Publication:
Simultaneous modeling of enzyme production and biomass growth in recombinant Escherichia coli using artificial neural networks

Simple item page
dc.contributor.authorTOKSOY ÖNER, EBRU
dc.contributor.authorsGunay, M. Erdem; Nikerel, I. Emrah; Oner, Ebru Toksoy; Kirdar, Betuel; Yildirim, Ramazan
dc.date.accessioned2022-03-12T17:34:46Z
dc.date.available2022-03-12T17:34:46Z
dc.date.issued2008
dc.description.abstractIn 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 networks. After the most successful networks were statistically determined, they were used to extract additional knowledge such as the possible correlations between the biomass growth and the enzyme yield, and the relative significance of the medium components. It was found that the change of the biomass growth and the enzyme yield with the change of KH2PO4 concentration was strongly correlated with an R-value of -0.954. Some mild correlations were also observed for the other components. It was also found that the relative significances of the medium components were in the same order for both outputs: (NH4)(2)HPO4 Concentration was determined as the most important parameter followed by the glucose, KH2PO4 and MgSO4 concentrations. (C) 2008 Elsevier B.V. All rights reserved.
dc.identifier.doi10.1016/j.bej.2008.08.002
dc.identifier.eissn1873-295X
dc.identifier.issn1369-703X
dc.identifier.urihttps://hdl.handle.net/11424/229069
dc.identifier.wosWOS:000260283800019
dc.language.isoeng
dc.publisherELSEVIER
dc.relation.ispartofBIOCHEMICAL ENGINEERING JOURNAL
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectTaqI endonuclease
dc.subjectEnzyme production
dc.subjectModeling
dc.subjectOptimization
dc.subjectArtificial intelligence
dc.subjectNeural networks
dc.subjectTAQI RESTRICTION-ENDONUCLEASE
dc.subjectOPTIMIZATION
dc.subjectCELLS
dc.subjectGLUCOSE
dc.subjectDESIGN
dc.subjectSYSTEM
dc.titleSimultaneous modeling of enzyme production and biomass growth in recombinant Escherichia coli using artificial neural networks
dc.typearticle
dspace.entity.typePublication
local.avesis.ida70d4618-dffd-439a-ba5b-9d43afdafb2b
local.import.packageSS17
local.indexed.atWOS
local.indexed.atSCOPUS
local.journal.numberofpages7
oaire.citation.endPage335
oaire.citation.issue3
oaire.citation.startPage329
oaire.citation.titleBIOCHEMICAL ENGINEERING JOURNAL
oaire.citation.volume42
relation.isAuthorOfPublication6118e9e4-a58e-429b-bbec-4f73a3089a2b
relation.isAuthorOfPublication.latestForDiscovery6118e9e4-a58e-429b-bbec-4f73a3089a2b

Files

Collections

Research Outputs