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Prediction of progesterone receptor binding potency, agonism and antagonism using machine learning models
| Naziv: | Prediction of progesterone receptor binding potency, agonism and antagonism using machine learning models | Autori: | Milošević Nemanja   ; Sukur Nataša ; Fa Svetlana ; Stanić Bojana ; Andrić Nebojša |
Godina: | 2025 | Publikacija: | Computational Toxicology | ISSN: | 2468-1113 COMPUTATIONAL TOXICOLOGY Pretraži identifikator2468-1113 COMPUTATIONAL TOXICOLOGY Pretraži identifikator |
Tip rezultata: | Naučni članak | Kolacija: | vol. 34 br. 100351 str. 100351-100351 | DOI: | 10.1016/j.comtox.2025.100351 | WoS-ID: | 001497485700001 | Scopus-ID: | 2-s2.0-105004883377 | URI: | https://www.cris.uns.ac.rs/record.jsf?recordId=140553&source=eNauka&language=en https://cris.uns.ac.rs/en/scientific-results/journal-publication/46889 https://enauka.gov.rs/handle/123456789/982380 |
Projekat: | Provincial Secretariat for Higher Education and Scientific Research of the Autonomous Province of Vojvodina [003088437 2024 09418 003 000 000 001/2] | M-kategorija: | 21M21 - Vodeći međunarodni časopis kategorije M21 |
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