天然三重-链纤维褶皱。

Anna Mitraki, Katerina Papanikolopoulou, Mark J Van Raaij
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引用次数: 31

摘要

最近,一个独特的β结构折叠家族被描述为来自病毒的纤维蛋白。病毒纤维通常参与特异性宿主细胞识别。它们是不对称的三聚体蛋白,由n端病毒结合尾部、中央轴或柄结构域和c端球状受体结合结构域组成。它们通常完全或几乎完全由β结构组成。除了它们的生物学相关性和可能的基因治疗应用外,它们的形状、稳定性和刚性表明它们可能作为生物力学设计的蓝图有用。折叠和展开的研究表明,它们的球状c端结构域可能首先折叠,然后是轴结构域的“拉起”。c端结构域似乎对注册很重要,因为与轴结构域对应的肽单独聚集成非天然纤维和/或淀粉样结构。c端结构域可以在不同的纤维之间交换,所得到的嵌合蛋白是一种有用的方法,可以解决轴结构域未知部分的结构。通过x射线晶体学发现了以下天然三β -链纤维褶皱:三β -螺旋、三β -螺旋和T4短尾纤维褶皱。它们都有一个中央纵向疏水核心和广泛的单体间极性和非极性相互作用。现在,关于这些纤维蛋白的结构和折叠知识已经形成了一个合理的体系,接下来的挑战和机遇是开始将这些信息应用于医学和工业应用,如基因治疗和纳米技术。
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Natural triple beta-stranded fibrous folds.

A distinctive family of beta-structured folds has recently been described for fibrous proteins from viruses. Virus fibers are usually involved in specific host-cell recognition. They are asymmetric homotrimeric proteins consisting of an N-terminal virus-binding tail, a central shaft or stalk domain, and a C-terminal globular receptor-binding domain. Often they are entirely or nearly entirely composed of beta-structure. Apart from their biological relevance and possible gene therapy applications, their shape, stability, and rigidity suggest they may be useful as blueprints for biomechanical design. Folding and unfolding studies suggest their globular C-terminal domain may fold first, followed by a "zipping-up" of the shaft domains. The C-terminal domains appear to be important for registration because peptides corresponding to shaft domains alone aggregate into nonnative fibers and/or amyloid structures. C-terminal domains can be exchanged between different fibers and the resulting chimeric proteins are useful as a way to solve structures of unknown parts of the shaft domains. The following natural triple beta-stranded fibrous folds have been discovered by X-ray crystallography: the triple beta-spiral, triple beta-helix, and T4 short tail fiber fold. All have a central longitudinal hydrophobic core and extensive intermonomer polar and nonpolar interactions. Now that a reasonable body of structural and folding knowledge has been assembled about these fibrous proteins, the next challenge and opportunity is to start using this information in medical and industrial applications such as gene therapy and nanotechnology.

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