Literature DB >> 20190571

Differential binding of p53 and nutlin to MDM2 and MDMX: computational studies.

Thomas Leonard Joseph1, Arumugam Madhumalar, Christopher J Brown, David P Lane, Chandra S Verma.   

Abstract

Half of human tumours have mutated p53 while in the other half, defective signalling pathways block its function. One such defect is the overexpression of the MDM2 and MDMX proteins. This has led to an intense effort to develop inhibitors of p53-MDM2/MDMX interactions. Nutlin is the first such compound described to block p53-MDM2 interactions. Molecular dynamics simulations have been used to explore the differences in binding of p53 and nutlin to MDM2/MDMX. Simulations reveal that p53 has a higher affinity for MDM2 than MDMX, driven by stronger electrostatic interactions. p53 is displaced from MDM2 by nutlin because it is more flexible, thus paying a larger entropic penalty upon sequestration by MDM2. The inherent plasticity of MDM2 is higher than that of MDMX, enabling it to bind both p53 and nutlin. The less flexible MDMX interacts with the more mobile p53 because the peptide can adapt conformationally to dock into MDMX, albeit with a reduced affinity; nutlin, however is rigid and hence can only interact with MDMX with low affinity. Evolutionarily, the higher affinity of MDM2 for p53 may enable MDM2 to bind p53 for longer periods as it shuttles it out of the nucleus; in contrast, MDMX only needs to mask the p53 TA domain. This study enables us to hypothesize gain of function mutations or those that have decreased affinity for nutlin. These conclusions provide insight into future drug design for dual inhibitors of MDM2 and MDMX, both of which are oncoproteins found overexpressed in many cancers.

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Year:  2010        PMID: 20190571     DOI: 10.4161/cc.9.6.11067

Source DB:  PubMed          Journal:  Cell Cycle        ISSN: 1551-4005            Impact factor:   4.534


  42 in total

1.  A computational analysis of binding modes and conformation changes of MDM2 induced by p53 and inhibitor bindings.

Authors:  Jianzhong Chen; Jinan Wang; Weiliang Zhu; Guohui Li
Journal:  J Comput Aided Mol Des       Date:  2013-11-22       Impact factor: 3.686

2.  Application of binding free energy calculations to prediction of binding modes and affinities of MDM2 and MDMX inhibitors.

Authors:  Hui Sun Lee; Sunhwan Jo; Hyun-Suk Lim; Wonpil Im
Journal:  J Chem Inf Model       Date:  2012-07-06       Impact factor: 4.956

3.  Ligand binding mode prediction by docking: mdm2/mdmx inhibitors as a case study.

Authors:  Nagakumar Bharatham; Kavitha Bharatham; Anang A Shelat; Donald Bashford
Journal:  J Chem Inf Model       Date:  2014-01-21       Impact factor: 4.956

Review 4.  The structure-based design of Mdm2/Mdmx-p53 inhibitors gets serious.

Authors:  Grzegorz M Popowicz; Alexander Dömling; Tad A Holak
Journal:  Angew Chem Int Ed Engl       Date:  2011-02-21       Impact factor: 15.336

Review 5.  The role of ubiquitination in tumorigenesis and targeted drug discovery.

Authors:  Lu Deng; Tong Meng; Lei Chen; Wenyi Wei; Ping Wang
Journal:  Signal Transduct Target Ther       Date:  2020-02-29

6.  MDMX under stress: the MDMX-MDM2 complex as stress signals hub.

Authors:  Anna de Polo; Varunika Vivekanandan; John B Little; Zhi-Min Yuan
Journal:  Transl Cancer Res       Date:  2016-12       Impact factor: 1.241

Review 7.  The Potential of Targeting P53 and HSP90 Overcoming Acquired MAPKi-Resistant Melanoma.

Authors:  Chi-Che Hsieh; Che-Hung Shen
Journal:  Curr Treat Options Oncol       Date:  2019-02-18

8.  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

9.  MDM2 and MDMX: Alone and together in regulation of p53.

Authors:  Miriam Shadfan; Vanessa Lopez-Pajares; Zhi-Min Yuan
Journal:  Transl Cancer Res       Date:  2012-08       Impact factor: 1.241

Review 10.  Targeting ubiquitination for cancer therapies.

Authors:  John Kenneth Morrow; Hui-Kuan Lin; Shao-Cong Sun; Shuxing Zhang
Journal:  Future Med Chem       Date:  2015-12-02       Impact factor: 3.808

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