Literature DB >> 19507240

Targeting the conformational transitions of MDM2 and MDMX: insights into key residues affecting p53 recognition.

Andrea Carotti1, Antonio Macchiarulo, Nicola Giacchè, Roberto Pellicciari.   

Abstract

The oncogenic proteins MDM2 and MDMX have distinct and critical roles in the control of the activity of the p53 tumor suppressor protein. Recently, we have used spatial coarse graining simulations to analyze the conformational transitions manifest in the p53 recognition of MDM2 and MDMX. These conformational movements are different between MDM2 and MDMX and unveil the presence of conserved and nonconserved interactions in the p53 binding cleft that may be exploited in the design of selective and dual modulators of the oncogenic proteins. In this study, we investigate the conformational profiles of apo- and p53-bound states of MDM2 and MDMX using molecular dynamic simulations along a time scale of 60 ns. The analysis of the trajectories is instrumental to discuss energetical and conformational aspects of p53 recognition and to point out specific key residues whose conformational shifts have crucial roles in affecting the apo- and p53-bound states of MDM2 and MDMX. Among these, in particular, linear discriminant analyses identify diverse conformations of Y99/Y100 (MDMX/MDM2) as markers of the apo- and p53-bound states of the oncogenic proteins. The results of this study shed further light on different p53 recognition in MDM2 and MDMX and may prove useful for the design and identification of new potent and selective synthetic modulators of p53-MDM2/MDMX interactions. 2009 Wiley-Liss, Inc.

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Year:  2009        PMID: 19507240     DOI: 10.1002/prot.22464

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  5 in total

1.  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

2.  Molecular function recognition by supervised projection pursuit machine learning.

Authors:  Tyler Grear; Chris Avery; John Patterson; Donald J Jacobs
Journal:  Sci Rep       Date:  2021-02-19       Impact factor: 4.379

3.  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

Review 4.  Molecular dynamic simulation insights into the normal state and restoration of p53 function.

Authors:  Ting Fu; Hanyi Min; Yong Xu; Jianzhong Chen; Guohui Li
Journal:  Int J Mol Sci       Date:  2012-08-03       Impact factor: 6.208

5.  Modeling of arylamide helix mimetics in the p53 peptide binding site of hDM2 suggests parallel and anti-parallel conformations are both stable.

Authors:  Jonathan C Fuller; Richard M Jackson; Thomas A Edwards; Andrew J Wilson; Michael R Shirts
Journal:  PLoS One       Date:  2012-08-20       Impact factor: 3.240

  5 in total

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