Zobrazeno 1 - 7
of 7
pro vyhledávání: '"I. Emrah Nikerel"'
Publikováno v:
Mathematical and Computer Modelling of Dynamical Systems. 17:243-260
Construction of dynamic models of large-scale metabolic networks is one of the central issues in the engineering of living cells. However, construction of such models is often hampered by a number of challenges, for example, data availability, compar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25bd29b9fb8b436e36f31d132ec3fb23
https://doi.org/10.1080/13873954.2010.548167
https://doi.org/10.1080/13873954.2010.548167
Publikováno v:
Biochemical Engineering Journal. 42:329-335
In this work, the biomass growth and the TaqI endonuclease production by recombinant Esherichia coli were studied using artificial neural networks. The effects of the medium components on biomass growth and enzyme yield were modeled by various networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::698c0d283a37d2eef53c440f5456c106
https://doi.org/10.1016/j.bej.2008.08.002
https://doi.org/10.1016/j.bej.2008.08.002
Publikováno v:
Biochemical Engineering Journal. 32:1-6
Factorial designs and second order response surface methodology (RSM) for medium optimization were employed for the growth of recombinant Escherichia coli cells carrying a plasmid encoding Taq I endonuclease as a part of the fermentation strategy for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d035705724eeecbc3688b7bb7031217
https://doi.org/10.1016/j.bej.2006.08.009
https://doi.org/10.1016/j.bej.2006.08.009
Publikováno v:
Process Biochemistry. 40:1633-1639
The effect of medium composition on the TaqI endonuclease production, by recombinant Escherichia coli cells carrying a plasmid encoding TaqI endonuclease, was investigated using response surface methodology. The concentration of glucose, di-ammonium
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49547b511d81fbe507631ce15ca2a69c
https://doi.org/10.1016/j.procbio.2004.06.017
https://doi.org/10.1016/j.procbio.2004.06.017
Publikováno v:
Systems Metabolic Engineering ISBN: 9789400745339
A dynamic model for metabolic reaction network of Penicillium chrysogenum, coupling the central metabolism to growth, product formation and storage pathways is presented. In constructing the model, we started from an existing stoichiometric model, an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3c119f72b769484114931d46ef02765
https://doi.org/10.1007/978-94-007-4534-6_8
https://doi.org/10.1007/978-94-007-4534-6_8
Publikováno v:
Metabolic engineering. 11(1)
In this work, we present a time-scale analysis based model reduction and parameter identifiability analysis method for metabolic reaction networks. The method uses the information obtained from short term chemostat perturbation experiments. We approx
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d91158526eadb3b5a55f2d23ccef8f29
https://pubmed.ncbi.nlm.nih.gov/18718548
https://pubmed.ncbi.nlm.nih.gov/18718548
Publikováno v:
BMC Bioinformatics, Vol 7, Iss 1, p 540 (2006)
BMC Bioinformatics, 2006, no. 7.
BMC Bioinformatics
BMC Bioinformatics, 2006, no. 7.
BMC Bioinformatics
Background Dynamic modeling of metabolic reaction networks under in vivo conditions is a crucial step in order to obtain a better understanding of the (dis)functioning of living cells. So far dynamic metabolic models generally have been based on mech
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c331d1dce4f07b50851af0dac4934522
https://doi.org/10.1186/1471-2105-7-540
https://doi.org/10.1186/1471-2105-7-540