[Anti-tumor mechanism of Artemisia annua based on bioinformatics]

This paper was aimed to explore the relationship between Artemisia annua and tumor, and investigate its anti-tumor mechanism based on the bioinformatics molecular network analysis, text mining technique and other related methods. Text mining tool Polysearch database was used to get the information, and after formatting conversion, the information was imported into the bioinformatics analysis software Cytoscape3.2.1 for visualization and subsequent bioinformatics molecular network analysis .It was shown that the A. annua was associated with the tumor by 8 key proteins： TNF,VEGF,PI3K, ALDH1, Bcl-2, MicroRNA, p38 and CASP3 by text mining technique. The main biological processes involved in its anti-tumor effect included cell cycle, post-translational protein modification, cell cycle regulation, protein ubiquitination and organelle tissues regulation. The key network analysis showed that the action may be achieved by regulation of triglyceride metabolic process, positive regulation of triglyceride metabolic process, positive regulation of triglyceride catabolic process, regulation of budding cell apical bud growth, negative regulation of mitotic cell cycle, negative regulation of meiotic cell cycle, and positive regulation of transcription factors. The results showed that the anti-tumor effect of A. annua may be associated with regulating lipid metabolism of tumor cells, decomposing large amounts of lipids, releasing energy, reducing the rate of tumor cell division and accelerating tumor cell apoptosis.