Accurate design of co-assembling multi-component protein nanomaterials

Neil P. King, Jacob B. Bale, William Sheffler, Dan E. McNamara, Shane Gonen, Tamir Gonen, Todd O. Yeates and David Baker ()
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Neil P. King: University of Washington
Jacob B. Bale: University of Washington
William Sheffler: University of Washington
Dan E. McNamara: UCLA Department of Chemistry and Biochemistry
Shane Gonen: University of Washington
Tamir Gonen: Janelia Farm Research Campus, Howard Hughes Medical Institute, 19700 Helix Drive, Ashburn, Virginia 20147, USA
Todd O. Yeates: UCLA Department of Chemistry and Biochemistry
David Baker: University of Washington

Nature, 2014, vol. 510, issue 7503, 103-108

Abstract: Abstract 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.

Date: 2014
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DOI: 10.1038/nature13404

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