首页|Studies from Beijing University of Chemical Technology Describe New Findings in Machine Learning (Flavonoid As a Potent Antioxidant: Quantitative Structure-acti vity Relationship Analysis, Mechanism Study, and Molecular Design By Synergizing ...)
Studies from Beijing University of Chemical Technology Describe New Findings in Machine Learning (Flavonoid As a Potent Antioxidant: Quantitative Structure-acti vity Relationship Analysis, Mechanism Study, and Molecular Design By Synergizing ...)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Machine Learning are pre sented in a new report. According to newsoriginating from Beijing, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Inthis work, a quan titative structure-antioxidant activity relationship of flavonoids was performed using amachine learning (ML) method. To achieve lipid-soluble, highly antioxid ant flavonoids, 398 molecularstructures with various substitute groups were des igned based on the flavonoid skeleton.”
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningBeijing University of Chemi cal Technology
NETL
NSTL
