Literature DB >> 10353225

Development of an automated mass spectrometry system for the quantitative analysis of liver microsomal incubation samples: a tool for rapid screening of new compounds for metabolic stability.

W A Korfmacher1, C A Palmer, C Nardo, K Dunn-Meynell, D Grotz, K Cox, C C Lin, C Elicone, C Liu, E Duchoslav.   

Abstract

There is a continuing need for increased throughput in the evaluation of new drug entities in terms of their pharmacokinetic parameters. One useful parameter that can be measured in vitro using liver microsomal preparations is metabolic stability. In this report, we describe an automated system that can be used for unattended quantitative analysis of liver microsomal samples for a series of compounds. This system is based on the Sciex API 150 (single quadrupole) liquid chromatography/mass spectrometry system and utilizes 96-well plate autosampler technology as well as a custom-designed AppleScript which executes the on-line data processing and report generation. It has the capability of analyzing at least 75 compounds per week or 300 compounds per month in an automated fashion.

Mesh:

Year:  1999        PMID: 10353225     DOI: 10.1002/(SICI)1097-0231(19990530)13:10<901::AID-RCM583>3.0.CO;2-5

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


  3 in total

1.  Application of parallel liquid chromatography/mass spectrometry for high throughput microsomal stability screening of compound libraries.

Authors:  Rongda Xu; Csaba Nemes; Kelly M Jenkins; Robyn A Rourick; Daniel B Kassel; Charles Z C Liu
Journal:  J Am Soc Mass Spectrom       Date:  2002-02       Impact factor: 3.109

Review 2.  Mass spectrometry innovations in drug discovery and development.

Authors:  D I Papac; Z Shahrokh
Journal:  Pharm Res       Date:  2001-02       Impact factor: 4.200

3.  An Automated High-Throughput Metabolic Stability Assay Using an Integrated High-Resolution Accurate Mass Method and Automated Data Analysis Software.

Authors:  Pranav Shah; Edward Kerns; Dac-Trung Nguyen; R Scott Obach; Amy Q Wang; Alexey Zakharov; John McKew; Anton Simeonov; Cornelis E C A Hop; Xin Xu
Journal:  Drug Metab Dispos       Date:  2016-07-14       Impact factor: 3.922

  3 in total

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