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Screening and Prediction of Potential Compounds from Virgin Olive Oil Acting on Proteins Associated with Cancer Disease

机译:从癌症疾病相关的初榨橄榄油中筛选和预测母橄榄油的筛选和预测

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Virgin olive oil contains phenolic compounds that were potential for anti-inflammatory and cancer treatment. Computational biology is a beneficial method to understand how this compound can affect the biological process in humans. This research is conducted by the potential screening of VOO compounds, constructing the pharmacological network and enrichment, and docking simulation. The enrichment result showed that the EGFR, BRAF, MAPK1, CCND1, and MDM2 protein have multiple cancer contributions and related pathways. The docking simulation result showed that the interaction of EGFR-luteolin, BRAFluteolin, MAPK1-luteolin, CCND1-apigenin, and MDM2-1-hydroxypinoresinol has the highest binding affinity. Further research with the in-vitro and in-vivo methods areis required to check the reliable mechanisms of each compound to their protein target.
机译:初榨橄榄油含有酚类化合物,其是抗炎和癌症治疗的潜力。 计算生物学是了解该化合物如何影响人类的生物过程的有益方法。 该研究是由voo化合物的潜在筛选进行,构建药理学网络和富集,以及对接模拟。 富集结果表明,EGFR,BRAF,MAPK1,CCND1和MDM2蛋白有多种癌症贡献和相关途径。 对接模拟结果表明,EGFR-叶氏菌素,Brafluteolin,MapK1-叶毛素,CCND1-α-甲蛋白和MDM2-1-羟基脲素的相互作用具有最高的结合亲和力。 进一步研究了对体外和体内方法的研究,需要检查每个化合物的可靠机制是否给他们的蛋白质靶标。

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