Towards a genome-scale kinetic model of cellular metabolism |
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| Authors: | Kieran Smallbone Evangelos Simeonidis Neil Swainston Pedro Mendes |
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| Affiliation: | (1) Manchester Centre for Integrative Systems Biology, Manchester Interdisciplinary Biocentre, 131 Princess Street, M1 7DN Manchester, UK;(2) School of Mathematics, The University of Manchester, M13 9PL, Oxford Road, Manchester, UK;(3) School of Chemical Engineering and Analytical Science, The University of Manchester, M13 9PL, Oxford Road, Manchester, UK;(4) School of Computer Science, The University of Manchester, M13 9PL, Oxford Road, Manchester, UK;(5) Virginia Bioinformatics Institute, Virginia Tech, 24061, Washington Street 0499, Virginia, USA |
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| Abstract: | Background Advances in bioinformatic techniques and analyses have led to the availability of genome-scale metabolic reconstructions. The size and complexity of such networks often means that their potential behaviour can only be analysed with constraint-based methods. Whilst requiring minimal experimental data, such methods are unable to give insight into cellular substrate concentrations. Instead, the long-term goal of systems biology is to use kinetic modelling to characterize fully the mechanics of each enzymatic reaction, and to combine such knowledge to predict system behaviour. |
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