Literature DB >> 26317593

A Comparative Insight into Amprenavir Resistance of Mutations V32I, G48V, I50V, I54V, and I84V in HIV-1 Protease Based on Thermodynamic Integration and MM-PBSA Methods.

Jianzhong Chen1, Xingyu Wang2, Tong Zhu3, Qinggang Zhang4, John Z H Zhang2,3.   

Abstract

Drug resistance of mutations V32I, G48V, I50V, I54V, and I84V in HIV-1 protease (PR) was found in clinical treatment of HIV patients with the drug amprenavir (APV). In order to elucidate the molecular mechanism of drug resistance associated with these mutations, the thermodynamic integration (TI) and molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) methods were applied to calculate binding free energies of APV to wild-type PR and these mutated PRs. The relative binding free energy differences from the TI calculations reveal that the decrease in van der Waals interactions of APV with mutated PRs relative to the wild-type PR mainly drives the drug resistance. This result is in good agreement with the previous experimental results and is also consistent with the results from MM-PBSA calculations. Analyses based on molecular dynamics trajectories show that these mutations can adjust the shape and conformation of the binding pocket, which provides main contributions to the decrease in the van der Waals interactions of APV with mutated PRs. The present study could provide important guidance for the design of new potent inhibitors that could alleviate drug resistance of PR due to mutations.

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Year:  2015        PMID: 26317593     DOI: 10.1021/acs.jcim.5b00173

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  29 in total

1.  Determination of absolute configuration and binding efficacy of benzimidazole-based FabI inhibitors through the support of electronic circular dichroism and MM-GBSA techniques.

Authors:  Jinhong Ren; Tina L Mistry; Pin-Chih Su; Shahila Mehboob; Robel Demissie; Leslie Wo-Mei Fung; Arun K Ghosh; Michael E Johnson
Journal:  Bioorg Med Chem Lett       Date:  2018-04-22       Impact factor: 2.823

2.  Structural and binding insights into HIV-1 protease and P2-ligand interactions through molecular dynamics simulations, binding free energy and principal component analysis.

Authors:  Konda Reddy Karnati; Yixuan Wang
Journal:  J Mol Graph Model       Date:  2019-07-18       Impact factor: 2.518

Review 3.  Enzymatic Transition States and Drug Design.

Authors:  Vern L Schramm
Journal:  Chem Rev       Date:  2018-10-18       Impact factor: 60.622

4.  Multiple Molecular Dynamics Simulations and Energy Analysis Unravel the Dynamic Properties and Binding Mechanism of Mutants HIV-1 Protease with DRV and CA-p2.

Authors:  Ruige Wang; Qingchuan Zheng
Journal:  Microbiol Spectr       Date:  2022-03-23

5.  Effect of double mutations T790M/L858R on conformation and drug-resistant mechanism of epidermal growth factor receptor explored by molecular dynamics simulations.

Authors:  Fangfang Yan; Xinguo Liu; Shaolong Zhang; Jing Su; Qinggang Zhang; Jianzhong Chen
Journal:  RSC Adv       Date:  2018-11-29       Impact factor: 4.036

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

7.  Computational Studies of a Mechanism for Binding and Drug Resistance in the Wild Type and Four Mutations of HIV-1 Protease with a GRL-0519 Inhibitor.

Authors:  Guodong Hu; Aijing Ma; Xianghua Dou; Liling Zhao; Jihua Wang
Journal:  Int J Mol Sci       Date:  2016-05-27       Impact factor: 5.923

8.  Molecular Mechanism and Energy Basis of Conformational Diversity of Antibody SPE7 Revealed by Molecular Dynamics Simulation and Principal Component Analysis.

Authors:  Jianzhong Chen; Jinan Wang; Weiliang Zhu
Journal:  Sci Rep       Date:  2016-11-10       Impact factor: 4.379

9.  Effect of polarization on HIV-1protease and fluoro-substituted inhibitors binding energies by large scale molecular dynamics simulations.

Authors:  Li L Duan; T Zhu; Yu C Li; Qing G Zhang; John Z H Zhang
Journal:  Sci Rep       Date:  2017-02-03       Impact factor: 4.379

10.  Revealing the binding modes and the unbinding of 14-3-3σ proteins and inhibitors by computational methods.

Authors:  Guodong Hu; Zanxia Cao; Shicai Xu; Wei Wang; Jihua Wang
Journal:  Sci Rep       Date:  2015-11-16       Impact factor: 4.379

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