Literature DB >> 1663505

Chromatographic data for pharmacological classification of imidazol(in)e drugs.

R Gami-Yilinkou1, R Kaliszan.   

Abstract

A set of eighteen imidazol(in)e derivative drugs of various pharmacological activity were analysed under different high-performance liquid chromatographic (HPLC) conditions. Capacity factors were determined employing methanol-buffer eluents at seven volume ratios and at pH 10.9, 7.0 and 2.9. The use of an alkaline buffer was possible owing to the application of poly(butadiene)-coated alumina (PBCA) as the stationary phase. Two systems employing octadecylsilica (ODS) columns were applied, one operated at pH 7.0 and the other at pH 2.9. Capacity factors of the test solute drugs were determined in 21 chromatographic systems. All the data were subjected to chemometric analysis despite the fact that, except for the PBCA systems, only a limited range of linearity of the logarithm of capacity factor versus volume fraction of methanol in mobile phase was observed. The matrix of 21 x 18 capacity factors was statistically analysed by the principal component method. The first two principal components accounted for 80% of the variance in the capacity factors studied. The principal component object scores clearly separated the agents into groups in accordance with their pharmacological classification. It was concluded that diverse retention data can provide more information relevant to the bioactivity of solutes than just a one-dimensional hydrophobicity scale.

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Year:  1991        PMID: 1663505     DOI: 10.1016/s0021-9673(01)88563-0

Source DB:  PubMed          Journal:  J Chromatogr


  2 in total

1.  Evaluation of molecular descriptors and HPLC retention data of analgesic and anti-inflammatory drugs by factor analysis in relation to their pharmacological activity.

Authors:  Marcin Koba; Jolanta Stasiak; Leszek Bober; Tomasz Baczek
Journal:  J Mol Model       Date:  2010-02-01       Impact factor: 1.810

2.  Factor analysis of microbiological activity data and structural parameters of antibacterial quinolones.

Authors:  Marcin Koba; Tomasz Baczek; Katarzyna Macur; Leszek Bober; Teresa Frackowiak; Adam Buciński; Danuta Rystok-Grabska; Jolanta Stasiak; Katarzyna Koba
Journal:  J Mol Model       Date:  2009-07-15       Impact factor: 1.810

  2 in total

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