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eNauka >  Results >  Artificial intelligence-assisted QSAR modeling of phenolic monoterpenes targeting Helicobacter pylori
Title: Artificial intelligence-assisted QSAR modeling of phenolic monoterpenes targeting Helicobacter pylori
Authors: Kovačević, Strahinja  ; Carradori, Simone; Iacovozzi, Damiano; Karadžić Banjac, Milica  ; Podunavac-Kuzmanović, Sanja  
Issue Date: 2026
Publication: Journal of Molecular Graphics and Modelling
ISSN: 10933263 Journal of Molecular Graphics and Modelling Search Idenfier
Publisher: Elsevier
Type: Article
Collation: vol. 148 str. Artical number 109509
DOI: 10.1016/j.jmgm.2026.109509
WoS-ID: 001820946300001
PMID: 42413218
URI: https://enauka.gov.rs/handle/123456789/1043861
Project: COST (European Cooperation in Science and Technology) [CA21145]
NRRP - European Union-NextGenerationEU-Regione Abruzzo-Dipartimento Sociale-Enti Locali-Cultura PR FSE + ABRUZZO 2021-2027 "Investimenti a favore dell'occupazione e della crescita" [226/2021]
Metadata source: (Preuzeto iz CrossRef-a) Kovačević, Strahinja
M-category: 
21M21

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