Literature DB >> 12379915

Predicting solubility in multiple nonpolar drugs-cyclodextrin system.

Luwei Zhao1, Edward Orton, N Murti Vemuri.   

Abstract

This study presents a model to predict the solubility of a nonpolar drug D(A) in the presence of other nonpolar drugs D(1) em leader D(n) in a complexing ligand L system such as hydroxypropyl-beta-cyclodextrin (HPbetaCD). Using an equilibrium approach, the model describes the molecular interactions among these drug species and the ligand. The model indicates that the solubility of D(A) invariably decreases as a result of the presence of D(1) em leader D(n). Furthermore, the decrease in D(A) solubility is related to the sum of the products of the intrinsic solubilities of the other drugs and drug-ligand complexation constants. To test the model, three steroids (prednisolone, 17alpha-hydroxyprogesterone, and progesterone) were used as model compounds in HPbetaCD solutions. The experimental data showed that the solubility of any particular drug decreased in the presence of other drugs. At all tested HPbetaCD concentrations, these experimental solubility data were in good agreement with the predicted solubility data. This result lends strong support to the reliability and effectiveness of the proposed model. Copyright 2002 Wiley-Liss, Inc. and the American Pharmaceutical Association J Pharm Sci 91:2301-2306, 2002

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Year:  2002        PMID: 12379915     DOI: 10.1002/jps.10210

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  2 in total

1.  Modeling of corneal and retinal pharmacokinetics after periocular drug administration.

Authors:  Aniruddha C Amrite; Henry F Edelhauser; Uday B Kompella
Journal:  Invest Ophthalmol Vis Sci       Date:  2008-01       Impact factor: 4.799

2.  Predicting complexation thermodynamic parameters of β-cyclodextrin with chiral guests by using swarm intelligence and support vector machines.

Authors:  Chakguy Prakasvudhisarn; Peter Wolschann; Luckhana Lawtrakul
Journal:  Int J Mol Sci       Date:  2009-05-14       Impact factor: 6.208

  2 in total

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