2022
DOI: 10.3390/plants11233243
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Metabolomics and Network Pharmacology in the Exploration of the Multi-Targeted Therapeutic Approach of Traditional Medicinal Plants

Abstract: Metabolomic is generally characterized as a comprehensive and the most copious analytical technique for the identification of targeted and untargeted metabolite diversity in a biological system. Recently, it has exponentially been used for phytochemical analysis and variability among plant metabolites, followed by chemometric analysis. Network pharmacology analysis is a computational technique used for the determination of multi-mechanistic and therapeutic evaluation of chemicals via interaction with the genom… Show more

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Cited by 12 publications
(2 citation statements)
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“… 7 , 14 Network pharmacology is an emerging bioinformatic tool in drug discovery and development. 15 Via functional enrichment analysis, biological functions of traditional medicine containing numerous multi-targeted chemicals could be evaluated. 16 In this study, we tried to verify the potential underlying mechanism of MO through the network pharmacology analysis and confirmed in animal experiments.…”
Section: Discussionmentioning
confidence: 99%
“… 7 , 14 Network pharmacology is an emerging bioinformatic tool in drug discovery and development. 15 Via functional enrichment analysis, biological functions of traditional medicine containing numerous multi-targeted chemicals could be evaluated. 16 In this study, we tried to verify the potential underlying mechanism of MO through the network pharmacology analysis and confirmed in animal experiments.…”
Section: Discussionmentioning
confidence: 99%
“…Metabolomics is a powerful tool to discover new active molecules from traditionally used plant species, allowing non-targeted phytochemical analysis and with the assistance of network analysis and other computational approaches can help predict bioactivity (Makunga et al, 2022 ; Sharma & Yadav, 2022 ). The most commonly used profiling tools are nuclear magnetic resonance spectroscopy and various chromatographic techniques, such as LC–MS/MS and GC–MS/MS, followed by in silico analyses.…”
Section: Introductionmentioning
confidence: 99%