TY  - JOUR
AU  - Kovaević, Strahinja
AU  - Karadzić-Banjac, Milica
AU  - Podunavac-Kuzmanović, Sanja
AU  - Milošević, Nataša
AU  - Curcić, Jelena
AU  - Vulić, Jelena
AU  - Seregelj, Vanja
AU  - Banjac, Nebojša
AU  - Ušćumlić, Gordana
PY  - 2020
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/5331
AB  - The present study is focused on a series of newly synthesized 1-aryl-3-ethyl-3-methylsuccinimide derivatives, as potential anticonvulsants. The retention behavior of eleven succinimide derivatives was determined by using reversed phase high performance liquid chromatography (RP-HPLC) and reversed phase high performance thin layer chromatography (RP-HPTLC). The estimated retention behavior was correlated with partition (logP) and distribution coefficients (logD). These high correlations pointed out that the determined retention parameters (logK(0) and R-M(0)) can be considered chromatographic (anisotropic) lipophilicity of the studied succinimide derivatives. The structural properties, which dominantly affect the chromatographic lipophilicity, were determined as well. The significant correlations between the chromatographic lipophilicity and plasma protein binding (PPB), Madin-Darby Canine Kidney (MDCK) cells permeability, volume of distribution (Vd) and absorption constant (Ka) indicate the strong influence of lipophilicity on pharmacokinetics of 1-aryl-3-ethyl-3-methylsuccinimide derivatives. These derivatives have also been tested applying Comprehensive Medicinal Chemistry (CMC) drug-like rules which confirmed their drug-like properties. Besides, their blood-brain penetration (BBB) ability has been estimated applying the set of Clark's rules and by using Pre-ADMET software. Regarding toxicity, it was predicted that only one compound from the set might have toxic effects by blocking the hERG potassium channel. The present study reveals which molecular features in the structure of novel succinimide derivatives could be crucial for their lipophilicity, and consequently for their pharmacokinetic properties. The results indicate that the newly synthesized series of succinimide derivatives should be further considered in design of novel anticonvulsants.
PB  - Elsevier Sci Ltd, Oxford
T2  - Computational Biology and Chemistry
T1  - Chromatographic and computational screening of anisotropic lipophilicity and pharmacokinetics of newly synthesized 1-aryl-3-ethyl-3-methylsuccinimides
VL  - 84
DO  - 10.1016/j.compbiolchem.2019.107161
ER  - 

@article{
author = "Kovaević, Strahinja and Karadzić-Banjac, Milica and Podunavac-Kuzmanović, Sanja and Milošević, Nataša and Curcić, Jelena and Vulić, Jelena and Seregelj, Vanja and Banjac, Nebojša and Ušćumlić, Gordana",
year = "2020",
abstract = "The present study is focused on a series of newly synthesized 1-aryl-3-ethyl-3-methylsuccinimide derivatives, as potential anticonvulsants. The retention behavior of eleven succinimide derivatives was determined by using reversed phase high performance liquid chromatography (RP-HPLC) and reversed phase high performance thin layer chromatography (RP-HPTLC). The estimated retention behavior was correlated with partition (logP) and distribution coefficients (logD). These high correlations pointed out that the determined retention parameters (logK(0) and R-M(0)) can be considered chromatographic (anisotropic) lipophilicity of the studied succinimide derivatives. The structural properties, which dominantly affect the chromatographic lipophilicity, were determined as well. The significant correlations between the chromatographic lipophilicity and plasma protein binding (PPB), Madin-Darby Canine Kidney (MDCK) cells permeability, volume of distribution (Vd) and absorption constant (Ka) indicate the strong influence of lipophilicity on pharmacokinetics of 1-aryl-3-ethyl-3-methylsuccinimide derivatives. These derivatives have also been tested applying Comprehensive Medicinal Chemistry (CMC) drug-like rules which confirmed their drug-like properties. Besides, their blood-brain penetration (BBB) ability has been estimated applying the set of Clark's rules and by using Pre-ADMET software. Regarding toxicity, it was predicted that only one compound from the set might have toxic effects by blocking the hERG potassium channel. The present study reveals which molecular features in the structure of novel succinimide derivatives could be crucial for their lipophilicity, and consequently for their pharmacokinetic properties. The results indicate that the newly synthesized series of succinimide derivatives should be further considered in design of novel anticonvulsants.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Computational Biology and Chemistry",
title = "Chromatographic and computational screening of anisotropic lipophilicity and pharmacokinetics of newly synthesized 1-aryl-3-ethyl-3-methylsuccinimides",
volume = "84",
doi = "10.1016/j.compbiolchem.2019.107161"
}

Kovaević, S., Karadzić-Banjac, M., Podunavac-Kuzmanović, S., Milošević, N., Curcić, J., Vulić, J., Seregelj, V., Banjac, N.,& Ušćumlić, G.. (2020). Chromatographic and computational screening of anisotropic lipophilicity and pharmacokinetics of newly synthesized 1-aryl-3-ethyl-3-methylsuccinimides. in Computational Biology and Chemistry
Elsevier Sci Ltd, Oxford., 84.
https://doi.org/10.1016/j.compbiolchem.2019.107161

Kovaević S, Karadzić-Banjac M, Podunavac-Kuzmanović S, Milošević N, Curcić J, Vulić J, Seregelj V, Banjac N, Ušćumlić G. Chromatographic and computational screening of anisotropic lipophilicity and pharmacokinetics of newly synthesized 1-aryl-3-ethyl-3-methylsuccinimides. in Computational Biology and Chemistry. 2020;84.
doi:10.1016/j.compbiolchem.2019.107161 .

Kovaević, Strahinja, Karadzić-Banjac, Milica, Podunavac-Kuzmanović, Sanja, Milošević, Nataša, Curcić, Jelena, Vulić, Jelena, Seregelj, Vanja, Banjac, Nebojša, Ušćumlić, Gordana, "Chromatographic and computational screening of anisotropic lipophilicity and pharmacokinetics of newly synthesized 1-aryl-3-ethyl-3-methylsuccinimides" in Computational Biology and Chemistry, 84 (2020),
https://doi.org/10.1016/j.compbiolchem.2019.107161 . .

TY  - JOUR
AU  - Kovacević, Strahinja
AU  - Karadzić-Banjac, Milica
AU  - Milošević, Nataša
AU  - Curcić, Jelena
AU  - Marjanović, Dunja
AU  - Todorović, Nemanja
AU  - Krmar, Jovana
AU  - Podunavac-Kuzmanović, Sanja
AU  - Banjac, Nebojša
AU  - Ušćumlić, Gordana
PY  - 2020
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/5317
AB  - Numerous structurally different amides and imides including succinimide derivatives exhibit diverse bioactive potential. The development of new compounds requires rationalization in the design in order to provide structural changes that guarantee favorable physico-chemical properties, pharmacological activity and safety. In the present research, a comprehensive study with comparison of the chromatographic lipophilicity and other physico-chemical properties of five groups of 1-arylsuccinimide derivatives was conducted. The chemometric analysis of their physico-chemical properties was carried out by using unsupervised (hierarchical cluster analysis and principal component analysis) and supervised pattern recognition methods (linear discriminant analysis), while the correlations between the in silico molecular features and chromatographic lipophilicity were examined applying linear and non-linear Quantitative Structure-Retention Relationship (QSRR) approaches. The main aim of the conducted research was to determine similarities and dissimilarities among the studied 1-arylsuccinimides, to point out the molecular features which have significant influence on their lipophilicity, as well as to establish high-quality QSRR models which can be used in prediction of chromatographic lipophilicity of structurally similar 1-arylsuccinimides. This study is a continuation of analysis and determination of the physico-chemical properties of 1-arylsuccinimides which could be important guidelines in further in vitro and eventually in vivo studies of their biological potential.
PB  - Elsevier, Amsterdam
T2  - Journal of Chromatography A
T1  - Comparative chemometric and quantitative structure-retention relationship analysis of anisotropic lipophilicity of 1-arylsuccinimide derivatives determined in high-performance thin-layer chromatography system with aprotic solvents
VL  - 1628
DO  - 10.1016/j.chroma.2020.461439
ER  - 

@article{
author = "Kovacević, Strahinja and Karadzić-Banjac, Milica and Milošević, Nataša and Curcić, Jelena and Marjanović, Dunja and Todorović, Nemanja and Krmar, Jovana and Podunavac-Kuzmanović, Sanja and Banjac, Nebojša and Ušćumlić, Gordana",
year = "2020",
abstract = "Numerous structurally different amides and imides including succinimide derivatives exhibit diverse bioactive potential. The development of new compounds requires rationalization in the design in order to provide structural changes that guarantee favorable physico-chemical properties, pharmacological activity and safety. In the present research, a comprehensive study with comparison of the chromatographic lipophilicity and other physico-chemical properties of five groups of 1-arylsuccinimide derivatives was conducted. The chemometric analysis of their physico-chemical properties was carried out by using unsupervised (hierarchical cluster analysis and principal component analysis) and supervised pattern recognition methods (linear discriminant analysis), while the correlations between the in silico molecular features and chromatographic lipophilicity were examined applying linear and non-linear Quantitative Structure-Retention Relationship (QSRR) approaches. The main aim of the conducted research was to determine similarities and dissimilarities among the studied 1-arylsuccinimides, to point out the molecular features which have significant influence on their lipophilicity, as well as to establish high-quality QSRR models which can be used in prediction of chromatographic lipophilicity of structurally similar 1-arylsuccinimides. This study is a continuation of analysis and determination of the physico-chemical properties of 1-arylsuccinimides which could be important guidelines in further in vitro and eventually in vivo studies of their biological potential.",
publisher = "Elsevier, Amsterdam",
journal = "Journal of Chromatography A",
title = "Comparative chemometric and quantitative structure-retention relationship analysis of anisotropic lipophilicity of 1-arylsuccinimide derivatives determined in high-performance thin-layer chromatography system with aprotic solvents",
volume = "1628",
doi = "10.1016/j.chroma.2020.461439"
}

Kovacević, S., Karadzić-Banjac, M., Milošević, N., Curcić, J., Marjanović, D., Todorović, N., Krmar, J., Podunavac-Kuzmanović, S., Banjac, N.,& Ušćumlić, G.. (2020). Comparative chemometric and quantitative structure-retention relationship analysis of anisotropic lipophilicity of 1-arylsuccinimide derivatives determined in high-performance thin-layer chromatography system with aprotic solvents. in Journal of Chromatography A
Elsevier, Amsterdam., 1628.
https://doi.org/10.1016/j.chroma.2020.461439

Kovacević S, Karadzić-Banjac M, Milošević N, Curcić J, Marjanović D, Todorović N, Krmar J, Podunavac-Kuzmanović S, Banjac N, Ušćumlić G. Comparative chemometric and quantitative structure-retention relationship analysis of anisotropic lipophilicity of 1-arylsuccinimide derivatives determined in high-performance thin-layer chromatography system with aprotic solvents. in Journal of Chromatography A. 2020;1628.
doi:10.1016/j.chroma.2020.461439 .

Kovacević, Strahinja, Karadzić-Banjac, Milica, Milošević, Nataša, Curcić, Jelena, Marjanović, Dunja, Todorović, Nemanja, Krmar, Jovana, Podunavac-Kuzmanović, Sanja, Banjac, Nebojša, Ušćumlić, Gordana, "Comparative chemometric and quantitative structure-retention relationship analysis of anisotropic lipophilicity of 1-arylsuccinimide derivatives determined in high-performance thin-layer chromatography system with aprotic solvents" in Journal of Chromatography A, 1628 (2020),
https://doi.org/10.1016/j.chroma.2020.461439 . .

TY  - JOUR
AU  - Kovacević, Strahinja
AU  - Karadzić, Milica
AU  - Podunavac-Kuzmanović, Sanja
AU  - Jevrić, Lidija
AU  - Ivanović, Evica
AU  - Vojnović, Matilda
PY  - 2018
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/4628
AB  - The results presented in this study include the prediction of the antifungal activity of 24 oxazolo derivatives based on their topological and electrostatic molecular descriptors, derived from the 2D molecular structures. The artificial neural network (ANN) method was applied as a regression tool. The input data for ANN modeling were selected by stepwise selection (SS) procedure. The ANN modeling resulted in three networks with the outstanding statistical characteristics. High predictivity of the established networks was confirmed by comparisons of the predicted and experimental data and by the residuals analysis. The obtained results indicate the usefulness of the formed ANNs in precise prediction of minimum inhibitory concentrations of the analyzed compounds towards Candida albicans. The Sum of Ranking Differences (SRD) method was used in this study to reveal possible grouping of the compounds in the space of the variables used in ANN modeling. The obtained results can be considered to be a contribution to development of new antifungal drugs structurally based on oxazole core, particularly nowadays when there is a lack of highly efficient antimycotics.
PB  - Slovensko Kemijsko Drustvo, Ljubljana
T2  - Acta Chimica Slovenica
T1  - Electrostatic and Topological Features as Predictors of Antifungal Potential of Oxazolo Derivatives as Promising Compounds in Treatment of Infections Caused by Candida albicans
EP  - 491
IS  - 3
SP  - 483
VL  - 65
DO  - 10.17344/acsi.2017.3532
ER  - 

@article{
author = "Kovacević, Strahinja and Karadzić, Milica and Podunavac-Kuzmanović, Sanja and Jevrić, Lidija and Ivanović, Evica and Vojnović, Matilda",
year = "2018",
abstract = "The results presented in this study include the prediction of the antifungal activity of 24 oxazolo derivatives based on their topological and electrostatic molecular descriptors, derived from the 2D molecular structures. The artificial neural network (ANN) method was applied as a regression tool. The input data for ANN modeling were selected by stepwise selection (SS) procedure. The ANN modeling resulted in three networks with the outstanding statistical characteristics. High predictivity of the established networks was confirmed by comparisons of the predicted and experimental data and by the residuals analysis. The obtained results indicate the usefulness of the formed ANNs in precise prediction of minimum inhibitory concentrations of the analyzed compounds towards Candida albicans. The Sum of Ranking Differences (SRD) method was used in this study to reveal possible grouping of the compounds in the space of the variables used in ANN modeling. The obtained results can be considered to be a contribution to development of new antifungal drugs structurally based on oxazole core, particularly nowadays when there is a lack of highly efficient antimycotics.",
publisher = "Slovensko Kemijsko Drustvo, Ljubljana",
journal = "Acta Chimica Slovenica",
title = "Electrostatic and Topological Features as Predictors of Antifungal Potential of Oxazolo Derivatives as Promising Compounds in Treatment of Infections Caused by Candida albicans",
pages = "491-483",
number = "3",
volume = "65",
doi = "10.17344/acsi.2017.3532"
}

Kovacević, S., Karadzić, M., Podunavac-Kuzmanović, S., Jevrić, L., Ivanović, E.,& Vojnović, M.. (2018). Electrostatic and Topological Features as Predictors of Antifungal Potential of Oxazolo Derivatives as Promising Compounds in Treatment of Infections Caused by Candida albicans. in Acta Chimica Slovenica
Slovensko Kemijsko Drustvo, Ljubljana., 65(3), 483-491.
https://doi.org/10.17344/acsi.2017.3532

Kovacević S, Karadzić M, Podunavac-Kuzmanović S, Jevrić L, Ivanović E, Vojnović M. Electrostatic and Topological Features as Predictors of Antifungal Potential of Oxazolo Derivatives as Promising Compounds in Treatment of Infections Caused by Candida albicans. in Acta Chimica Slovenica. 2018;65(3):483-491.
doi:10.17344/acsi.2017.3532 .

Kovacević, Strahinja, Karadzić, Milica, Podunavac-Kuzmanović, Sanja, Jevrić, Lidija, Ivanović, Evica, Vojnović, Matilda, "Electrostatic and Topological Features as Predictors of Antifungal Potential of Oxazolo Derivatives as Promising Compounds in Treatment of Infections Caused by Candida albicans" in Acta Chimica Slovenica, 65, no. 3 (2018):483-491,
https://doi.org/10.17344/acsi.2017.3532 . .

TY  - JOUR
AU  - Podunavac-Kuzmanović, Sanja
AU  - Jevrić, Lidija
AU  - Svarc-Gajić, Jaroslava
AU  - Kovacević, Strahinja
AU  - Vasiljević, Ivana
AU  - Kecojević, Isidora
AU  - Ivanović, Evica
PY  - 2015
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/3795
AB  - The relationships between the contents of various metals (Cu, Ni, Pb and Al) in different types of chocolates were studied using chemometric approach. Chemometric analysis was based on the application of artificial neural networks (ANN). ANN was performed in order to select the significant models for predicting the metal contents. ANN equations that represent the content of one metal as a function of the contents of other metals were established. The statistical quality of the generated mathematical models was determined by standard statistical measures and cross-validation parameters. High agreement between experimental and predicted values, obtained in the validation procedure, indicated the good quality of the models. The obtained results indicate the possibility of predicting the metal contents in different types of chocolate and define the strong non-linear relationship between metal contents.
PB  - Slovensko Kemijsko Drustvo, Ljubljana
T2  - Acta Chimica Slovenica
T1  - Artificial Neural Network Approach to Modelling of Metal Contents in Different Types of Chocolates
EP  - 195
IS  - 1
SP  - 190
VL  - 62
UR  - https://hdl.handle.net/21.15107/rcub_agrospace_3795
ER  - 

@article{
author = "Podunavac-Kuzmanović, Sanja and Jevrić, Lidija and Svarc-Gajić, Jaroslava and Kovacević, Strahinja and Vasiljević, Ivana and Kecojević, Isidora and Ivanović, Evica",
year = "2015",
abstract = "The relationships between the contents of various metals (Cu, Ni, Pb and Al) in different types of chocolates were studied using chemometric approach. Chemometric analysis was based on the application of artificial neural networks (ANN). ANN was performed in order to select the significant models for predicting the metal contents. ANN equations that represent the content of one metal as a function of the contents of other metals were established. The statistical quality of the generated mathematical models was determined by standard statistical measures and cross-validation parameters. High agreement between experimental and predicted values, obtained in the validation procedure, indicated the good quality of the models. The obtained results indicate the possibility of predicting the metal contents in different types of chocolate and define the strong non-linear relationship between metal contents.",
publisher = "Slovensko Kemijsko Drustvo, Ljubljana",
journal = "Acta Chimica Slovenica",
title = "Artificial Neural Network Approach to Modelling of Metal Contents in Different Types of Chocolates",
pages = "195-190",
number = "1",
volume = "62",
url = "https://hdl.handle.net/21.15107/rcub_agrospace_3795"
}

Podunavac-Kuzmanović, S., Jevrić, L., Svarc-Gajić, J., Kovacević, S., Vasiljević, I., Kecojević, I.,& Ivanović, E.. (2015). Artificial Neural Network Approach to Modelling of Metal Contents in Different Types of Chocolates. in Acta Chimica Slovenica
Slovensko Kemijsko Drustvo, Ljubljana., 62(1), 190-195.
https://hdl.handle.net/21.15107/rcub_agrospace_3795

Podunavac-Kuzmanović S, Jevrić L, Svarc-Gajić J, Kovacević S, Vasiljević I, Kecojević I, Ivanović E. Artificial Neural Network Approach to Modelling of Metal Contents in Different Types of Chocolates. in Acta Chimica Slovenica. 2015;62(1):190-195.
https://hdl.handle.net/21.15107/rcub_agrospace_3795 .

Podunavac-Kuzmanović, Sanja, Jevrić, Lidija, Svarc-Gajić, Jaroslava, Kovacević, Strahinja, Vasiljević, Ivana, Kecojević, Isidora, Ivanović, Evica, "Artificial Neural Network Approach to Modelling of Metal Contents in Different Types of Chocolates" in Acta Chimica Slovenica, 62, no. 1 (2015):190-195,
https://hdl.handle.net/21.15107/rcub_agrospace_3795 .