Nezrina Kurtanovic

Nezrina Kurtanovic


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 August 2018 in Molecules
Verified
Journal Article
Open access
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MMMilan Mladenovic
Milan Mladenovic
BABiljana Arsic
Biljana Arsic
Nevena TomasevicNevena Tomasevic
Nevena Tomasevic
NKNezrina Kurtanovic
Nezrina Kurtanovic
Rino RagnoRino Ragno
Rino Ragno
RMRužica Micić
Ružica Micić
Commercially available pesticides were examined as Mus musculus and Homo sapiens acetylcholinesterase (mAChE and hAChE) inhibitors by means of ligand-based (LB) and structure-based (SB) in silico approaches. Initially, the crystal structures of simazine, monocrotophos, dimethoate, and acetamiprid were reproduced using various force fields. Subsequently, LB alignment rules were assessed and applied to determine the inter synaptic conformations of atrazine, propazine, carbofuran, carbaryl, tebufenozide, imidacloprid, diuron, monuron, and linuron. Afterwards, molecular docking and dynamics SB studies were performed on either mAChE or hAChE, to predict the listed pesticides’ binding modes. Calculated energies of global minima (Eglob_min) and free energies of binding (∆Gbinding) were correlated with the pesticides’ acute toxicities (i.e., the LD50 values) against mice, as well to generate the model that could predict the LD50s against humans. Although for most of the pesticides the low Eglob_min correlates with the high acute toxicity, it is the ∆Gbinding that conditions the LD50 values for all the evaluated pesticides. Derived pLD50 = f(∆Gbinding) mAChE model may predict the pLD50 against hAChE, too. The hAChE inhibition by atrazine, propazine, and simazine (the most toxic pesticides) was elucidated by SB quantum mechanics (QM) DFT mechanistic and concentration-dependent kinetic studies, enriching the knowledge for design of less toxic pesticides.

1 October 2018 in Bioorganic Chemistry
Verified
Journal Article
Closed access
DSDušica Simijonović
Dušica Simijonović
EVEvangelia-Eirini Vlachou
Evangelia-Eirini Vlachou
ZPZorica D. Petrović
Zorica D. Petrović
DHDimitra J. Hadjipavlou-Litina
Dimitra J. Hadjipavlou-Litina
ΚLΚonstantinos E. Litinas
Κonstantinos E. Litinas
MMMilan P. Mladenović
Milan P. Mladenović

28 April 2022 in Molecules
Verified
Journal Article
Open access
PDF file
NKNezrina Kurtanovic
Nezrina Kurtanovic
NTNevena Tomašević
Nevena Tomašević
SMSanja Lj Matić
Sanja Lj Matić
EPEleonora Proia
Eleonora Proia
MSManuela Sabatino
Manuela Sabatino
Rino RagnoRino Ragno
Rino Ragno
The estrogen receptor α (ERα) is an important biological target mediating 17β-estradiol driven breast cancer (BC) development. Aiming to develop innovative drugs against BC, either wild-type or mutated ligand-ERα complexes were used as source data to build structure-based 3-D pharmacophore and 3-D QSAR models, afterward used as tools for the virtual screening of National Cancer Institute datasets and hit-to-lead optimization. The procedure identified Brefeldin A (BFA) as hit, then structurally optimized toward twelve new derivatives whose anticancer activity was confirmed both in vitro and in vivo. Compounds as SERMs showed picomolar to low nanomolar potencies against ERα and were then investigated as antiproliferative agents against BC cell lines, as stimulators of p53 expression, as well as BC cell cycle arrest agents. Most active leads were finally profiled upon administration to female Wistar rats with pre-induced BC, after which 3DPQ-12, 3DPQ-3, 3DPQ-9, 3DPQ-4, 3DPQ-2, and 3DPQ-1 represent potential candidates for BC therapy.