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Parameterized Complexity of Inverse Scope Problems in Metabolic Networks

机译:代谢网络中反作用域问题的参数化复杂性

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Inverse Scope Problem aims to determine, by analyzing the structure of a metabolic network, the minimum cardinality set of seed compounds required for the synthesis of a specific compound or set of compounds. This paper examines the computational complexity of three variants of the inverse scope problem from parameterized complexity view. With as natural parameter the minimum number of metabolites necessary for synthesizing a set of target metabolites, we prove that inverse scope problem with two forbidden sets is W[2]-hard. In addition, we point out that the inverse scope problem with no forbidden set and the inverse scope problem with a forbidden set are also W[2]-hard.
机译:反向作用域问题旨在通过分析代谢网络的结构,确定合成特定化合物或化合物组所需的种子化合物的最小基数组。本文从参数化复杂度的角度检查了反作用域问题的三个变体的计算复杂度。以合成一组目标代谢物所需的最小数量的代谢物为自然参数,我们证明了两个禁集的反作用域问题是W [2] -hard。另外,我们指出,没有禁集的反作用域问题和有禁集的反作用域问题也是W [2] -hard的。

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