Predicting flavonoid physicochemical properties using topological indices and regression modeling

Predicting flavonoid physicochemical properties using topological indices and regression modeling

Abstract Flavonoids, a diverse class of polyphenolic phytochemicals, exhibit multifaceted biological activities critical to human health. This study leverages degree-based topological indices (TIs) to predict six physicochemical properties of sixty flavonoids using linear, quadratic, and logarithmic...

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Bibliographic Details
Main Authors: Huili Li, Shamaila Yousaf, Komal Shahzadi, Sobhy M. M. Ibrahim, Adnan Aslam, Guoping Zhang, Keneni Abera Tola
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Flavonoids
Topological indices
Physicochemical properties
Computational modeling
Biological systems
Online Access:https://doi.org/10.1038/s41598-025-11084-w
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