TY  - JOUR
AU  - Andrejević, Tina P.
AU  - Nikolić, Andrea M.
AU  - Glisić, Biljana D.
AU  - Wadepohl, Hubert
AU  - Vojnović, Sandra
AU  - Zlatović, Mario
AU  - Petković, Miloš
AU  - Nikodinović-Runić, Jasmina
AU  - Opsenica, Igor M.
AU  - Đuran, Miloš, I
PY  - 2018
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/3086
AB  - Herein, we report the synthesis and structural characteristics of three tetrazole-containing compounds, 1-benzyl-1H-tetrazole (bntz), 1-benzyl-1H-tetrazol-5-amine (bntza) and 1-(4-methoxybenzyl)-1H-tetrazol-5-amine (mbntza) and the corresponding silver(I) complexes of the general formula [Ag(NO3-O)(L-N4)(2)](n), L = bntz (1), bntza (2) and mbntza (3). Silver(I) complexes 1-3 and 1-benzyl-1H-tetrazoles have been studied in detail by NMR, IR and UV-Vis spectroscopic methods and the structures of 1 and 2 have been determined by single-crystal X-ray diffraction analysis. The results of these analyses revealed a monodentate coordination of the ligands to Ag(I) ion via the N4 tetrazole nitrogen. The antimicrobial potential of silver(I) complexes 1-3 was evaluated against the broad panel of Gram-positive and Gram-negative bacteria and fungi, displaying their remarkable inhibiting activity with MIC (minimal inhibitory concentration) values in the range 2-8 and 0.16-1.25 mu g/mL (3.8-16.3 and 0.31-2.15 mu M), respectively. On the other hand, 1-benzyl-1H-tetrazoles used for the synthesis of the silver(I) complexes were not active against the investigated strains, suggesting that the activity of the complexes originates from the Ag(I) ion exclusively. Moreover, silver(I) complexes 1-3 have good therapeutic potential, which can be deduced from their moderate cytotoxicity on the human fibroblast cell line MRC5, with IC50 values falling in the range 30-60 mu g/mL (57.7-103.4 mu M).
PB  - Pergamon-Elsevier Science Ltd, Oxford
T2  - Polyhedron
T1  - Synthesis, structural characterization and antimicrobial activity of silver(I) complexes with 1-benzyl-1H-tetrazoles
VL  - 154
SP  - 325
EP  - 333
DO  - 10.1016/j.poly.2018.08.001
ER  - 

@article{
author = "Andrejević, Tina P. and Nikolić, Andrea M. and Glisić, Biljana D. and Wadepohl, Hubert and Vojnović, Sandra and Zlatović, Mario and Petković, Miloš and Nikodinović-Runić, Jasmina and Opsenica, Igor M. and Đuran, Miloš, I",
year = "2018",
abstract = "Herein, we report the synthesis and structural characteristics of three tetrazole-containing compounds, 1-benzyl-1H-tetrazole (bntz), 1-benzyl-1H-tetrazol-5-amine (bntza) and 1-(4-methoxybenzyl)-1H-tetrazol-5-amine (mbntza) and the corresponding silver(I) complexes of the general formula [Ag(NO3-O)(L-N4)(2)](n), L = bntz (1), bntza (2) and mbntza (3). Silver(I) complexes 1-3 and 1-benzyl-1H-tetrazoles have been studied in detail by NMR, IR and UV-Vis spectroscopic methods and the structures of 1 and 2 have been determined by single-crystal X-ray diffraction analysis. The results of these analyses revealed a monodentate coordination of the ligands to Ag(I) ion via the N4 tetrazole nitrogen. The antimicrobial potential of silver(I) complexes 1-3 was evaluated against the broad panel of Gram-positive and Gram-negative bacteria and fungi, displaying their remarkable inhibiting activity with MIC (minimal inhibitory concentration) values in the range 2-8 and 0.16-1.25 mu g/mL (3.8-16.3 and 0.31-2.15 mu M), respectively. On the other hand, 1-benzyl-1H-tetrazoles used for the synthesis of the silver(I) complexes were not active against the investigated strains, suggesting that the activity of the complexes originates from the Ag(I) ion exclusively. Moreover, silver(I) complexes 1-3 have good therapeutic potential, which can be deduced from their moderate cytotoxicity on the human fibroblast cell line MRC5, with IC50 values falling in the range 30-60 mu g/mL (57.7-103.4 mu M).",
publisher = "Pergamon-Elsevier Science Ltd, Oxford",
journal = "Polyhedron",
title = "Synthesis, structural characterization and antimicrobial activity of silver(I) complexes with 1-benzyl-1H-tetrazoles",
volume = "154",
pages = "325-333",
doi = "10.1016/j.poly.2018.08.001"
}

Andrejević, T. P., Nikolić, A. M., Glisić, B. D., Wadepohl, H., Vojnović, S., Zlatović, M., Petković, M., Nikodinović-Runić, J., Opsenica, I. M.,& Đuran, M. I.. (2018). Synthesis, structural characterization and antimicrobial activity of silver(I) complexes with 1-benzyl-1H-tetrazoles. in Polyhedron
Pergamon-Elsevier Science Ltd, Oxford., 154, 325-333.
https://doi.org/10.1016/j.poly.2018.08.001

Andrejević TP, Nikolić AM, Glisić BD, Wadepohl H, Vojnović S, Zlatović M, Petković M, Nikodinović-Runić J, Opsenica IM, Đuran MI. Synthesis, structural characterization and antimicrobial activity of silver(I) complexes with 1-benzyl-1H-tetrazoles. in Polyhedron. 2018;154:325-333.
doi:10.1016/j.poly.2018.08.001 .

Andrejević, Tina P., Nikolić, Andrea M., Glisić, Biljana D., Wadepohl, Hubert, Vojnović, Sandra, Zlatović, Mario, Petković, Miloš, Nikodinović-Runić, Jasmina, Opsenica, Igor M., Đuran, Miloš, I, "Synthesis, structural characterization and antimicrobial activity of silver(I) complexes with 1-benzyl-1H-tetrazoles" in Polyhedron, 154 (2018):325-333,
https://doi.org/10.1016/j.poly.2018.08.001 . .

TY  - JOUR
AU  - Obradović, Darija
AU  - Andrić, Filip
AU  - Zlatović, Mario
AU  - Agbaba, Danica
PY  - 2018
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/3036
AB  - Aripiprazole and ziprasidone are atypical antipsychotic drugs with the effect on positive and negative symptoms of schizophrenia, mania, and mixed states of bipolar disorder. Hansen's solubility parameters, (d), (p), and (h), which account for dispersive, polarizable, and hydrogen bonding contributions to the overall cohesive energy of a compound, are often used to assess pharmacokinetic properties of drugs. However, no data exist of solubility parameters for the drugs of interest in this study. Therefore, in the present study, partial least square regression (PLS), artificial neural networks (ANNs), regression trees (RT), boosted trees (BT), and random forests (RF) were applied to estimate Hansen's solubility parameters of ziprasidone, aripiprazole, and their impurities/metabolic derivatives, targeting their biopharmaceutical classes and absorption routes. A training set of 47 structurally diverse and pharmacologically active compounds and 290 molecular descriptors and pharmaceutically important properties were used to build the prediction models. The modeling approaches were compared by the sum of ranking differences, using the consensus values as a reference for the unknowns and the experimentally determined values as a gold standard for the calibration set. In both instances, the PLS models, together with ANNs, demonstrated better performance than RT, BT and especially RF. Based on the best scored models, we were able to pinpoint the most probable absorption sites for each drug and the corresponding metabolite, i.e., the upper parts of the gastrointestinal tract, small intestine, or absorption along entire length of gastrointestinal tract.
PB  - Wiley, Hoboken
T2  - Journal of Chemometrics
T1  - Modeling of Hansen's solubility parameters of aripiprazole, ziprasidone, and their impurities: A nonparametric comparison of models for prediction of drug absorption sites
VL  - 32
IS  - 4
DO  - 10.1002/cem.2996
ER  - 

@article{
author = "Obradović, Darija and Andrić, Filip and Zlatović, Mario and Agbaba, Danica",
year = "2018",
abstract = "Aripiprazole and ziprasidone are atypical antipsychotic drugs with the effect on positive and negative symptoms of schizophrenia, mania, and mixed states of bipolar disorder. Hansen's solubility parameters, (d), (p), and (h), which account for dispersive, polarizable, and hydrogen bonding contributions to the overall cohesive energy of a compound, are often used to assess pharmacokinetic properties of drugs. However, no data exist of solubility parameters for the drugs of interest in this study. Therefore, in the present study, partial least square regression (PLS), artificial neural networks (ANNs), regression trees (RT), boosted trees (BT), and random forests (RF) were applied to estimate Hansen's solubility parameters of ziprasidone, aripiprazole, and their impurities/metabolic derivatives, targeting their biopharmaceutical classes and absorption routes. A training set of 47 structurally diverse and pharmacologically active compounds and 290 molecular descriptors and pharmaceutically important properties were used to build the prediction models. The modeling approaches were compared by the sum of ranking differences, using the consensus values as a reference for the unknowns and the experimentally determined values as a gold standard for the calibration set. In both instances, the PLS models, together with ANNs, demonstrated better performance than RT, BT and especially RF. Based on the best scored models, we were able to pinpoint the most probable absorption sites for each drug and the corresponding metabolite, i.e., the upper parts of the gastrointestinal tract, small intestine, or absorption along entire length of gastrointestinal tract.",
publisher = "Wiley, Hoboken",
journal = "Journal of Chemometrics",
title = "Modeling of Hansen's solubility parameters of aripiprazole, ziprasidone, and their impurities: A nonparametric comparison of models for prediction of drug absorption sites",
volume = "32",
number = "4",
doi = "10.1002/cem.2996"
}

Obradović, D., Andrić, F., Zlatović, M.,& Agbaba, D.. (2018). Modeling of Hansen's solubility parameters of aripiprazole, ziprasidone, and their impurities: A nonparametric comparison of models for prediction of drug absorption sites. in Journal of Chemometrics
Wiley, Hoboken., 32(4).
https://doi.org/10.1002/cem.2996

Obradović D, Andrić F, Zlatović M, Agbaba D. Modeling of Hansen's solubility parameters of aripiprazole, ziprasidone, and their impurities: A nonparametric comparison of models for prediction of drug absorption sites. in Journal of Chemometrics. 2018;32(4).
doi:10.1002/cem.2996 .

Obradović, Darija, Andrić, Filip, Zlatović, Mario, Agbaba, Danica, "Modeling of Hansen's solubility parameters of aripiprazole, ziprasidone, and their impurities: A nonparametric comparison of models for prediction of drug absorption sites" in Journal of Chemometrics, 32, no. 4 (2018),
https://doi.org/10.1002/cem.2996 . .