A Network-Based Approach to Cell Metabolism : From Structure to Flux Balances

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...

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Bibliographic Details
Main Author: Güell, Oriol. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language: English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Series: Springer Theses, Recognizing Outstanding Ph.D. Research,
Subjects:
Chemistry.
Biochemical engineering.
Physical chemistry.
Systems biology.
elektronické knihy
electronic books
ISBN: 9783319640006
Physical Description: 1 online resource (XX, 151 p. 49 illus.)

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Table of contents

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008 170816s2017 gw | s |||| 0|eng d
999 |c 100577  |d 100577 
020 |a 9783319640006 
024 7 |a 10.1007/978-3-319-64000-6  |2 doi 
100 1 |a Güell, Oriol.  |e author. 
245 1 2 |a A Network-Based Approach to Cell Metabolism :  |b From Structure to Flux Balances /  |c by Oriol Güell. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2017. 
300 |a 1 online resource (XX, 151 p. 49 illus.) 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Springer Theses, Recognizing Outstanding Ph.D. Research,  |x 2190-5053 
505 0 |a Cellular Metabolism at the Systems Level -- Methods and Data -- Structural Knockout Cascades in Metabolic Networks -- Effects 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. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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. 
650 0 |a Chemistry. 
650 0 |a Biochemical engineering. 
650 0 |a Physical chemistry. 
650 0 |a Systems biology. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
710 2 |a SpringerLink (Online service) 
776 0 8 |i Printed edition:  |z 9783319639994 
830 0 |a Springer Theses, Recognizing Outstanding Ph.D. Research,  |x 2190-5053 
856 4 0 |u https://proxy.k.utb.cz/login?url=http://dx.doi.org/10.1007/978-3-319-64000-6  |y Plný text 
942 |2 udc 
992 |c NTK-SpringerCHEMS 
993 |x NEPOSILAT  |y EIZ 

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