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Efficient computation of impact degrees for multiple reactions in metabolic networks with cycles

机译:高效计算循环代谢网络中多个反应的影响度

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Analysis of the robustness of a metabolic network against of single or multiple reaction(s) is useful for mining important enzymes/genes. For that purpose, the impact degree was proposed by Jiang et al. In this short paper, we extend the impact degree for metabolic networks containing cycles and develop a simple algorithm for its computation. Furthermore, we propose an improved algorithm for computing impact degrees for deletions of multiple reactions. The results of preliminary computational experiments suggest that the improved algorithm is several tens of times faster than a simple algorithm.
机译:针对单个或多个反应的代谢网络的鲁棒性分析对于挖掘重要的酶/基因非常有用。为此,Jiang等人提出了影响程度。在这篇简短的论文中,我们扩展了包含循环的代谢网络的影响程度,并开发了一种简单的算法对其进行计算。此外,我们提出了一种改进的算法来计算影响度,以消除多个反应。初步计算实验的结果表明,改进算法比简单算法快几十倍。

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