文章基本信息

标题：Improving Bioprocess Productivity Using Constraint-Based Models in a Dynamic Optimization Scheme
本地全文：下载
作者：Banafsheh Jabarivelisdeh ; Steffen Waldherr
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2016
卷号：49
期号：26
页码：245-251
DOI：10.1016/j.ifacol.2016.12.133
语种：English
出版社：Elsevier
摘要：Modulating the expression of target genes is an effective metabolic engineering approach to increase bioprocess productivity. In this work, a bilevel optimization framework is applied for dynamic manipulation of gene expression based on constraint-based models. A dynamic model in the inner problem captures the network dynamics and enables temporal regulation of the metabolic network. Through linearization of nonlinear constraints, this framework is based on linear optimization which saves on computation time especially in a bilevel structure. A case study involving batch fermentation of Escherichia coli for ethanol production is considered to find an optimal manipulation strategy of metabolic networks for maximal productivity.
关键词：ProductivityConstraint-based methodsMetabolic engineeringBilevel optimizationDynamic flux balance analysis