Literature DB >> 17209545

Functional interrogation of the kinome using nucleotide acyl phosphates.

Matthew P Patricelli1, A Katrin Szardenings, Marek Liyanage, Tyzoon K Nomanbhoy, Min Wu, Helge Weissig, Arwin Aban, Doris Chun, Stephen Tanner, John W Kozarich.   

Abstract

The central role of protein kinases in signal transduction pathways has generated intense interest in targeting these enzymes for a wide range of therapeutic indications. Here we report a method for identifying and quantifying protein kinases in any biological sample or tissue from any species. The procedure relies on acyl phosphate-containing nucleotides, prepared from a biotin derivative and ATP or ADP. The acyl phosphate probes react selectively and covalently at the ATP binding sites of at least 75% of the known human protein kinases. Biotinylated peptide fragments from labeled proteomes are captured and then sequenced and identified using a mass spectrometry-based analysis platform to determine the kinases present and their relative levels. Further, direct competition between the probes and inhibitors can be assessed to determine inhibitor potency and selectivity against native protein kinases, as well as hundreds of other ATPases. The ability to broadly profile kinase activities in native proteomes offers an exciting prospect for both target discovery and inhibitor selectivity profiling.

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Year:  2007        PMID: 17209545     DOI: 10.1021/bi062142x

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  161 in total

1.  A Chemoproteomic Strategy for Direct and Proteome-Wide Covalent Inhibitor Target-Site Identification.

Authors:  Christopher M Browne; Baishan Jiang; Scott B Ficarro; Zainab M Doctor; Jared L Johnson; Joseph D Card; Sindhu Carmen Sivakumaren; William M Alexander; Tomer M Yaron; Charles J Murphy; Nicholas P Kwiatkowski; Tinghu Zhang; Lewis C Cantley; Nathanael S Gray; Jarrod A Marto
Journal:  J Am Chem Soc       Date:  2018-12-20       Impact factor: 15.419

2.  An activity-based imaging probe for the integral membrane hydrolase KIAA1363.

Authors:  Jae Won Chang; Raymond E Moellering; Benjamin F Cravatt
Journal:  Angew Chem Int Ed Engl       Date:  2011-12-07       Impact factor: 15.336

3.  Comprehensive analysis of kinase inhibitor selectivity.

Authors:  Mindy I Davis; Jeremy P Hunt; Sanna Herrgard; Pietro Ciceri; Lisa M Wodicka; Gabriel Pallares; Michael Hocker; Daniel K Treiber; Patrick P Zarrinkar
Journal:  Nat Biotechnol       Date:  2011-10-30       Impact factor: 54.908

Review 4.  The pharmacological landscape and therapeutic potential of serine hydrolases.

Authors:  Daniel A Bachovchin; Benjamin F Cravatt
Journal:  Nat Rev Drug Discov       Date:  2012-01-03       Impact factor: 84.694

5.  Strategies for discovering and derisking covalent, irreversible enzyme inhibitors.

Authors:  Douglas S Johnson; Eranthie Weerapana; Benjamin F Cravatt
Journal:  Future Med Chem       Date:  2010-06       Impact factor: 3.808

6.  Chemical Proteomic Profiling of Lysophosphatidic Acid-Binding Proteins.

Authors:  Xuejiao Dong; Linfeng Gao; Jikui Song; Yinsheng Wang
Journal:  Anal Chem       Date:  2019-11-27       Impact factor: 6.986

7.  A Photo-clickable ATP-Mimetic Reveals Nucleotide Interactors in the Membrane Proteome.

Authors:  Mark Jelcic; Ke Wang; King Lam Hui; Xiao-Chuan Cai; Balázs Enyedi; Minkui Luo; Philipp Niethammer
Journal:  Cell Chem Biol       Date:  2020-06-09       Impact factor: 8.116

8.  How chemoproteomics can enable drug discovery and development.

Authors:  Raymond E Moellering; Benjamin F Cravatt
Journal:  Chem Biol       Date:  2012-01-27

9.  The Ligand Binding Landscape of Diacylglycerol Kinases.

Authors:  Caroline E Franks; Sean T Campbell; Benjamin W Purow; Thurl E Harris; Ku-Lung Hsu
Journal:  Cell Chem Biol       Date:  2017-07-14       Impact factor: 8.116

10.  Application of activity-based protein profiling to study enzyme function in adipocytes.

Authors:  Andrea Galmozzi; Eduardo Dominguez; Benjamin F Cravatt; Enrique Saez
Journal:  Methods Enzymol       Date:  2014       Impact factor: 1.600

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