2020
DOI: 10.1155/2020/6219432
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Systematic Elucidation of the Potential Mechanism of Erzhi Pill against Drug‐Induced Liver Injury via Network Pharmacology Approach

Abstract: Objective. e purpose of this work was to investigate the bioactive compounds, core genes, and pharmacological mechanisms and to provide a further research orientation of Erzhi pill (EZP) on drug-induced liver injury (DILI). Methods. At first, we collected information of bioactive compounds of EZP from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and previous studies. And then, the targets related to bioactive compounds and DILI were obtained from 4 public databases. … Show more

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Cited by 21 publications
(21 citation statements)
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“…Firstly, we searched the CAS IDs and canonical SMILES strings of the major constituents including 2-Hexaprenyl-6-methoxy-1,4-benzoquinone, 4-Amino-1-piperidinecarboxylic acid, 5-Megastigmen-7-yne-3, 9-diol 3-glucoside, Corchoionoside B, Ilicifolinoside A, Moclobemide, Molludistin 2″-rhamnoside, Perilloside C, Sampangine, Solanolone, Sterol, 2-Dodecylbenzenesulfonic acid, 3,4′,5-Trihydroxy-3′,7-dimethoxyflavanone, 3-O-Caffeoyl-1-O-methylquinic acid, Carvyl propionate, Eremopetasidione, Glucoliquiritin apioside, Inulobiose, Isoliquiritin, Naringin 6″-rhamnoside and Neolicurosidein YH decoction on Pubchem database ( https://pubchem.ncbi.nlm.nih.gov/ ) ( Zhang et al, 2020 ). Afterward, the canonical SMILES strings were imported into the Swiss TargetPrediction tool ( www.swisstargetprediction.ch/ ), a web server for potential drug target prediction by reversed pharmacophore matching query compound against an in-house pharmacophore model database, in order to predict the potential targets of each major compound ( Huang et al, 2020 ). Furthermore, we applied R software version 4.0.2 ( http://www.r-project.org ) with several R packages, including clusterProfifiler ( Yu et al, 2012 ) and org.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Firstly, we searched the CAS IDs and canonical SMILES strings of the major constituents including 2-Hexaprenyl-6-methoxy-1,4-benzoquinone, 4-Amino-1-piperidinecarboxylic acid, 5-Megastigmen-7-yne-3, 9-diol 3-glucoside, Corchoionoside B, Ilicifolinoside A, Moclobemide, Molludistin 2″-rhamnoside, Perilloside C, Sampangine, Solanolone, Sterol, 2-Dodecylbenzenesulfonic acid, 3,4′,5-Trihydroxy-3′,7-dimethoxyflavanone, 3-O-Caffeoyl-1-O-methylquinic acid, Carvyl propionate, Eremopetasidione, Glucoliquiritin apioside, Inulobiose, Isoliquiritin, Naringin 6″-rhamnoside and Neolicurosidein YH decoction on Pubchem database ( https://pubchem.ncbi.nlm.nih.gov/ ) ( Zhang et al, 2020 ). Afterward, the canonical SMILES strings were imported into the Swiss TargetPrediction tool ( www.swisstargetprediction.ch/ ), a web server for potential drug target prediction by reversed pharmacophore matching query compound against an in-house pharmacophore model database, in order to predict the potential targets of each major compound ( Huang et al, 2020 ). Furthermore, we applied R software version 4.0.2 ( http://www.r-project.org ) with several R packages, including clusterProfifiler ( Yu et al, 2012 ) and org.…”
Section: Methodsmentioning
confidence: 99%
“…Afterward, the canonical SMILES strings were imported into the Swiss TargetPrediction tool (www. swisstargetprediction.ch/), a web server for potential drug target prediction by reversed pharmacophore matching query compound against an in-house pharmacophore model database, in order to predict the potential targets of each major compound (Huang et al, 2020). Furthermore, we applied R software version 4.0.2 (http:// www.r-project.org) with several R packages, including clusterProfifiler (Yu et al, 2012) and org.…”
Section: Network Pharmacology Analysis Of Yh In Ait Treatmentmentioning
confidence: 99%
“…According to a previous report, the key word ‘drug-induced liver injury’ was imported to DrugBank ( https://go.drugbank.com/drugs ), GeneCards ( https://www.genecards.org/ ) and OMIM ( https://www.omim.org/ ) database to acquire liver injury related targets, among of which the repetitions were removed (Huang et al. 2020 ).…”
Section: Methodsmentioning
confidence: 99%
“…Information of the bioactive compounds in SXZKF was obtained from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP, http://lsp.nwu.edu.cn/tcmsp.php ) and Bioinformatics Analysis Tool for Molecular mechanism of Traditional Chinese Medicine (BATMAN-TCM, http://bionet.ncpsb.org/batman-tcm/ ) [ 8 ]. The active ingredients of SXZKF were filtered using the following criteria: (i) oral bioavailability (OB) ≥ 30% and (ii) drug-likeness (DL) ≥ 0.18 [ 9 , 10 ]. Other ingredients were obtained through literature analysis [ 11 , 12 ].…”
Section: Methodsmentioning
confidence: 99%