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An algorithm for extracting subgraph of specific species from metabolic pathway

机译:从代谢途径中提取特定物种亚图的算法

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A large number of metabolic pathway databases are currently available, such as KEGG, EcoCys, and BioPath. For a better use of the KEGG databases, studying the KEGG data structure and rebuilding it into a convenient form become crucial tasks to our research, such as functional modularity detection, conserved pathway analysis, phylogenetic analysis. This paper presents an algorithm for extracting the metabolic pathways from KEGG database to the form of enzyme-enzyme interactions (EEI) and compound-compound ones. Using the algorithm EMP (Extract Metabolic Pathway), we can transform a specific species metabolic pathway in KEGG into a subgraph which consists of EEI edges. Additionally, we provide a tool named ExtKEGG to extract compound-based metabolic pathways. Furthermore, the experimental results show that our algorithm causes no information loss.
机译:当前有大量的代谢途径数据库,例如KEGG,EcoCys和BioPath。为了更好地利用KEGG数据库,研究KEGG数据结构并将其重建为方便的形式成为我们研究的关键任务,例如功能模块检测,保守途径分析,系统发育分析。本文提出了一种从KEGG数据库中提取代谢途径为酶-酶相互作用(EEI)和化合物-化合物相互作用形式的算法。使用算法EMP(提取代谢途径),我们可以将KEGG中的特定物种代谢途径转化为包含EEI边缘的子图。此外,我们提供了一个名为ExtKEGG的工具来提取基于化合物的代谢途径。此外,实验结果表明我们的算法不会造成信息丢失。

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