AURKB, CHEK1 and NEK2 as the Potential Target Proteins of Scutellaria barbata on Hepatocellular Carcinoma: An Integrated Bioinformatics Analysis.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34285555", "kind": "science-record", "revision": 7, "content_hash": "sha256:781d1e81a3ab036f9b45787fe1f0f6ff4f7bef221a0bb90b3e360ea21b213d04", "created_at": "2026-11-01T15:41:44Z", "updated_at": "2026-11-01T22:04:16Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "AURKB, CHEK1 and NEK2 as the Potential Target Proteins of Scutellaria barbata on Hepatocellular Carcinoma: An Integrated Bioinformatics Analysis.", "doi": "10.2147/IJGM.S318077", "pmid": "34285555", "authors": ["Chaoyuan Huang", "Hu Luo", "Yuancheng Huang", "Chongkai Fang", "Lina Zhao", "Peiwu Li", "Chong Zhong", "Fengbin Liu"], "journal": "International journal of general medicine", "year": 2021, "abstract": "OBJECTIVE: We aim to explore the potential anti-HCC mechanism of Scutellaria barbata through integrated bioinformatics analysis.\nMETHODS: We searched active ingredients and related targets of Scutellaria barbata via TCMSP database, PubChem and SwissTargetPrediction database. Then, we identified HCC disease targets from GEO dataset by WGCNA. Next, the intersected targets of disease targets and drug targets were input into STRING database to construct PPI networking in order to obtain potential therapeutic targets of Scutellaria barbata. Cytoscape software was used to carry out network topology analysis of potential targets. We used the R package for GO analysis and KEGG analysis. Finally, we used AutoDock vina and PyMOL software for molecular docking.\nRESULTS: Sixteen active components from Scutellaria barbata were lastly selected for further investigation. A total of 442 component targets were identified from 16 active ingredients of Scutellaria barbata after the removal of duplicate targets. GSE45436 was selected for construction of WGCNA and screening of differentially expressed genes. A total of 354 genes were up-regulated in HCC samples and 100 were down-regulated in HCC patients. Twenty-one common genes were obtained by intersection and 10 critical targets were filtered for further investigation. The enrichment analysis showed that cell cycle, DNA replication, p53 signaling pathway were mainly involved. The molecular docking results showed that 4 potential combinations were with the best binding energy and molecular interactions.\nCONCLUSION: AURKB, CHEK1 and NEK2 could be the potential target proteins of Scutellaria barbata in treating HCC. Cell cycle, DNA replication, p53 signaling pathway consist of the fundamental regulation cores in this mechanism.", "claims": [{"id": "claim-method", "statement": "We used the “Survival Analysis” module of GEPIA2 to obtain the OS (Overall Survival) and DFS (Disease FreeSurvival) Kaplan-Meier curve of potential target genes in HCC.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34285555", "locator": "sections[12] \"Prognostic Value of the Potential Target Genes of Scutellaria barbata\" paragraph 2", "quote": "We used the “Survival Analysis” module of GEPIA2 to obtain the OS (Overall Survival) and DFS (Disease FreeSurvival) Kaplan-Meier curve of potential target genes in HCC."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All data are available in the manuscript and they are shown in figures and tables.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34285555", "locator": "sections[24] \"Data Sharing Statement\" paragraph 2", "quote": "All data are available in the manuscript and they are shown in figures and tables."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": null, "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:34285555"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "blocked", "blocked_on": "data:accession_absent", "description": "The GEO series accession resolves and its sample accessions are listed. 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"bytes": 1029, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[16]/table-wrap[1]#t0002", "version": null, "note": "Cross Verification of the 10 Critical Target Genes and Compounds of Scutellaria barbata", "structure": {"pmcid": "PMC8285231", "section_index": 16, "section_title": "Construction of the Potential Anti-HCC Target Genes of Scutellaria barbata", "row_count": 17, "column_count": 3}, "table": {"label": "Table 2", "caption": "Cross Verification of the 10 Critical Target Genes and Compounds of Scutellaria barbata", "rows": [["No.", "Components in Scutellaria barbata", "Critical Targets Predicted in Swiss Target Prediction Database"], ["1", "5,7,4ʹ-trihydroxy-6-methoxyflavanone", "AURKA, CHEK1, CHEK1"], ["2", "5-hydroxy-7,8-dimethoxy-2-(4-methoxyphenyl)chromone", "AURKB, CDK1"], ["3", "7-hydroxy-5,8-dimethoxy-2-phenyl-chromone", "NEK2, AURKB, FEN1, CDK1, TOP2A"], ["4", "Baicalin", "TYMS, POLA1"], ["5", "CLR", 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