A Novel Method for Flux Distribution Computation in Metabolic Networks
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Shuigeng Zhou | Jihong Guan | Da Jiang | J. Guan | Shuigeng Zhou | Da Jiang
[1] B. Palsson,et al. Saccharomyces cerevisiae phenotypes can be predicted by using constraint-based analysis of a genome-scale reconstructed metabolic network , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[2] A. Burgard,et al. Optimization-based framework for inferring and testing hypothesized metabolic objective functions. , 2003, Biotechnology and bioengineering.
[3] Kenneth J. Kauffman,et al. Advances in flux balance analysis. , 2003, Current opinion in biotechnology.
[4] R. Mahadevan,et al. The effects of alternate optimal solutions in constraint-based genome-scale metabolic models. , 2003, Metabolic engineering.
[5] G. Church,et al. Analysis of optimality in natural and perturbed metabolic networks , 2002 .
[6] E. Ruppin,et al. Regulatory on/off minimization of metabolic flux changes after genetic perturbations. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[7] U. Sauer,et al. Large-scale in vivo flux analysis shows rigidity and suboptimal performance of Bacillus subtilis metabolism , 2005, Nature Genetics.
[8] Erwin P. Gianchandani,et al. Flux balance analysis in the era of metabolomics , 2006, Briefings Bioinform..
[9] J. Pronk,et al. Role of Transcriptional Regulation in Controlling Fluxes in Central Carbon Metabolism of Saccharomyces cerevisiae , 2004, Journal of Biological Chemistry.
[10] B. Palsson,et al. An expanded genome-scale model of Escherichia coli K-12 (iJR904 GSM/GPR) , 2003, Genome Biology.
[11] Costas D Maranas,et al. OptStrain: a computational framework for redesign of microbial production systems. , 2004, Genome research.
[12] Kazuyuki Shimizu,et al. Metabolic flux analysis based on 13C-labeling experiments and integration of the information with gene and protein expression patterns. , 2004, Advances in biochemical engineering/biotechnology.
[13] C. Schilling,et al. Flux coupling analysis of genome-scale metabolic network reconstructions. , 2004, Genome research.
[14] B. Palsson. The challenges of in silico biology , 2000, Nature Biotechnology.
[15] C. Maranas,et al. An optimization framework for identifying reaction activation/inhibition or elimination candidates for overproduction in microbial systems. , 2006, Metabolic engineering.
[16] Stephen S Fong,et al. Metabolic gene–deletion strains of Escherichia coli evolve to computationally predicted growth phenotypes , 2004, Nature Genetics.
[17] S. Oliver,et al. Chance and necessity in the evolution of minimal metabolic networks , 2006, Nature.
[18] S. Schuster,et al. Metabolic network structure determines key aspects of functionality and regulation , 2002, Nature.
[19] A. Burgard,et al. Optknock: A bilevel programming framework for identifying gene knockout strategies for microbial strain optimization , 2003, Biotechnology and bioengineering.
[20] B. Palsson,et al. Genome-scale models of microbial cells: evaluating the consequences of constraints , 2004, Nature Reviews Microbiology.
[21] R. Mahadevan,et al. Using metabolic flux data to further constrain the metabolic solution space and predict internal flux patterns: the Escherichia coli spectrum , 2004, Biotechnology and bioengineering.
[22] B. Palsson,et al. Reconstructing metabolic flux vectors from extreme pathways: defining the α-spectrum , 2003 .
[23] B. Palsson,et al. Stoichiometric flux balance models quantitatively predict growth and metabolic by-product secretion in wild-type Escherichia coli W3110 , 1994, Applied and environmental microbiology.
[24] H. Mori,et al. Global metabolic response of Escherichia coli to gnd or zwf gene-knockout, based on 13C-labeling experiments and the measurement of enzyme activities , 2004, Applied Microbiology and Biotechnology.
[25] I. Grossmann,et al. Recursive MILP model for finding all the alternate optima in LP models for metabolic networks , 2000 .
[26] Bernhard O. Palsson,et al. Identification of Genome-Scale Metabolic Network Models Using Experimentally Measured Flux Profiles , 2006, PLoS Comput. Biol..
[27] M. Araúzo-Bravo,et al. Effect of a pyruvate kinase (pykF-gene) knockout mutation on the control of gene expression and metabolic fluxes in Escherichia coli. , 2004, FEMS microbiology letters.