QSAR Models for Predicting the Antioxidant Potential of Chemical Substances

QSAR Models for Predicting the Antioxidant Potential of Chemical Substances

Antioxidants are widely studied compounds with significant applications in the nutraceutical and dietary industries. To enable the rapid screening of large libraries of substances for antioxidant activity and to provide a useful tool for the initial evaluation of substances of interest with unknown...

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Bibliographic Details
Main Authors: Sofia Ghironi, Edoardo Luca Viganò, Gianluca Selvestrel, Emilio Benfenati
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Journal of Xenobiotics
Subjects:
antioxidants
QSAR
DPPH
food
food supplements
machine learning
Online Access:https://www.mdpi.com/2039-4713/15/3/80
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