics: Biochemical Engineering, Systems Biology, Systems Biology, Physical Chemistry