Works matching IS 18606768 AND DT 2013 AND VI 8 AND IP 9
Results: 20
Basic concepts and principles of stoichiometric modeling of metabolic networks.
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- Biotechnology Journal, 2013, v. 8, n. 9, p. 997, doi. 10.1002/biot.201200291
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Systems & Synthetic Industrial Biotechnology.
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- Biotechnology Journal, 2013, v. 8, n. 9, p. n/a, doi. 10.1002/biot.201390037
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- Article
Improving biotechnology communication.
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- Biotechnology Journal, 2013, v. 8, n. 9, p. 970, doi. 10.1002/biot.201300182
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Genomically and biochemically accurate metabolic reconstruction of Methanosarcina barkeri Fusaro, iMG746.
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- Biotechnology Journal, 2013, v. 8, n. 9, p. 1070, doi. 10.1002/biot.201200266
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Meetings and Conferences: Biotechnology Journal 9/2013.
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- Biotechnology Journal, 2013, v. 8, n. 9, p. 1115, doi. 10.1002/biot.201390043
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- Article
Metabolic gradients as key regulators in zonation of tumor energy metabolism: A tissue-scale model-based study.
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- Biotechnology Journal, 2013, v. 8, n. 9, p. 1058, doi. 10.1002/biot.201200393
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Multi-scale modeling for sustainable chemical production.
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- Biotechnology Journal, 2013, v. 8, n. 9, p. 973, doi. 10.1002/biot.201200272
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Editorial Board: Biotechnology Journal 9/2013.
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- Biotechnology Journal, 2013, v. 8, n. 9, p. 869, doi. 10.1002/biot.201390047
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- Article
Kinetic isotope effects significantly influence intracellular metabolite <sup>13</sup>C labeling patterns and flux determination.
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- Biotechnology Journal, 2013, v. 8, n. 9, p. 1080, doi. 10.1002/biot.201200276
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Elementary flux modes in a nutshell: Properties, calculation and applications.
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- Biotechnology Journal, 2013, v. 8, n. 9, p. 1009, doi. 10.1002/biot.201200269
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Optimization-driven identification of genetic perturbations accelerates the convergence of model parameters in ensemble modeling of metabolic networks.
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- Biotechnology Journal, 2013, v. 8, n. 9, p. 1090, doi. 10.1002/biot.201200270
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Contents: Biotechnology Journal 9/2013.
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- Biotechnology Journal, 2013, v. 8, n. 9, p. 965, doi. 10.1002/biot.201390046
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- Article
Genome-scale modeling of human metabolism - a systems biology approach.
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- Biotechnology Journal, 2013, v. 8, n. 9, p. 985, doi. 10.1002/biot.201200275
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BiotecVisions 2013, September.
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- Biotechnology Journal, 2013, v. 8, n. 9, p. 967, doi. 10.1002/biot.201300012
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- Article
Flux-coupled genes and their use in metabolic flux analysis.
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- Biotechnology Journal, 2013, v. 8, n. 9, p. 1035, doi. 10.1002/biot.201200279
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Predicting complex phenotype-genotype interactions to enable yeast engineering: Saccharomyces cerevisiae as a model organism and a cell factory.
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- Biotechnology Journal, 2013, v. 8, n. 9, p. 1017, doi. 10.1002/biot.201300138
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In this issue.
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- Biotechnology Journal, 2013, v. 8, n. 9, p. 964, doi. 10.1002/biot.201390045
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- Article
Editorial: Metabolic modeling in biotechnology and medical research.
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- Biotechnology Journal, 2013, v. 8, n. 9, p. 962, doi. 10.1002/biot.201300378
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Metabolic costs of amino acid and protein production in Escherichia coli.
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- Biotechnology Journal, 2013, v. 8, n. 9, p. 1105, doi. 10.1002/biot.201200267
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Towards kinetic modeling of genome-scale metabolic networks without sacrificing stoichiometric, thermodynamic and physiological constraints.
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- Biotechnology Journal, 2013, v. 8, n. 9, p. 1043, doi. 10.1002/biot.201300091
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- Article