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Quantum chemical molecular dynamics and metadynamics simulation of aluminium binding to amyloid-β and related peptides

机译:铝化学分子动力学与铝粘结剂与淀粉样蛋白-β和相关肽的形状模拟

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We report semi-empirical tight-binding simulations of the interaction between Al(III) and biologically relevant peptides. The GFN2-XTB method is shown to accurately reproduce previously reported and density functional theory (DFT)-calculated geometries of model systems. Molecular dynamics simulations based on this method are able to sample peptide flexibility over timescales of up to nanoseconds, but these timescales are insufficient to explore potential changes in metal–peptide binding modes. To achieve this, metadynamics simulations using root mean square deviation as a collective variable were employed. With suitably chosen biasing potentials, these are able to efficiently explore diverse coordination modes, for instance, through Glu and/or Asp residues in a model peptide. Using these methods, we find that Al(III) binding to the N-terminal sequence of amyloid-β is highly fluxional, with all acidic sidechains and several backbone oxygens participating in coordination. We also show that such simulations could provide a means to predict a priori possible binding modes as a precursor to longer, atomistic simulations.
机译:我们报告了Al(III)和生物学相关肽之间的相互作用的半经验紧密结合模拟。显示GFN2-XTB方法以精确地再现先前报告的和密度泛函理论(DFT)的模型系统的几何形状。基于该方法的分子动力学模拟能够在高达纳秒的时间尺寸上进行肽柔韧性,但这些时间尺度不足以探讨金属肽结合模式的潜在变化。为此,采用了使用作为集体变量作为集体变量的均方根偏差的Metadnamics模拟。 With suitably chosen biasing potentials, these are able to efficiently explore diverse coordination modes, for instance, through Glu and/or Asp residues in a model peptide.使用这些方法,我们发现与淀粉样蛋白-β的N-末端序列的al(III)结合,具有高浓度的,具有所有酸性的侧链和参与协调的几个骨架氧。我们还表明这种模拟可以提供预测优先可能的绑定模式作为更长的原子模拟的方法。

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