Nešić, Dejan M.

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37114fdb-da38-4301-aed1-1186604588db
  • Nešić, Dejan M. (5)
  • Nešić, Dejan (1)
Projects

Author's Bibliography

Employing machine learning to assess the accuracy of near-infrared spectroscopy of spent dialysate fluid in monitoring the blood concentrations of uremic toxins

Trbojević-Stanković, Jasna B.; Matović, Valentina D.; Jeftić, Branislava D.; Nešić, Dejan; Odović, Jadranka; Perović-Blagojević, Iva; Topalović, Nikola; Matija, Lidija R.

(Institut za Bioloska Istrazivanja, 2023)

TY  - JOUR
AU  - Trbojević-Stanković, Jasna B.
AU  - Matović, Valentina D.
AU  - Jeftić, Branislava D.
AU  - Nešić, Dejan
AU  - Odović, Jadranka
AU  - Perović-Blagojević, Iva
AU  - Topalović, Nikola
AU  - Matija, Lidija R.
PY  - 2023
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/5263
AB  - Hemodialysis (HD) removes nitrogenous waste products from patients’ blood through a semipermeable mem- brane along a concentration gradient. Near-infrared spectroscopy (NIRS) is an underexplored method of monitoring the concentrations of several molecules that reflect the efficacy of the HD process in dialysate samples. In this study, we aimed to evaluate NIRS as a technique for the non-invasive detection of uremic solutes by assessing the correlations between the spectrum of the spent dialysate and the serum levels of urea, creatinine, and uric acid. Blood and dialysate samples were taken from 35 patients on maintenance HD. The absorption spectrum of each dialysate sample was measured three times in the wavelength range of 700-1700 nm, resulting in a dataset with 315 spectra. The artificial neural network (ANN) learn- ing technique was used to assess the correlations between the recorded NIR-absorbance spectra of the spent dialysate and serum levels of selected uremic toxins. Very good correlations between the NIR-absorbance spectra of the spent dialysate fluid with serum urea (R=0.91) and uric acid (R=0.91) and an excellent correlation with serum creatinine (R=0.97) were obtained. These results support the application of NIRS as a non-invasive, safe, accurate, and repetitive technique for online monitoring of uremic toxins to assist clinicians in assessing HD efficiency and individualization of HD treatments.
PB  - Institut za Bioloska Istrazivanja
T2  - Archives of Biological Sciences
T1  - Employing machine learning to assess the accuracy of near-infrared spectroscopy of spent dialysate fluid in monitoring the blood concentrations of uremic toxins
VL  - 75
IS  - 3
SP  - 309
EP  - 317
DO  - 10.2298/ABS230502025T
ER  - 
@article{
author = "Trbojević-Stanković, Jasna B. and Matović, Valentina D. and Jeftić, Branislava D. and Nešić, Dejan and Odović, Jadranka and Perović-Blagojević, Iva and Topalović, Nikola and Matija, Lidija R.",
year = "2023",
abstract = "Hemodialysis (HD) removes nitrogenous waste products from patients’ blood through a semipermeable mem- brane along a concentration gradient. Near-infrared spectroscopy (NIRS) is an underexplored method of monitoring the concentrations of several molecules that reflect the efficacy of the HD process in dialysate samples. In this study, we aimed to evaluate NIRS as a technique for the non-invasive detection of uremic solutes by assessing the correlations between the spectrum of the spent dialysate and the serum levels of urea, creatinine, and uric acid. Blood and dialysate samples were taken from 35 patients on maintenance HD. The absorption spectrum of each dialysate sample was measured three times in the wavelength range of 700-1700 nm, resulting in a dataset with 315 spectra. The artificial neural network (ANN) learn- ing technique was used to assess the correlations between the recorded NIR-absorbance spectra of the spent dialysate and serum levels of selected uremic toxins. Very good correlations between the NIR-absorbance spectra of the spent dialysate fluid with serum urea (R=0.91) and uric acid (R=0.91) and an excellent correlation with serum creatinine (R=0.97) were obtained. These results support the application of NIRS as a non-invasive, safe, accurate, and repetitive technique for online monitoring of uremic toxins to assist clinicians in assessing HD efficiency and individualization of HD treatments.",
publisher = "Institut za Bioloska Istrazivanja",
journal = "Archives of Biological Sciences",
title = "Employing machine learning to assess the accuracy of near-infrared spectroscopy of spent dialysate fluid in monitoring the blood concentrations of uremic toxins",
volume = "75",
number = "3",
pages = "309-317",
doi = "10.2298/ABS230502025T"
}
Trbojević-Stanković, J. B., Matović, V. D., Jeftić, B. D., Nešić, D., Odović, J., Perović-Blagojević, I., Topalović, N.,& Matija, L. R.. (2023). Employing machine learning to assess the accuracy of near-infrared spectroscopy of spent dialysate fluid in monitoring the blood concentrations of uremic toxins. in Archives of Biological Sciences
Institut za Bioloska Istrazivanja., 75(3), 309-317.
https://doi.org/10.2298/ABS230502025T
Trbojević-Stanković JB, Matović VD, Jeftić BD, Nešić D, Odović J, Perović-Blagojević I, Topalović N, Matija LR. Employing machine learning to assess the accuracy of near-infrared spectroscopy of spent dialysate fluid in monitoring the blood concentrations of uremic toxins. in Archives of Biological Sciences. 2023;75(3):309-317.
doi:10.2298/ABS230502025T .
Trbojević-Stanković, Jasna B., Matović, Valentina D., Jeftić, Branislava D., Nešić, Dejan, Odović, Jadranka, Perović-Blagojević, Iva, Topalović, Nikola, Matija, Lidija R., "Employing machine learning to assess the accuracy of near-infrared spectroscopy of spent dialysate fluid in monitoring the blood concentrations of uremic toxins" in Archives of Biological Sciences, 75, no. 3 (2023):309-317,
https://doi.org/10.2298/ABS230502025T . .

Estimation of plasma protein binding of selected antipsychotics using computed molecular properties

Berić, Jelena D.; Jelić, Ratomir; Nešić, Dejan M.; Trbojević-Stanković, Jasna; Odović, Jadranka

(Srpsko biološko društvo, Beograd, i dr., 2017)

TY  - JOUR
AU  - Berić, Jelena D.
AU  - Jelić, Ratomir
AU  - Nešić, Dejan M.
AU  - Trbojević-Stanković, Jasna
AU  - Odović, Jadranka
PY  - 2017
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/2794
AB  - The plasma protein binding (PPB) data of twelve antipsychotics (aripiprazole, clozapine, olanzapine, quetiapine, risperidone, sertindole, ziprasidone, chlorpromazine, flupentixol, fluphenazine, haloperidol, zuclopenthixol) were estimated using computed molecular descriptors, which included the electronic descriptor - polar surface area (PSA), the constitutional parameter - molecular weight (Mw), the geometric descriptor - volume value (Vol), the lipophilicity descriptor (logP) and aqueous solubility data (logS), and the acidity descriptor (pK(a)). The relationships between computed molecular properties of the selected antipsychotics and their PPB data were investigated by simple linear regression analysis. Low correlations were obtained between the PPB data of the antipsychotics and PSA, Mw, Vol, pKa, logS (R  lt  0.30) values, while relatively higher correlations (0.35 lt R-2 lt 0.70) were obtained for the majority of logP values. Multiple linear regression (MLR) analysis was applied to access reliable correlations of the PPB data of the antipsychotics and the computed molecular descriptors. Relationships with acceptable probability values (P lt 0.05) were established for five lipophilicity descriptors (logP values) with application of the acidity descriptor (pKa) as independent variables: AlogP (R-2=0.705), XlogP3 (R-2=0.679), ClogP (R-2=0.590), XlogP2 (R-2=0.567), as well as for the experimental lipophilicity parameter, logPexp (R-2=0.635). The best correlations obtained in MLR using AlogP and pKa as independent variables were checked using three additional antipsychotics: loxapine, sulpiride and amisulpride, with the PPB values of 97%, "less than" 40% and 17%, respectively. Their predicted PPB values were relatively close to the literature data. The proposed technique confirmed that lipophilicity, together with acidity significantly influences the PPB of antipsychotics. The described procedure can be regarded as an additional in vitro approach to the modeling of the investigated group of drugs.
PB  - Srpsko biološko društvo, Beograd, i dr.
T2  - Archives of Biological Sciences
T1  - Estimation of plasma protein binding of selected antipsychotics using computed molecular properties
VL  - 69
IS  - 3
SP  - 463
EP  - 468
DO  - 10.2298/ABS160912121B
ER  - 
@article{
author = "Berić, Jelena D. and Jelić, Ratomir and Nešić, Dejan M. and Trbojević-Stanković, Jasna and Odović, Jadranka",
year = "2017",
abstract = "The plasma protein binding (PPB) data of twelve antipsychotics (aripiprazole, clozapine, olanzapine, quetiapine, risperidone, sertindole, ziprasidone, chlorpromazine, flupentixol, fluphenazine, haloperidol, zuclopenthixol) were estimated using computed molecular descriptors, which included the electronic descriptor - polar surface area (PSA), the constitutional parameter - molecular weight (Mw), the geometric descriptor - volume value (Vol), the lipophilicity descriptor (logP) and aqueous solubility data (logS), and the acidity descriptor (pK(a)). The relationships between computed molecular properties of the selected antipsychotics and their PPB data were investigated by simple linear regression analysis. Low correlations were obtained between the PPB data of the antipsychotics and PSA, Mw, Vol, pKa, logS (R  lt  0.30) values, while relatively higher correlations (0.35 lt R-2 lt 0.70) were obtained for the majority of logP values. Multiple linear regression (MLR) analysis was applied to access reliable correlations of the PPB data of the antipsychotics and the computed molecular descriptors. Relationships with acceptable probability values (P lt 0.05) were established for five lipophilicity descriptors (logP values) with application of the acidity descriptor (pKa) as independent variables: AlogP (R-2=0.705), XlogP3 (R-2=0.679), ClogP (R-2=0.590), XlogP2 (R-2=0.567), as well as for the experimental lipophilicity parameter, logPexp (R-2=0.635). The best correlations obtained in MLR using AlogP and pKa as independent variables were checked using three additional antipsychotics: loxapine, sulpiride and amisulpride, with the PPB values of 97%, "less than" 40% and 17%, respectively. Their predicted PPB values were relatively close to the literature data. The proposed technique confirmed that lipophilicity, together with acidity significantly influences the PPB of antipsychotics. The described procedure can be regarded as an additional in vitro approach to the modeling of the investigated group of drugs.",
publisher = "Srpsko biološko društvo, Beograd, i dr.",
journal = "Archives of Biological Sciences",
title = "Estimation of plasma protein binding of selected antipsychotics using computed molecular properties",
volume = "69",
number = "3",
pages = "463-468",
doi = "10.2298/ABS160912121B"
}
Berić, J. D., Jelić, R., Nešić, D. M., Trbojević-Stanković, J.,& Odović, J.. (2017). Estimation of plasma protein binding of selected antipsychotics using computed molecular properties. in Archives of Biological Sciences
Srpsko biološko društvo, Beograd, i dr.., 69(3), 463-468.
https://doi.org/10.2298/ABS160912121B
Berić JD, Jelić R, Nešić DM, Trbojević-Stanković J, Odović J. Estimation of plasma protein binding of selected antipsychotics using computed molecular properties. in Archives of Biological Sciences. 2017;69(3):463-468.
doi:10.2298/ABS160912121B .
Berić, Jelena D., Jelić, Ratomir, Nešić, Dejan M., Trbojević-Stanković, Jasna, Odović, Jadranka, "Estimation of plasma protein binding of selected antipsychotics using computed molecular properties" in Archives of Biological Sciences, 69, no. 3 (2017):463-468,
https://doi.org/10.2298/ABS160912121B . .
2
1

Assessment of the relationship between the molecular properties of calcium channel blockers and plasma protein binding data

Odović, Jadranka; Trbojević, Jovana B.; Trbojević-Stanković, Jasna; Nešić, Dejan M.; Jelić, Ratomir

(Srpsko biološko društvo, Beograd, i dr., 2017)

TY  - JOUR
AU  - Odović, Jadranka
AU  - Trbojević, Jovana B.
AU  - Trbojević-Stanković, Jasna
AU  - Nešić, Dejan M.
AU  - Jelić, Ratomir
PY  - 2017
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/2904
AB  - In this study we investigated the relationship between the calcium channel blockers (CCBs), amlodipine, felodipine, isradipine, nicardipine, nifedipine, nimodipine, nisoldipine, verapamil and diltiazem, and their calculated molecular descriptors: polar surface area (PSA), molecular weight (Mw), volume value (Vol), aqueous solubility data (logS), lipophilicity (logP), acidity (pKa values) and plasma protein binding (PPB) data, obtained from relevant literature. The relationships between the computed molecular properties of selected CCBs and their PPB data were investigated by simple linear regression analysis that revealed very low correlations (R2 lt 0.35). When multiple linear regression (MLR) analysis was applied to investigate reliable correlations between the CCBs' calculated molecular descriptors and PPB data, the best correlations were found for the relationships between CCBs, and PPB data and lipophilicity, and with application of the molecular descriptor (Mw, Vol, or pKa) data as additional independent variables (R2=0.623; R2=0.741; R2=0.657, respectively), with an acceptable probability value (P lt 0.05), confirming that lipophilicity, together with other molecular properties, are essential for the drugs' PPB. We conclude that this could be considered as an additional in vitro approach for modeling CCBs.
PB  - Srpsko biološko društvo, Beograd, i dr.
T2  - Archives of Biological Sciences
T1  - Assessment of the relationship between the molecular properties of calcium channel blockers and plasma protein binding data
VL  - 69
IS  - 1
SP  - 175
EP  - 179
DO  - 10.2298/ABS160609094O
ER  - 
@article{
author = "Odović, Jadranka and Trbojević, Jovana B. and Trbojević-Stanković, Jasna and Nešić, Dejan M. and Jelić, Ratomir",
year = "2017",
abstract = "In this study we investigated the relationship between the calcium channel blockers (CCBs), amlodipine, felodipine, isradipine, nicardipine, nifedipine, nimodipine, nisoldipine, verapamil and diltiazem, and their calculated molecular descriptors: polar surface area (PSA), molecular weight (Mw), volume value (Vol), aqueous solubility data (logS), lipophilicity (logP), acidity (pKa values) and plasma protein binding (PPB) data, obtained from relevant literature. The relationships between the computed molecular properties of selected CCBs and their PPB data were investigated by simple linear regression analysis that revealed very low correlations (R2 lt 0.35). When multiple linear regression (MLR) analysis was applied to investigate reliable correlations between the CCBs' calculated molecular descriptors and PPB data, the best correlations were found for the relationships between CCBs, and PPB data and lipophilicity, and with application of the molecular descriptor (Mw, Vol, or pKa) data as additional independent variables (R2=0.623; R2=0.741; R2=0.657, respectively), with an acceptable probability value (P lt 0.05), confirming that lipophilicity, together with other molecular properties, are essential for the drugs' PPB. We conclude that this could be considered as an additional in vitro approach for modeling CCBs.",
publisher = "Srpsko biološko društvo, Beograd, i dr.",
journal = "Archives of Biological Sciences",
title = "Assessment of the relationship between the molecular properties of calcium channel blockers and plasma protein binding data",
volume = "69",
number = "1",
pages = "175-179",
doi = "10.2298/ABS160609094O"
}
Odović, J., Trbojević, J. B., Trbojević-Stanković, J., Nešić, D. M.,& Jelić, R.. (2017). Assessment of the relationship between the molecular properties of calcium channel blockers and plasma protein binding data. in Archives of Biological Sciences
Srpsko biološko društvo, Beograd, i dr.., 69(1), 175-179.
https://doi.org/10.2298/ABS160609094O
Odović J, Trbojević JB, Trbojević-Stanković J, Nešić DM, Jelić R. Assessment of the relationship between the molecular properties of calcium channel blockers and plasma protein binding data. in Archives of Biological Sciences. 2017;69(1):175-179.
doi:10.2298/ABS160609094O .
Odović, Jadranka, Trbojević, Jovana B., Trbojević-Stanković, Jasna, Nešić, Dejan M., Jelić, Ratomir, "Assessment of the relationship between the molecular properties of calcium channel blockers and plasma protein binding data" in Archives of Biological Sciences, 69, no. 1 (2017):175-179,
https://doi.org/10.2298/ABS160609094O . .
2
1
3

Relationship between the bioavailability and molecular properties of angiotensin II receptor antagonists

Trbojević, Jovana B.; Odović, Jadranka; Trbojević-Stanković, Jasna; Nešić, Dejan M.; Jelić, Ratomir

(Srpsko biološko društvo, Beograd, i dr., 2016)

TY  - JOUR
AU  - Trbojević, Jovana B.
AU  - Odović, Jadranka
AU  - Trbojević-Stanković, Jasna
AU  - Nešić, Dejan M.
AU  - Jelić, Ratomir
PY  - 2016
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/2536
AB  - In the present study, we investigated the relationships between several molecular properties and bioavailability data for seven of the most commonly prescribed angiotensin II receptor antagonists (also known as angiotensin II receptor blockers (ARBs) or sartans), candesartan, eprosartan, irbesartan, losartan, olmesartan, telmisartan and valsartan. The molecular descriptors of ARBs are:, aqueous solubility (logS values), polar surface area (PSA), molecular weight (Mw), volume value (Vol), lipophilicity (logP values) and the acidity descriptor (pK(a1)). The respective descriptors were calculated using four different software packages. The relevant bioavailability data were obtained from literature. Among calculated molecular descriptors, simple linear regression analysis showed the best correlation between bioavailability data and the lipophilicity descriptor, logP (R-2 = 0.568). Multiple linear regression established good correlations between bioavailability and the lipophilicity descriptor, logP, using the molecular weight, Mw, or the acidity descriptor, pK(a1), as an additional, independent variable (with R-2 = 0.661 and 0.682, respectively). Finally, excluding candesartan from the calculations resulted in a very good correlation (R-2 = 0.852) between the remaining ARB bioavailability and molecular descriptors MlogP and Mw as independent variables, determined by multiple linear regression.
PB  - Srpsko biološko društvo, Beograd, i dr.
T2  - Archives of Biological Sciences
T1  - Relationship between the bioavailability and molecular properties of angiotensin II receptor antagonists
VL  - 68
IS  - 2
SP  - 273
EP  - 278
DO  - 10.2298/ABS150915015T
ER  - 
@article{
author = "Trbojević, Jovana B. and Odović, Jadranka and Trbojević-Stanković, Jasna and Nešić, Dejan M. and Jelić, Ratomir",
year = "2016",
abstract = "In the present study, we investigated the relationships between several molecular properties and bioavailability data for seven of the most commonly prescribed angiotensin II receptor antagonists (also known as angiotensin II receptor blockers (ARBs) or sartans), candesartan, eprosartan, irbesartan, losartan, olmesartan, telmisartan and valsartan. The molecular descriptors of ARBs are:, aqueous solubility (logS values), polar surface area (PSA), molecular weight (Mw), volume value (Vol), lipophilicity (logP values) and the acidity descriptor (pK(a1)). The respective descriptors were calculated using four different software packages. The relevant bioavailability data were obtained from literature. Among calculated molecular descriptors, simple linear regression analysis showed the best correlation between bioavailability data and the lipophilicity descriptor, logP (R-2 = 0.568). Multiple linear regression established good correlations between bioavailability and the lipophilicity descriptor, logP, using the molecular weight, Mw, or the acidity descriptor, pK(a1), as an additional, independent variable (with R-2 = 0.661 and 0.682, respectively). Finally, excluding candesartan from the calculations resulted in a very good correlation (R-2 = 0.852) between the remaining ARB bioavailability and molecular descriptors MlogP and Mw as independent variables, determined by multiple linear regression.",
publisher = "Srpsko biološko društvo, Beograd, i dr.",
journal = "Archives of Biological Sciences",
title = "Relationship between the bioavailability and molecular properties of angiotensin II receptor antagonists",
volume = "68",
number = "2",
pages = "273-278",
doi = "10.2298/ABS150915015T"
}
Trbojević, J. B., Odović, J., Trbojević-Stanković, J., Nešić, D. M.,& Jelić, R.. (2016). Relationship between the bioavailability and molecular properties of angiotensin II receptor antagonists. in Archives of Biological Sciences
Srpsko biološko društvo, Beograd, i dr.., 68(2), 273-278.
https://doi.org/10.2298/ABS150915015T
Trbojević JB, Odović J, Trbojević-Stanković J, Nešić DM, Jelić R. Relationship between the bioavailability and molecular properties of angiotensin II receptor antagonists. in Archives of Biological Sciences. 2016;68(2):273-278.
doi:10.2298/ABS150915015T .
Trbojević, Jovana B., Odović, Jadranka, Trbojević-Stanković, Jasna, Nešić, Dejan M., Jelić, Ratomir, "Relationship between the bioavailability and molecular properties of angiotensin II receptor antagonists" in Archives of Biological Sciences, 68, no. 2 (2016):273-278,
https://doi.org/10.2298/ABS150915015T . .
3
3
4

The effect of the molecular properties of calcium channel blockers on their elimination route

Trbojević-Stanković, Jasna; Odović, Jadranka; Jelić, Ratomir; Nešić, Dejan M.; Stojimirović, Biljana

(Srpsko biološko društvo, Beograd, i dr., 2015)

TY  - JOUR
AU  - Trbojević-Stanković, Jasna
AU  - Odović, Jadranka
AU  - Jelić, Ratomir
AU  - Nešić, Dejan M.
AU  - Stojimirović, Biljana
PY  - 2015
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/2356
AB  - Calcium channel blockers (CCBs) are among the most widely used drugs in cardiovascular medicine. In this study, nine CCBs (amlodipine, felodipine, isradipine, nicardipine, nifedipine, nimodipine, nisoldipine, verapamil and diltiazem) were investigated to assess the relationship between their molecular properties and elimination data obtained from literature. The descriptors of the molecular properties of CCBs were calculated using three software packages. The relationship between computed molecular properties and elimination data collected from relevant literature, initially investigated with simple linear regression analysis, showed poor correlation (R-2  lt  0.25). Application of molecular weight or volume data as additional independent variable, multiple linear regression (MLR) revealed better correlations (R-2 similar to 0.38) between CCB renal and fecal elimination data and their lipophilicity. Excluding nimodipine from the calculations resulted in more acceptable correlations. The best correlations were established after computed lipophilicity descriptor and molecular weight were applied (R-2 = 0.66 with acceptable probability value).
PB  - Srpsko biološko društvo, Beograd, i dr.
T2  - Archives of Biological Sciences
T1  - The effect of the molecular properties of calcium channel blockers on their elimination route
VL  - 67
IS  - 3
SP  - 801
EP  - 806
DO  - 10.2298/ABS150127039T
ER  - 
@article{
author = "Trbojević-Stanković, Jasna and Odović, Jadranka and Jelić, Ratomir and Nešić, Dejan M. and Stojimirović, Biljana",
year = "2015",
abstract = "Calcium channel blockers (CCBs) are among the most widely used drugs in cardiovascular medicine. In this study, nine CCBs (amlodipine, felodipine, isradipine, nicardipine, nifedipine, nimodipine, nisoldipine, verapamil and diltiazem) were investigated to assess the relationship between their molecular properties and elimination data obtained from literature. The descriptors of the molecular properties of CCBs were calculated using three software packages. The relationship between computed molecular properties and elimination data collected from relevant literature, initially investigated with simple linear regression analysis, showed poor correlation (R-2  lt  0.25). Application of molecular weight or volume data as additional independent variable, multiple linear regression (MLR) revealed better correlations (R-2 similar to 0.38) between CCB renal and fecal elimination data and their lipophilicity. Excluding nimodipine from the calculations resulted in more acceptable correlations. The best correlations were established after computed lipophilicity descriptor and molecular weight were applied (R-2 = 0.66 with acceptable probability value).",
publisher = "Srpsko biološko društvo, Beograd, i dr.",
journal = "Archives of Biological Sciences",
title = "The effect of the molecular properties of calcium channel blockers on their elimination route",
volume = "67",
number = "3",
pages = "801-806",
doi = "10.2298/ABS150127039T"
}
Trbojević-Stanković, J., Odović, J., Jelić, R., Nešić, D. M.,& Stojimirović, B.. (2015). The effect of the molecular properties of calcium channel blockers on their elimination route. in Archives of Biological Sciences
Srpsko biološko društvo, Beograd, i dr.., 67(3), 801-806.
https://doi.org/10.2298/ABS150127039T
Trbojević-Stanković J, Odović J, Jelić R, Nešić DM, Stojimirović B. The effect of the molecular properties of calcium channel blockers on their elimination route. in Archives of Biological Sciences. 2015;67(3):801-806.
doi:10.2298/ABS150127039T .
Trbojević-Stanković, Jasna, Odović, Jadranka, Jelić, Ratomir, Nešić, Dejan M., Stojimirović, Biljana, "The effect of the molecular properties of calcium channel blockers on their elimination route" in Archives of Biological Sciences, 67, no. 3 (2015):801-806,
https://doi.org/10.2298/ABS150127039T . .
3
4
5

The influence of certain molecular descriptors of fecal elimination of angiotensin II receptor antagonists

Trbojević-Stanković, Jasna; Odović, Jadranka; Jelić, Ratomir; Nešić, Dejan M.; Stojimirović, Biljana

(Srpsko biološko društvo, Beograd, i dr., 2015)

TY  - JOUR
AU  - Trbojević-Stanković, Jasna
AU  - Odović, Jadranka
AU  - Jelić, Ratomir
AU  - Nešić, Dejan M.
AU  - Stojimirović, Biljana
PY  - 2015
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/2420
AB  - Angiotensin II receptor antagonists (ARBs) modulate the function of the renin-angiotensin-aldosterone system and are commonly prescribed antihypertensive drugs, especially in patients with renal failure. In this study, the relationship between several molecular properties of seven ARBs (candesartan, eprosartan, irbesartan, losartan, olmesartan, telmisartan, valsartan) and their fecal elimination data obtained from the literature were investigated. The ARB molecular descriptors were calculated using three software packages. Simple linear regression analysis showed the best correlation between fecal elimination data and lipophilicity descriptor, ClogP values (R-2 = 0.725). Multiple linear regression was applied to examine the correlation of ARBs' fecal elimination data with their lipophilicity and one additional, calculated descriptor. The best correlation (R-2 = 0.909 with an acceptable probability value, P  lt  0.05) was established between the ARB fecal elimination data and their lipophilicity and aqueous solubility data. Applying computed molecular descriptors for evaluating drug elimination is of great importance in drug research.
PB  - Srpsko biološko društvo, Beograd, i dr.
T2  - Archives of Biological Sciences
T1  - The influence of certain molecular descriptors of fecal elimination of angiotensin II receptor antagonists
VL  - 67
IS  - 1
SP  - 103
EP  - 109
DO  - 10.2298/ABS141104011T
ER  - 
@article{
author = "Trbojević-Stanković, Jasna and Odović, Jadranka and Jelić, Ratomir and Nešić, Dejan M. and Stojimirović, Biljana",
year = "2015",
abstract = "Angiotensin II receptor antagonists (ARBs) modulate the function of the renin-angiotensin-aldosterone system and are commonly prescribed antihypertensive drugs, especially in patients with renal failure. In this study, the relationship between several molecular properties of seven ARBs (candesartan, eprosartan, irbesartan, losartan, olmesartan, telmisartan, valsartan) and their fecal elimination data obtained from the literature were investigated. The ARB molecular descriptors were calculated using three software packages. Simple linear regression analysis showed the best correlation between fecal elimination data and lipophilicity descriptor, ClogP values (R-2 = 0.725). Multiple linear regression was applied to examine the correlation of ARBs' fecal elimination data with their lipophilicity and one additional, calculated descriptor. The best correlation (R-2 = 0.909 with an acceptable probability value, P  lt  0.05) was established between the ARB fecal elimination data and their lipophilicity and aqueous solubility data. Applying computed molecular descriptors for evaluating drug elimination is of great importance in drug research.",
publisher = "Srpsko biološko društvo, Beograd, i dr.",
journal = "Archives of Biological Sciences",
title = "The influence of certain molecular descriptors of fecal elimination of angiotensin II receptor antagonists",
volume = "67",
number = "1",
pages = "103-109",
doi = "10.2298/ABS141104011T"
}
Trbojević-Stanković, J., Odović, J., Jelić, R., Nešić, D. M.,& Stojimirović, B.. (2015). The influence of certain molecular descriptors of fecal elimination of angiotensin II receptor antagonists. in Archives of Biological Sciences
Srpsko biološko društvo, Beograd, i dr.., 67(1), 103-109.
https://doi.org/10.2298/ABS141104011T
Trbojević-Stanković J, Odović J, Jelić R, Nešić DM, Stojimirović B. The influence of certain molecular descriptors of fecal elimination of angiotensin II receptor antagonists. in Archives of Biological Sciences. 2015;67(1):103-109.
doi:10.2298/ABS141104011T .
Trbojević-Stanković, Jasna, Odović, Jadranka, Jelić, Ratomir, Nešić, Dejan M., Stojimirović, Biljana, "The influence of certain molecular descriptors of fecal elimination of angiotensin II receptor antagonists" in Archives of Biological Sciences, 67, no. 1 (2015):103-109,
https://doi.org/10.2298/ABS141104011T . .
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