Essential oil-derived compounds target core fatigue-related genes: A network pharmacology and molecular Docking approach.

Fatigue is a widespread condition associated with various health issues, yet identifying specific bioactive compounds for its management remains challenging. This study integrates network pharmacology and molecular docking to uncover essential oil-derived compounds with potential antifatigue propert...

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Main Authors: Gyaltsen Dakpa, Yu-Ting Chiang, Li-Yin Lin, Nai-Wen Tsao, Chung-Hsuan Wang, Horacio Pérez-Sánchez, Jorge Ricardo Alonso Fernández, Sheng-Yang Wang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0314125
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author Gyaltsen Dakpa
Yu-Ting Chiang
Li-Yin Lin
Nai-Wen Tsao
Chung-Hsuan Wang
Horacio Pérez-Sánchez
Jorge Ricardo Alonso Fernández
Sheng-Yang Wang
author_facet Gyaltsen Dakpa
Yu-Ting Chiang
Li-Yin Lin
Nai-Wen Tsao
Chung-Hsuan Wang
Horacio Pérez-Sánchez
Jorge Ricardo Alonso Fernández
Sheng-Yang Wang
author_sort Gyaltsen Dakpa
collection DOAJ
description Fatigue is a widespread condition associated with various health issues, yet identifying specific bioactive compounds for its management remains challenging. This study integrates network pharmacology and molecular docking to uncover essential oil-derived compounds with potential antifatigue properties by targeting key genes and molecular pathways. A comprehensive analysis of 872 essential oil compounds was conducted using PubChem, with target prediction via SwissTargetPrediction. The protein-protein interaction (PPI) network and KEGG pathway analysis identified core fatigue-related targets, including ALB, BCL2, EGFR, IL-6, and STAT3, in metabolic dysregulation and inflammatory responses linked to fatigue. Molecular docking exhibits strong binding affinity between key compounds such as Calamenene, T-cadinol, and Bornyl acetate and core targets, suggesting their potential antifatigue effects. However, ADMET analysis confirmed T-cadinol's drug-likeness, suggesting good bioavailability and minimal toxicity risks. Thus, molecular docking revealed high binding affinity, which was further validated through a 100 ns MD simulation and demonstrated stable interactions with low root mean square deviation (RMSD). Additionally, hydrogen bond analysis confirmed that T-cadinol maintained consistent interactions with key residues such as Thr-790 in EGFR, Arg-222 in ALB, and Arg-104 in IL-6, indicating strong binding stability. While this study provides valuable computational insights, further in vitro and in vivo validation is necessary to confirm these findings and explore potential therapeutic applications.
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spelling doaj-art-3ba2b382d21b45f2a6c8f8021396c4412025-08-20T02:22:26ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01205e031412510.1371/journal.pone.0314125Essential oil-derived compounds target core fatigue-related genes: A network pharmacology and molecular Docking approach.Gyaltsen DakpaYu-Ting ChiangLi-Yin LinNai-Wen TsaoChung-Hsuan WangHoracio Pérez-SánchezJorge Ricardo Alonso FernándezSheng-Yang WangFatigue is a widespread condition associated with various health issues, yet identifying specific bioactive compounds for its management remains challenging. This study integrates network pharmacology and molecular docking to uncover essential oil-derived compounds with potential antifatigue properties by targeting key genes and molecular pathways. A comprehensive analysis of 872 essential oil compounds was conducted using PubChem, with target prediction via SwissTargetPrediction. The protein-protein interaction (PPI) network and KEGG pathway analysis identified core fatigue-related targets, including ALB, BCL2, EGFR, IL-6, and STAT3, in metabolic dysregulation and inflammatory responses linked to fatigue. Molecular docking exhibits strong binding affinity between key compounds such as Calamenene, T-cadinol, and Bornyl acetate and core targets, suggesting their potential antifatigue effects. However, ADMET analysis confirmed T-cadinol's drug-likeness, suggesting good bioavailability and minimal toxicity risks. Thus, molecular docking revealed high binding affinity, which was further validated through a 100 ns MD simulation and demonstrated stable interactions with low root mean square deviation (RMSD). Additionally, hydrogen bond analysis confirmed that T-cadinol maintained consistent interactions with key residues such as Thr-790 in EGFR, Arg-222 in ALB, and Arg-104 in IL-6, indicating strong binding stability. While this study provides valuable computational insights, further in vitro and in vivo validation is necessary to confirm these findings and explore potential therapeutic applications.https://doi.org/10.1371/journal.pone.0314125
spellingShingle Gyaltsen Dakpa
Yu-Ting Chiang
Li-Yin Lin
Nai-Wen Tsao
Chung-Hsuan Wang
Horacio Pérez-Sánchez
Jorge Ricardo Alonso Fernández
Sheng-Yang Wang
Essential oil-derived compounds target core fatigue-related genes: A network pharmacology and molecular Docking approach.
PLoS ONE
title Essential oil-derived compounds target core fatigue-related genes: A network pharmacology and molecular Docking approach.
title_full Essential oil-derived compounds target core fatigue-related genes: A network pharmacology and molecular Docking approach.
title_fullStr Essential oil-derived compounds target core fatigue-related genes: A network pharmacology and molecular Docking approach.
title_full_unstemmed Essential oil-derived compounds target core fatigue-related genes: A network pharmacology and molecular Docking approach.
title_short Essential oil-derived compounds target core fatigue-related genes: A network pharmacology and molecular Docking approach.
title_sort essential oil derived compounds target core fatigue related genes a network pharmacology and molecular docking approach
url https://doi.org/10.1371/journal.pone.0314125
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