Altamirano C., Illanes A., Becerra S., Cairó J., Gòdia F. Considerations on the lactate consumption by CHO cells in the presence of galactose. Journal of Biotechnology 2006, 125:547-556.
Antoniewicz M.R., Kelleher J.K., Stephanopoulos G. Determination of confidence intervals of metabolic fluxes estimated from stable isotope measurements. Metabolic Engineering 2006, 8:324-337.
Boghigian, B. A., Seth, G., Kiss, R., Pfeifer, B. A., 2009. Metabolic flux analysis and pharmaceutical production. Metabolic Engineering. doi:10.1016/j.ymben.2009.10.004.
Bonarius H.P.J., Hatzimanikatis V., Meesters K., Goojier C., Schimd G., Tramper J. Metabolic flux analysis of hybridoma cells in different culture media using mass balances. Biotechnology and Bioengineering 1996, 50:299-318.
Bonarius H.P.J., Houtman J.H., de Gooijer C.D., JohannesTramper, Schmid G. Activity of glutamate dehydrogenase is increased in ammonia-stressed hybridoma cells. Biotechnology and Bioengineering 1998, 57:447-453.
Bonarius H.P.J., Houtman J.H., Schmid G., de Gooijer C.D., Tramper J. Metabolic flux analysis of hybridoma cells under oxidative and reductive stress using mas balances. Cytotechnology 2000, 32:97-107.
Bonarius H.P.J., Schmid G., Tramper J. Flux analysis of underdetermined metabolic networks: the quest for the missing constraints. TIBTECH 1997, 15:308-314. August.
Henry O., Perrier M., Kamen A. Metabolic flux analysis of HEK-293 cells in perfusion cultures for the production of adenoviral vectors. Metabolic Engineering 2005, 7:467-476.
Hu, W.-S., 2004. Cell Biology for Process Engineering. Tech. Rep., Cellular Bioprocess Technology, University of Minnesota.
Kao F.-T., Puck T.T. Genetics of somatic mammalian cells. IV. Properties of Chinese hamster cell mutants with respect to the requirement for proline. Genetics 1967, 55:513-524.
KEGG, 2008. Kyoto Encyclopedia of Genes and Genomes. Online. http://www.genome.ad.jp/kegg/pathway/map/map01100.html.
Klamt S., Schuster S. Calculating as many fluxes as possible in underdetermined metabolic networks. Molecular Biology Reports 2002, 29:243-248.
Klamt S., Schuster S., Gilles E.D. Calculability analysis in underdetermined metabolic networks illustrated by a model of the central metabolism in purple nonsulfur bacteria. Biotechnology and Bioengineering 2002, 77(7):734-751.
Llaneras F., Picó J. An interval approach for dealing with flux distributions and elementary modes activity patterns. Journal of Theoretical Biology 2007, 246:290-308.
Lovrecz G., Gray P. Use of on-line gas analysis to monitor recombinant. Mammalian Cell cultures 1994, 167-175.
Nadeau I., Sabatié J., Koehl M., Perrier M., Kamen A. Human 293 cell metabolism in low glutamine-supplied culture: interpretation of metabolic changes through metabolic flux analysis. Metabolic Engineering 2000, 2:277-292.
Nelson, D., Cox, M., 2005. Lehninger, Principles of Biochemistry, fourth edition.
Pfeiffer T., Sánchez-Valdenebro I., Nuńo J., Montero F., Schuster S. Metatool: for studying metabolic networks. Bioinformatics 1999, 15(3):251-257. March.
Provost, A., 2006. Metabolic design of dynamic bioreaction models. Ph.D. Thesis, Université Catholique de Louvain.
Provost A., Bastin G. Dynamical metabolic modelling of biological processes. Fourth International Symposium on Mathematical Modelling 2003.
Provost A., Bastin G. Dynamic metabolic modelling under the balanced growth condition. Journal of Process Control 2004, 14:717-728.
Provost A., Bastin G., Schneider Y. From metabolic networks to minimal dynamic bioreaction models. 10th International IFAC Symposium on Computer Applications in Biotechnology 2007.
Savinell J.M., Palsson B.O. Optimal selection of metabolic fluxes for in vivo measurement. I. Development of mathematical methods. Journal of Theoretical Biology 1992, 155:201-214.
Savinell J.M., Palsson B.O. Optimal selection of metabolic fluxes for in vivo measurement. II. Application to Escherichia coli and hybridoma cell metabolism. Journal of Theoretical Biology 1992, 155:215-242.
Schneider M., Marison I.W., von Stockar U. The importance of ammonia in mammalian cell culture. Journal of Biotechnology 1996, 46:161-185.
Schuster S., Dandekar T., Fell D.A. Detection of elementary flux modes in biochemical networks: a promising tool for pathway analysis and metabolic engineering. TIBTECH 1999, 17:53-60.
Seoka N. Directional mutation preassure and neutral molecular evolution. Proceedings of the National Academy of Sciences of the United States of America 1988, 85:2653-2657.
Sidorenko Y., Wahl A., Dauner M., Genzel Y., Reichl U. Comparison of metabolic flux distributions for MDCK cell growth in glutamine- and pyruvate-containing media. Biotechnology Progress 2008, 24:311-320.
Sueoka N. Correlation between base composition of deoxyribonucleic acid and amino acid composition of protein. Proceedings of the National Academy of Sciences of the United States of America 1961, 47:1141-1149.
Sueoka N. On genetic basis of variation and heterogeneity of DNA base composition. Proceedings of the National Academy of Sciences of the United States of America 1962, 48:582-592.
van der Heijden R., Heijnen J., Hellinga C., Romein B., Luyben K. Linear constraint relations in biochemical reaction systems. I. Classification of the calculability and the balanceability of conversion rates. Biotechnology and Bioengineering 1994, 43:3-10.
Wahl A., Sidorenko Y., Dauner M., Genzel Y., Reichl U. Metabolic flux model for an anchorage-dependent MDCK cell line. Biotechnology and Bioengineering 2008, 101:135-152.
Xie L., Wang D.I. Applications of improved stoichiometric model in medium design and fed-batch cultivation of animal cells in bioreactor. Cytotechnology 1994, 15:17-29.
Xie L., Wang D.I. Material balance studies on animal cell metabolism using stoichiometrically based reaction network. Biotechnology and Bioengineering 1996, 52:579-590.
Xie L., Wang D.I. Energy metabolism and ATP balance in animall cell cultivation using a stoichiometrically based reaction network. Biotechnology and Bioengineering 1996, 52:591-601.
Zupke C., Stephanopoulos G. Intracellular flux analysis in hybridomas using mass balances and in vitro 13C NMR. Biotechnology and Bioengineering 1995, 45:292-303.