Analysis of Paeoniflorin Treatment of Cancer Based on Bioinformatic Network and Potential Target Prediction

Abstract In the synthesis of chemical drugs used to treat various cancers and tumors,more and more scientists are now focusing on the development of natural extracts.Paeoniflorin,as an important compounds of the total glucosides of peony,,had therapeutic effects on a variety of cancers in vivo and in vitro experiments.The purpose of this study was to use biological information analysis to reveal the basic mechanism and potential molecular mechanism of paeoniflorin treatment.We evaluated the efficacy of paeoniflorin through Traditional Chinese Medicine Systems Pharmacology Database(TCMSP).The potential targets of paeoniflorin were identified and summarized by Comparative Toxicogenomics Database (CTD),and GeneMANIA protein interaction analysis was performed online.Also.We used WebGestalt for Gene Ontology(GO) analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG) analysis and functional annotation.Finally,cytoscape was used to construct the paeoniflorin-target-pathway network to predict the results.