| Operation condition design based on the qualitative and quantitative analysis for glycosylation reactions | |
| Yuhan Nan; Jing Wang; Jinlin Zhou; Long Cheng | |
| 2017 | |
| 会议日期 | JUL 26-28, 2017 |
| 会议地点 | Dalian |
| 国家 | China |
| 英文摘要 | Glycosylation reactions play a significant role on the targeted therapy of monoclonal antibody drug. In this paper, a new method implemented by combination of qualitative analysis and quantitative analysis is introduced to optimize the operating conditions of glycosylation reaction output. First, gain matrix based on ANOVA design is presented to evaluate the relationship between reaction output (different glycan classes) and system input (glycosylation enzymes). Due to the high dimension and high nonlinearity of glycosylation reactions, the singular value decomposition of process gain matrix is adopted to qualitatively analyze the effect of glycosylation enzymes in order to find the appropriate operation variables. Furthermore, genetic algorithm is used to quantitatively optimize the operation conditions for desired target of monoclonal antibody drug. The quantitative operation conditions are consistent with the reaction mechanism and qualitative analysis results of process gain. |
| 内容类型 | 会议论文 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/23124]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
| 推荐引用方式 GB/T 7714 | Yuhan Nan,Jing Wang,Jinlin Zhou,et al. Operation condition design based on the qualitative and quantitative analysis for glycosylation reactions[C]. 见:. Dalian. JUL 26-28, 2017. |
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