Literature DB >> 18991323

Automated compound verification using 2D-NMR HSQC data in an open-access environment.

Philip Keyes1, Gonzalo Hernandez, Giovanni Cianchetta, James Robinson, Brent Lefebvre.   

Abstract

Since the introduction of NMR prediction software, medicinal chemists have imagined submitting their compounds to corporate compound registration systems that would ultimately display a simplified pass/fail result. We initially implemented such a system based on HPLC and liquid chromatography mass spectrometry (LCMS) data that is embedded within our industry standard sample submission and registration process. By using gradient-heteronuclear single quantum coherence (HSQC) experiments, we have extended this concept to NMR data through a comparison of experimentally acquired data against predicted (1)H and (13)C NMR data. Integration of our compound registration system with our analytical instruments now provides our chemists unattended and automated NMR verification for collections of submitted compounds. The benefits achieved from automated processing and interpretation of results produced enhanced confidence in our compound library and released the chemists from the tedium of manipulating large amounts of data. This allows scientists to focus more of their attention to the drug discovery process. 2008 John Wiley & Sons, Ltd.

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Year:  2009        PMID: 18991323     DOI: 10.1002/mrc.2347

Source DB:  PubMed          Journal:  Magn Reson Chem        ISSN: 0749-1581            Impact factor:   2.447


  1 in total

1.  Multiplexed NMR: an automated CapNMR dual-sample probe.

Authors:  James A Norcross; Craig T Milling; Dean L Olson; Duanxiang Xu; Anthony Audrieth; Robert Albrecht; Ke Ruan; John Likos; Claude Jones; Timothy L Peck
Journal:  Anal Chem       Date:  2010-09-01       Impact factor: 6.986

  1 in total

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