Systematic elucidation of the mechanism of geraniol via network pharmacology
Yun-Fei Zhang,* Yue Huang,* Yi-Hua Ni, Zheng-Min Xu Department of Otolaryngology-Head and Neck Surgery, Children’s Hospital of Fudan University, Shanghai, People’s Republic of China *These authors contributed equally to this work Background: Geraniol is an acyclic monoterpene...
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| Format: | Article |
| Language: | English |
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Dove Medical Press
2019-04-01
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| Series: | Drug Design, Development and Therapy |
| Subjects: | |
| Online Access: | https://www.dovepress.com/systematic-elucidation-of-the-mechanism-of-geraniol-via-network-pharma-peer-reviewed-article-DDDT |
| _version_ | 1828392862939611136 |
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| author | Zhang YF Huang Y Ni YH Xu ZM |
| author_facet | Zhang YF Huang Y Ni YH Xu ZM |
| author_sort | Zhang YF |
| collection | DOAJ |
| description | Yun-Fei Zhang,* Yue Huang,* Yi-Hua Ni, Zheng-Min Xu Department of Otolaryngology-Head and Neck Surgery, Children’s Hospital of Fudan University, Shanghai, People’s Republic of China *These authors contributed equally to this work 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. Keywords: geraniol, druggability, target prediction, enrichment analysis, network pharmacology |
| first_indexed | 2024-12-10T07:28:54Z |
| format | Article |
| id | doaj.art-c7da7dc785ef4d80b657d55bc495369f |
| institution | Directory Open Access Journal |
| issn | 1177-8881 |
| language | English |
| last_indexed | 2024-12-10T07:28:54Z |
| publishDate | 2019-04-01 |
| publisher | Dove Medical Press |
| record_format | Article |
| series | Drug Design, Development and Therapy |
| spelling | doaj.art-c7da7dc785ef4d80b657d55bc495369f2022-12-22T01:57:38ZengDove Medical PressDrug Design, Development and Therapy1177-88812019-04-01Volume 131069107544920Systematic elucidation of the mechanism of geraniol via network pharmacologyZhang YFHuang YNi YHXu ZMYun-Fei Zhang,* Yue Huang,* Yi-Hua Ni, Zheng-Min Xu Department of Otolaryngology-Head and Neck Surgery, Children’s Hospital of Fudan University, Shanghai, People’s Republic of China *These authors contributed equally to this work 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. Keywords: geraniol, druggability, target prediction, enrichment analysis, network pharmacologyhttps://www.dovepress.com/systematic-elucidation-of-the-mechanism-of-geraniol-via-network-pharma-peer-reviewed-article-DDDTGeranioldruggabilitytarget predictionenrichment analysisnetwork pharmacology |
| spellingShingle | Zhang YF Huang Y Ni YH Xu ZM Systematic elucidation of the mechanism of geraniol via network pharmacology Drug Design, Development and Therapy Geraniol druggability target prediction enrichment analysis 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 | Geraniol druggability target prediction enrichment analysis network pharmacology |
| url | https://www.dovepress.com/systematic-elucidation-of-the-mechanism-of-geraniol-via-network-pharma-peer-reviewed-article-DDDT |
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