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A simple coarse-grained model forself-assembling silk-like protein fibers

机译:自组装丝状蛋白纤维的简单粗粒模型

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Collagen-silk-collagen triblock polypeptides can self-assemble at low pH intonanometer thin fibers with a length in the order of micrometers. Previously wepredicted, via all-atom simulations, the structure of the folded silk domain to bea 13-roll. In this work we develop a simple coarse-grained model of the silkdomain to enable a numerical study of the fiber's properties and formation ona larger length and time scale. As an initial coarse-grained model for thefiber forming protein we chose the model of Brown et al., Proc. Natl. Acad. Sci.U. S. A., 2003, 100, 10712-10717. We adapted this model, and optimized itsparameters to reproduce the all-atom molecular dynamics simulation structuraldata. The unknown strength of the attraction between the beads representing theresidues is optimized by computing the Potential of Mean Force for unfoldinga strand of the (3-roll, using non-equilibrium steered MD simulations incombination with the Jarzynski relation. Using these optimized parameters weobserved spontaneous folding of a short peptide. The coarse-grained (3-roll, aswell as a much larger stack (a fiber) of 13-rolls, were found to be stable. Moreover,the predicted fiber persistence length is in agreement with experiment. Theefficacy of the mapping of a coarse-grained system onto an all-atom simulation isdiscussed. The approach opens the way for large-scale simulations of fibers,based on molecular structure, and allows investigation of their nucleation,growth, cross-linking mechanism, network dynamics, and rheology.
机译:胶原蛋白-丝绸-胶原蛋白三嵌段多肽可以在低pH下自组装成纳米细纤维,其长度约为微米。以前,我们通过全原子模拟将折叠的丝域的结构预测为13卷。在这项工作中,我们开发了一个简单的丝域粗粒度模型,以便能够在更大的长度和时间范围内对纤维的性质和形成进行数值研究。作为最初的纤维形成蛋白粗粒度模型,我们选择了Brown等人的Proc。 Natl。学院科幻S.A.,2003,100,10712-10717。我们改编了该模型,并优化了其参数以重现全原子分子动力学模拟的结构数据。通过使用非平衡转向MD模拟和Jarzynski关系,通过计算(3卷)链展开的平均力的潜力,可以优化代表残渣的小珠之间的吸引力的未知强度。使用这些优化的参数,我们观察到了自发折叠结果表明,粗粒(3辊以及更大的13辊堆叠)是稳定的,此外,预测的纤维持久性与实验一致。讨论了将粗粒度系统映射到全原子模拟的方法,该方法为基于分子结构的纤维的大规模模拟开辟了道路,并允许研究其成核,生长,交联机理,网络动力学和流变学。

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