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Items: 1 to 20 of 128

1.

Comparison of different algorithms for simultaneous estimation of multiple parameters in kinetic metabolic models.

Baker SM, Schallau K, Junker BH.

J Integr Bioinform. 2010 Mar 25;7(3). doi: 10.2390/biecoll-jib-2010-133.

PMID:
20375457
2.

Extraction of elementary rate constants from global network analysis of E. coli central metabolism.

Zhao J, Ridgway D, Broderick G, Kovalenko A, Ellison M.

BMC Syst Biol. 2008 May 7;2:41. doi: 10.1186/1752-0509-2-41.

3.

Simultaneous versus sequential optimal experiment design for the identification of multi-parameter microbial growth kinetics as a function of temperature.

Van Derlinden E, Bernaerts K, Van Impe JF.

J Theor Biol. 2010 May 21;264(2):347-55. doi: 10.1016/j.jtbi.2010.01.003.

PMID:
20064532
4.

Proximate parameter tuning for biochemical networks with uncertain kinetic parameters.

Wilkinson SJ, Benson N, Kell DB.

Mol Biosyst. 2008 Jan;4(1):74-97.

PMID:
18075678
6.

ConvAn: a convergence analyzing tool for optimization of biochemical networks.

Kostromins A, Mozga I, Stalidzans E.

Biosystems. 2012 Apr-Jun;108(1-3):73-7. doi: 10.1016/j.biosystems.2011.12.004.

PMID:
22212352
7.

Modeling metabolic networks in C. glutamicum: a comparison of rate laws in combination with various parameter optimization strategies.

Dräger A, Kronfeld M, Ziller MJ, Supper J, Planatscher H, Magnus JB, Oldiges M, Kohlbacher O, Zell A.

BMC Syst Biol. 2009 Jan 14;3:5. doi: 10.1186/1752-0509-3-5.

8.

Identification of regulatory structure and kinetic parameters of biochemical networks via mixed-integer dynamic optimization.

Guillén-Gosálbez G, Miró A, Alves R, Sorribas A, Jiménez L.

BMC Syst Biol. 2013 Oct 31;7:113. doi: 10.1186/1752-0509-7-113.

10.

Efficient, sparse biological network determination.

August E, Papachristodoulou A.

BMC Syst Biol. 2009 Feb 23;3:25. doi: 10.1186/1752-0509-3-25.

11.
12.

Efficient classification of complete parameter regions based on semidefinite programming.

Kuepfer L, Sauer U, Parrilo PA.

BMC Bioinformatics. 2007 Jan 15;8:12.

13.

Properties of the proximate parameter tuning regularization algorithm.

Brown M, He F, Wilkinson SJ.

Bull Math Biol. 2010 Apr;72(3):697-718. doi: 10.1007/s11538-009-9466-y.

PMID:
20049545
14.

A hybrid model of anaerobic E. coli GJT001: combination of elementary flux modes and cybernetic variables.

Kim JI, Varner JD, Ramkrishna D.

Biotechnol Prog. 2008 Sep-Oct;24(5):993-1006. doi: 10.1002/btpr.73.

PMID:
19194908
15.

Parameter estimation for stiff equations of biosystems using radial basis function networks.

Matsubara Y, Kikuchi S, Sugimoto M, Tomita M.

BMC Bioinformatics. 2006 Apr 27;7:230.

16.
17.

Parameter optimization by using differential elimination: a general approach for introducing constraints into objective functions.

Nakatsui M, Horimoto K, Okamoto M, Tokumoto Y, Miyake J.

BMC Syst Biol. 2010 Sep 13;4 Suppl 2:S9. doi: 10.1186/1752-0509-4-S2-S9.

18.

Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis.

Tashkova K, Korošec P, Silc J, Todorovski L, Džeroski S.

BMC Syst Biol. 2011 Oct 11;5:159. doi: 10.1186/1752-0509-5-159.

19.

Hybrid optimization method with general switching strategy for parameter estimation.

Balsa-Canto E, Peifer M, Banga JR, Timmer J, Fleck C.

BMC Syst Biol. 2008 Mar 24;2:26. doi: 10.1186/1752-0509-2-26.

20.

Parameter estimation in modulated, unbranched reaction chains within biochemical systems.

Lall R, Voit EO.

Comput Biol Chem. 2005 Oct;29(5):309-18.

PMID:
16213792
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