Machine learning prediction of 18 date palm polyphenol protection against biomolecular damage

Machine learning prediction of 18 date palm polyphenol protection against biomolecular damage

This study investigated the diverse antioxidant and enzyme-inhibiting properties of 18 date palm cultivars, correlating these bioactivities with polyphenol profiles using biochemical methods and machine learning (ML). Maktoomi exhibited the highest phenolic content (759.42 mg GAE/100g), while Fard s...

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Bibliographic Details
Main Authors: Nashi K. Alqahtani, Tareq M. Alnemr, Rania Ismail, Hosam M. Habib
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Journal of Agriculture and Food Research
Subjects:
Polyphenol profiling
Bioactive compounds
In Silico screening
Predictive modeling
Oxidative stress mitigation
Nutraceutical development
Online Access:http://www.sciencedirect.com/science/article/pii/S2666154325003904
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