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. 2021 Aug 10;16:76. doi: 10.1186/s13020-021-00488-1

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© The Author(s) 2021

Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 7 — Target prediction of HGWD with GO and KEGG enrichment analysis. a The Venn diagram of disease targets and HGWD targets showed 158 key target proteins in the overlapping part, and the schematic diagram was displayed. b The top 10 significant terms respectively in GO biological process, cellular component and molecular function classification, and the order of importance was ranked from left to right by -log(p-value). c The top 25 significant terms in KEGG pathways enrichment. The molecule number of target genes enriched in the KEGG pathway was showed, and the order of importance was ranked from top to bottom by -log(p-value)