贝叶斯优化和溶液热力学的整合,以优化哺乳动物生物制造的介质设计
Nelson Ndahiro1, Edward Ma1, Tom Bertalan1
1Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
贝叶斯优化通过高效优化细胞培养基来增强生物制造. 这种数据效率高的策略提高了产品产量,并加速了负担得起的生物治疗药物的可用性.
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
- 机器学习应用 机器学习应用
背景情况:
- 优化细胞培养基对于治疗药物,材料和食品的成本效益高的生物制造至关重要.
- 目前的优化方法是复杂的,耗时的,昂贵的,特别是对于像中国仓鼠卵巢 (CHO) 细胞这样的哺乳动物系统.
- 治疗性生产的长期开发时间表对高药物成本做出了重大贡献.
研究的目的:
- 使用贝叶斯优化 (BO) 开发细胞培养基的数据效率优化策略.
- 整合热力学约束,以确保可行和可溶性介质配方.
- 提高产品标题,缩短生物制造的开发时间表.
主要方法:
- 适应贝叶斯优化 (BO) 用于生物处理应用,使并行实验.
- 嵌入了基于热力学的介质溶解性的约束.
- 验证了in-silico和实验生物反应器设置中的方法.
主要成果:
- 与传统的实验设计 (DOE) 方法相比,获得了更好的产品标题.
- 通过结合机器学习和物理建模,展示了更高效的数据流程优化策略.
- 验证了优化介质配方的可行性.
结论:
- 开发的贝叶斯优化方法为生物过程优化提供了显著的改进.
- 与机器人辅助生物反应器的集成可以导致自动化生物过程优化.
- 这一战略承诺生物治疗药物的发展速度更快,成本更低.
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