In Vitro Antioxidant and In Vivo Antigenotoxic Features of a Series of 61 Essential Oils and Quantitative Composition-Activity Relationships Modeled through Machine Learning Algorithms

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Title:	In Vitro Antioxidant and In Vivo Antigenotoxic Features of a Series of 61 Essential Oils and Quantitative Composition-Activity Relationships Modeled through Machine Learning Algorithms
Authors:	Mladenovic, Milan P; Astolfi, Roberta; Tomasevic, Nevena M ; Matic, Sanja Lj ; Bozovic, Mijat; Sapienza, Filippo; Ragno, Rino
Issue Date:	2023
Publication:	ANTIOXIDANTS
ISSN:	2076-3921 Antioxidants Search Idenfier
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/123456789/934831 https://scidar.kg.ac.rs/handle/123456789/19090
Project:	Serbian Ministry of Science, Technological Development, and Innovation [451-03-47/2023-01/200122, 451-03-47/2023-01/200378] Progetti di Ricerca di Universita 2015, Sapienza Universitadi Roma [C26A15RT82, C26A15J3BB]
Metadata source:	(Preuzeto iz Nasi u WoS)
M-category:	21a+M21a+

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