Employing Supervised Algorithms for the Prediction of Nanomaterial’s Antioxidant Efficiency

Employing Supervised Algorithms for the Prediction of Nanomaterial’s Antioxidant Efficiency

Reactive oxygen species (ROS) are compounds that readily transform into free radicals. Excessive exposure to ROS depletes antioxidant enzymes that protect cells, leading to oxidative stress and cellular damage. Nanomaterials (NMs) exhibit free radical scavenging efficiency representing a potential s...

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Bibliographic Details
Main Authors: Mahsa Mirzaei, Irini Furxhi, Finbarr Murphy, Martin Mullins
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:International Journal of Molecular Sciences
Subjects:
nanomaterials
nanoparticles
machine learning
antioxidant
reactive oxygen species
Online Access:https://www.mdpi.com/1422-0067/24/3/2792

Internet

https://www.mdpi.com/1422-0067/24/3/2792

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