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      Accurate design of megadalton-scale two-component icosahedral protein complexes

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          Abstract

          Nature provides many examples of self- and co-assembling protein-based molecular machines, including icosahedral protein cages that serve as scaffolds, enzymes, and compartments for essential biochemical reactions and icosahedral virus capsids, which encapsidate and protect viral genomes and mediate entry into host cells. Inspired by these natural materials, we report the computational design and experimental characterization of co-assembling two-component 120-subunit icosahedral protein nanostructures with molecular weights (1.8–2.8 MDa) and dimensions (24–40 nm diameter) comparable to small viral capsids. Electron microscopy, SAXS, and X-ray crystallography show that ten designs spanning three distinct icosahedral architectures form materials closely matching the design models. In vitro assembly of independently purified components reveals rapid assembly rates comparable to viral capsids and enables controlled packaging of molecular cargo via charge complementarity. The ability to design megadalton-scale materials with atomic-level accuracy and controllable assembly opens the door to a new generation of genetically programmable protein-based molecular machines.

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          Most cited references48

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          Physical Principles in the Construction of Regular Viruses

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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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              Is Open Access

              RosettaScripts: A Scripting Language Interface to the Rosetta Macromolecular Modeling Suite

              Macromolecular modeling and design are increasingly useful in basic research, biotechnology, and teaching. However, the absence of a user-friendly modeling framework that provides access to a wide range of modeling capabilities is hampering the wider adoption of computational methods by non-experts. RosettaScripts is an XML-like language for specifying modeling tasks in the Rosetta framework. RosettaScripts provides access to protocol-level functionalities, such as rigid-body docking and sequence redesign, and allows fast testing and deployment of complex protocols without need for modifying or recompiling the underlying C++ code. We illustrate these capabilities with RosettaScripts protocols for the stabilization of proteins, the generation of computationally constrained libraries for experimental selection of higher-affinity binding proteins, loop remodeling, small-molecule ligand docking, design of ligand-binding proteins, and specificity redesign in DNA-binding proteins.

                Author and article information

                Journal
                0404511
                7473
                Science
                Science
                Science (New York, N.Y.)
                0036-8075
                1095-9203
                25 April 2017
                22 July 2016
                27 June 2017
                : 353
                : 6297
                : 389-394
                Affiliations
                [1 ]Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
                [2 ]Graduate Program in Molecular and Cellular Biology, University of Washington, Seattle, WA 98195, USA
                [3 ]Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA
                [4 ]UCLA Department of Chemistry and Biochemistry, Los Angeles, CA 90095, USA
                [5 ]Institute for Protein Design, University of Washington, Seattle, Washington 98195
                [6 ]Department of Chemistry, University of Washington, Seattle, WA 98195, USA
                [7 ]UCLA-DOE Institute for Genomics and Proteomics, Los Angeles, CA 90095, USA
                [8 ]UCLA Department of Biological Chemistry and The Molecular Biology Institute, Los Angeles, CA 90095, USA
                [9 ]Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA
                Author notes
                [* ]Corresponding author. neilking@ 123456uw.edu (NPK); dabaker@ 123456uw.edu (DB)
                [†]

                These authors contributed equally to this work.

                Article
                PMC5485857 PMC5485857 5485857 hhmipa869833
                10.1126/science.aaf8818
                5485857
                27463675
                a05f4d04-6a1d-448a-b269-4d55e2e2154f
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