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The self-assembly mechanism of tetra-peptides from the motif of beta-amyloid peptides: a combined coarse-grained and all-atom molecular dynamics simulation

机译:β-淀粉样蛋白肽基序的四肽的自组装机制:粗粒组合和全原子分子动力学模拟

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摘要

Understanding the self-assembly mechanisms of peptides into nanostructures is essential for the rational design of bionanomaterials. Moreover, the natural fiber formation of Alzheimer's beta-amyloid peptides is crucially involved in Alzheimer's disease but the mechanism still remains obscure. Herein, the assembly of the tetrapeptide motif VFFA from Ab peptides and its derivations KFFA and FFFA into different nanostructures was investigated with combined coarse-grained (CG) and all-atom(AA) models. The primary structures of the tetra-peptides were found to be the most important factor to form special nanostructures rather than the concentration of the tetra-peptides. FFFA tends to form nanosheets, while VFFA tends to form nanospheres and KFFA tends to form nanorods from the CG simulation. The stabilities of the aggregated structures from the CG simulation were investigated and confirmed by AA simulations. In addition, FFFA and VFFA have a greater tendency to assemble into ordered nanostructures than KFFA, and VFFA prefers to form a large beta-sheet like structure from cluster analysis.
机译:了解肽的自组装机制进入纳米结构的理性设计至关重要。此外,Alzheimer的β-淀粉样肽的天然纤维形成至关重要的是阿尔茨海默病,但该机制仍然是模糊的。这里,用组合的粗粒(CG)和全原子(AA)模型,研究了从AB肽和其衍生Kffa和FFFA的四肽基肽和其衍生kffa和FFFA的组装成不同纳米结构。发现四肽的主要结构是形成特殊纳米结构而不是四肽浓度的最重要因素。 FFFA倾向于形成纳米片,而VFFA倾向于形成纳米球,KFFA倾向于从CG仿真形成纳米棒。研究并通过AA模拟研究了来自CG模拟的聚集结构的稳定性。此外,FFFA和VFFA具有比KFFA的有序纳米结构组装更大的倾向,VFFA更喜欢从聚类分析中形成大的β-片状结构。

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  • 来源
    《RSC Advances》 |2016年第102期|共7页
  • 作者单位

    Hangzhou Dianzi Univ Coll Life Informat Sci &

    Instrument Engn Hangzhou 310018 Zhejiang Peoples R China;

    Hangzhou Normal Univ Sch Med Hangzhou 310016 Zhejiang Peoples R China;

    Hangzhou Normal Univ Sch Med Hangzhou 310016 Zhejiang Peoples R China;

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

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