title: ALARM NMR: a rapid and robust experimental method to detect reactive false positives in biochemical screens.
abstract: High-throughput screening (HTS) of large compound collections typically results in numerous small molecule hits that must be carefully evaluated to identify valid drug leads. Although several filtering mechanisms and other tools exist that can assist the chemist in this process, it is often the case that costly synthetic resources are expended in pursuing false positives. We report here a rapid and reliable NMR-based method for identifying reactive false positives including those that oxidize or alkylate a protein target. Importantly, the reactive species need not be the parent compound, as both reactive impurities and breakdown products can be detected. The assay is called ALARM NMR (a La assay to detect reactive molecules by nuclear magnetic resonance) and is based on monitoring DTT-dependent (13)C chemical shift changes of the human La antigen in the presence of a test compound or mixture. Extensive validation has been performed to demonstrate the reliability and utility of using ALARM NMR to assess thiol reactivity. This included comparing ALARM NMR to a glutathione-based fluorescence assay, as well as testing a collection of more than 3500 compounds containing HTS hits from 23 drug targets. The data show that current in silico filtering tools fail to identify more than half of the compounds that can act via reactive mechanisms. Significantly, we show how ALARM NMR data has been critical in identifying reactive compounds that would otherwise have been prioritized for lead optimization. In addition, a new filtering tool has been developed on the basis of the ALARM NMR data that can augment current in silico programs for identifying nuisance compounds and improving the process of hit triage.
authors.affiliation: Global Pharmaceutical Research and Development, Abbott Laboratories, Abbott Park, Illinois 60064, USA.
authors.forename: Jeffrey R
authors.initials: JR
authors.lastname: Huth
authors.forename: Renaldo
authors.initials: R
authors.lastname: Mendoza
authors.forename: Edward T
authors.initials: ET
authors.lastname: Olejniczak
authors.forename: Robert W
authors.initials: RW
authors.lastname: Johnson
authors.forename: Darlene A
authors.initials: DA
authors.lastname: Cothron
authors.forename: Yaya
authors.initials: Y
authors.lastname: Liu
authors.forename: Claude G
authors.initials: CG
authors.lastname: Lerner
authors.forename: Jun
authors.initials: J
authors.lastname: Chen
authors.forename: Philip J
authors.initials: PJ
authors.lastname: Hajduk
mesh_terms: D001324:Autoantigens; D005189:False Positive Reactions; D005978:Glutathione / Q000737:chemistry; D006801:Humans; D006863:Hydrogen-Ion Concentration; D008958:Models, Molecular; D019906:Nuclear Magnetic Resonance, Biomolecular / Q000379:methods*; D004364:Pharmaceutical Preparations / Q000032:analysis*; D012261:Ribonucleoproteins / Q000737:chemistry*; D012680:Sensitivity and Specificity; D013438:Sulfhydryl Compounds / Q000737:chemistry; D000097585:SS-B Antigen
chemical_list: D001324:Autoantigens; D005978:Glutathione; D004364:Pharmaceutical Preparations; D012261:Ribonucleoproteins; D013438:Sulfhydryl Compounds; D000097585:SS-B Antigen