| Literature DB >> 18991323 |
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.Mesh:
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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