Designing minimal microbial strains of desired functionality using a genetic algorithm
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- 作者：Govind Nair ; Christian Jungreuthmayer ; Michael Hanscho…
- 关键词：Systems biology ; Metabolic networks ; Elementary flux modes ; Minimal cut sets ; Strain optimization
- 刊名：Algorithms for Molecular Biology
- 出版年：2015
- 出版时间：December 2015
- 年：2015
- 卷：10
- 期：1
- 全文大小：2,620 KB
- 刊物主题：Bioinformatics; Computational Biology/Bioinformatics; Physiological, Cellular and Medical Topics; Algorithms;
- 出版者：BioMed Central
- ISSN：1748-7188
文摘
Background The rational, in silico prediction of gene-knockouts to turn organisms into efficient cell factories is an essential and computationally challenging task in metabolic engineering. Elementary flux mode analysis in combination with constraint minimal cut sets is a particularly powerful method to identify optimal engineering targets, which will force an organism into the desired metabolic state. Given an engineering objective, it is theoretically possible, although computationally impractical, to find the best minimal intervention strategies.