Literature DB >> 15002975

High-throughput screening assay for the tunable selection of protein ligands.

Kendall D Powell1, Michael C Fitzgerald.   

Abstract

Here, we describe a new protein-ligand binding assay that is amenable to high-throughput screening applications. The assay involves the use of SUPREX (stability of unpurified proteins from rates of H/D exchange), a new H/D exchange and mass spectrometry-based technique we recently developed for the quantitative analysis of protein-ligand binding interactions. As part of this work, we describe a new high-throughput SUPREX protocol, and we demonstrate that this protocol can be used to efficiently screen peptide ligands in a model combinatorial library for binding to a model protein system, the S-protein. The high-throughput SUPREX protocol developed here is generally applicable to a wide variety of protein ligands, including DNA, small molecules, metals, and other proteins. On the basis of the results of the model study in this work, one person with access to one MALDI mass spectrometer should be able to screen approximately 10 000 compounds per 24-h period using the protocol described here. With full automation and the use of a commercially available MALDI mass spectrometer optimized for high-throughput analyses, we estimate that the SUPREX-based assay described here could be used to screen on the order of 100 000 ligands per day.

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Year:  2004        PMID: 15002975     DOI: 10.1021/cc034051e

Source DB:  PubMed          Journal:  J Comb Chem        ISSN: 1520-4766


  11 in total

1.  Hydrogen/deuterium exchange- and protease digestion-based screening assay for protein-ligand binding detection.

Authors:  Erin D Hopper; Adrianne M C Pittman; Chandra L Tucker; Michael J Campa; Edward F Patz; Michael C Fitzgerald
Journal:  Anal Chem       Date:  2009-08-15       Impact factor: 6.986

2.  Throughput and efficiency of a mass spectrometry-based screening assay for protein-ligand binding detection.

Authors:  Erin D Hopper; Petra L Roulhac; Michael J Campa; Edward F Patz; Michael C Fitzgerald
Journal:  J Am Soc Mass Spectrom       Date:  2008-06-27       Impact factor: 3.109

3.  Discovery of novel cyclophilin A ligands using an H/D exchange- and mass spectrometry-based strategy.

Authors:  Patrick D Dearmond; Graham M West; Victor Anbalagan; Michael J Campa; Edward F Patz; Michael C Fitzgerald
Journal:  J Biomol Screen       Date:  2010-09-20

4.  A miniaturized technique for assessing protein thermodynamics and function using fast determination of quantitative cysteine reactivity.

Authors:  Daniel G Isom; Philippe R Marguet; Terrence G Oas; Homme W Hellinga
Journal:  Proteins       Date:  2011-01-05

Review 5.  Expanding the number of 'druggable' targets: non-enzymes and protein-protein interactions.

Authors:  Leah N Makley; Jason E Gestwicki
Journal:  Chem Biol Drug Des       Date:  2013-01       Impact factor: 2.817

6.  In vivo and in vitro examination of stability of primary hyperoxaluria-associated human alanine:glyoxylate aminotransferase.

Authors:  Erin D Hopper; Adrianne M C Pittman; Michael C Fitzgerald; Chandra L Tucker
Journal:  J Biol Chem       Date:  2008-09-09       Impact factor: 5.157

7.  Painting proteins with covalent labels: what's in the picture?

Authors:  Michael C Fitzgerald; Graham M West
Journal:  J Am Soc Mass Spectrom       Date:  2009-02-12       Impact factor: 3.109

8.  Steroid and protein ligand binding to cytochrome P450 46A1 as assessed by hydrogen-deuterium exchange and mass spectrometry.

Authors:  Wei-Li Liao; Nathan G Dodder; Natalia Mast; Irina A Pikuleva; Illarion V Turko
Journal:  Biochemistry       Date:  2009-05-19       Impact factor: 3.162

9.  Development of a screening assay for ligands to the estrogen receptor based on magnetic microparticles and LC-MS.

Authors:  Yongsoo Choi; Richard B van Breemen
Journal:  Comb Chem High Throughput Screen       Date:  2008-01       Impact factor: 1.339

10.  HDX-analyzer: a novel package for statistical analysis of protein structure dynamics.

Authors:  Sanmin Liu; Lantao Liu; Ugur Uzuner; Xin Zhou; Manxi Gu; Weibing Shi; Yixiang Zhang; Susie Y Dai; Joshua S Yuan
Journal:  BMC Bioinformatics       Date:  2011-02-15       Impact factor: 3.169

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