首页> 外国专利> GENOME-SCALE BUTANOL-PRODUCING MICROORGANISM METABOLIC NETWORK MODEL AND METHODS USING THE SAME FOR ANALYSIS OF METABOLIC CHARACTERISTICS OF BUTANOL-PRODUCING MICROORGANISMS AND FOR SCREENING DELETION TARGETS

GENOME-SCALE BUTANOL-PRODUCING MICROORGANISM METABOLIC NETWORK MODEL AND METHODS USING THE SAME FOR ANALYSIS OF METABOLIC CHARACTERISTICS OF BUTANOL-PRODUCING MICROORGANISMS AND FOR SCREENING DELETION TARGETS

机译:基因组规模的生产丁醇的微生物代谢网络模型和方法,用于分析生产丁醇的微生物的微生物代谢特征和筛选缺失目标

摘要

The present invention relates to a metabolic network model for analysis of metabolic characteristics of butanol-producing microorganisms and methods using the same for analysis of metabolic characteristics of butanol-producing microorganisms and for screening deletion targets; and, more particularly, to establishing a metabolic network model of butanol-producing microorganisms using gene-protein-biochemical reaction associations and methods for analysis of metabolic characteristics such as a metabolic flow, etc., using the established model and for screening deletion targets with a simulation based on the metabolic flow analysis to improve the productivity of a specific metabolic product during the deletion.  A metabolic network model according to the invention is useful for analysis of metabolic characteristics such as a metabolic flow, etc. of butanol-producing microorganisms and for screening a deletion target enzyme or a gene therefor to increase the production of a specific metabolic product.  Moreover, unlike conventional methods, a deletion target screening method according to the invention makes it possible to predict deletion targets in an efficient manner, to save time and costs and to provide mutant microorganisms capable of producing a specific metabolic product at a high efficiency.
机译:本发明涉及一种用于分析产生丁醇的微生物的代谢特征的代谢网络模型,以及使用该模型来分析产生丁醇的微生物的代谢特征并筛选缺失靶的方法。尤其是,要利用基因-蛋白质-生化反应关联建立丁醇生产微生物的代谢网络模型,并利用所建立的模型并利用该模型筛选缺失目标,以分析代谢特征,例如代谢流等。基于代谢流分析的模拟,以提高删除过程中特定代谢产物的生产率。根据本发明的代谢网络模型可用于分析代谢特性,例如产生丁醇的微生物的代谢流等,以及用于筛选缺失靶酶或用于增加特定代谢产物产生的基因。而且,与常规方法不同,根据本发明的缺失靶标筛选方法使得可以有效地预测缺失靶标,节省时间和成本,并提供能够高效产生特定代谢产物的突变微生物。

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