Robotics & Machine Learning Daily News2024,Issue(Aug.21) :66-67.

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 ...)

Robotics & Machine Learning Daily News2024,Issue(Aug.21) :66-67.

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 ...)

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Abstract

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.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Beijing University of Chemi cal Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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