Literature DB >> 18435534

Quantitative lid dynamics of MDM2 reveals differential ligand binding modes of the p53-binding cleft.

Scott A Showalter1, Lei Bruschweiler-Li, Eric Johnson, Fengli Zhang, Rafael Brüschweiler.   

Abstract

The oncoprotein MDM2 regulates the activity and stability of the tumor suppressor p53 through protein-protein interaction involving their N-terminal domains. The N-terminal lid of MDM2 has been implicated in p53 regulation; however, due to its flexible nature, limited data are available concerning its role in ligand binding. The quantitative dynamics study using NMR reported here shows, for the first time, that the lid in apo-MDM2 slowly interconverts between a "closed" state that is associated with the p53-binding cleft and an "open" state that is highly flexible. Our results reveal that apo-MDM2 predominantly populates the closed state, whereas the p53-bound MDM2 exclusively populates the open state. Unlike p53 binding, the small molecule MDM2 antagonist nutlin-3 binds to the cleft essentially without perturbing the closed lid state. The lid dynamics thereby represents a signature for the experimental and virtual screening of therapeutic antagonists that target the p53-MDM2 interaction.

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Year:  2008        PMID: 18435534     DOI: 10.1021/ja800201j

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


  38 in total

1.  Hitting on the move: Targeting intrinsically disordered protein states of the MDM2-p53 interaction.

Authors:  Constantinos G Neochoritis; Jack Atmaj; Aleksandra Twarda-Clapa; Ewa Surmiak; Lukasz Skalniak; Lisa-Maria Köhler; Damian Muszak; Katarzyna Kurpiewska; Justyna Kalinowska-Tłuścik; Barbara Beck; Tad A Holak; Alexander Dömling
Journal:  Eur J Med Chem       Date:  2019-08-06       Impact factor: 6.514

2.  Transient protein states in designing inhibitors of the MDM2-p53 interaction.

Authors:  Michal Bista; Siglinde Wolf; Kareem Khoury; Kaja Kowalska; Yijun Huang; Ewa Wrona; Marcelino Arciniega; Grzegorz M Popowicz; Tad A Holak; Alexander Dömling
Journal:  Structure       Date:  2013-10-24       Impact factor: 5.006

3.  Regulation of the E3 ubiquitin ligase activity of MDM2 by an N-terminal pseudo-substrate motif.

Authors:  Erin G Worrall; Bartosz Wawrzynow; Liam Worrall; Malcolm Walkinshaw; Kathryn L Ball; Ted R Hupp
Journal:  J Chem Biol       Date:  2009-05-16

4.  Interrogation of MDM2 phosphorylation in p53 activation using native chemical ligation: the functional role of Ser17 phosphorylation in MDM2 reexamined.

Authors:  Changyou Zhan; Kristen Varney; Weirong Yuan; Le Zhao; Wuyuan Lu
Journal:  J Am Chem Soc       Date:  2012-04-04       Impact factor: 15.419

5.  Competitive binding between dynamic p53 transactivation subdomains to human MDM2 protein: implications for regulating the p53·MDM2/MDMX interaction.

Authors:  Bing Shan; Da-Wei Li; Lei Brüschweiler-Li; Rafael Brüschweiler
Journal:  J Biol Chem       Date:  2012-07-17       Impact factor: 5.157

6.  On the interaction mechanisms of a p53 peptide and nutlin with the MDM2 and MDMX proteins: a Brownian dynamics study.

Authors:  Karim M ElSawy; Chandra S Verma; Thomas L Joseph; David P Lane; Reidun Twarock; Leo S D Caves
Journal:  Cell Cycle       Date:  2013-01-16       Impact factor: 4.534

Review 7.  Targeting Mdm2 and Mdmx in cancer therapy: better living through medicinal chemistry?

Authors:  Mark Wade; Geoffrey M Wahl
Journal:  Mol Cancer Res       Date:  2009-01       Impact factor: 5.852

8.  Trapping moving targets with small molecules.

Authors:  Gregory M Lee; Charles S Craik
Journal:  Science       Date:  2009-04-10       Impact factor: 47.728

9.  Accurate sampling of high-frequency motions in proteins by steady-state (15)N-{(1)H} nuclear Overhauser effect measurements in the presence of cross-correlated relaxation.

Authors:  Fabien Ferrage; David Cowburn; Ranajeet Ghose
Journal:  J Am Chem Soc       Date:  2009-05-06       Impact factor: 15.419

10.  Modulation of p53 binding to MDM2: computational studies reveal important roles of Tyr100.

Authors:  Shubhra Ghosh Dastidar; David P Lane; Chandra S Verma
Journal:  BMC Bioinformatics       Date:  2009-12-03       Impact factor: 3.169

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