■印尼文明广泛使用传统医学来治疗疾病和保持健康。缺乏关于药用植物的安全性和功效的知识仍然是一个重要的问题。尽管造成这种影响的确切化学物质尚不清楚,生姜是东南亚常见的药用植物,可能具有抗癌特性。
■使用来自Dudebocking的数据,建立了一个机器学习模型来预测生姜中可能的乳房抗癌化学物质。该模型用于预测阻断KIT和MAPK2蛋白的物质,乳腺癌的基本要素。
■β-胡萝卜素,5-羟基-74\'-二甲氧基黄酮,[12]-Shogaol,IsogingerenoneB,姜黄素,Transs-[10]-Shogaol,GingerenoneA,二氢姜黄素,根据分子对接研究,去甲氧基姜黄素均优于MAPK2的参考配体。番茄红素,[8]-Shogaol,[6]-Shogaol,和[1]-Paradol表现出低毒性,没有Lipinski侵犯,但是β-胡萝卜素有毒性预测和Lipinski违规。预计所有三种物质都具有抗癌性质。
■总的来说,这项研究显示了机器学习在药物开发中的价值,并提供了关于生姜可能的抗癌化学物质的有见地的信息。
UNASSIGNED: Indonesian civilization extensively uses traditional medicine to cure illnesses and preserve health. The lack of knowledge on the security and efficacy of medicinal plants is still a significant concern. Although the precise chemicals responsible for this impact are unknown, ginger is a common medicinal plant in Southeast Asia that may have anticancer qualities.
UNASSIGNED: Using data from Dudedocking, a machine-learning model was created to predict possible breast anticancer chemicals from ginger. The model was used to forecast substances that block
KIT and MAPK2 proteins, essential elements in breast cancer.
UNASSIGNED: Beta-carotene, 5-Hydroxy-74\'-dimethoxyflavone, [12]-Shogaol, Isogingerenone B, curcumin, Trans-[10]-Shogaol, Gingerenone A, Dihydrocurcumin, and demethoxycurcumin were all superior to the reference ligand for MAPK2, according to molecular docking studies. Lycopene, [8]-Shogaol, [6]-Shogaol, and [1]-Paradol exhibited low toxicity and no Lipinski violations, but beta carotene had toxic predictions and Lipinski violations. It was anticipated that all three substances would have anticarcinogenic qualities.
UNASSIGNED: Overall, this study shows the value of machine learning in drug development and offers insightful information on possible anticancer chemicals from ginger.