Literature DB >> 20490618

A computational analysis of the binding model of MDM2 with inhibitors.

Guodong Hu1, Dunyou Wang, Xinguo Liu, Qinggang Zhang.   

Abstract

It is a new and promising strategy for anticancer drug design to block the MDM2-p53 interaction using a non-peptide small-molecule inhibitor. We carry out molecular dynamics simulations to study the binding of a set of six non-peptide small-molecule inhibitors with the MDM2. The relative binding free energies calculated using molecular mechanics Poisson-Boltzmann surface area method produce a good correlation with experimentally determined results. The study shows that the van der Waals energies are the largest component of the binding free energy for each complex, which indicates that the affinities of these inhibitors for MDM2 are dominated by shape complementarity. The A-ligands and the B-ligands are the same except for the conformation of 2,2-dimethylbutane group. The quantum mechanics and the binding free energies calculation also show the B-ligands are the more possible conformation of ligands. Detailed binding free energies between inhibitors and individual protein residues are calculated to provide insights into the inhibitor-protein binding model through interpretation of the structural and energetic results from the simulations. The study shows that G1, G2 and G3 group mimic the Phe19, Trp23 and Leu26 residues in p53 and their interactions with MDM2, but the binding model of G4 group differs from the original design strategy to mimic Leu22 residue in p53.

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Year:  2010        PMID: 20490618      PMCID: PMC2907675          DOI: 10.1007/s10822-010-9366-0

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  37 in total

1.  Surfing the p53 network.

Authors:  B Vogelstein; D Lane; A J Levine
Journal:  Nature       Date:  2000-11-16       Impact factor: 49.962

2.  Computational study of protein specificity: the molecular basis of HIV-1 protease drug resistance.

Authors:  W Wang; P A Kollman
Journal:  Proc Natl Acad Sci U S A       Date:  2001-12-18       Impact factor: 11.205

Review 3.  Biomolecular simulations: recent developments in force fields, simulations of enzyme catalysis, protein-ligand, protein-protein, and protein-nucleic acid noncovalent interactions.

Authors:  W Wang; O Donini; C M Reyes; P A Kollman
Journal:  Annu Rev Biophys Biomol Struct       Date:  2001

4.  Accelerated Poisson-Boltzmann calculations for static and dynamic systems.

Authors:  Ray Luo; Laurent David; Michael K Gilson
Journal:  J Comput Chem       Date:  2002-10       Impact factor: 3.376

5.  A point-charge force field for molecular mechanics simulations of proteins based on condensed-phase quantum mechanical calculations.

Authors:  Yong Duan; Chun Wu; Shibasish Chowdhury; Mathew C Lee; Guoming Xiong; Wei Zhang; Rong Yang; Piotr Cieplak; Ray Luo; Taisung Lee; James Caldwell; Junmei Wang; Peter Kollman
Journal:  J Comput Chem       Date:  2003-12       Impact factor: 3.376

6.  Development and testing of a general amber force field.

Authors:  Junmei Wang; Romain M Wolf; James W Caldwell; Peter A Kollman; David A Case
Journal:  J Comput Chem       Date:  2004-07-15       Impact factor: 3.376

7.  Some insights into mechanism for binding and drug resistance of wild type and I50V V82A and I84V mutations in HIV-1 protease with GRL-98065 inhibitor from molecular dynamic simulations.

Authors:  Guo-Dong Hu; Tong Zhu; Shao-Long Zhang; Dunyou Wang; Qing-Gang Zhang
Journal:  Eur J Med Chem       Date:  2009-10-13       Impact factor: 6.514

8.  In vivo activation of the p53 pathway by small-molecule antagonists of MDM2.

Authors:  Lyubomir T Vassilev; Binh T Vu; Bradford Graves; Daisy Carvajal; Frank Podlaski; Zoran Filipovic; Norman Kong; Ursula Kammlott; Christine Lukacs; Christian Klein; Nader Fotouhi; Emily A Liu
Journal:  Science       Date:  2004-01-02       Impact factor: 47.728

9.  Design, synthesis, and evaluation of novel boronic-chalcone derivatives as antitumor agents.

Authors:  Srinivas K Kumar; Erin Hager; Catherine Pettit; Hallur Gurulingappa; Nancy E Davidson; Saeed R Khan
Journal:  J Med Chem       Date:  2003-07-03       Impact factor: 7.446

Review 10.  Inhibiting the p53-MDM2 interaction: an important target for cancer therapy.

Authors:  Patrick Chène
Journal:  Nat Rev Cancer       Date:  2003-02       Impact factor: 60.716

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  13 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.  A study of the interaction between HIV-1 protease and C 2-symmetric inhibitors by computational methods.

Authors:  Shuhua Shi; Guodong Hu; Xiumei Zhang; Jihua Wang
Journal:  J Mol Model       Date:  2014-07-15       Impact factor: 1.810

3.  Insights into scFv:drug binding using the molecular dynamics simulation and free energy calculation.

Authors:  Guodong Hu; Qinggang Zhang; L Y Chen
Journal:  J Mol Model       Date:  2010-11-26       Impact factor: 1.810

4.  The conformational feasibility for the formation of reaching dimer in ASV and HIV integrase: a molecular dynamics study.

Authors:  Sangeetha Balasubramanian; Muthukumaran Rajagopalan; Ravi Shankar Bojja; Anna Marie Skalka; Mark D Andrake; Amutha Ramaswamy
Journal:  J Biomol Struct Dyn       Date:  2016-11-28

5.  Performance of a docking/molecular dynamics protocol for virtual screening of nutlin-class inhibitors of Mdmx.

Authors:  Nagakumar Bharatham; Kristin E Finch; Jaeki Min; Anand Mayasundari; Michael A Dyer; R Kiplin Guy; Donald Bashford
Journal:  J Mol Graph Model       Date:  2017-02-24       Impact factor: 2.518

6.  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

7.  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 8.  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

9.  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

10.  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

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