Prediction of blood-brain barrier permeation of alpha-adrenergic and imidazoline receptor ligands using PAMPA technique and quantitative-structure permeability relationship analysis
Abstract
Imidazoline receptor ligands are a numerous family of biologically active compounds known to produce central hypotensive effect by interaction with both alpha(2)-adrenoreceptors (alpha(2)-AR) and imidazoline receptors (IRs). Recent hypotheses connect those ligands with several neurological disorders. Therefore some IRs ligands are examined as novel centrally acting antihypertensives and drug candidates for treatment of various neurological diseases. Effective Blood-Brain Barrier (BBB) permeability (P-e) of 18 IRs/alpha-ARs ligands and 22 Central Nervous System (CNS) drugs was experimentally determined using Parallel Artificial Membrane Permeability Assay (PAMPA) and studied by the Quantitative-Structure-Permeability Relationship (QSPR) methodology. The dominant molecules/cations species of compounds have been calculated at pH = 7.4. The analyzed ligands were optimized using Density Functional Theory (B3LYP/6-31G(d,p)) included in ChemBio3D Ultra 13.0 program and molecule descriptors fo...r optimized compounds were calculated using ChemBio3D Ultra 13.0, Dragon 6.0 and ADMET predictor 6.5 software. Effective permeability of compounds was used as dependent variable (Y), while calculated molecular parametres were used as independent variables (X) in the QSPR study. SIMCA P+ 12.0 was used for Partial Least Square (PLS) analysis, while the stepwise Multiple Linear Regression (MLR) and Artificial Neural Networks (ANN) modeling were performed using STASTICA Neural Networks 4.0. Predictive potential of the formed models was confirmed by Leave-One-Out Cross- and external-validation and the most reliable models were selected. The descriptors that are important for model building are identified as well as their influence on BBB permeability. Results of the QSPR studies could be used as time and cost efficient screening tools for evaluation of BBB permeation of novel alpha-adrenergic/imidazoline receptor ligands, as promising drug candidates for treatment of hypertension or neurological diseases.
Keywords:
Imidazoline ligands / PAMPA / Blood-brain barrier permeability / QSPRSource:
European Journal of Pharmaceutical Sciences, 2015, 68, 94-105Publisher:
- Elsevier Science BV, Amsterdam
Funding / projects:
DOI: 10.1016/j.ejps.2014.12.014
ISSN: 0928-0987
PubMed: 25542610
WoS: 000349272000012
Scopus: 2-s2.0-84920773866
Collections
Institution/Community
PharmacyTY - JOUR AU - Vučićević, Jelica AU - Nikolić, Katarina AU - Dobričić, Vladimir AU - Agbaba, Danica PY - 2015 UR - https://farfar.pharmacy.bg.ac.rs/handle/123456789/2380 AB - Imidazoline receptor ligands are a numerous family of biologically active compounds known to produce central hypotensive effect by interaction with both alpha(2)-adrenoreceptors (alpha(2)-AR) and imidazoline receptors (IRs). Recent hypotheses connect those ligands with several neurological disorders. Therefore some IRs ligands are examined as novel centrally acting antihypertensives and drug candidates for treatment of various neurological diseases. Effective Blood-Brain Barrier (BBB) permeability (P-e) of 18 IRs/alpha-ARs ligands and 22 Central Nervous System (CNS) drugs was experimentally determined using Parallel Artificial Membrane Permeability Assay (PAMPA) and studied by the Quantitative-Structure-Permeability Relationship (QSPR) methodology. The dominant molecules/cations species of compounds have been calculated at pH = 7.4. The analyzed ligands were optimized using Density Functional Theory (B3LYP/6-31G(d,p)) included in ChemBio3D Ultra 13.0 program and molecule descriptors for optimized compounds were calculated using ChemBio3D Ultra 13.0, Dragon 6.0 and ADMET predictor 6.5 software. Effective permeability of compounds was used as dependent variable (Y), while calculated molecular parametres were used as independent variables (X) in the QSPR study. SIMCA P+ 12.0 was used for Partial Least Square (PLS) analysis, while the stepwise Multiple Linear Regression (MLR) and Artificial Neural Networks (ANN) modeling were performed using STASTICA Neural Networks 4.0. Predictive potential of the formed models was confirmed by Leave-One-Out Cross- and external-validation and the most reliable models were selected. The descriptors that are important for model building are identified as well as their influence on BBB permeability. Results of the QSPR studies could be used as time and cost efficient screening tools for evaluation of BBB permeation of novel alpha-adrenergic/imidazoline receptor ligands, as promising drug candidates for treatment of hypertension or neurological diseases. PB - Elsevier Science BV, Amsterdam T2 - European Journal of Pharmaceutical Sciences T1 - Prediction of blood-brain barrier permeation of alpha-adrenergic and imidazoline receptor ligands using PAMPA technique and quantitative-structure permeability relationship analysis VL - 68 SP - 94 EP - 105 DO - 10.1016/j.ejps.2014.12.014 ER -
@article{ author = "Vučićević, Jelica and Nikolić, Katarina and Dobričić, Vladimir and Agbaba, Danica", year = "2015", abstract = "Imidazoline receptor ligands are a numerous family of biologically active compounds known to produce central hypotensive effect by interaction with both alpha(2)-adrenoreceptors (alpha(2)-AR) and imidazoline receptors (IRs). Recent hypotheses connect those ligands with several neurological disorders. Therefore some IRs ligands are examined as novel centrally acting antihypertensives and drug candidates for treatment of various neurological diseases. Effective Blood-Brain Barrier (BBB) permeability (P-e) of 18 IRs/alpha-ARs ligands and 22 Central Nervous System (CNS) drugs was experimentally determined using Parallel Artificial Membrane Permeability Assay (PAMPA) and studied by the Quantitative-Structure-Permeability Relationship (QSPR) methodology. The dominant molecules/cations species of compounds have been calculated at pH = 7.4. The analyzed ligands were optimized using Density Functional Theory (B3LYP/6-31G(d,p)) included in ChemBio3D Ultra 13.0 program and molecule descriptors for optimized compounds were calculated using ChemBio3D Ultra 13.0, Dragon 6.0 and ADMET predictor 6.5 software. Effective permeability of compounds was used as dependent variable (Y), while calculated molecular parametres were used as independent variables (X) in the QSPR study. SIMCA P+ 12.0 was used for Partial Least Square (PLS) analysis, while the stepwise Multiple Linear Regression (MLR) and Artificial Neural Networks (ANN) modeling were performed using STASTICA Neural Networks 4.0. Predictive potential of the formed models was confirmed by Leave-One-Out Cross- and external-validation and the most reliable models were selected. The descriptors that are important for model building are identified as well as their influence on BBB permeability. Results of the QSPR studies could be used as time and cost efficient screening tools for evaluation of BBB permeation of novel alpha-adrenergic/imidazoline receptor ligands, as promising drug candidates for treatment of hypertension or neurological diseases.", publisher = "Elsevier Science BV, Amsterdam", journal = "European Journal of Pharmaceutical Sciences", title = "Prediction of blood-brain barrier permeation of alpha-adrenergic and imidazoline receptor ligands using PAMPA technique and quantitative-structure permeability relationship analysis", volume = "68", pages = "94-105", doi = "10.1016/j.ejps.2014.12.014" }
Vučićević, J., Nikolić, K., Dobričić, V.,& Agbaba, D.. (2015). Prediction of blood-brain barrier permeation of alpha-adrenergic and imidazoline receptor ligands using PAMPA technique and quantitative-structure permeability relationship analysis. in European Journal of Pharmaceutical Sciences Elsevier Science BV, Amsterdam., 68, 94-105. https://doi.org/10.1016/j.ejps.2014.12.014
Vučićević J, Nikolić K, Dobričić V, Agbaba D. Prediction of blood-brain barrier permeation of alpha-adrenergic and imidazoline receptor ligands using PAMPA technique and quantitative-structure permeability relationship analysis. in European Journal of Pharmaceutical Sciences. 2015;68:94-105. doi:10.1016/j.ejps.2014.12.014 .
Vučićević, Jelica, Nikolić, Katarina, Dobričić, Vladimir, Agbaba, Danica, "Prediction of blood-brain barrier permeation of alpha-adrenergic and imidazoline receptor ligands using PAMPA technique and quantitative-structure permeability relationship analysis" in European Journal of Pharmaceutical Sciences, 68 (2015):94-105, https://doi.org/10.1016/j.ejps.2014.12.014 . .