Literature DB >> 19067573

Affinity classification of kinase inhibitors by mass spectrometric methods and validation using standard IC(50) measurements.

Matthias Conradin Jecklin1, David Touboul, Rishi Jain, Estee Naggar Toole, John Tallarico, Peter Drueckes, Paul Ramage, Renato Zenobi.   

Abstract

Protein kinases have emerged as a major drug target in the last years. Since more than 500 kinases are encoded in the human genome, cross-reactivity of a majority of kinase inhibitors causes problems. Tools are required for a rapid classification of inhibitors according to their affinity for a certain target to refine the search for new, more specific lead compounds. Mass spectrometry (MS) is increasingly used in pharmaceutical research and drug discovery to investigate protein-ligand interactions and determination of binding affinities. We present a comparison of different existing nanoelectrospray-MS based methods to quantify binding affinities and qualitatively rank, by competitive experiments, the affinity of several clinical inhibitors. We also present a new competitive method which is derived from our previous work for quantitative assessment of binding strengths (Wortmann et al., J. Mass Spectrom. 2008, 43(5), 600-608). The human kinases studied for this purpose were p38alpha (MAPK14) and LCK (lymphocyte specific kinase), and their interaction with 17 known small molecule kinase inhibitors was probed. Moreover, we present a new method to differentiate type I from type II inhibitors (Liu, Y.; Gray, N. S. Nat. Chem. Biol. 2006, 2(7), 358-364) based on a kinetic experiment with direct MS read-out of the noncovalent complex between the human kinase and the inhibitor. This method was successfully applied to p38alpha binding to BIRB796, as well as to a BIRB796 analogue. Quantitative determination of the binding strength is also described. The results of our competitive experiments for the affinity classification of different inhibitors, as well as the results for the kinetic study, are in good agreement with IC(50) measurements and data found in the literature.

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Year:  2009        PMID: 19067573     DOI: 10.1021/ac801782c

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  5 in total

1.  Affinity-Based Selectivity Profiling of an In-Class Selective Competitive Inhibitor of Acyl Protein Thioesterase 2.

Authors:  Sang Joon Won; Joseph D Eschweiler; Jaimeen D Majmudar; Fei San Chong; Sin Ye Hwang; Brandon T Ruotolo; Brent R Martin
Journal:  ACS Med Chem Lett       Date:  2016-12-09       Impact factor: 4.345

2.  Crystal packing modifies ligand binding affinity: the case of aldose reductase.

Authors:  Alexandra Cousido-Siah; Tatiana Petrova; Isabelle Hazemann; André Mitschler; Francesc X Ruiz; Eduardo Howard; Stephan Ginell; Cédric Atmanene; Alain Van Dorsselaer; Sarah Sanglier-Cianférani; Andrzej Joachimiak; Alberto Podjarny
Journal:  Proteins       Date:  2012-07-28

Review 3.  High-Resolution Native Mass Spectrometry.

Authors:  Sem Tamara; Maurits A den Boer; Albert J R Heck
Journal:  Chem Rev       Date:  2021-08-20       Impact factor: 72.087

4.  A quantitative proteomics-based competition binding assay to characterize pITAM-protein interactions.

Authors:  Lianghai Hu; Li Yang; Andrew M Lipchik; Robert L Geahlen; Laurie L Parker; W Andy Tao
Journal:  Anal Chem       Date:  2013-05-08       Impact factor: 6.986

5.  Quantifying protein-ligand binding constants using electrospray ionization mass spectrometry: a systematic binding affinity study of a series of hydrophobically modified trypsin inhibitors.

Authors:  Dragana Cubrilovic; Adam Biela; Frank Sielaff; Torsten Steinmetzer; Gerhard Klebe; Renato Zenobi
Journal:  J Am Soc Mass Spectrom       Date:  2012-08-07       Impact factor: 3.109

  5 in total

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