Literature DB >> 17879292

Rapid throughput screening of apparent KSP values for weakly basic drugs using 96-well format.

Jeremy Guo1, Paul A Elzinga, Michael J Hageman, James N Herron.   

Abstract

A rapid-throughput screening assay was developed to estimate the salt solubility parameter, K(SP), with a minimal quantity of drug. This assay allows for early evaluation of salt limited solubility with a large number of counter-ions and biologically promising drug leads. Drugs dissolved (typically 10 mM) in DMSO are robotically distributed to a 96-well plate. DMSO is evaporated, and drugs are equilibrated with various acids at different concentrations (typically <1 M) to yield final total drug concentrations around 2.5 mM. The plate is checked for precipitation. Filtrates from only those precipitated wells were subjected to rapid gradient HPLC analysis. An iterative procedure is employed to calculate all species concentrations based on mass and charge balance equations. The apparent K(SP) values assuming 1:1 stoichiometry are determined from counter-ion and ionized drug activities. A correlation coefficient >0.975 for eight drugs totaling 16 salts is reported. Intra-day and inter-day reproducibility was <10%. Conventional apparent K(SP) measurements were translated to 96-well format for increased throughput and minimal drug consumption (typically 10 mg) to evaluate at least eight different counter-ions. Although the current protocol estimates K(SP) from 10(-3) to 10(-7) M, the dynamic range of the assay could be expanded by adjusting drug and counter-ion concentrations.

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Year:  2008        PMID: 17879292     DOI: 10.1002/jps.21149

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


  2 in total

1.  Understanding the Differences Between Cocrystal and Salt Aqueous Solubilities.

Authors:  Katie L Cavanagh; Chinmay Maheshwari; Naír Rodríguez-Hornedo
Journal:  J Pharm Sci       Date:  2017-10-31       Impact factor: 3.534

Review 2.  Population-based mechanistic prediction of oral drug absorption.

Authors:  Masoud Jamei; David Turner; Jiansong Yang; Sibylle Neuhoff; Sebastian Polak; Amin Rostami-Hodjegan; Geoffrey Tucker
Journal:  AAPS J       Date:  2009-04-21       Impact factor: 4.009

  2 in total

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