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首页> 外文期刊>Nature Chemistry >Complete protein-protein association kinetics in atomic detail revealed by molecular dynamics simulations and Markov modelling
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Complete protein-protein association kinetics in atomic detail revealed by molecular dynamics simulations and Markov modelling

机译:分子动力学模拟和马尔可夫建模的原子细节中完全蛋白质 - 蛋白质关联动力学

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摘要

Protein-protein association is fundamental to many life processes. However, a microscopic model describing the structures and kinetics during association and dissociation is lacking on account of the long lifetimes of associated states, which have prevented efficient sampling by direct molecular dynamics (MD) simulations. Here we demonstrate protein-protein association and dissociation in atomistic resolution for the ribonuclease barnase and its inhibitor barstar by combining adaptive high-throughput MD simulations and hidden Markov modelling. The model reveals experimentally consistent intermediate structures, energetics and kinetics on timescales from microseconds to hours. A variety of flexibly attached intermediates and misbound states funnel down to a transition state and a native basin consisting of the loosely bound near-native state and the tightly bound crystallographic state. These results offer a deeper level of insight into macromolecular recognition and our approach opens the door for understanding and manipulating a wide range of macromolecular association processes.
机译:蛋白质 - 蛋白质关联是许多生命过程的基础。然而,描述了在关联期间和解离过程中的结构和动力学的微观模型缺乏相关状态的长寿,这阻止了通过直接分子动力学(MD)模拟的有效抽样。在这里,我们通过组合自适应高通量MD仿真和隐马尔可夫建模来证明核糖核酸酶Barnase及其抑制剂Barstar的蛋白质 - 蛋白质结合和解离。该模型揭示了实验一致的中间结构,高能量和动力学,从微秒到几小时。将各种灵活的中间体和误报漏斗降至过渡状态和由松散地绑定的近天然状态和紧密结合的结晶状态组成的天然盆地。这些结果提供了更深入的深度洞察力,对大分子识别,我们的方法打开了门,以了解和操纵各种大分子关联过程。

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  • 来源
    《Nature Chemistry》 |2017年第10期|共7页
  • 作者单位

    Free Univ Berlin Dept Math &

    Comp Sci Arnimallee 6 D-14195 Berlin Germany;

    Univ Pompeu Fabra Computat Biophys Lab GRIB IMIM PRBB C Doctor Aiguader 88 Barcelona 08003 Spain;

    Univ Pompeu Fabra Computat Biophys Lab GRIB IMIM PRBB C Doctor Aiguader 88 Barcelona 08003 Spain;

    Free Univ Berlin Dept Math &

    Comp Sci Arnimallee 6 D-14195 Berlin Germany;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 化学;
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