首页|National Research and Innovation Agency Reports Findings in Breast Cancer [In-silico prediction of anti-breast cancer activity of ginger (Zingiber officina le) using machine learning techniques]
National Research and Innovation Agency Reports Findings in Breast Cancer [In-silico prediction of anti-breast cancer activity of ginger (Zingiber officina le) using machine learning techniques]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Oncology - Breast Canc er is the subject of a report. According to news reporting out of Jakarta, Indon esia, by NewsRx editors, research stated, "Indonesian civilization extensively u ses traditional medicine to cure illnesses and preserve health. The lack of know ledge on the security and efficacy of medicinal plants is still a significant co ncern." Our news journalists obtained a quote from the research from National Research a nd Innovation Agency, "Although the precise chemicals responsible for this impac t are unknown, ginger is a common medicinal plant in Southeast Asia that may hav e anticancer qualities. Using data from Dudedocking, a machine-learning model wa s created to predict possible breast anticancer chemicals from ginger. The model was used to forecast substances that block KIT and MAPK2 proteins, essential el ements in breast cancer. Beta-carotene, 5-Hydroxy-74'-dimethoxyflavone, [12]-Shogaol, Isogingerenone B, curcumin, Trans- [10]-Shogaol, Gingerenone A, Dihydrocurcumin, and demethoxycur cumin were all superior to the reference ligand for MAPK2, according to molecula r docking studies. Lycopene, [8]-Shogaol, [6]-Shogaol, and [1] -Paradol exhibited low toxicity and no Lipinski violations, but beta carotene ha d toxic predictions and Lipinski violations. It was anticipated that all three s ubstances would have anticarcinogenic qualities."
JakartaIndonesiaAsiaBiological Fac torsBreast CancerCancerCarotenoidsChemicalsCyborgsEmerging Technolog iesHealth and MedicineMachine LearningOncologyWomen's Healthbeta Carot ene
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