@article {47711, title = {Accurate design of megadalton-scale two-component icosahedral protein complexes.}, journal = {Science (New York, N.Y.)}, volume = {353}, year = {2016}, month = {2016 Jul 22}, pages = {389-94}, 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 to 2.8 megadaltons) and dimensions (24 to 40 nanometers in diameter) comparable to those of small viral capsids. Electron microscopy, small-angle x-ray scattering, and x-ray crystallography show that 10 designs spanning three distinct icosahedral architectures form materials closely matching the design models. In vitro assembly of icosahedral complexes from independently purified components occurs rapidly, at rates comparable to those of viral capsids, and enables controlled packaging of molecular cargo through 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.

}, issn = {1095-9203}, doi = {10.1126/science.aaf8818}, author = {Bale, Jacob B and Gonen, Shane and Liu, Yuxi and Sheffler, William and Ellis, Daniel and Thomas, Chantz and Cascio, Duilio and Yeates, Todd O and Gonen, Tamir and King, Neil P and Baker, David} } @article {47562, title = {Design of a hyperstable 60-subunit protein icosahedron.}, journal = {Nature}, year = {2016}, month = {2016 Jun 15}, abstract = {

The icosahedron is the largest of the Platonic solids, and icosahedral protein structures are widely used in biological systems for packaging and transport. There has been considerable interest in repurposing such structures for applications ranging from targeted delivery to multivalent immunogen presentation. 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 with properties custom-tailored to specific applications. Here we describe the computational design of a 25-nanometre icosahedral nanocage that self-assembles from trimeric protein building blocks. The designed protein was produced in Escherichia coli, and found by electron microscopy to assemble into a homogenous population of icosahedral particles nearly identical to the design model. The particles are stable in 6.7 molar guanidine hydrochloride at up to 80 degrees Celsius, and undergo extremely abrupt, but reversible, disassembly between 2 molar and 2.25 molar guanidinium thiocyanate. The icosahedron is robust to genetic fusions: one or two copies of green fluorescent protein (GFP) can be fused to each of the 60 subunits to create highly fluorescent {\textquoteright}standard candles{\textquoteright} for use in light microscopy, and a designed protein pentamer can be placed in the centre of each of the 20 pentameric faces to modulate the size of the entrance/exit channels of the cage. Such robust and customizable nanocages should have considerable utility in targeted drug delivery, vaccine design and synthetic biology.

}, issn = {1476-4687}, doi = {10.1038/nature18010}, author = {Hsia, Yang and Bale, Jacob B and Gonen, Shane and Shi, Dan and Sheffler, William and Fong, Kimberly K and Nattermann, Una and Xu, Chunfu and Huang, Po-Ssu and Ravichandran, Rashmi and Yi, Sue and Davis, Trisha N and Gonen, Tamir and King, Neil P and Baker, David} } @article {46923, title = {Structure of a designed tetrahedral protein assembly variant engineered to have improved soluble expression.}, journal = {Protein Science}, volume = {24}, year = {2015}, month = {2015 Jul 15}, pages = {1695-701}, abstract = {

We recently reported the development of a computational method for the design of co-assembling, multi-component protein nanomaterials. While four such materials were validated at high-resolution by X-ray crystallography, low yield of soluble protein prevented X-ray structure determination of a fifth designed material, T33-09. Here we report the design and crystal structure of T33-31, a variant of T33-09 with improved soluble yield resulting from redesign efforts focused on mutating solvent-exposed side chains to charged amino acids. The structure is found to match the computational design model with atomic-level accuracy, providing further validation of the design approach and demonstrating a simple and potentially general means of improving the yield of designed protein nanomaterials. This article is protected by copyright. All rights reserved.

}, issn = {1469-896X}, doi = {10.1002/pro.2748}, author = {Bale, Jacob B and Park, Rachel U and Liu, Yuxi and Gonen, Shane and Gonen, Tamir and Cascio, Duilio and King, Neil P and Yeates, Todd O and Baker, David} } @article {45180, title = {Accurate design of co-assembling multi-component protein nanomaterials.}, journal = {Nature}, volume = {510}, year = {2014}, month = {2014 Jun 5}, pages = {103-8}, 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.

}, keywords = {Computer Simulation, Crystallography, X-Ray, Drug Design, Models, Molecular, Nanostructures, Protein Subunits, Proteins}, issn = {1476-4687}, doi = {10.1038/nature13404}, author = {King, Neil P and Bale, Jacob B and Sheffler, William and McNamara, Dan E and Gonen, Shane and Gonen, Tamir and Yeates, Todd O and Baker, David} }