纳米笼
二十面体对称
对称(几何)
纳米技术
蛋白质设计
生物系统
衣壳
计算机科学
化学
蛋白质结构
计算生物学
生物物理学
材料科学
结晶学
生物
数学
几何学
生物化学
催化作用
基因
作者
Quinton M. Dowling,Young‐Jun Park,Chelsea N. Fries,Neil Gerstenmaier,Sebastian Ols,Erin C. Yang,Adam J. Wargacki,Annie Dosey,Yang Hsia,Rashmi Ravichandran,Carl Walkey,Anika L. Burrell,David Veesler,David Baker,Neil P. King
出处
期刊:Nature
[Springer Nature]
日期:2024-12-18
标识
DOI:10.1038/s41586-024-08360-6
摘要
Abstract Discrete protein assemblies ranging from hundreds of kilodaltons to hundreds of megadaltons in size are a ubiquitous feature of biological systems and perform highly specialized functions 1,2 . Despite remarkable recent progress in accurately designing new self-assembling proteins, the size and complexity of these assemblies has been limited by a reliance on strict symmetry 3 . Here, inspired by the pseudosymmetry observed in bacterial microcompartments and viral capsids, we developed a hierarchical computational method for designing large pseudosymmetric self-assembling protein nanomaterials. We computationally designed pseudosymmetric heterooligomeric components and used them to create discrete, cage-like protein assemblies with icosahedral symmetry containing 240, 540 and 960 subunits. At 49, 71 and 96 nm diameter, these nanocages are the largest bounded computationally designed protein assemblies generated to date. More broadly, by moving beyond strict symmetry, our work substantially broadens the variety of self-assembling protein architectures that are accessible through design.
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