Revealing binding selectivity of ligands toward murine double minute 2 and murine double minute X based on molecular dynamics simulations and binding free energy calculations

被引:5
|
作者
Shi, Shuhua [1 ]
Sui, Kai [1 ]
Liu, Weizhe [1 ]
Lei, Yanzi [1 ]
Zhang, Shaolong [2 ]
Zhang, Qinggang [2 ]
机构
[1] Shandong Jianzhu Univ, Sch Sci, Jinan 250101, Shandong, Peoples R China
[2] Shandong Normal Univ, Coll Phys & Elect, Jinan, Shandong, Peoples R China
来源
关键词
p53-MDM2; MDMX interactions; MD simulations; principal component analysis; MM-GBSA; cross-correlation analysis; PARTICLE MESH EWALD; HIV-1; PROTEASE; EFFICIENT GENERATION; MDM2; INHIBITORS; P53; RESTORATION; AM1-BCC MODEL; SIDE-CHAIN; RATIONALIZATION; INTEGRATION; ACTIVATION;
D O I
10.1080/07391102.2019.1695671
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
It is well known that the interactions of p53 with murine double minute 2 and murine double minute X, namely MDM2 and MDMX, have been significant targets of efficient anti-cancer drug design. In this study, molecular dynamics (MD) simulations, principal component (PC) analysis and binding free energy calculations are combined to recognize binding selectivity of three ligands to MDM2 and MDMX. The binding free energies were estimated by using molecular mechanics generalized Born surface area (MM-GBSA) method and the obtained results display that the increase in the binding enthalpy of three ligands to MDM2 relative to MDMX mainly drives the binding selectivity of them toward MDM2 and MDMX. The information obtained from PC analysis shows that the associations of ligands exert important impacts on internal dynamics of MDM2 and MDMX. Meanwhile, the calculations of residue-based free energy decomposition not only identify the hot interaction spots of ligands with MDM2 and MDMX, but also show the residues (L54, M53), (Y67, Y66), (V93, V92), (H96, P95), (I99, I98) and (Y100, Y99) in (MDM2, MDMX) are responsible for most contributions to the binding selectivity of three ligands toward MDM2 and MDMX. It is believed that this work can provide useful information for design of highly selective and dual inhibitors targeting MDM2 and MDMX. Communicated by Ramaswamy H. Sarma
引用
收藏
页码:5081 / 5094
页数:14
相关论文
共 50 条
  • [21] Insight into binding mechanisms of EGFR allosteric inhibitors using molecular dynamics simulations and free energy calculations
    Wan, Shanhe
    Yan, Ruohong
    Jiang, Ying
    Li, Zhonghuang
    Zhang, Jiajie
    Wu, Xiaoyun
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2019, 37 (16): : 4384 - 4394
  • [22] Binding selectivity of inhibitors toward the first over the second bromodomain of BRD4: theoretical insights from free energy calculations and multiple short molecular dynamics simulations
    Wang, Yan
    Wu, Shiliang
    Wang, Lifei
    Yang, Zhiyong
    Zhao, Juan
    Zhang, Lulu
    RSC ADVANCES, 2021, 11 (02) : 745 - 759
  • [23] Molecular Mechanism of Binding Selectivity of Inhibitors toward BACE1 and BACE2 Revealed by Multiple Short Molecular Dynamics Simulations and Free-Energy Predictions
    Chen, Jianzhong
    Wang, Jinan
    Yin, Baohua
    Pang, Laixue
    Wang, Wei
    Zhu, Weiliang
    ACS CHEMICAL NEUROSCIENCE, 2019, 10 (10): : 4303 - 4318
  • [24] Understanding the microscopic binding mechanism of hydroxylated and sulfated polybrominated diphenyl ethers with transthyretin by molecular docking, molecular dynamics simulations and binding free energy calculations
    Cao, Huiming
    Sun, Yuzhen
    Wang, Ling
    Zhao, Chunyan
    Fua, Jianjie
    Zhang, Aiqian
    MOLECULAR BIOSYSTEMS, 2017, 13 (04) : 736 - 749
  • [25] Blinded evaluation of farnesoid X receptor (FXR) ligands binding using molecular docking and free energy calculations
    Selwa, Edithe
    Elisee, Eddy
    Zavala, Agustin
    Iorga, Bogdan I.
    JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 2018, 32 (01) : 273 - 286
  • [26] Blinded evaluation of farnesoid X receptor (FXR) ligands binding using molecular docking and free energy calculations
    Edithe Selwa
    Eddy Elisée
    Agustin Zavala
    Bogdan I. Iorga
    Journal of Computer-Aided Molecular Design, 2018, 32 : 273 - 286
  • [27] Revealing inhibition difference between PFI-2 enantiomers against SETD7 by molecular dynamics simulations, binding free energy calculations and unbinding pathway analysis
    Yuzhen Niu
    Danfeng Shi
    Lanlan Li
    Jingyun Guo
    Huanxiang Liu
    Xiaojun Yao
    Scientific Reports, 7
  • [28] Revealing inhibition difference between PFI-2 enantiomers against SETD7 by molecular dynamics simulations, binding free energy calculations and unbinding pathway analysis
    Niu, Yuzhen
    Shi, Danfeng
    Li, Lanlan
    Guo, Jingyun
    Liu, Huanxiang
    Yao, Xiaojun
    SCIENTIFIC REPORTS, 2017, 7
  • [29] Assessing the ligand selectivity of sphingosine kinases using molecular dynamics and MM-PBSA binding free energy calculations
    Fang, Liang
    Wang, Xiaojian
    Xi, Meiyang
    Liu, Tianqi
    Yin, Dali
    MOLECULAR BIOSYSTEMS, 2016, 12 (04) : 1174 - 1182
  • [30] Aggregation mechanism of polyglutamine diseases revealed using quantum chemical calculations, fragment molecular orbital calculations, molecular dynamics simulations, and binding free energy calculations
    Tsukamoto, Koki
    Shimizu, Hideaki
    Ishida, Takashi
    Akiyama, Yutaka
    Nukina, Nobuyuki
    JOURNAL OF MOLECULAR STRUCTURE-THEOCHEM, 2006, 778 (1-3): : 85 - 95