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  5. OP-Synthetic: identification of optimal genetic manipulations for the overproduction of native and n

OP-Synthetic: identification of optimal genetic manipulations for the overproduction of native and n

来源 :第六届全国生物信息学与系统生物学学术大会暨国际生物信息学前沿研讨会 | 被引量 : 0次 | 上传用户：liongliong514
【摘 要】
：
Backgroud: Constraint-based flux analysis have been widely used in metabolic engineering to predict genetic optimization strategies.These methods seek to find genetic manipulations that maximally coup
【作 者】
：
Honglei Liu Yanda Li Xiaowo Wang 
【机 构】
：
MOE Key Laboratory of Bioinformatics, Bioinformatics Division and Center for Synthetic and Systems B
【出 处】
：
第六届全国生物信息学与系统生物学学术大会暨国际生物信息学前沿研讨会
【发表日期】
：
2014年4期
【关键词】
：
Metabolic Engineering Optimization Algorithm Metabolic Network 
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　　Backgroud: Constraint-based flux analysis have been widely used in metabolic engineering to predict genetic optimization strategies.These methods seek to find genetic manipulations that maximally couple the desired metabolite with the cellular growth objective.However, such framework does not work well for overproducing chemicals that are not closely connected with biomass, for example non-native biochemical production by introducing synthetic pathways into heterologous host cells.
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