Literature DB >> 18512284

Proteomics-based strategies in kinase drug discovery.

M Bantscheff1, C Hopf, U Kruse, G Drewes.   

Abstract

Studies of drug action classically assess biochemical activity in settings which typically contain the isolated target only. Recent technical advances in mass spectrometry-based analysis of proteins have enabled the quantitative analysis of sub-proteomes and entire proteomes, thus initiating a departure from the traditional single gene--single protein--single target paradigm. Here, we review chemical proteomics-based experimental strategies in kinase drug discovery to analyse quantitatively the interaction of small molecule compounds or drugs with a defined sub-proteome containing hundreds of protein kinases and related proteins. One novel approach is based on 'Kinobeads'--an affinity resin comprised of a cocktail of immobilized broad spectrum kinase inhibitors--to monitor quantitatively the differential binding of kinases and related nucleotide-binding proteins in the presence and absence of varying concentrations of a lead compound or drug of interest. Differential binding is detected by high throughput and sensitive mass spectroscopy techniques utilizing isobaric tagging reagents (iTRAQ), yielding quantitative and detailed target binding profiles. The method can be applied to the screening of compound libraries and to selectivity profiling of lead compounds directly against their endogenously expressed targets in a range of cell types and tissue lysates. In addition, the method can be used to map drug-induced changes in the phosphorylation state of the captured sub-proteome, enabling the analysis of signalling pathways downstream of target kinases.

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Year:  2007        PMID: 18512284     DOI: 10.1007/2789_2007_060

Source DB:  PubMed          Journal:  Ernst Schering Found Symp Proc


  8 in total

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2.  A High-Efficiency Cellular Extraction System for Biological Proteomics.

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Journal:  J Proteome Res       Date:  2015-07-14       Impact factor: 4.466

3.  Quantitative chemical proteomics reveals new potential drug targets in head and neck cancer.

Authors:  Zhixiang Wu; Jessica B Doondeea; Amin Moghaddas Gholami; Melanie C Janning; Simone Lemeer; Karl Kramer; Suzanne A Eccles; Susanne M Gollin; Reidar Grenman; Axel Walch; Stephan M Feller; Bernhard Kuster
Journal:  Mol Cell Proteomics       Date:  2011-09-28       Impact factor: 5.911

4.  Application of multiplexed kinase inhibitor beads to study kinome adaptations in drug-resistant leukemia.

Authors:  Matthew J Cooper; Nathan J Cox; Eric I Zimmerman; Brian J Dewar; James S Duncan; Martin C Whittle; Thien A Nguyen; Lauren S Jones; Sreerupa Ghose Roy; David M Smalley; Pei Fen Kuan; Kristy L Richards; Richard I Christopherson; Jian Jin; Stephen V Frye; Gary L Johnson; Albert S Baldwin; Lee M Graves
Journal:  PLoS One       Date:  2013-06-24       Impact factor: 3.240

5.  Improvement of capture compound mass spectrometry technology (CCMS) for the profiling of human kinases by combination with 2D LC-MS/MS.

Authors:  Jenny J Fischer; Olivia Graebner; Mathias Dreger; Mirko Glinski; Sabine Baumgart; Hubert Koester
Journal:  J Biomed Biotechnol       Date:  2011-09-19

6.  The cAMP capture compound mass spectrometry as a novel tool for targeting cAMP-binding proteins: from protein kinase A to potassium/sodium hyperpolarization-activated cyclic nucleotide-gated channels.

Authors:  Yan Luo; Christian Blex; Olivia Baessler; Mirko Glinski; Mathias Dreger; Michael Sefkow; Hubert Köster
Journal:  Mol Cell Proteomics       Date:  2009-09-09       Impact factor: 5.911

7.  Functional classification of cellular proteome profiles support the identification of drug resistance signatures in melanoma cells.

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Journal:  J Proteome Res       Date:  2013-06-19       Impact factor: 4.466

8.  Application of Integrated Drug Screening/Kinome Analysis to Identify Inhibitors of Gemcitabine-Resistant Pancreatic Cancer Cell Growth.

Authors:  Linas J Krulikas; Ian M McDonald; Benjamin Lee; Denis O Okumu; Michael P East; Thomas S K Gilbert; Laura E Herring; Brian T Golitz; Carrow I Wells; Allison D Axtman; William J Zuercher; Timothy M Willson; Dmitri Kireev; Jen Jen Yeh; Gary L Johnson; Antonio T Baines; Lee M Graves
Journal:  SLAS Discov       Date:  2018-05-09       Impact factor: 3.341

  8 in total

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