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Self-folding and aggregation of amyloid nanofibrils

机译:淀粉样蛋白的自折叠式和聚合纺锤

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Amyloids are highly organized protein filaments, rich in β-sheet secondary structures that self-assemble to form dense plaques in brain tissues affected by severe neurodegenerative disorders (e.g. Alzheimer's Disease). Identified as natural functional materials in bacteria, in addition to their remarkable mechanical properties, amyloids have also been proposed as a platform for novel biomaterials in nanotechnology applications including nanowires, liquid crystals, scaffolds and thin films. Despite recent progress in understanding amyloid structure and behavior, the latent self-assembly mechanism and the underlying adhesion forces that drive the aggregation process remain poorly understood. On the basis of previous full atomistic simulations, here we report a simple coarse-grain model to analyze the competition between adhesive forces and elastic deformation of amyloid fibrils. We use simple model system to investigate self-assembly mechanisms of fibrils, focused on the formation of self-folded nanorackets and nanorings, and thereby address a critical issue in linking the biochemical (Angstrom) to micrometre scales relevant for larger-scale states of functional amyloid materials. We investigate the effect of varying the interfibril adhesion energy on the structure and stability of self-folded nanorackets and nanorings and demonstrate that these aggregated amyloid fibrils are stable in such states even when the fibril-fibril interaction is relatively weak, given that the constituting amyloid fibril length exceeds a critical fibril length-scale of several hundred nanometres. We further present a simple approach to directly determine the interfibril adhesion strength from geometric measures. In addition to providing insight into the physics of aggregation of amyloid fibrils our model enables the analysis of large-scale amyloid plaques and presents a new method for the estimation and engineering of the adhesive forces responsible of the self-assembly process of amyloid nanostructures, filling a gap that previously existed between full atomistic simulations of primarily ultra-short fibrils and much larger micrometre-scale amyloid aggregates. Via direct simulation of large-scale amyloid aggregates consisting of hundreds of fibrils we demonstrate that the fibril length has a profound impact on their structure and mechanical properties, where the critical fibril length-scale derived from our analysis of self-folded nanorackets and nanorings defines the structure of amyloid aggregates. A multi-scale modeling approach as used here, bridging the scales from Angstroms to micrometres, opens a wide range of possible nanotechnology applications by presenting a holistic framework that balances mechanical properties of individual fibrils, hierarchical self-assembly, and the adhesive forces determining their stability to facilitate the design of de novo amyloid materials.
机译:淀粉体高度有组织的蛋白质纤维,富含β片二级结构自组装形成致密斑在大脑组织受到严重的神经退行性的影响疾病(如阿尔茨海默病)。作为细菌自然功能材料,除了他们的非凡的机械属性,淀粉也被建议作为一个小说在纳米生物材料的平台应用包括纳米线、液体晶体,支架和薄膜。最近的进展了解淀粉样蛋白结构和行为,潜在的自组装机制和底层的粘附力驱动聚合过程仍然不佳理解。一个简单的原子论的模拟,在这里,我们报告粗粒度模型来分析竞争之间粘附力和弹性变形淀粉样原纤维。研究自组装机制的纤维,关注self-folded的形成nanorackets nanorings,从而解决关键问题在链接的生化(埃)微米尺度有关大规模的功能性淀粉样蛋白材料。interfibril附着力能源结构稳定self-folded nanorackets和这些聚合nanorings并演示在这样的国家甚至淀粉样原纤维是稳定的当fibril-fibril交互相对弱,鉴于淀粉样原纤维构成长度超过临界纤维长度尺度几百纳米。简单的方法直接确定从几何interfibril粘附强度措施。淀粉样原纤维的聚合物理学模型支持大规模的淀粉样蛋白的分析斑块和提出了一种新的方法评估和工程胶粘剂的力量负责任的自组装过程淀粉样蛋白纳米结构,填补一个空白以前之间存在完整的原子论的主要模拟超短纤维更大的微米级的淀粉样蛋白聚集。通过大规模的淀粉样蛋白的直接模拟我们聚集数以百计的纤维组成的证明原纤维长度有深远的对其结构和力学的影响属性,关键的须根长度范围来自我们的分析self-folded nanorackets nanorings定义了淀粉样蛋白聚集的结构。建模方法,这里使用桥接从埃到微米尺度,打开一个广泛的可能的纳米技术应用程序通过提供一个整体的框架平衡个人的机械性能纤维、分级自组装部队确定稳定的粘合剂促进新创淀粉体的设计材料。

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