合成代谢途径解空间分析

J. Meitalovs, E. Stalidzans
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引用次数: 3

摘要

不同生物体的基因组尺度代谢模型和重建的规模和数量正在迅速增长。在过去的几十年里,在系统生物学和合成生物学的交叉科学分支中,各种计算方法和工具被开发出来用于代谢网络的构建、分析和优化。在Matlab环境下开发了一个软件工具SpaceAnalyzer (SAnalyzer),用于自动生成新代谢产物的途径。分析了利用KEGG数据库中的反应生成代谢途径超图所需的时间。构建葡萄糖、甘油和木糖的全部长达15个反应长路径,耗时约11000秒,涉及KEGG数据库中总共17000个可用代谢物中的5500个代谢物。可用性:www.biosystems.lv sanalyzer。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of synthetic metabolic pathways solution space
The size and the number of available genome scale metabolic models and reconstructions of different organisms is growing rapidly. Various computational methods and tools are developed in the last decades for metabolic network construction, analysis and optimization in the interdisciplinary scientific branches of systems biology and synthetic biology. A software tool SpaceAnalyzer (SAnalyzer) is developed in Matlab environment for automatic generation of pathways to new metabolites. The necessary time for a metabolic pathway supergraph development using reactions from KEGG database is analyzed. The construction of all the up to 15 reactions long pathways for glucose, glycerol and xylose takes about 11 000 seconds involving about 5500 metabolites from totally 17 000 available metabolites in the KEGG data base. Availability: www.biosystems.lv/sanalyzer.
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