{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Wu Y"],"funding":["Natural Science Research of Jiangsu Higher Education Institutions of China","Natural Science Foundation of Jiangsu Province"],"pagination":["182"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10239169"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["23(1)"],"pubmed_abstract":["<h4>Background</h4>Ji Chuan Jian (JCJ), a classic Traditional Chinese Medicine (TCM) formula, has been widely applied in treating Parkinson's disease (PD) in China, However, the interaction of bioactive compounds from JCJ with the targets involved in PD remains elusive.<h4>Methods</h4>Based on the transcriptome sequencing and network pharmacology approaches, the chemical compounds of JCJ and gene targets for treating PD were identified. Then, the Protein-protein interaction (PPI) and \"Compound-Disease-Target\" (C-D-T) network were constructed by using of Cytoscape. Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were applied to these target proteins. Finally, AutoDock Vina was used for applying molecular docking.<h4>Resul"],"journal":["BMC complementary medicine and therapies"],"pubmed_title":["Transcriptome sequencing and network pharmacology-based approach to reveal the effect and mechanism of Ji Chuan Jian against Parkinson's disease."],"pmcid":["PMC10239169"],"funding_grant_id":["22KJB360003","BK20220469"],"pubmed_authors":["Huang S","Tang L","Hu Y","Zhang Z","Lu Y","Liang Y","Xu C","Bai Y","Wu Y","Zhao Y"],"additional_accession":[]},"is_claimable":false,"name":"Transcriptome sequencing and network pharmacology-based approach to reveal the effect and mechanism of Ji Chuan Jian against Parkinson's disease.","description":"<h4>Background</h4>Ji Chuan Jian (JCJ), a classic Traditional Chinese Medicine (TCM) formula, has been widely applied in treating Parkinson's disease (PD) in China, However, the interaction of bioactive compounds from JCJ with the targets involved in PD remains elusive.<h4>Methods</h4>Based on the transcriptome sequencing and network pharmacology approaches, the chemical compounds of JCJ and gene targets for treating PD were identified. Then, the Protein-protein interaction (PPI) and \"Compound-Disease-Target\" (C-D-T) network were constructed by using of Cytoscape. Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were applied to these target proteins. Finally, AutoDock Vina was used for applying molecular docking.<h4>Resul","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Jun","modification":"2026-07-14T22:20:47.536Z","creation":"2025-04-19T15:04:45.263Z"},"accession":"S-EPMC10239169","cross_references":{"pubmed":["37270490"],"doi":["10.1186/s12906-023-03999-6"]}}