Literature DB >> 21764342

Insight into mechanism of small molecule inhibitors of the MDM2-p53 interaction: molecular dynamics simulation and free energy analysis.

Jianzhong Chen1, Jinan Wang, Beisi Xu, Weiliang Zhu, Guohui Li.   

Abstract

Inhibition of the MDM2-p53 interaction is considered to be a new therapeutic strategy to activate wild-type p53 in tumors. Molecular dynamics (MD) simulations followed by molecular mechanics generalized Born surface area (MM-GBSA) analyses were used to study the inhibitory mechanisms of four small molecule inhibitors, K23, YIN, DIZ and IMZ on the p53-MDM2 interaction. We found excellent agreement between the rank of the calculated absolute binding free energies using the MM-GBSA method and the experimentally determined rank. The results show that van der Waals energy is the dominant factor for the binding of the four inhibitors. Statistical analyses of the hydrophobic contacts between the inhibitors and MDM2 were performed, and the results suggested that these inhibitors form stable hydrophobic interactions with six residues of MDM2: Leu54, Gly58, Ile61, Met62, Val93 and His96. Calculations of the detailed van der Waals interactions between non-peptide inhibitors and individual protein residues can provide insights into the inhibitor-protein binding mechanism. Our studies suggest that the CH-π and π-π interactions between the four inhibitors and protein residues drive binding of the inhibitors in the hydrophobic cleft of MDM2.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21764342     DOI: 10.1016/j.jmgm.2011.06.003

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  11 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.  Integrated virtual screening and molecular dynamics simulation revealed promising drug candidates of p53-MDM2 interaction.

Authors:  Abdul-Quddus Kehinde Oyedele; Temitope Isaac Adelusi; Abdeen Tunde Ogunlana; Rofiat Oluwabusola Adeyemi; Opeyemi Emmanuel Atanda; Musa Oladayo Babalola; Mojeed Ayoola Ashiru; Isong Josiah Ayoola; Ibrahim Damilare Boyenle
Journal:  J Mol Model       Date:  2022-05-10       Impact factor: 1.810

3.  Computational studies of difference in binding modes of peptide and non-peptide inhibitors to MDM2/MDMX based on molecular dynamics simulations.

Authors:  Jianzhong Chen; Dinglin Zhang; Yuxin Zhang; Guohui Li
Journal:  Int J Mol Sci       Date:  2012-02-17       Impact factor: 6.208

4.  Simulating molecular mechanisms of the MDM2-mediated regulatory interactions: a conformational selection model of the MDM2 lid dynamics.

Authors:  Gennady M Verkhivker
Journal:  PLoS One       Date:  2012-07-16       Impact factor: 3.240

5.  Investigating the impact of Asp181 point mutations on interactions between PTP1B and phosphotyrosine substrate.

Authors:  Mengyuan Liu; Lushan Wang; Xun Sun; Xian Zhao
Journal:  Sci Rep       Date:  2014-05-28       Impact factor: 4.379

6.  Probing Difference in Binding Modes of Inhibitors to MDMX by Molecular Dynamics Simulations and Different Free Energy Methods.

Authors:  Shuhua Shi; Shaolong Zhang; Qinggang Zhang
Journal:  PLoS One       Date:  2015-10-29       Impact factor: 3.240

Review 7.  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

8.  Probing Origin of Binding Difference of inhibitors to MDM2 and MDMX by Polarizable Molecular Dynamics Simulation and QM/MM-GBSA Calculation.

Authors:  Jianzhong Chen; Jinan Wang; Qinggang Zhang; Kaixian Chen; Weiliang Zhu
Journal:  Sci Rep       Date:  2015-11-30       Impact factor: 4.379

9.  Binding modes of three inhibitors 8CA, F8A and I4A to A-FABP studied based on molecular dynamics simulation.

Authors:  Jianzhong Chen; Jinan Wang; Weiliang Zhu
Journal:  PLoS One       Date:  2014-06-11       Impact factor: 3.240

10.  Energetic Landscape of MDM2-p53 Interactions by Computational Mutagenesis of the MDM2-p53 Interaction.

Authors:  Kelly M Thayer; George A Beyer
Journal:  PLoS One       Date:  2016-03-18       Impact factor: 3.240

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