Profil
Milan Jovanović
Zvanje:
Istraživač saradnik
Direktni telefoni:
Lokal:
Naučna oblast:
1
Veće oblasti:
Hemija, Biologija,
Orcid broj:
Organizaciona jedinica:
090
DIPLOME
ZVANJA
M faktor
| Kategorija | Broj | Koeficijent | Ukupno |
|---|
Ukupno M faktor:
0
NI radovi
| # | Naziv, Datum, Grupa, Vrsta | Godina | Autori | Status | |
|---|---|---|---|---|---|
| 1 |
3D-QSAR, molecular docking and in silico ADMET studies of propiophenone derivatives with anti-HIV-1 protease activity
Structural Chemistry , , 2021 M20 | M22 |
2021 | Milan Jovanović, Nemanja Turković, Branka Ivković, Zorica Vujić, Katarina Nikolić, Sonja Grubišić |
Odobren
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| 2 |
Molecular modeling and analysis of the 3D pharmacophore structure of the selective PI3K-α inhibitors as antitumor agents
Arhiv za farmaciju , , 2018 M50 | M52 |
2018 | Milan Jovanović, Katarina Nikolić, Žarko Gagić, Danica Agbaba |
Odobren
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| 3 |
3D molecular pharmacophore determination of PI3K - kinase inhibitors
14th International Conference on Fundamental and Applied Aspects of Physical Chemistry “PHYSICAL CHEMISTRY 2018“ , Belgrade, Serbia , 2018 M30 | M33 |
2018 | 1. Ž. Gagić, M. Jovanović, D. Agbaba, K. Nikolić. |
Odobren
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| 4 |
3D-QSAR studies and design of selective PI3K-α kinase inhibitors as potential antineoplastics
7th Conference of the Young Chemists of Serbia , Belgrade, Serbia , 2019 M30 | M34 |
2019 | Milan J. Jovanovic, Zarko P. Gagic, Katarina M. Nikolic. |
Odobren
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| 5 |
. Chalcones with anti-HIV-1 protease activity: 3D-QSAR study, design of novel inhibitors, molecular docking and in silico ADMET characterization
Paul Ehrlich Euro-PhD Network Virtual Meeting 2021 , Online , 2021 M30 | M34 |
2021 | Jovanović M., Turković N., Ivković B., Vujić Z., Nikolić K., Grubišić S. |
Odobren
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| 6 |
Electrochemical and theoretical study on interaction between erlotinib and DNA
Journal of Pharmaceutical and Biomedical Analysis , , 2023 M20 | M22 |
2023 | Milan Jovanović, Katarina Nikolic, Marija Čarapić, Mara M. Aleksić |
Odobren
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| 7 |
Application of parallel artificial membrane permeability assay technique and chemometric modeling for blood–brain barrier permeability prediction of protein kinase inhibitors
Future Medicinal Chemistry , , 2024 M20 | M22 |
2024 | Milan Jovanović, Milica Radan, Marija Čarapić, Nenad Filipović, Katarina Nikolic, Milkica Crevar |
Odobren
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