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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 |
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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