为哺乳动物细胞培养的新型动态通量平衡模型系统选择约束条件

Q3 Engineering

IFAC-PapersOnLine Pub Date : 2024-01-01 DOI:10.1016/j.ifacol.2024.08.367

A. Ghodba , A. Richelle , P. Agarwal , C. McCready , L. Ricardez-Sandoval , H. Budman

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引用次数: 0

摘要

动态通量平衡模型（DFBA）是一种基于约束条件的优化建模方法，在描述微生物培养物方面很受欢迎，但由于其相对复杂性，尚未对哺乳动物细胞培养物进行深入研究。本研究旨在确定一个具有最小约束和相关参数的 DFBA 模型，以预测哺乳动物 CHO 细胞培养的喂养批次操作数据。贝叶斯信息标准（BIC）用于寻找一组最小的动力学约束条件。得出的 DFBA 模型用 85 个参数预测了 24 种代谢物、生物量和滴度，与之前报道的动力学模型相比，BIC 更低，R2 更高。

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Systematic Selection of Constraints for a Novel Dynamic Flux Balance Model of Mammalian Cell Cultures

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.

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来源期刊

IFAC-PapersOnLine Engineering-Control and Systems Engineering

CiteScore

1.70

自引率

0.00%

发文量

1122

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