4nwr

Computationally Designed Two-Component Self-Assembling Tetrahedral Cage T33-28

spinqualitylabelsall models 4nwr, resolution 3.50Å Show:Asymmetric Unit Biological Assembly Drag the structure with the mouse to rotate   Export Animated Image   Print3D Structural highlights 4nwr is a 96 chain structure with sequence from Leishmania major and Uncultured bacterium. This structure supersedes the now removed PDB entries 1vw5 and 1vw6. Full crystallographic information is available from OCA. For a guided tour on the structure components use FirstGlance. Method: X-ray diffraction, Resolution 3.5Å Resources: FirstGlance, OCA, PDBe, RCSB, PDBsum, ProSAT Function B0BGB0_9BACT Publication Abstract from PubMed 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. Accurate design of co-assembling multi-component protein nanomaterials.,King NP, Bale JB, Sheffler W, McNamara DE, Gonen S, Gonen T, Yeates TO, Baker D Nature. 2014 Jun 5;510(7503):103-8. doi: 10.1038/nature13404. Epub 2014 May 25. PMID:24870237 From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine. See Also Macrophage inhibitory factor 3D structures

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