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摘要:
The generation of bioactive products by microbial bioprocesses is important for drug discovery, functional food development, and other beneficial purposes. Many pathways contribute to the production of these bioactive compounds, but important knowledge for improving productivity still remains in hidden pathways. Recently, an abundance of knowledge about metabolic pathways has been accumulated in metabolic pathway databases, such as BioCyc and KEGG. Many by-products are chemically transformed and actually used in other enzymatic reactions. In this work, we developed an algorithm for the reconstruction of a comprehensive genetic pathway model from a known metabolic pathway database. This model considers the interactions of the by-products, in addition to the main products. Furthermore, we developed a method for the construction of a comprehensive pathway model in a specific organism. In this study, we reconstructed a Saccharomyces cerevisiae model. From this model, the pathways among enzymes that contributed to galactose metabolism were explored. Using S. cerevisiae DNA microarray data, the activated pathways were found among the explored pathways.
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篇名 Development of an Algorithm for Reconstructing a Comprehensive Pathway Model: Application to <i>Saccharomyces cerevisiae</i>
来源期刊 生物医学工程(英文) 学科 医学
关键词 BIOINFORMATICS METABOLIC PATHWAY
年,卷(期) 2015,(8) 所属期刊栏目
研究方向 页码范围 500-510
页数 11页 分类号 R73
字数 语种
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研究主题发展历程
节点文献
BIOINFORMATICS
METABOLIC
PATHWAY
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引文网络交叉学科
相关学者/机构
期刊影响力
生物医学工程(英文)
月刊
1937-6871
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
252
总下载数(次)
1
总被引数(次)
0
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