Suppr超能文献

设计由淀粉样肽基序贡献的疏水相互作用驱动的二维和三维蛋白质纳米笼网络。

Designed Two- and Three-Dimensional Protein Nanocage Networks Driven by Hydrophobic Interactions Contributed by Amyloidogenic Motifs.

机构信息

Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering , China Agricultural University, Beijing Key Laboratory of Functional Food from Plant Resources , Beijing 100083 , China.

出版信息

Nano Lett. 2019 Jun 12;19(6):4023-4028. doi: 10.1021/acs.nanolett.9b01365. Epub 2019 May 23.

Abstract

Precise manipulation of protein self-assembly by noncovalent interactions into programmed networks to mimic naturally occurring nanoarchitectures in living organisms is a challenge due to its structural heterogeneity, flexibility, and complexity. Herein, by taking advantage of both the hydrophobic forces contributed by the "GLMVG" motif, a kind of amyloidogenic motif (AM), and the high symmetry of protein nanocages, we have built an effective protein self-assembly strategy for the construction of two-dimensional (2D) or three-dimensional (3D) protein nanocage arrays. According to this strategy, "GLMVG" AMs from β-amyloid 42 were grafted onto the outer surface of a 24-mer ferritin nanocage close to its C symmetry channels, initially resulting in the production of subgrade 2D nanocage arrays and ultimately generating 3D highly ordered arrays with a simple cubic packing pattern as the reaction time increases. More importantly, the reversibility and the formation rate of these protein arrays can be modulated by pH. This work provides a de novo design strategy for accurate control over 2D or 3D protein self-assemblies.

摘要

由于蛋白质结构的异质性、灵活性和复杂性,通过非共价相互作用精确操纵蛋白质自组装成可编程网络,以模拟生物体内自然发生的纳米结构,这是一项挑战。在此,我们利用“GLMVG”基序(一种淀粉样肽基序(AM))的疏水力和蛋白质纳米笼的高度对称性,构建了一种有效的蛋白质自组装策略,用于构建二维(2D)或三维(3D)蛋白质纳米笼阵列。根据该策略,将来自β-淀粉样蛋白 42 的“GLMVG”AM 接枝到靠近其 C 对称通道的 24 -mer 铁蛋白纳米笼的外表面上,最初得到低级 2D 纳米笼阵列,最终随着反应时间的增加生成具有简单立方堆积模式的 3D 高度有序阵列。更重要的是,这些蛋白质阵列的可逆性和形成速率可以通过 pH 值进行调节。这项工作为精确控制 2D 或 3D 蛋白质自组装提供了一种全新的设计策略。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验