| Naziv: | Prediction of Protein Targets in Ovarian Cancer Using a Ru-Complex and Carbon Dot Drug Delivery Therapeutic Nanosystems: A Bioinformatics and μ-FTIR Spectroscopy Approach |
Autori: | Nešić, Maja D.   ; Dučić, Tanja; Gemović, Branislava ; Senćanski, Milan ; Algarra, Manuel; Gonçalves, Mara; Stepić, Milutin ; Popović, Iva ; Kapuran, Đorđe ; Petković, Marijana |
Godina: | 2024 |
Publikacija: | Pharmaceutics |
ISSN: | 1999-4923 Pharmaceutics Pretraži identifikator |
Tip rezultata: | Naučni članak |
Kolacija: | vol. 16 br. 8 str. 997 |
DOI: | 10.3390/pharmaceutics16080997 |
WoS-ID: | 001304801100001 |
Scopus-ID: | 2-s2.0-85202519705 |
PMID: | 39204341 |
PMCID: | PMC11359177 |
URI: | https://vinar.vin.bg.ac.rs/handle/123456789/13575
https://enauka.gov.rs/handle/123456789/928555 |
Projekat: | Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200017 (Univerzitet u Beogradu, Institut za nuklearne nauke Vinča, Beograd-Vinča)
Spanish Ministry of Science and Innovation (MCIN/AEI/10.13039/501100011033) [project PID2021-122613OB-I00]
FCT [CQM Base Fund—UIDB/00674/2020, Programmatic Fund—UIDP/00674/2020]
Madeira 14-20 Program [project Reforço do Investimentoem Equipamentos e Infrastructures Científcasna RAM (PROEQUIPRAM) M1420-01-0145-FEDER-000008]
ARDITI [ARDITI-CQM/2018/007-PDG]
Madeira 14–20 [project M1420-01-0145- FEDER-000005-CQM+] |
M-kategorija: | 21M21 - Rad u vrhunskom međ. časopisu |
