Operation condition design based on the qualitative and quantitative analysis for glycosylation reactions

	Operation condition design based on the qualitative and quantitative analysis for glycosylation reactions
	Yuhan Nan; Jing Wang; Jinlin Zhou; Long Cheng
	2017
会议名称	36th Chinese Control Conference (CCC)
会议日期	JUL 26-28, 2017
会议地点	Dalian
会议举办国	China
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.
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/23124
专题	复杂系统认知与决策实验室_先进机器人
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],2017.