The Quantitative Structure-Retention Relationship (QSRR) analysis of some centrally acting antihypertensives and diuretics

被引:7
|
作者
Filipic, Slavica [1 ]
Nikolic, Katarina [1 ]
Krizman, Mitja [2 ]
Agbaba, Danica [1 ]
机构
[1] Univ Belgrade, Fac Pharm, Inst Pharmaceut Chem & Drug Anal, Belgrade 11000, Serbia
[2] Natl Inst Chem, Food Chem Lab, SI-1000 Ljubljana, Slovenia
来源
QSAR & COMBINATORIAL SCIENCE | 2008年 / 27卷 / 08期
关键词
D O I
10.1002/qsar.200710161
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
The complete separation of 15 guanidine/imidazoline derivatives, acting as antihypertensive drugs, was achieved by capillary electrophoresis employing 30 mM phosphate background electrolyte (pH 1.5) containing 15 mM P-Cyclodextrin (BCD). Here the Quantitative Structure-Retention Relationship (QSRR) models of the inclusion complexes between the analyzed compounds (ligands) and BCD were performed to investigate the correlations between electrophoresis migration order and the constitutional, geometrical, physico-chemical, and electronical properties of the molecular models. The ChemPro, Marvin 4.0.5 ChemAxon, and CS Gaussian 98 [B3LYP/6 - 3 1 G + (d,p) and HF/3-21G(d) basis sets] programs were applied for molecular parameters computation of the optimized ligands and ligand-BCD complexes. Total charge of the analyzed compounds at experimental pH 1.5., HOMO (BCD-ligand) energy, and Solvent-Accessible Surface (SAS) (BCD - ligand) area account for the electrophoresis retention parameter log(t). The multiple linear regression models with three variables, log(t)=f [Total Charge (ligand), SAS (BCD - ligand), HOMO (BCD - ligand)], were obtained with R-2=0.914 and crossvalidation parameter of prediction q(pre)(2)=0.778. The developed QSRR approach can help in understanding the structural features that contribute to the electrophoresis retention parameter [log(t)] of the investigated antihypertensives. Therefore, the theoretical method presented could be used as a fast, easy, and reliable tool for electrophoretic migration parameters prediction of other related antihypertensives.
引用
收藏
页码:1036 / 1044
页数:9
相关论文
共 50 条
  • [1] Quantitative Structure-Retention Relationship (QSRR) study for predicting gas chromatographic retention times for some stationary phases
    Beteringhe, Adrian
    Radutiu, Ana C.
    Culita, Daniela C.
    Mischie, Alice
    Spafiu, Florica
    QSAR & COMBINATORIAL SCIENCE, 2008, 27 (08): : 996 - 1005
  • [2] A quantitative structure-retention relationship (QSRR) model to aid plant metabolomic studies
    Oliveira, T. B.
    Da Costa, F. B.
    Schmidt, T. J.
    PLANTA MEDICA, 2014, 80 (16) : 1384 - 1384
  • [3] Quantitative Structure-Retention Relationship (QSRR) Models for Predicting the GC Retention Times of Essential Oil Components
    Pourbasheer, E.
    Riahi, S.
    Ganjali, M. R.
    Norouzi, P.
    ACTA CHROMATOGRAPHICA, 2010, 22 (03) : 357 - 373
  • [4] Quantitative Structure-Retention Relationship Analysis of Some Xylofuranose Derivatives by Linear Multivariate Method
    Kovacevic, Strahinja Z.
    Jevric, Lidija R.
    Kuzmanovic, Sanja O. Podunavac
    Kalajdzija, Natasa D.
    Loncar, Eva S.
    ACTA CHIMICA SLOVENICA, 2013, 60 (02) : 420 - 428
  • [5] Quantitative Structure-Retention Relationship Prediction of Kovats Retention Index of Some Organic Acids
    Fatemi, M. H.
    Elyasi, M.
    ACTA CHROMATOGRAPHICA, 2013, 25 (03) : 411 - 422
  • [6] Prediction of protein affinity in cation-exchange chromatography using quantitative structure-retention relationship (QSRR) models
    Ladiwala, A
    Rege, KR
    Breneman, CM
    Cramer, SM
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2003, 225 : U782 - U782
  • [7] Study of quantitative structure-retention relationship (QSRR) of gas chromatography for polychlorinated dibenzothiophenes on non-polar columns
    Chen, Shu-Da
    Liu, Hong-Xia
    Wang, Zun-Yao
    QSAR & COMBINATORIAL SCIENCE, 2007, 26 (08): : 889 - 896
  • [8] Prediction of protein affinity in hydrophobic interaction chromatography using quantitative structure-retention relationship (QSRR) models.
    Ladiwala, A
    Luo, Q
    Chen, J
    Xia, F
    Zhuang, DC
    Breneman, CM
    Cramer, SM
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2004, 227 : U1020 - U1020
  • [9] Application of Quantitative Structure-Retention Relationships (QSRR) to a set of organic bromo and nitrile derivatives
    Romanelli, GP
    Autino, JC
    Castro, EA
    TURKISH JOURNAL OF CHEMISTRY, 2002, 26 (03) : 335 - 343
  • [10] Quantitative Structure-Retention Relationship Study of Some Phenol Derivatives in Gas Chromatography
    Garkani-Nejad, Zahra
    JOURNAL OF CHROMATOGRAPHIC SCIENCE, 2010, 48 (04) : 317 - 323