{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["16"],"submitter":["Prajapati PM"],"pubmed_abstract":["Hepatocellular carcinoma is a multifaceted and lethal malignancy, ranking third in cancer-related mortality and sixth in worldwide incidence. This study aimed to utilize LCMS-QTOF analysis to identify the phytoconstituents of <i>C. lancifolius</i> across three distinct seasons. The study also sought to elucidate the multi-layered mechanism of action against hepatocellular carcinoma using network pharmacology analysis, molecular docking, and molecular dynamics simulation. A total of 352 phytoconstituents were identified in the extract of <i>Conocarpus lancifolius</i>, of which 154 compounds were chosen for subsequent <i>in silico</i> analysis. Network construction and Gene Ontology (GO) enrichment analysis were performed using ShinyGo and the KEGG database, while Cytoscape 3.10.2 was employ"],"journal":["Frontiers in pharmacology"],"pagination":["1582374"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12209259"],"repository":["biostudies-literature"],"pubmed_title":["Decoding the therapeutic mechanism of &lt;i&gt;Conocarpus lancifolius&lt;/i&gt; in hepatocellular carcinoma: network pharmacology, molecular docking, and LC-MS QTOF insights."],"pmcid":["PMC12209259"],"pubmed_authors":["Patel SK","Hamid R","Lakhani KG","Prajapati PM","Maitreya BB","Rawal RM"],"additional_accession":[]},"is_claimable":false,"name":"Decoding the therapeutic mechanism of &lt;i&gt;Conocarpus lancifolius&lt;/i&gt; in hepatocellular carcinoma: network pharmacology, molecular docking, and LC-MS QTOF insights.","description":"Hepatocellular carcinoma is a multifaceted and lethal malignancy, ranking third in cancer-related mortality and sixth in worldwide incidence. This study aimed to utilize LCMS-QTOF analysis to identify the phytoconstituents of <i>C. lancifolius</i> across three distinct seasons. The study also sought to elucidate the multi-layered mechanism of action against hepatocellular carcinoma using network pharmacology analysis, molecular docking, and molecular dynamics simulation. A total of 352 phytoconstituents were identified in the extract of <i>Conocarpus lancifolius</i>, of which 154 compounds were chosen for subsequent <i>in silico</i> analysis. Network construction and Gene Ontology (GO) enrichment analysis were performed using ShinyGo and the KEGG database, while Cytoscape 3.10.2 was employ","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025","modification":"2026-06-01T15:40:10.362Z","creation":"2026-04-08T13:41:57.273Z"},"accession":"S-EPMC12209259","cross_references":{"pubmed":["40599803"],"doi":["10.3389/fphar.2025.1582374"]}}