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. 2018 Jun 26;9:668. doi: 10.3389/fphar.2018.00668

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Copyright © 2018 Wang, Wu, Sun, Li, Liu and Tang.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Property analysis of Global network: (A) percentage of different kinds of predicted targets, according to IUPHAR classification; (B) power-law degree distribution of two kinds of nodes: compounds (blue), targets (red); (C) chemical space of all compounds in Global network, depicted by three descriptors: MW, ALogP, and TPSA, consisting of compounds form TCM database (blue), DrugBank database (green), and intersection (red); (D) chemical similarity of all compounds on FCFP4 fingerprints.