Novel column generation-based optimization approach for poly-pathway kinetic model applied to CHO cell culture.

ABSTRACT: Mathematical modelling can provide precious tools for bioprocess simulation, prediction, control and optimization of mammalian cell-based cultures. In this paper we present a novel method to generate kinetic models of such cultures, rendering complex metabolic networks in a poly-pathway kinetic model. The model is based on subsets of elementary flux modes (EFMs) to generate macro-reactions. Thanks to our column generation-based optimization algorithm, the experimental data are used to identify the EFMs, which are relevant to the data. Here the systematic enumeration of all the EFMs is eliminated and a network including a large number of reactions can be considered. In particular, the poly-pathway model can simulate multiple metabolic behaviors in response to changes in the culture conditio

SUBMITTER: Hagrot E 

PROVIDER: S-EPMC6376161 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature