Decomposing complex reaction networks using random sampling,principal component analysis and basis rotation |
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Authors: | Christian L Barrett Markus J Herrgard Bernhard Palsson |
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Institution: | (1) Department of Bioengineering, University of California at San Diego, La Jolla, CA 92093-0412, USA;(2) Synthetic Genomics, 11149 North Torrey Pines Road, La Jolla, CA 92037, USA |
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Abstract: | Background Metabolism and its regulation constitute a large fraction of the molecular activity within cells. The control of cellular
metabolic state is mediated by numerous molecular mechanisms, which in effect position the metabolic network flux state at
specific locations within a mathematically-definable steady-state flux space. Post-translational regulation constitutes a
large class of these mechanisms, and decades of research indicate that achieving a network flux state through post-translational
metabolic regulation is both a complex and complicated regulatory problem. No analysis method for the objective, top-down
assessment of such regulation problems in large biochemical networks has been presented and demonstrated. |
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