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Network pharmacology prediction and molecular docking-based strategy to discover the potential pharmacological mechanism of action of Wang Bu Liu Xing (Semen vaccariae) for colorectal cancer
BACKGROUND: Colorectal cancer (CRC) is the leading cause of cancer-related death worldwide. Wang Bu Liu Xing [Semen vaccariae (SV)] is a traditional Chinese medicine (TCM) ingredient with anti-angiogenic and anti-tumor effects. However, little research has been done on the ingredients found in SV or...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186540/ https://www.ncbi.nlm.nih.gov/pubmed/37201075 http://dx.doi.org/10.21037/jgo-23-83 |
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author | Shi, Yongquan Zhang, Yunshu Liu, Jifeng Zhao, Yanping Liu, Wei |
author_facet | Shi, Yongquan Zhang, Yunshu Liu, Jifeng Zhao, Yanping Liu, Wei |
author_sort | Shi, Yongquan |
collection | PubMed |
description | BACKGROUND: Colorectal cancer (CRC) is the leading cause of cancer-related death worldwide. Wang Bu Liu Xing [Semen vaccariae (SV)] is a traditional Chinese medicine (TCM) ingredient with anti-angiogenic and anti-tumor effects. However, little research has been done on the ingredients found in SV or the putative process by which SV fights CRC, and this paper aims to reveal the components of SV that are effective in treating CRC. METHODS: The open database and online platform were used in this study, Symptom Mapping (SymMap) and Traditional Chinese Medicine Systems Pharmacology (TCMSP) for SV ingredient and targets, Gene Expression Omnibus (GEO) for differentially expressed genes (DEGs) of CRC, Database for Annotation Visualization and Integrated Discovery (DAVID) for Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, STRING-Cytoscape for protein-protein interaction (PPI), AutoDockTools for Molecular docking and others. were conducted to determine how SV affects CRC and what are the most important components, potential targets, and signaling pathways. RESULTS: The findings of the network pharmacology study indicated that swerchirin and CDK2 potential target gene for SV was connected to anti-CRC actions. SV may inhibit CRC by interacting with crucial targets like BCL2L1, CDK2, and SERPINE1. Additionally, KEGG analysis revealed that the p53 signaling pathway may be a driver of the anti-CRC impact of SV. Molecular docking showed that swerchirin can bind with its target protein in a good bond by intermolecular force. CONCLUSIONS: In this study, the pharmacological effects of SV were examined, along with its potential therapeutic impact on CRC. These effects of SV appear to be mediated via a variety of substances, targets, and pathways. SV exerts pharmacological effects in CRC, p53 signaling pathway is great value. The main molecular docking is CDK2 and swerchirin. Moreover, our research offers a promising method for characterizing therapeutic pathways and identifying molecules in TCM. |
format | Online Article Text |
id | pubmed-10186540 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-101865402023-05-17 Network pharmacology prediction and molecular docking-based strategy to discover the potential pharmacological mechanism of action of Wang Bu Liu Xing (Semen vaccariae) for colorectal cancer Shi, Yongquan Zhang, Yunshu Liu, Jifeng Zhao, Yanping Liu, Wei J Gastrointest Oncol Original Article BACKGROUND: Colorectal cancer (CRC) is the leading cause of cancer-related death worldwide. Wang Bu Liu Xing [Semen vaccariae (SV)] is a traditional Chinese medicine (TCM) ingredient with anti-angiogenic and anti-tumor effects. However, little research has been done on the ingredients found in SV or the putative process by which SV fights CRC, and this paper aims to reveal the components of SV that are effective in treating CRC. METHODS: The open database and online platform were used in this study, Symptom Mapping (SymMap) and Traditional Chinese Medicine Systems Pharmacology (TCMSP) for SV ingredient and targets, Gene Expression Omnibus (GEO) for differentially expressed genes (DEGs) of CRC, Database for Annotation Visualization and Integrated Discovery (DAVID) for Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, STRING-Cytoscape for protein-protein interaction (PPI), AutoDockTools for Molecular docking and others. were conducted to determine how SV affects CRC and what are the most important components, potential targets, and signaling pathways. RESULTS: The findings of the network pharmacology study indicated that swerchirin and CDK2 potential target gene for SV was connected to anti-CRC actions. SV may inhibit CRC by interacting with crucial targets like BCL2L1, CDK2, and SERPINE1. Additionally, KEGG analysis revealed that the p53 signaling pathway may be a driver of the anti-CRC impact of SV. Molecular docking showed that swerchirin can bind with its target protein in a good bond by intermolecular force. CONCLUSIONS: In this study, the pharmacological effects of SV were examined, along with its potential therapeutic impact on CRC. These effects of SV appear to be mediated via a variety of substances, targets, and pathways. SV exerts pharmacological effects in CRC, p53 signaling pathway is great value. The main molecular docking is CDK2 and swerchirin. Moreover, our research offers a promising method for characterizing therapeutic pathways and identifying molecules in TCM. AME Publishing Company 2023-04-24 2023-04-29 /pmc/articles/PMC10186540/ /pubmed/37201075 http://dx.doi.org/10.21037/jgo-23-83 Text en 2023 Journal of Gastrointestinal Oncology. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Shi, Yongquan Zhang, Yunshu Liu, Jifeng Zhao, Yanping Liu, Wei Network pharmacology prediction and molecular docking-based strategy to discover the potential pharmacological mechanism of action of Wang Bu Liu Xing (Semen vaccariae) for colorectal cancer |
title | Network pharmacology prediction and molecular docking-based strategy to discover the potential pharmacological mechanism of action of Wang Bu Liu Xing (Semen vaccariae) for colorectal cancer |
title_full | Network pharmacology prediction and molecular docking-based strategy to discover the potential pharmacological mechanism of action of Wang Bu Liu Xing (Semen vaccariae) for colorectal cancer |
title_fullStr | Network pharmacology prediction and molecular docking-based strategy to discover the potential pharmacological mechanism of action of Wang Bu Liu Xing (Semen vaccariae) for colorectal cancer |
title_full_unstemmed | Network pharmacology prediction and molecular docking-based strategy to discover the potential pharmacological mechanism of action of Wang Bu Liu Xing (Semen vaccariae) for colorectal cancer |
title_short | Network pharmacology prediction and molecular docking-based strategy to discover the potential pharmacological mechanism of action of Wang Bu Liu Xing (Semen vaccariae) for colorectal cancer |
title_sort | network pharmacology prediction and molecular docking-based strategy to discover the potential pharmacological mechanism of action of wang bu liu xing (semen vaccariae) for colorectal cancer |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186540/ https://www.ncbi.nlm.nih.gov/pubmed/37201075 http://dx.doi.org/10.21037/jgo-23-83 |
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