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Systematic elucidation of the mechanism of geraniol via network pharmacology
BACKGROUND: Geraniol is an acyclic monoterpene alcohol, which is extracted from the ethereal oils of aromatic plants. A systematic analysis of its mechanism of action has not yet been carried out. METHODS: In this study, the druggability of geraniol was assessed via Traditional Chinese Medicine Syst...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6455000/ https://www.ncbi.nlm.nih.gov/pubmed/31040644 http://dx.doi.org/10.2147/DDDT.S189088 |
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author | Zhang, Yun-Fei Huang, Yue Ni, Yi-Hua Xu, Zheng-Min |
author_facet | Zhang, Yun-Fei Huang, Yue Ni, Yi-Hua Xu, Zheng-Min |
author_sort | Zhang, Yun-Fei |
collection | PubMed |
description | BACKGROUND: Geraniol is an acyclic monoterpene alcohol, which is extracted from the ethereal oils of aromatic plants. A systematic analysis of its mechanism of action has not yet been carried out. METHODS: In this study, the druggability of geraniol was assessed via Traditional Chinese Medicine Systems Pharmacology Database (TCMSP), and the potential targets of geraniol were identified using the Comparative Toxicogenomics Database (CTD). Additionally, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed using WebGestalt. Drug-target-pathway networks were constructed using Cytoscape to give a visual view. RESULTS: Our findings showed that geraniol has superb druggability with 38 putative identified target genes. GO, KEGG, and network analyses revealed that these targets were associated with cancer, inflammatory immunoreactions, and other physiological processes. CONCLUSION: Geraniol is predicted to target multiple proteins and pathways that shape a network which can exert systematic pharmacological effects. |
format | Online Article Text |
id | pubmed-6455000 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-64550002019-04-30 Systematic elucidation of the mechanism of geraniol via network pharmacology Zhang, Yun-Fei Huang, Yue Ni, Yi-Hua Xu, Zheng-Min Drug Des Devel Ther Original Research BACKGROUND: Geraniol is an acyclic monoterpene alcohol, which is extracted from the ethereal oils of aromatic plants. A systematic analysis of its mechanism of action has not yet been carried out. METHODS: In this study, the druggability of geraniol was assessed via Traditional Chinese Medicine Systems Pharmacology Database (TCMSP), and the potential targets of geraniol were identified using the Comparative Toxicogenomics Database (CTD). Additionally, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed using WebGestalt. Drug-target-pathway networks were constructed using Cytoscape to give a visual view. RESULTS: Our findings showed that geraniol has superb druggability with 38 putative identified target genes. GO, KEGG, and network analyses revealed that these targets were associated with cancer, inflammatory immunoreactions, and other physiological processes. CONCLUSION: Geraniol is predicted to target multiple proteins and pathways that shape a network which can exert systematic pharmacological effects. Dove Medical Press 2019-04-04 /pmc/articles/PMC6455000/ /pubmed/31040644 http://dx.doi.org/10.2147/DDDT.S189088 Text en © 2019 Zhang et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Original Research Zhang, Yun-Fei Huang, Yue Ni, Yi-Hua Xu, Zheng-Min Systematic elucidation of the mechanism of geraniol via network pharmacology |
title | Systematic elucidation of the mechanism of geraniol via network pharmacology |
title_full | Systematic elucidation of the mechanism of geraniol via network pharmacology |
title_fullStr | Systematic elucidation of the mechanism of geraniol via network pharmacology |
title_full_unstemmed | Systematic elucidation of the mechanism of geraniol via network pharmacology |
title_short | Systematic elucidation of the mechanism of geraniol via network pharmacology |
title_sort | systematic elucidation of the mechanism of geraniol via network pharmacology |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6455000/ https://www.ncbi.nlm.nih.gov/pubmed/31040644 http://dx.doi.org/10.2147/DDDT.S189088 |
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