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. 2021 Jan 26;11:2220. doi: 10.1038/s41598-020-80780-6

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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MOLBCH component-target network. (a) Venn diagram: 354 components (yellow section), and 66 bioactive components screened by two ADME-related models (blue section stands for the components of OB ≥ 30%, green section stands for DL ≥ 0.18). (b) Distributions of different herbs. (c) Construction of MOLBCH component-target visual network, including 736 nodes and 3034 edges. Green nodes and blue nodes stand for bioactive components from MO and LB respectively, yellow nodes stand for targets, pink nodes stand for beta-sitosterol and sitosterol. MO Morinda officinalis, LB Lycium barbarum.