M. Ashyraliyev, Y. F. Nanfack, J. Kaandorp, and J. Blom, Systems biology: parameter estimation for biochemical models, FEBS Journal, vol.7, issue.4, pp.886-902, 2009.
DOI : 10.1111/j.1742-4658.2008.06844.x

G. Bellu, M. Saccomani, S. Audoly, and L. Dangì-o, DAISY: A new software tool to test global identifiability of biological and physiological systems, Computer Methods and Programs in Biomedicine, vol.88, issue.1, pp.52-61, 2007.
DOI : 10.1016/j.cmpb.2007.07.002

B. Bennett, E. Kimball, M. Gao, R. Osterhout, S. V. Dien et al., Absolute metabolite concentrations and implied enzyme active site occupancy in Escherichia coli, Nature Chemical Biology, vol.149, issue.8, pp.593-602, 2009.
DOI : 10.1038/nchembio.186

S. Berthoumieux, M. Brilli, H. De-jong, D. Kahn, and E. Cinquemani, Identification of metabolic network models from incomplete high-throughput datasets, Bioinformatics, vol.27, issue.13, pp.186-195, 2011.
DOI : 10.1093/bioinformatics/btr225

URL : https://hal.archives-ouvertes.fr/hal-00793039

S. Berthoumieux, D. Kahn, H. De-jong, and E. Cinquemani, Structural and practical identifiability of approximate metabolic network models, Proc. 16th IFAC Symp. System Identif, 2012.
DOI : 10.3182/20120711-3-BE-2027.00166

URL : https://hal.archives-ouvertes.fr/hal-00762604

K. Bettenbrock, S. Fischer, A. Kremling, K. Jahreis, T. Sauter et al., A Quantitative Approach to Catabolite Repression in Escherichia coli, Journal of Biological Chemistry, vol.281, issue.5, pp.2578-84, 2006.
DOI : 10.1074/jbc.M508090200

M. Brand, A. Heyden, G. Sparr, M. Nielsen, and P. Johansen, Incremental Singular Value Decomposition of Uncertain Data with Missing Values, Proc. 7th Eur. Conf. Comput. Vision, pp.707-727, 2002.
DOI : 10.1007/3-540-47969-4_47

M. Chappell, K. Godfrey, and S. Vajda, Global identifiability of the parameters of nonlinear systems with specified inputs: A comparison of methods, Mathematical Biosciences, vol.102, issue.1, pp.41-73, 1990.
DOI : 10.1016/0025-5564(90)90055-4

W. Chen, M. Nieper, and P. Sorger, Classic and contemporary approaches to modeling biochemical reactions, Genes & Development, vol.24, issue.17, pp.1861-75, 2010.
DOI : 10.1101/gad.1945410

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2932968

O. Chis, J. Banga, and E. Balsa-canto, GenSSI: a software toolbox for structural identifiability analysis of biological models, Bioinformatics, vol.27, issue.18, pp.2610-2611, 2011.
DOI : 10.1093/bioinformatics/btr431

O. Chis, J. Banga, and E. Balsa-canto, Structural Identifiability of Systems Biology Models: A Critical Comparison of Methods, PLoS ONE, vol.6, issue.11, p.27755, 2011.
DOI : 10.1371/journal.pone.0027755.s001

I. Chou and E. Voit, Recent developments in parameter estimation and structure identification of biochemical and genomic systems, Mathematical Biosciences, vol.219, issue.2, pp.57-83, 2009.
DOI : 10.1016/j.mbs.2009.03.002

C. Cobelli and J. Distefano, Parameter and structural identifiability concepts and ambiguities: A critical review and analysis, Am. J. Physiol, vol.239, issue.1, pp.7-24, 1980.

DOI : 10.3182/20060329-3-AU-2901.00007

H. De-jong, Modeling and Simulation of Genetic Regulatory Systems: A Literature Review, Journal of Computational Biology, vol.9, issue.1, pp.67-103, 2002.
DOI : 10.1089/10665270252833208

X. Delgado and J. Liao, Metabolic control analysis using transient metabolite concentrations. Determination of metabolite concentration control coefficients, Biochemical Journal, vol.285, issue.3, pp.965-72, 1992.
DOI : 10.1042/bj2850965

R. Gutenkunst, J. Waterfall, F. Casey, K. Brown, C. Myers et al., Universally Sloppy Parameter Sensitivities in Systems Biology Models, PLoS Computational Biology, vol.19, issue.10, p.189, 2007.
DOI : 10.1371/journal.pcbi.0030189.sd006

T. Hardiman, K. Lemuth, M. K. Reuss, and M. Siemann-herzberg, Topology of the global regulatory network of carbon limitation in Escherichia coli, Journal of Biotechnology, vol.132, issue.4, pp.359-374, 2007.
DOI : 10.1016/j.jbiotec.2007.08.029

V. Hatzimanikatis and J. Bailey, Effects of spatiotemporal variations on metabolic control: Approximate analysis using (log)linear kinetic models, Biotechnology and Bioengineering, vol.252, issue.2, pp.91-104, 1997.
DOI : 10.1002/(SICI)1097-0290(19970420)54:2<91::AID-BIT1>3.0.CO;2-Q

J. Heijnen, Approximative kinetic formats used in metabolic network modeling, Biotechnology and Bioengineering, vol.271, issue.5, pp.534-579, 2005.
DOI : 10.1002/bit.20558

R. Heinrich and S. Schuster, The Regulation of Cellular Systems, 1996.
DOI : 10.1007/978-1-4613-1161-4

N. Ishii, K. Nakahigashi, T. Baba, M. Robert, T. Soga et al., Multiple High-Throughput Analyses Monitor the Response of E. coli to Perturbations, Science, vol.316, issue.5824, pp.593-600, 2007.
DOI : 10.1126/science.1132067

K. Jaqaman and G. Danuser, Linking data to models: data regression, Nature Reviews Molecular Cell Biology, vol.91, issue.11, pp.813-822, 2006.
DOI : 10.1038/nrm2030

I. Jolliffe, Principal Component Analysis, 1986.
DOI : 10.1007/978-1-4757-1904-8

O. Kotte, J. Zaugg, and M. Heinemann, Bacterial adaptation through distributed sensing of metabolic fluxes, Molecular Systems Biology, vol.73, p.355, 2010.
DOI : 10.1016/S1369-5274(03)00033-X

W. Liebermeister and E. Klipp, Bringing metabolic networks to life: Convenience rate law and thermodynamic constraints, Theoretical Biology and Medical Modelling, vol.3, issue.1, p.41, 2006.
DOI : 10.1186/1742-4682-3-41

L. Ljung, System Identification, Theory for the User, 1999.

T. Maiwald and J. Timmer, Dynamical modeling and multi-experiment fitting with PottersWheel, Bioinformatics, vol.24, issue.18, pp.2037-2080, 2008.
DOI : 10.1093/bioinformatics/btn350

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2530888

J. Nemcova, Structural identifiability of polynomial and rational systems, Mathematical Biosciences, vol.223, issue.2, pp.83-96, 2010.
DOI : 10.1016/j.mbs.2009.11.002

I. Nikerel, W. Van-winden, P. Verheijen, and J. Heijnen, Model reduction and a priori kinetic parameter identifiability analysis using metabolome time series for metabolic reaction networks with linlog kinetics, Metabolic Engineering, vol.11, issue.1, pp.20-30, 2009.
DOI : 10.1016/j.ymben.2008.07.004

A. Raue, C. Kreutz, T. Maiwald, J. Bachmann, M. Schilling et al., Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihood, Bioinformatics, vol.25, issue.15, pp.1923-1952, 2009.
DOI : 10.1093/bioinformatics/btp358

A. Raue, C. Kreutz, T. Maiwald, U. Klingmüller, and J. Timmer, Addressing parameter identifiability by model-based experimentation, IET Systems Biology, vol.5, issue.2, pp.120-150, 2011.
DOI : 10.1049/iet-syb.2010.0061

C. Reder, Metabolic control theory: A structural approach, Journal of Theoretical Biology, vol.135, issue.2, pp.175-201, 1988.
DOI : 10.1016/S0022-5193(88)80073-0

P. Sands and E. Voit, Flux-based estimation of parameters in S-systems, Ecological Modelling, vol.93, issue.1-3, pp.1-3, 1996.
DOI : 10.1016/0304-3800(95)00215-4

M. Savageau, Biochemical Systems Analysis: A Study of Function and Design in Molecular Biology, 1976.

S. Srinath and R. Gunawan, Parameter identifiability of power-law biochemical system models, Journal of Biotechnology, vol.149, issue.3, pp.132-172, 2010.
DOI : 10.1016/j.jbiotec.2010.02.019

S. Van-huffel and J. Vandewalle, The Total Least Squares Problems: Computational Aspects and Analysis, 1991.
DOI : 10.1137/1.9781611971002

D. Visser and J. Heijnen, Dynamic simulation and metabolic re-design of a branched pathway using linlog kinetics, Metabolic Engineering, vol.5, issue.3, pp.164-76, 2003.
DOI : 10.1016/S1096-7176(03)00025-9

E. Voit, J. Almeida, S. Marino, R. Lall, G. Goel et al., Regulation of glycolysis in Lactococcus lactis: an unfinished systems biological case study, IEE Proceedings - Systems Biology, vol.153, issue.4, pp.286-98, 2006.
DOI : 10.1049/ip-syb:20050087

E. Voit, A. Neves, and H. Santos, The intricate side of systems biology, Proc. Natl. Acad. Sci. USA 103, pp.9452-9459, 2006.
DOI : 10.1073/pnas.0603337103

E. Walter and L. Pronzato, Identification of Parametric Models, 1997.
URL : https://hal.archives-ouvertes.fr/hal-00252148