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

Achmad Rodiansyah
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Abstract

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, BRAF-luteolin, MAPK1-luteolin, CCND1-apigenin, and MDM2-1-hydroxypinoresinol has the highest binding affinity. Further research with the in-vitro method is required to check the reliable mechanisms of each compound to their protein target.
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初榨橄榄油中作用于癌症相关蛋白的潜在化合物的筛选和预测
初榨橄榄油含有酚类化合物,具有抗炎和治疗癌症的潜力。计算生物学是了解这种化合物如何影响人类生物过程的有益方法。本研究通过VOO化合物的潜在筛选、构建药理网络和富集、对接模拟等方法进行。富集结果表明,EGFR、BRAF、MAPK1、CCND1和MDM2蛋白具有多种癌症贡献和相关途径。对接模拟结果显示,egfr -木犀草素、braf -木犀草素、mapk1 -木犀草素、ccnd1 -芹菜素、mdm2 -1-羟基环氧树脂醇的相互作用结合亲和力最高。需要进一步的体外研究方法来检查每种化合物对其蛋白质靶点的可靠机制。
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
10
审稿时长
15 weeks
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