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- W4312592247 abstract "To investigate the mechanism of Dragon’s Blood, a Chinese herbal medicine, in the treatment of diabetic kidney disease (DKD) by Bioinformatics analysis. Literature searches and database screening were carried out to identify the main active ingredients of Dragon’s blood; the SwissTargetPrediction database was used to predict the active ingredients.. Cytoscape 3.7.2 software and the STRING platform was used to construct a medicine-compounds-disease-targets PPI (Protein–Protein Interaction Networks) network of potential targets. The DAVID database was used to perform GO enrichment and KEGG signal pathway analysis. Finally, Autodock vina was used for docking simulations and Pymol was used to visualize interactions between ligands and proteins. We found that Dragon’s blood can play a preventive and therapeutic effect on AKT1, IL6, TNF, VEGFA, TP53, SRC, through the PI3K-Akt, HIF-1, and FoxO signaling pathways." @default.
- W4312592247 created "2023-01-05" @default.
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- W4312592247 date "2022-01-01" @default.
- W4312592247 modified "2023-10-18" @default.
- W4312592247 title "Bioinformatics Analysis on the Molecular Mechanism of Dragon’s Blood in Treating Diabetic Kidney Disease" @default.
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- W4312592247 doi "https://doi.org/10.1007/978-981-19-4132-0_31" @default.
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