Background. Although the traditional Chinese medicine Prunella vulgaris may be effective in treating lymphoma, its mechanism of action remains unclear. The purpose of this paper is to explore the mechanism of Prunella vulgaris against lymphoma by combining network pharmacology and molecular docking. Methods. The potential active ingredients of Prunella vulgaris were queried in the TCMSP database. Lymphoma-related genes were searched in the DisgeNet database. After removing the duplicates, the remaining active targets were compared with lymphoma genes to obtain the key target and analyzed using a Venn map. Building a network of protein interactions through String platforms. The GO and KEGG databases were used for enrichment analysis of the key targets with the help of the DAVID analysis platform. Results. A total of 39 potentially active components and 125 targets were identified from Prunella vulgaris, 7592 lymphoma-related target genes, and 101 key target genes for the intersection of Prunella vulgaris and lymphoma. GO entries were related to biological processes including enzyme binding, protein binding, positive regulation of transcription, regulation of cell proliferation, and negative regulation of cell death. KEGG analysis identified the signalling pathways of HIF-1, estrogen, NOD-like receptors, PI3K-Akt, and TNF. The binding between the selected compounds and the target molecules was modelled by molecular docking. Conclusion. Through network pharmacology, it is predicted that Prunella vulgaris may regulate multiple signalling pathways through numerous targets, and thereby affect the functions of multiple cells and playing a role in the treatment of lymphoma.
| Published in | Cancer Research Journal (Volume 9, Issue 3) |
| DOI | 10.11648/j.crj.20210903.14 |
| Page(s) | 154-161 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2021. Published by Science Publishing Group |
Prunella Vulgaris, Lymphoma, Network Pharmacology, Molecular Docking
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APA Style
Xiaohong Wu, Huiling Song, Aixia Sui, Xinyu Zhao, Hongtao Zhang. (2021). To Explore the Mechanism of Prunella Vulgaris on Lymphoma Based on Network Pharmacology and Molecular Docking. Cancer Research Journal, 9(3), 154-161. https://doi.org/10.11648/j.crj.20210903.14
ACS Style
Xiaohong Wu; Huiling Song; Aixia Sui; Xinyu Zhao; Hongtao Zhang. To Explore the Mechanism of Prunella Vulgaris on Lymphoma Based on Network Pharmacology and Molecular Docking. Cancer Res. J. 2021, 9(3), 154-161. doi: 10.11648/j.crj.20210903.14
AMA Style
Xiaohong Wu, Huiling Song, Aixia Sui, Xinyu Zhao, Hongtao Zhang. To Explore the Mechanism of Prunella Vulgaris on Lymphoma Based on Network Pharmacology and Molecular Docking. Cancer Res J. 2021;9(3):154-161. doi: 10.11648/j.crj.20210903.14
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Download@article{10.11648/j.crj.20210903.14,
author = {Xiaohong Wu and Huiling Song and Aixia Sui and Xinyu Zhao and Hongtao Zhang},
title = {To Explore the Mechanism of Prunella Vulgaris on Lymphoma Based on Network Pharmacology and Molecular Docking},
journal = {Cancer Research Journal},
volume = {9},
number = {3},
pages = {154-161},
doi = {10.11648/j.crj.20210903.14},
url = {https://doi.org/10.11648/j.crj.20210903.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.crj.20210903.14},
abstract = {Background. Although the traditional Chinese medicine Prunella vulgaris may be effective in treating lymphoma, its mechanism of action remains unclear. The purpose of this paper is to explore the mechanism of Prunella vulgaris against lymphoma by combining network pharmacology and molecular docking. Methods. The potential active ingredients of Prunella vulgaris were queried in the TCMSP database. Lymphoma-related genes were searched in the DisgeNet database. After removing the duplicates, the remaining active targets were compared with lymphoma genes to obtain the key target and analyzed using a Venn map. Building a network of protein interactions through String platforms. The GO and KEGG databases were used for enrichment analysis of the key targets with the help of the DAVID analysis platform. Results. A total of 39 potentially active components and 125 targets were identified from Prunella vulgaris, 7592 lymphoma-related target genes, and 101 key target genes for the intersection of Prunella vulgaris and lymphoma. GO entries were related to biological processes including enzyme binding, protein binding, positive regulation of transcription, regulation of cell proliferation, and negative regulation of cell death. KEGG analysis identified the signalling pathways of HIF-1, estrogen, NOD-like receptors, PI3K-Akt, and TNF. The binding between the selected compounds and the target molecules was modelled by molecular docking. Conclusion. Through network pharmacology, it is predicted that Prunella vulgaris may regulate multiple signalling pathways through numerous targets, and thereby affect the functions of multiple cells and playing a role in the treatment of lymphoma.},
year = {2021}
}
TY - JOUR T1 - To Explore the Mechanism of Prunella Vulgaris on Lymphoma Based on Network Pharmacology and Molecular Docking AU - Xiaohong Wu AU - Huiling Song AU - Aixia Sui AU - Xinyu Zhao AU - Hongtao Zhang Y1 - 2021/07/13 PY - 2021 N1 - https://doi.org/10.11648/j.crj.20210903.14 DO - 10.11648/j.crj.20210903.14 T2 - Cancer Research Journal JF - Cancer Research Journal JO - Cancer Research Journal SP - 154 EP - 161 PB - Science Publishing Group SN - 2330-8214 UR - https://doi.org/10.11648/j.crj.20210903.14 AB - Background. Although the traditional Chinese medicine Prunella vulgaris may be effective in treating lymphoma, its mechanism of action remains unclear. The purpose of this paper is to explore the mechanism of Prunella vulgaris against lymphoma by combining network pharmacology and molecular docking. Methods. The potential active ingredients of Prunella vulgaris were queried in the TCMSP database. Lymphoma-related genes were searched in the DisgeNet database. After removing the duplicates, the remaining active targets were compared with lymphoma genes to obtain the key target and analyzed using a Venn map. Building a network of protein interactions through String platforms. The GO and KEGG databases were used for enrichment analysis of the key targets with the help of the DAVID analysis platform. Results. A total of 39 potentially active components and 125 targets were identified from Prunella vulgaris, 7592 lymphoma-related target genes, and 101 key target genes for the intersection of Prunella vulgaris and lymphoma. GO entries were related to biological processes including enzyme binding, protein binding, positive regulation of transcription, regulation of cell proliferation, and negative regulation of cell death. KEGG analysis identified the signalling pathways of HIF-1, estrogen, NOD-like receptors, PI3K-Akt, and TNF. The binding between the selected compounds and the target molecules was modelled by molecular docking. Conclusion. Through network pharmacology, it is predicted that Prunella vulgaris may regulate multiple signalling pathways through numerous targets, and thereby affect the functions of multiple cells and playing a role in the treatment of lymphoma. VL - 9 IS - 3 ER -
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