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通过基于模型的代谢和蛋白质糖化的预测来优化细胞培养过程
Jayanth Venkatarama Reddy1, Katherine Raudenbush1, Eleftherios Terry Papoutsakis2
1Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE 19716-3196, USA.
Biotechnology advances
|May 31, 2023
概括
数学建模通过优化细胞代谢和N相关的糖化来提高生物制造,从而提高生物制造的性能. 这种方法减少了昂贵的实验,使生物类似药市场的过程加剧和竞争力.
科学领域:
- 生物技术是生物技术.
- 生物工艺工程 生物工艺工程
- 计算生物学 计算生物学
背景情况:
- 生物制药制造需要广泛,昂贵的实验,以优化工艺.
- 对生物制药和生物类似药的需求不断增加,需要加强工艺.
研究的目的:
- 审查生物制造工艺强化数学建模框架.
- 专注于在上游生物处理中建模细胞代谢和N相关的糖化.
主要方法:
- 对哺乳动物细胞新陈代谢的动力学和静电学模型的审查.
- 对N结合甘化进行参数和非参数模型的分析.
- 对考虑生物反应器特定参数 (pH,溶解氧,温度) 的建模研究进行批判性审查.
主要成果:
- 数学建模为减少生物工艺开发中的实验负担提供了一条途径.
- 现有的模型主要侧重于用于单克隆抗体 (mAb) 生产的中国仓鼠卵巢 (CHO) 细胞.
- 建模工作越来越多地将生物反应器条件纳入更相关的模拟.
结论:
- 数学建模对于加强生物制造工艺和提高效率至关重要.
- 模型的适用性可以扩展到超出CHO细胞的其他平台,如Vero细胞,CAR-T和病毒载体.
- 提供了建议,以提高模型适用于工业生物处理的适用性.
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