哺乳动物细胞上游培养的预测模型 - 综述

IF 3 Q2 ENGINEERING, CHEMICAL
Bhagya S. Yatipanthalawa , Sally L. Gras
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引用次数: 0

摘要

在哺乳动物细胞培养过程中生产治疗用蛋白质是生物制药生产过程中必不可少的单元操作,有效的工艺模型可提供预测性见解,从而加快工艺开发和改进工艺控制。本综述概述并评估了目前针对哺乳动物细胞培养和蛋白质生产的预测模型开发方法。分析了经典的机理和数据驱动方法,以及模型开发和应用中的潜在挑战,包括参数估计的实验要求。然后探讨了可能提供更强稳健性的混合模型,以及混合模型的结构和模型开发所涉及的步骤。此外,还考虑了其他细胞发酵过程中的成功范例,以便应用于哺乳动物过程的开发、监测和控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictive models for upstream mammalian cell culture development - A review

The production of therapeutic proteins in mammalian cell culture is an essential unit operation in biopharmaceutical manufacture that can benefit from the predictive insights of effective process models, leading to accelerated process development and improved process control. This review outlines and evaluates current approaches to predictive model development for mammalian cell culture and protein production. Classical mechanistic and data driven approaches are analysed, together with potential challenges in model development and application, including the experimental requirements for parameter estimation. Hybrid models, which may offer greater robustness, are then explored along with hybrid model architecture and the steps involved in model development. Successful examples from other cell fermentation processes are also considered, for application to the development, monitoring and control of mammalian processes.

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