Network pharmacology was used to identify active ingredients from ZRGCDMD, identify disease-associated targets, and analyze enriched pathways. In this paper it serves as the main computational framework for multitarget mechanism discovery.
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network pharmacology
Candidate: toolkit itemType: computation method1 source documents4 linked claims
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Network pharmacology identified 244 active ingredients from ZRGCDMD.
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Using network pharmacology, 244 active ingredients were identified from ZRGCDMD
Eighty-eight targets associated with depression comorbid with insomnia were identified.
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Additionally, 88 targets associated with depression comorbid with insomnia were identified.
Zao Ren Gan Cao Da Mai decoction was studied with network pharmacology and molecular docking to explore its multitarget mechanism in insomnia comorbid with depression.
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This study employs network pharmacology and molecular docking techniques to uncover the mechanisms by which ZRGCDMD treats depression associated with insomnia.
GO and KEGG analyses indicated that ZRGCDMD may act through neuroactive ligand-receptor interactions, lipid metabolism, and the AGE-RAGE signaling pathway.
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Gene ontology and Kyoto encyclopedia of genes and genomes analyses revealed that ZRGCDMD operates through pathways including neuroactive ligand-receptor interactions, lipid metabolism, and the AGE-RAGE signaling pathway.