Abstract
Identifying drug target is one of the most important tasks in systems biology. In this paper, we develop a method to identify drug targets in biomolecular networks based on the structural output controllability of complex networks. The drug target identification has been formulated as a problem of finding steering nodes in networks. By applying control signals to these nodes, the biomolecular networks can be transited from one state to another. According to the control theory, a graph-theoretic algorithm has been proposed to find a minimum set of steering nodes in biomolecular networks which can be a potential set of drug targets. An illustrative example shows how the proposed method works. Application results of the method to real metabolic networks are supported by existing research results.
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Wu, L., Shen, Y., Li, M., Wu, FX. (2014). Drug Target Identification Based on Structural Output Controllability of Complex Networks. In: Basu, M., Pan, Y., Wang, J. (eds) Bioinformatics Research and Applications. ISBRA 2014. Lecture Notes in Computer Science(), vol 8492. Springer, Cham. https://doi.org/10.1007/978-3-319-08171-7_17
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DOI: https://doi.org/10.1007/978-3-319-08171-7_17
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