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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 aspects of the networks themselves to the balance of biochemical fluxes.
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 aspects of the networks themselves to the balance of biochemical fluxes.
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.
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
Cellular Metabolism at the Systems Level.- Methods and Data.- Structural Knockout Cascades in Metabolic Networks.- E¿ects of Reaction Knockouts on Steady States of Metabolism.- Detection of Evolution and Adaptation Fingerprints in Metabolic Networks.- Assessing FBA Optimal States in the Feasible Flux Phenotypic Space.- Conclusions.
| Erscheinungsjahr: | 2017 |
|---|---|
| Fachbereich: | Biophysik |
| Genre: | Biologie, Mathematik, Medizin, Naturwissenschaften, Technik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Reihe: | Springer Theses |
| Inhalt: |
xx
151 S. 49 s/w Illustr. 151 p. 49 illus. |
| ISBN-13: | 9783319639994 |
| ISBN-10: | 3319639994 |
| Sprache: | Englisch |
| Herstellernummer: | 978-3-319-63999-4 |
| Ausstattung / Beilage: | HC runder Rücken kaschiert |
| Einband: | Gebunden |
| Autor: | Güell, Oriol |
| Auflage: | 1st ed. 2017 |
| Hersteller: |
Springer International Publishing
Springer International Publishing AG Springer Theses |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 241 x 160 x 16 mm |
| Von/Mit: | Oriol Güell |
| Erscheinungsdatum: | 24.08.2017 |
| Gewicht: | 0,43 kg |
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.
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
Cellular Metabolism at the Systems Level.- Methods and Data.- Structural Knockout Cascades in Metabolic Networks.- E¿ects of Reaction Knockouts on Steady States of Metabolism.- Detection of Evolution and Adaptation Fingerprints in Metabolic Networks.- Assessing FBA Optimal States in the Feasible Flux Phenotypic Space.- Conclusions.
| Erscheinungsjahr: | 2017 |
|---|---|
| Fachbereich: | Biophysik |
| Genre: | Biologie, Mathematik, Medizin, Naturwissenschaften, Technik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Reihe: | Springer Theses |
| Inhalt: |
xx
151 S. 49 s/w Illustr. 151 p. 49 illus. |
| ISBN-13: | 9783319639994 |
| ISBN-10: | 3319639994 |
| Sprache: | Englisch |
| Herstellernummer: | 978-3-319-63999-4 |
| Ausstattung / Beilage: | HC runder Rücken kaschiert |
| Einband: | Gebunden |
| Autor: | Güell, Oriol |
| Auflage: | 1st ed. 2017 |
| Hersteller: |
Springer International Publishing
Springer International Publishing AG Springer Theses |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 241 x 160 x 16 mm |
| Von/Mit: | Oriol Güell |
| Erscheinungsdatum: | 24.08.2017 |
| Gewicht: | 0,43 kg |
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