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Retraction notice to “Poly-pathway model, a novel approach to simulate multiple metabolic states by reaction network-based model – Application to amino acid depletion in CHO cell culture” (Journal of Biotechnology (2016) 228 (37–39)(S0168165616301213)(10.1016/j.jbiotec.2016.03.015))
KTH, School of Biotechnology (BIO), Industrial Biotechnology.
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Optimization and Systems Theory.
KTH, School of Biotechnology (BIO), Industrial Biotechnology.
KTH, School of Electrical Engineering (EES), Automatic Control.
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2018 (English)In: Journal of Biotechnology, ISSN 0168-1656, E-ISSN 1873-4863, Vol. 265Article in journal (Refereed) Published
Abstract [en]

This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). The authors of the paper wish to retract the paper due to the discovery of a calculation error in the processing of the raw data. The discovered error concerns the calculation of the specific uptake/secretion rates for several metabolites in one of the experimental conditions, i.e. glutamine omission (called Q0). In other words, in Figure 2, the variations of the metabolic fluxes for the condition Q0 are not correct. When this error is corrected, the resulting mathematical model changes (in particular for the results associated with Q0 conditions), several figures and tables are modified, and the interpretation of the fluxes in Q0 has to be slightly modified. Therefore the authors wish to retract the article. However, the error does not affect the modelling approach or the methodology presented in the article. Therefore, a revised version with the correct data has since been published: http://www.sciencedirect.com/science/article/pii/S0168165617302663. We apologize to the scientific community for the need to retract the article and the inconvenience caused.

Place, publisher, year, edition, pages
Elsevier B.V. , 2018. Vol. 265
Keywords [en]
Erratum, retracted article
National Category
Medical Biotechnology
Identifiers
URN: urn:nbn:se:kth:diva-223179DOI: 10.1016/j.jbiotec.2017.11.013ISI: 000418596500018Scopus ID: 2-s2.0-85038872259OAI: oai:DiVA.org:kth-223179DiVA, id: diva2:1186387
Note

Export Date: 13 February 2018; Erratum; CODEN: JBITD. QC 20180228

Available from: 2018-02-28 Created: 2018-02-28 Last updated: 2018-02-28Bibliographically approved

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Jacobsen, Elling W.Chotteau, Véronique

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