Parameterized Complezity of Inverse Scope Problems in Metabolic Networks
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 W2-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 W2-hard.
Hong Liu Haodi Feng Darning Zhu
Algorithms Group, School of Computer Science and Technology Shandong University Jinan, Shandong Province, China
国际会议
2009 WASE International Conference on Information Engineering(2009年国际信息工程会议)(ICIE 2009)
太原
英文
1053-1056
2009-07-10(万方平台首次上网日期,不代表论文的发表时间)