![]() In addition to its structural properties, collagen plays important biological roles in the extracellular matrix (ECM). 2 Close modalĬollagen forms rodlike triple-helical molecules which assemble into cross-linked fibrils that provide mechanical strength to tissues. The central electron micrograph of collagen fibrils is from Gross and Schmitt. BMP, bone morphogenetic protein BSP, bone sialoprotein DDR, discoidin domain receptor GAG, glycoaminoglycan GPVI, glycoprotein VI HSP, heat shock protein HYAL, hyaluronidase LAIR-1, leukocyte-associated immunoglobulin-like receptor-1 LOX, lysyl oxidase LRC, leukocyte receptor complex MMP, matrix metalloproteinase PCPE, procollagen C-proteinase enhancer PDGF, platelet-derived grwoth factor PEDF, pigment epithelium-derived factor PG, proteoglycan SPARC, secreted protein acidic and rich in cysteine THBS, thrombospondins VWF, von Willebrand factor. ![]() ![]() Molecules connected to collagen by solid lines indicate that the structures of cocrystals of that molecule (or part of that molecule) with a collagen-like peptide have been solved. A gray outline around the molecule name indicates the crystal structure of the molecule has been determined. 2Ī schematic diagram of the interaction network of major fibrillar collagens showing the classes of molecules that interact with them, together with representative examples of each class (plotted with Cytoscape 3.2.1, based on multiple sources including MatrixDB ). This study provides a theoretical basis for the follow-up development of medicines for the treatment of HCC.A schematic diagram of the interaction network of major fibrillar collagens showing the classes of molecules that interact with them, together with representative examples of each class (plotted with Cytoscape 3.2.1, based on multiple sources including MatrixDB ). Conclusion :Network pharmacology intuitively shows that Radix Paeoniae Rubra has multiple components ,multiple targets and multiple pathways in the treatment of HCC. A total of 561 biological processes ,85 cellular components and 130 molecular functions were obtained by GO annotation. There were 193 nodes and 722 edges in the protein- protein interaction network ,and 95 nodes ,439 edges and 21 core targets were obtained by topological index screening. Twenty-three common targets from both active ingredient targets and HCC disease targets were obtained. A total of 148 HCC-related disease targets were retrieved from OMIM, DrugBank and TTD databases. Results :A total of 28 compounds and 442 targets from Radix Paeoniae Rubra were obtained from TCMSP database. The mechanism of Radix Paeoniae Rubra on HCC was further analyzed. Protein-protein interaction (PPI) network was constructed by Cytoscape 3.2.1 software, and the core targets were obtained by topological analysis. The String platform was used to collect liver cancer disease-related target proteins, and GO analysis was performed with David database. Then, the common targets from both active ingredient targets and HCC disease targets were obtained. Through OMIM database (http ://),drugbank database (https :// )and TTD database (http ://db./ttd/ ),the corresponding targets of HCC were collected. Methods :Through TCMSP database (https :///tcmspsearch.php ),the chemical constituents of Radix Paeoniae Rubra were searched ,and the targets of Radix Paeoniae Rubra were predicted by STD database and SEA database. Objective :To predict the mechanism of Radix Paeoniae Rubra in the treatment of hepatocellular carcinoma (HCC )by network pharmacology. ![]()
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