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eNauka >  Results >  In vitro Antioxidant and in vivo Antigenotoxic Features of a se-2 ries of 61 Essential Oils and Quantitative-Composition Activity 3 Relationships Modeling Through Machine Learning Algo-4 rithms
Title: In vitro Antioxidant and in vivo Antigenotoxic Features of a se-2 ries of 61 Essential Oils and Quantitative-Composition Activity 3 Relationships Modeling Through Machine Learning Algo-4 rithms
Authors: Mladenović, Milan  ; Astolfi, Roberta; Tomašević, Nevena; Matić, Sanja  ; Božović, Mijat; Sapienza F.; Ragno, Rino
Issue Date: 2023
ISSN: 2076-3921 Antioxidants
Type: Article
Collation: vol. 12 br. 10 str. 1815-1815
DOI: 10.3390/antiox12101815
WoS-ID: 001090562000001
Scopus-ID: 2-s2.0-85175299795
PMID: 37891894
PMCID: PMC10604248
URI: https://enauka.gov.rs/handle/123456789/836393
https://scidar.kg.ac.rs/handle/123456789/19090
M-category: 
21aM21a

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