2022
DOI: 10.1016/j.jep.2021.114851
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Isolation and identification of the components in Cybister chinensis Motschulsky against inflammation and their mechanisms of action based on network pharmacology and molecular docking

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Cited by 10 publications
(8 citation statements)
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“…Based on the network pharmacology, Che et al. (2022) found that the ethyl acetate extract of Cybister Chinensis , including nine compounds (benzoic acid, protocatechualdehyde, and 3‐phenylpropionic acid), could relieve the inflammation through multi‐compounds and multi‐pathways. Our results showed that the anti‐inflammatory targets of key compounds in different fractions of coffee leaves were more related to cancer.…”
Section: Resultsmentioning
confidence: 99%
“…Based on the network pharmacology, Che et al. (2022) found that the ethyl acetate extract of Cybister Chinensis , including nine compounds (benzoic acid, protocatechualdehyde, and 3‐phenylpropionic acid), could relieve the inflammation through multi‐compounds and multi‐pathways. Our results showed that the anti‐inflammatory targets of key compounds in different fractions of coffee leaves were more related to cancer.…”
Section: Resultsmentioning
confidence: 99%
“…Considering the evidence for angiogenesis, the target genes associated with "Coronary artery disease" (CAD) were collected using the DisGeNET (http://www.disgenet.org/) and GeneCards (https://www.genecards.org/) databases. The candidate targets were inputted to String 11.5 (https://string-db.org/) to obtain the relevant information on protein interactions [39]. Furthermore, a compound-target network was constructed by employing Cytoscape 3.6.1. to study the therapeutic mechanism of CAD.…”
Section: Target Database Construction and Bioinformatics Analysismentioning
confidence: 99%
“…Finally, save the results as pdbqt files. (3) Docking parameter settings: Referring to the original ligand binding site in the file, get the molecular docking coordinates and the size of the docking box, [39,40] set num_ modes to 20, exhaustiveness to 10, and other parameters to their default settings. (4) Docking and result processing: The best affinity conformation was chosen as the final docking conformation using Autodockvina 1.1.2, [41,42] and the picture of the best conformation was created using Pymol 2.6.0 free source software.…”
Section: Molecular Dockingmentioning
confidence: 99%