Accurate & simple open-sourced no-code machine learning and CDFT predictive models for the antioxidant activity of phenols

Author:

Halabi Diaz AndrésORCID,Galdames FrancoORCID,Velásquez PatriciaORCID

Funder

Agencia Nacional de Investigación y Desarrollo

Publisher

Elsevier BV

Reference62 articles.

1. Current state of knowledge on the antioxidant effects and mechanisms of action of polyphenolic compounds;Lv;Nat. Prod. Commun.,2021

2. Combined antioxidant capacity of chilean bee hive products using mixture design methodology;Velásquez;LWT,2022

3. Bioactive compounds and antibacterial properties of monofloral ulmo honey;Velásquez;CyTA – J. Food,2020

4. The importance of antioxidants and place in today’s scientific and technological studies;Zehiroglu;J. Food Sci. Technol.,2019

5. Influence of brassica campestris and galega officinalis on antioxidant activity of bee pollen;Muñoz;Rev. Bras. Farmacogn.,2020

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