Accurate design of co-assembling multi-component protein nanomaterials

被引:451
作者
King, Neil P. [1 ,2 ]
Bale, Jacob B. [1 ,3 ]
Sheffler, William [1 ]
McNamara, Dan E. [4 ]
Gonen, Shane [1 ,5 ]
Gonen, Tamir [5 ]
Yeates, Todd O. [4 ,6 ,7 ]
Baker, David [1 ,2 ,8 ]
机构
[1] Univ Washington, Dept Biochem, Seattle, WA 98195 USA
[2] Univ Washington, Inst Prot Design, Seattle, WA 98195 USA
[3] Univ Washington, Grad Program Mol & Cellular Biol, Seattle, WA 98195 USA
[4] UCLA Dept Chem & Biochem, Los Angeles, CA 90095 USA
[5] Howard Hughes Med Inst, Ashburn, VA 20147 USA
[6] UCLA DOE Inst Genom & Prote, Los Angeles, CA 90095 USA
[7] UCLA Mol Biol Inst, Los Angeles, CA 90095 USA
[8] Univ Washington, Howard Hughes Med Inst, Seattle, WA 98195 USA
基金
美国国家科学基金会;
关键词
COMPUTATIONAL DESIGN; DIRECTED EVOLUTION; DNA; SYMMETRY; NANOSTRUCTURES; INTERFACES; HOMODIMER; CONTAINER; ARRAYS; CAGES;
D O I
10.1038/nature13404
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The self-assembly of proteins into highly ordered nanoscale architectures is a hallmark of biological systems. The sophisticated functions of these molecular machines have inspired the development of methods to engineer self-assembling protein nanostructures; however, the design of multi-component protein nanomaterials with high accuracy remains an outstanding challenge. Here we report a computational method for designing protein nanomaterials in which multiple copies of two distinct subunits co-assemble into a specific architecture. We use the method to design five 24-subunit cage-like protein nanomaterials in two distinct symmetric architectures and experimentally demonstrate that their structures are in close agreement with the computational design models. The accuracy of the method and the number and variety of two-component materials that it makes accessible suggest a route to the construction of functional protein nanomaterials tailored to specific applications.
引用
收藏
页码:103 / +
页数:12
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