Literature DB >> 21820342

Molecular modeling and molecular dynamics simulation studies on pyrrolopyrimidine-based α-helix mimetic as dual inhibitors of MDM2 and MDMX.

Shao-Yong Lu1, Yong-Jun Jiang, Jian-Wei Zou, Tian-Xing Wu.   

Abstract

Inhibition of the interactions between the tumor suppressor protein p53 and its negative regulators, the MDM2 and MDMX oncogenic proteins, is increasingly gaining interest in cancer therapy and drug design. In this study, we carry out molecular docking, molecular dynamics (MD) simulations, and molecular mechanics Poisson-Boltzmann and generalized Born/surface area (MM-PB/GBSA) binding free energy calculations on an active compound 3a and an inactive compound NC-1, which share a common pyrrolopyrimidine-based scaffold. MD simulations and MM-PB/GBSA calculations show that the compound NC-1 may not bind to MDM2 and MDMX, in agreement with the experimental results. Detailed MM-PB/GBSA calculations on the MDM2-3a and MDMX-3a complexes unravel that the binding free energies are similar for the two complexes. Furthermore, the van der Waals energy is the largest component of the binding free energy for both complexes, which indicates that the interactions between the compound 3a and MDM2 and MDMX are dominated by shape complementarity. In addition, the analysis of individual residue contribution and protein-ligand binding mode show that the three functional groups on R₁, R₂, and R₃ of the compound 3a can mimic the spatial orientation of the side chains of Phe19, Trp23, and Leu26 of p53, respectively. The obtained computational results suggest that the compound 3a can act as a dual inhibitor of MDM2-p53 and MDMX-p53 interactions, consistent with the experimental results.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21820342     DOI: 10.1016/j.jmgm.2011.07.003

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


  8 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
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2.  Structural basis of valmerins as dual inhibitors of GSK3β/CDK5.

Authors:  Xiaolong Li; Xiaowei Wang; Zibin Tian; Houling Zhao; Da Liang; Weisong Li; Yujin Qiu; Shaoyong Lu
Journal:  J Mol Model       Date:  2014-08-21       Impact factor: 1.810

Review 3.  Targeting the ubiquitin pathway for cancer treatment.

Authors:  Jia Liu; Shavali Shaik; Xiangpeng Dai; Qiong Wu; Xiuxia Zhou; Zhiwei Wang; Wenyi Wei
Journal:  Biochim Biophys Acta       Date:  2014-12-04

4.  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

5.  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

Review 6.  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

7.  Conformational transition pathway in the activation process of allosteric glucokinase.

Authors:  Min Huang; Shaoyong Lu; Ting Shi; Yaxue Zhao; Yingyi Chen; Xiaobai Li; Xinyi Liu; Zhimin Huang; Jian Zhang
Journal:  PLoS One       Date:  2013-02-07       Impact factor: 3.240

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

  8 in total

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