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Mechanical Properties of Tandem-Repeat Proteins Are Governed by Network Defects
ACS Biomaterials Science & Engineering ( IF 5.4 ) Pub Date : 2018-01-31 00:00:00 , DOI: 10.1021/acsbiomaterials.7b00830
Abdon Pena-Francesch , Huihun Jung , Mo Segad 1 , Ralph H. Colby , Benjamin D. Allen , Melik C. Demirel
Affiliation  

Topological defects in highly repetitive structural proteins strongly affect their mechanical properties. However, there are no universal rules for structure–property prediction in structural proteins due to high diversity in their repetitive modules. Here, we studied the mechanical properties of tandem-repeat proteins inspired by squid ring teeth proteins using rheology and tensile experiments as well as spectroscopic and X-ray techniques. We also developed a network model based on entropic elasticity to predict structure–property relationships for these proteins. We demonstrated that shear modulus, elastic modulus, and toughness scale inversely with the number of repeats in these proteins. Through optimization of structural repeats, we obtained highly efficient protein network topologies with 42 MJ/m3 ultimate toughness that are capable of withstanding deformations up to 350% when hydrated. Investigation of topological network defects in structural proteins will improve the prediction of mechanical properties for designing novel protein-based materials.

中文翻译:

串联重复蛋白的机械性质受网络缺陷支配。

高度重复的结构蛋白中的拓扑缺陷会严重影响其机械性能。但是,由于结构蛋白的重复模块具有高度多样性,因此没有结构结构属性预测的通用规则。在这里,我们使用流变和拉伸实验以及光谱和X射线技术研究了鱿鱼齿状蛋白质激发的串联重复蛋白质的机械性能。我们还开发了基于熵弹性的网络模型来预测这些蛋白质的结构与属性之间的关系。我们证明了剪切模量,弹性模量和韧性与这些蛋白质中的重复数成反比。通过优化结构重复,我们获得了42 MJ / m 3的高效蛋白质网络拓扑最高的韧性,在水化时能够承受高达350%的变形。对结构蛋白中拓扑网络缺陷的研究将改善对设计基于蛋白质的新型材料的机械性能的预测。
更新日期:2018-01-31
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