Literature DB >> 12112275

Liquid chromatography/tandem mass spectrometric quantification with metabolite screening as a strategy to enhance the early drug discovery process.

Philip R Tiller1, Leslie A Romanyshyn.   

Abstract

Throughput for early discovery drug metabolism studies can be increased with the concomitant acquisition of metabolite screening information and quantitative analysis using ultra-fast gradient chromatographic methods. Typical ultra-fast high-performance liquid chromatography (HPLC) parameters used during early discovery pharmacokinetic (PK) studies, for example, employ full-linear gradients over 1-2 min at very high flow rates (1.5-2 mL/min) on very short HPLC columns (2 x 20 mm). These conditions increase sample throughput by reducing analytical run time without sacrificing chromatographic integrity and may be used to analyze samples generated from a variety of in vitro and in vivo studies. This approach allows acquisition of more information about a lead candidate while maintaining rapid analytical turn-around time. Some examples of this approach are discussed in further detail. Copyright 2002 John Wiley & Sons, Ltd.

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Year:  2002        PMID: 12112275     DOI: 10.1002/rcm.708

Source DB:  PubMed          Journal:  Rapid Commun Mass Spectrom        ISSN: 0951-4198            Impact factor:   2.419


  3 in total

Review 1.  Drug metabolite profiling and identification by high-resolution mass spectrometry.

Authors:  Mingshe Zhu; Haiying Zhang; W Griffith Humphreys
Journal:  J Biol Chem       Date:  2011-06-01       Impact factor: 5.157

2.  Driving efficiency in a high-throughput metabolic stability assay through a generic high-resolution accurate mass method and automated data mining.

Authors:  Wenqing Shui; Song Lin; Allen Zhang; Yan Chen; Yingying Huang; Mark Sanders
Journal:  Protein Cell       Date:  2011-09-09       Impact factor: 14.870

Review 3.  Mass spectrometry techniques in the survey of steroid metabolites as potential disease biomarkers: a review.

Authors:  Maria João Gouveia; Paul J Brindley; Lúcio Lara Santos; José Manuel Correia da Costa; Paula Gomes; Nuno Vale
Journal:  Metabolism       Date:  2013-05-07       Impact factor: 8.694

  3 in total

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