A. Ghodba , A. Richelle , P. Agarwal , C. McCready , L. Ricardez-Sandoval , H. Budman
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引用次数: 0
Abstract
The dynamic flux balance model (DFBA) is a constrained-based optimization modeling approach that has gained popularity for describing microbial cultures but has not been thoroughly investigated for mammalian cell cultures due to their relative complexity. This research aims to identify a DFBA model with minimal constraints and associated parameters to predict data for the fed-batch operation of a mammalian CHO cell culture. The Bayesian Information Criterion (BIC) is used to find a minimal set of kinetic constraints. The resulting DFBA model is used to predict 24 metabolites, biomass, and titer with 85 parameters that has a lower BIC and higher R2 as compared to previously reported kinetic models.
期刊介绍：
All papers from IFAC meetings are published, in partnership with Elsevier, the IFAC Publisher, in theIFAC-PapersOnLine proceedings series hosted at the ScienceDirect web service. This series includes papers previously published in the IFAC website.The main features of the IFAC-PapersOnLine series are: -Online archive including papers from IFAC Symposia, Congresses, Conferences, and most Workshops. -All papers accepted at the meeting are published in PDF format - searchable and citable. -All papers published on the web site can be cited using the IFAC PapersOnLine ISSN and the individual paper DOI (Digital Object Identifier). The site is Open Access in nature - no charge is made to individuals for reading or downloading. Copyright of all papers belongs to IFAC and must be referenced if derivative journal papers are produced from the conference papers. All papers published in IFAC-PapersOnLine have undergone a peer review selection process according to the IFAC rules.
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