Резултати
eNauka >
Results >
Application of machine learning and molecular docking to the modelling and design of HDAC6/ROCK dual inhibitors with in vitro experimental validation
| Title: | Application of machine learning and molecular docking to the modelling and design of HDAC6/ROCK dual inhibitors with in vitro experimental validation | Authors: | Beljkaš, Milan   ; Zukić, Selma; Maran, Uko; Arimondo, Paola B; Petković, Miloš ; Oljačić, Slavica ; Nikolić, Katarina |
Issue Date: | 2025 | Publication: | Precision-BTC-Net General Meeting and Monothematic Conference on Liquid Biopsy for BTC: From bench to bedside, Book of Abstracts | Publisher: | COST Precision BTC Network | Type: | Conference Paper | URI: | https://enauka.gov.rs/handle/123456789/1012795 https://farfar.pharmacy.bg.ac.rs/handle/123456789/6350 |
Project: | Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200161 (Univerzitet u Beogradu, Farmaceutski fakultet) Cost Action, CA22125 |
M-category: | Mp. category will be shown later |
Google ScholarTM