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作者:

Tan, Jianjun (Tan, Jianjun.) | Yuan, Hongling (Yuan, Hongling.) | Li, Chunhua (Li, Chunhua.) (学者:李春华) | Zhang, Xiaoyi (Zhang, Xiaoyi.) | Wang, Cunxin (Wang, Cunxin.)

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摘要:

HIV-1 membrane fusion plays an important role in the process that HIV-1 entries host cells. As a treatment strategy targeting HIV-1 entry process, fusion inhibitors have been proposed. Nevertheless, development of a short peptide possessing high anti-HIV potency is considered a daunting challenge. He et al. found that two residues, Met626 and Thr627, located the upstream of the C-terminal heptad repeat of the gp41, formed a unique hook-like structure (M-T hook) that can dramatically improve the binding stability and anti-HIV activity of the inhibitors. In this work, we explored the molecular mechanism why M-T hook structure could improve the anti-HIV activity of inhibitors. Firstly, molecular dynamic simulation was used to obtain information on the time evolution between gp41 and ligands. Secondly, based on the simulations, molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) and molecular mechanics Generalized Born surface area (MM-GBSA) methods were used to calculate the binding free energies. The binding free energy of the ligand with M-T hook was considerably higher than the other without M-T. Further studies showed that the hydrophobic interactions made the dominant contribution to the binding free energy. The numbers of Hydrogen bonds between gp41 and the ligand with M-T hook structure were more than the other. These findings should provide insights into the inhibition mechanism of the short peptide fusion inhibitors and be useful for the rational design of novel fusion inhibitors in the future. (C) 2016 Elsevier Ltd. All rights reserved.

关键词:

Binding free energy Molecular dynamic simulation MM-PB/GBSA HIV-1 Fusion inhibitors

作者机构:

  • [ 1 ] [Tan, Jianjun]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 2 ] [Yuan, Hongling]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 3 ] [Li, Chunhua]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 4 ] [Zhang, Xiaoyi]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 5 ] [Wang, Cunxin]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China

通讯作者信息:

  • 李春华

    [Tan, Jianjun]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China;;[Li, Chunhua]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China

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来源 :

COMPUTATIONAL BIOLOGY AND CHEMISTRY

ISSN: 1476-9271

年份: 2016

卷: 61

页码: 202-209

3 . 1 0 0

JCR@2022

ESI学科: COMPUTER SCIENCE;

ESI高被引阀值:167

中科院分区:4

被引次数:

WoS核心集被引频次: 3

SCOPUS被引频次: 3

ESI高被引论文在榜: 0 展开所有

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