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<p>Utilizing the network pharmacology approach to investigate the anticervical cancer activity of apigenin, daidzein, and isokaempferide of <i>Glycyrrhiza glabra</i> Linn. methanolic extract. The systematic pharmacological analysis platform of Swiss Target and the HRMS/MS studies provided information about the active ingredients of <i>G. glabra</i> Linn and potential targets in the cervical cancer (CC). We mapped the CC and its targets using disease databases like GeneCards and DisGeNet, which are used for mining gene targets associated with CC, and screened the core targets. We built the protein-protein interaction network (PPI) using the Cytoscape and STRING databases. The ShinyGo web tool was used to conduct pathway enrichment analysis of overlapping targets for gene ontology (GO) and Kyoto Encyclopaedia of Gene and Genome (KEGG), cellular components, molecular functions, and their biological processes. The three constituents, apigenin, daidzein, and isokaempferide understand the primary therapeutic targets and roles of herbal decoctions in clinical settings, which correspond to a stronger binding affinity with the target of CC. The findings of our network pharmacology investigation made it clear that apigenin, daidzein, and isokaempferide of <i>G. glabra</i> Linn. methanolic extract may be used in anti-cervical cancer drug development.</p>

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Anti-cervical cancer potential of apigenin, daidzein, and isokaempferide of Glycyrrhiza glabra Linn. Methanolic extract via network pharmacological analysis

  • 期刊论文

  • 发表日期：

    2026年1月27日

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  • Sanjeet Kumar Pandit,
  • Binay Sen,
  • Pradeep Kumar,
  • Anima Tripathi,
  • Jasmeet Singh

摘要

Utilizing the network pharmacology approach to investigate the anticervical cancer activity of apigenin, daidzein, and isokaempferide of Glycyrrhiza glabra Linn. methanolic extract. The systematic pharmacological analysis platform of Swiss Target and the HRMS/MS studies provided information about the active ingredients of G. glabra Linn and potential targets in the cervical cancer (CC). We mapped the CC and its targets using disease databases like GeneCards and DisGeNet, which are used for mining gene targets associated with CC, and screened the core targets. We built the protein-protein interaction network (PPI) using the Cytoscape and STRING databases. The ShinyGo web tool was used to conduct pathway enrichment analysis of overlapping targets for gene ontology (GO) and Kyoto Encyclopaedia of Gene and Genome (KEGG), cellular components, molecular functions, and their biological processes. The three constituents, apigenin, daidzein, and isokaempferide understand the primary therapeutic targets and roles of herbal decoctions in clinical settings, which correspond to a stronger binding affinity with the target of CC. The findings of our network pharmacology investigation made it clear that apigenin, daidzein, and isokaempferide of G. glabra Linn. methanolic extract may be used in anti-cervical cancer drug development.