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Enumerating Precursor Sets of Target Metabolites in a Metabolic Network

机译:枚举代​​谢网络中目标代谢物的前体集

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We present the first exact method based on the topology of a metabolic network to find minimal sets of metabolites (called precursors) sufficient to produce a set of target metabolites. In contrast with previous proposals, our model takes into account self-regenerating metabolites involved in cycles, which may be used to generate target metabolites from potential precursors. We analyse the complexity of the problem and we propose an algorithm to enumerate all minimal precursor sets for a set of target metabolites. The algorithm can be applied to identify a minimal medium necessary for a cell to ensure some metabolic functions. It can be used also to check inconsistencies caused by misannotations in a metabolic network. We present two illustrations of these applications.
机译:我们提出了基于代谢网络拓扑结构的第一种精确方法,以找到足以产生一组目标代谢物的最小量的代谢物(称为前体)。与先前的建议相反,我们的模型考虑了循环中涉及的自我再生代谢物,可用于从潜在的前体中生成目标代谢物。我们分析了问题的复杂性,并提出了一种算法来枚举一组目标代谢物的所有最小前体组。该算法可用于识别细胞以确保某些代谢功能所需的最小培养基。它也可以用来检查由代谢网络中的错误注释引起的不一致。我们提供这些应用程序的两个插图。

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