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      Design of a hyperstable 60-subunit protein icosahedron

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          Abstract

          The icosahedron and the dodecahedron are the largest of the Platonic solids, and icosahedral protein structures are widely utilized in biological systems for packaging and transport 1, 2 . There has been considerable interest in repurposing such structures 35 , for example, virus-like particles for the targeted delivery and vaccine design. The ability to design proteins that self assemble into precisely specified, highly ordered icosahedral structures would open the door to a new generation of protein 'containers' that could exhibit properties custom-made for various applications. In this manuscript, we describe the computational design of an icosahedral nano-cage that self-assembles from trimeric building blocks. Electron microscopy images of the designed protein expressed in E. coli reveals a homogenous population of icosahedral particles nearly identical to the design model. The particles are stable in 6.7 M guanidine hydrochloride at up to 80 °C, and undergo extremely abrupt, but reversible, disassembly between 2 M and 2.25 M guanidinium thiocyanate. The icosahedron is robust to genetic fusions: one or two copies of superfolder GFP can be fused to each of the 60 subunits to create highly fluorescent standard candles for light microscopy, and a designed protein pentamer can be placed in the center of each of the twenty pentameric faces to potentially gate macromolecule access to the nanocage interior. Such robust designed nanocages should have considerable utility for targeted drug delivery 6 , vaccine design 7 , and synthetic biology 8 .

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          Most cited references36

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          NIH Image to ImageJ: 25 years of image analysis.

          For the past 25 years NIH Image and ImageJ software have been pioneers as open tools for the analysis of scientific images. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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            ROSETTA3: an object-oriented software suite for the simulation and design of macromolecules.

            We have recently completed a full re-architecturing of the ROSETTA molecular modeling program, generalizing and expanding its existing functionality. The new architecture enables the rapid prototyping of novel protocols by providing easy-to-use interfaces to powerful tools for molecular modeling. The source code of this rearchitecturing has been released as ROSETTA3 and is freely available for academic use. At the time of its release, it contained 470,000 lines of code. Counting currently unpublished protocols at the time of this writing, the source includes 1,285,000 lines. Its rapid growth is a testament to its ease of use. This chapter describes the requirements for our new architecture, justifies the design decisions, sketches out central classes, and highlights a few of the common tasks that the new software can perform. © 2011 Elsevier Inc. All rights reserved.
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              Shape complementarity at protein/protein interfaces.

              A new statistic Sc, which has a number of advantages over other measures of packing, is used to examine the shape complementarity of protein/protein interfaces selected from the Brookhaven Protein Data Bank. It is shown using Sc that antibody/antigen interfaces as a whole exhibit poorer shape complementarity than is observed in other systems involving protein/protein interactions. This result can be understood in terms of the fundamentally different evolutionary history of particular antibody/antigen associations compared to other systems considered, and in terms of the differing chemical natures of the interfaces.
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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                17 May 2016
                7 July 2016
                07 January 2017
                : 535
                : 7610
                : 136-139
                Affiliations
                [1 ]Department of Biochemistry, University of Washington, Seattle, Washington 98195, USA
                [2 ]Institute for Protein Design, University of Washington, Seattle, Washington 98195, USA
                [3 ]Graduate Program in Biological Physics, Structure & Design, University of Washington, Seattle, WA 98195, USA
                [4 ]Graduate Program in Molecular and Cellular Biology, University of Washington, Seattle, WA 98195, USA
                [5 ]Howard Hughes Medical Institute, University of Washington, Seattle, Washington 98195, USA
                [6 ]Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, 20147, USA
                Author notes
                Correspondence and requests for materials should be addressed to D.B. ( dabaker@ 123456uw.edu )
                [*]

                These authors contributed equally to this work

                Article
                NIHMS778056
                10.1038/nature18010
                4945409
                27309817
                04ccc548-6af0-42bb-b74f-d1b474097c61

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