FarFaR - Pharmacy Repository
University of Belgrade, Faculty of Pharmacy
    • English
    • Српски
    • Српски (Serbia)
  • English 
    • English
    • Serbian (Cyrillic)
    • Serbian (Latin)
  • Login
View Item 
  •   FarFaR
  • Pharmacy
  • Radovi istraživača / Researchers’ publications
  • View Item
  •   FarFaR
  • Pharmacy
  • Radovi istraživača / Researchers’ publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Use of biopartitioning micellar chromatography and RP-HPLC for the determination of blood-brain barrier penetration of alpha-adrenergic/imidazoline receptor ligands, and QSPR analysis

Authorized Users Only
2017
Authors
Vučićević, Jelica
Popović, Marija
Nikolić, Katarina
Filipić, Slavica
Obradović, Darija
Agbaba, Danica
Article (Published version)
Metadata
Show full item record
Abstract
For this study, 31 compounds, including 16 imidazoline/alpha-adrenergic receptor (IRs/alpha-ARs) ligands and 15 central nervous system (CNS) drugs, were characterized in terms of the retention factors (k) obtained using biopartitioning micellar and classical reversed phase chromatography (log k (BMC) and log k (wRP), respectively). Based on the retention factor (log k(wRP)) and slope of the linear curve (S) the isocratic parameter ((sic)(0)) was calculated. Obtained retention factors were correlated with experimental log BB values for the group of examined compounds. High correlations were obtained between logarithm of biopartitioning micellar chromatography (BMC) retention factor and effective permeability (r(log k(BMC) /log BB): 0.77), while for RP-HPLC system the correlations were lower (r(log k(wRP) /log BB): 0.58; r(S/log BB): -0.50; r((sic)(0) /P-e): 0.61). Based on the log k(BMC) retention data and calculated molecular parameters of the examined compounds, quantitative structure...-permeability relationship (QSPR) models were developed using partial least squares, stepwise multiple linear regression, support vector machine and artificial neural network methodologies. A high degree of structural diversity of the analysed IRs/alpha-ARs ligands and CNS drugs provides wide applicability domain of the QSPR models for estimation of blood-brain barrier penetration of the related compounds.

Source:
Saudi Pharmaceutical Journal, 2017, 28, 3, 235-252
Publisher:
  • Taylor & Francis Ltd, Abingdon
Funding / projects:
  • Synthesis, Quantitative Structure and Activity Relationship, Physico-Chemical Characterisation and Analysis of Pharmacologically Active Substances (RS-172033)
  • EU COST Action CA 15135
  • EU COST Action CM 1207

DOI: 10.1080/1062936X.2017.1302506

ISSN: 1062-936X

PubMed: 28332439

WoS: 000398072900004

Scopus: 2-s2.0-85016024069
[ Google Scholar ]
5
4
URI
https://farfar.pharmacy.bg.ac.rs/handle/123456789/2900
Collections
  • Radovi istraživača / Researchers’ publications
Institution/Community
Pharmacy
TY  - JOUR
AU  - Vučićević, Jelica
AU  - Popović, Marija
AU  - Nikolić, Katarina
AU  - Filipić, Slavica
AU  - Obradović, Darija
AU  - Agbaba, Danica
PY  - 2017
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/2900
AB  - For this study, 31 compounds, including 16 imidazoline/alpha-adrenergic receptor (IRs/alpha-ARs) ligands and 15 central nervous system (CNS) drugs, were characterized in terms of the retention factors (k) obtained using biopartitioning micellar and classical reversed phase chromatography (log k (BMC) and log k (wRP), respectively). Based on the retention factor (log k(wRP)) and slope of the linear curve (S) the isocratic parameter ((sic)(0)) was calculated. Obtained retention factors were correlated with experimental log BB values for the group of examined compounds. High correlations were obtained between logarithm of biopartitioning micellar chromatography (BMC) retention factor and effective permeability (r(log k(BMC) /log BB): 0.77), while for RP-HPLC system the correlations were lower (r(log k(wRP) /log BB): 0.58; r(S/log BB): -0.50; r((sic)(0) /P-e): 0.61). Based on the log k(BMC) retention data and calculated molecular parameters of the examined compounds, quantitative structure-permeability relationship (QSPR) models were developed using partial least squares, stepwise multiple linear regression, support vector machine and artificial neural network methodologies. A high degree of structural diversity of the analysed IRs/alpha-ARs ligands and CNS drugs provides wide applicability domain of the QSPR models for estimation of blood-brain barrier penetration of the related compounds.
PB  - Taylor & Francis Ltd, Abingdon
T2  - Saudi Pharmaceutical Journal
T1  - Use of biopartitioning micellar chromatography and RP-HPLC for the determination of blood-brain barrier penetration of alpha-adrenergic/imidazoline receptor ligands, and QSPR analysis
VL  - 28
IS  - 3
SP  - 235
EP  - 252
DO  - 10.1080/1062936X.2017.1302506
ER  - 
@article{
author = "Vučićević, Jelica and Popović, Marija and Nikolić, Katarina and Filipić, Slavica and Obradović, Darija and Agbaba, Danica",
year = "2017",
abstract = "For this study, 31 compounds, including 16 imidazoline/alpha-adrenergic receptor (IRs/alpha-ARs) ligands and 15 central nervous system (CNS) drugs, were characterized in terms of the retention factors (k) obtained using biopartitioning micellar and classical reversed phase chromatography (log k (BMC) and log k (wRP), respectively). Based on the retention factor (log k(wRP)) and slope of the linear curve (S) the isocratic parameter ((sic)(0)) was calculated. Obtained retention factors were correlated with experimental log BB values for the group of examined compounds. High correlations were obtained between logarithm of biopartitioning micellar chromatography (BMC) retention factor and effective permeability (r(log k(BMC) /log BB): 0.77), while for RP-HPLC system the correlations were lower (r(log k(wRP) /log BB): 0.58; r(S/log BB): -0.50; r((sic)(0) /P-e): 0.61). Based on the log k(BMC) retention data and calculated molecular parameters of the examined compounds, quantitative structure-permeability relationship (QSPR) models were developed using partial least squares, stepwise multiple linear regression, support vector machine and artificial neural network methodologies. A high degree of structural diversity of the analysed IRs/alpha-ARs ligands and CNS drugs provides wide applicability domain of the QSPR models for estimation of blood-brain barrier penetration of the related compounds.",
publisher = "Taylor & Francis Ltd, Abingdon",
journal = "Saudi Pharmaceutical Journal",
title = "Use of biopartitioning micellar chromatography and RP-HPLC for the determination of blood-brain barrier penetration of alpha-adrenergic/imidazoline receptor ligands, and QSPR analysis",
volume = "28",
number = "3",
pages = "235-252",
doi = "10.1080/1062936X.2017.1302506"
}
Vučićević, J., Popović, M., Nikolić, K., Filipić, S., Obradović, D.,& Agbaba, D.. (2017). Use of biopartitioning micellar chromatography and RP-HPLC for the determination of blood-brain barrier penetration of alpha-adrenergic/imidazoline receptor ligands, and QSPR analysis. in Saudi Pharmaceutical Journal
Taylor & Francis Ltd, Abingdon., 28(3), 235-252.
https://doi.org/10.1080/1062936X.2017.1302506
Vučićević J, Popović M, Nikolić K, Filipić S, Obradović D, Agbaba D. Use of biopartitioning micellar chromatography and RP-HPLC for the determination of blood-brain barrier penetration of alpha-adrenergic/imidazoline receptor ligands, and QSPR analysis. in Saudi Pharmaceutical Journal. 2017;28(3):235-252.
doi:10.1080/1062936X.2017.1302506 .
Vučićević, Jelica, Popović, Marija, Nikolić, Katarina, Filipić, Slavica, Obradović, Darija, Agbaba, Danica, "Use of biopartitioning micellar chromatography and RP-HPLC for the determination of blood-brain barrier penetration of alpha-adrenergic/imidazoline receptor ligands, and QSPR analysis" in Saudi Pharmaceutical Journal, 28, no. 3 (2017):235-252,
https://doi.org/10.1080/1062936X.2017.1302506 . .

DSpace software copyright © 2002-2015  DuraSpace
About FarFaR - Pharmacy Repository | Send Feedback

OpenAIRERCUB
 

 

All of DSpaceCommunitiesAuthorsTitlesSubjectsThis institutionAuthorsTitlesSubjects

Statistics

View Usage Statistics

DSpace software copyright © 2002-2015  DuraSpace
About FarFaR - Pharmacy Repository | Send Feedback

OpenAIRERCUB