Artificial intelligence-assisted QSAR modeling of phenolic monoterpenes targeting Helicobacter pylori

Strahinja Kovačević, Simone Carradori, Damiano Iacovozzi, Milica Karadžić Banjac, Sanja Podunavac-Kuzmanović

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DOI: 10.1016/j.jmgm.2026.109509
Published: 2026-11
Container: Journal of Molecular Graphics and Modelling
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.jmgm.2026.109509,
  title = {Artificial intelligence-assisted QSAR modeling of phenolic monoterpenes targeting Helicobacter pylori},
  author = {Strahinja Kovačević and Simone Carradori and Damiano Iacovozzi and Milica Karadžić Banjac and Sanja Podunavac-Kuzmanović},
  year = {2026},
  journal = {Journal of Molecular Graphics and Modelling},
  doi = {10.1016/j.jmgm.2026.109509},
  url = {https://doi.org/10.1016/j.jmgm.2026.109509}
}

RIS

TY  - JOUR
TI  - Artificial intelligence-assisted QSAR modeling of phenolic monoterpenes targeting Helicobacter pylori
AU  - Strahinja Kovačević
AU  - Simone Carradori
AU  - Damiano Iacovozzi
AU  - Milica Karadžić Banjac
AU  - Sanja Podunavac-Kuzmanović
PY  - 2026
JO  - Journal of Molecular Graphics and Modelling
DO  - 10.1016/j.jmgm.2026.109509
UR  - https://doi.org/10.1016/j.jmgm.2026.109509
ER  -

APA

Kovačević, S., Carradori, S., Iacovozzi, D., Banjac, M. K., & Podunavac-Kuzmanović, S. (2026). Artificial intelligence-assisted QSAR modeling of phenolic monoterpenes targeting Helicobacter pylori. Journal of Molecular Graphics and Modelling. https://doi.org/10.1016/j.jmgm.2026.109509

Source records

crossref · retrieved 2026-09-26T01:27:13.419Z