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3WWB

Crystal structure of the computationally designed Pizza2-SR protein

Summary for 3WWB
Entry DOI10.2210/pdb3wwb/pdb
Related3WW7 3WW8 3WW9 3WWA 3WWF
DescriptorPizza2-SR protein (2 entities in total)
Functional Keywordscomputational protein design, self-assembly, de novo protein
Total number of polymer chains3
Total formula weight27429.33
Authors
Voet, A.R.D.,Noguchi, H.,Addy, C.,Simoncini, D.,Terada, D.,Unzai, S.,Park, S.Y.,Zhang, K.Y.J.,Tame, J.R.H. (deposition date: 2014-06-17, release date: 2014-10-08, Last modification date: 2024-03-20)
Primary citationVoet, A.R.D.,Noguchi, H.,Addy, C.,Simoncini, D.,Terada, D.,Unzai, S.,Park, S.Y.,Zhang, K.Y.J.,Tame, J.R.H.
Computational design of a self-assembling symmetrical beta-propeller protein.
Proc.Natl.Acad.Sci.USA, 111:15102-15107, 2014
Cited by
PubMed Abstract: The modular structure of many protein families, such as β-propeller proteins, strongly implies that duplication played an important role in their evolution, leading to highly symmetrical intermediate forms. Previous attempts to create perfectly symmetrical propeller proteins have failed, however. We have therefore developed a new and rapid computational approach to design such proteins. As a test case, we have created a sixfold symmetrical β-propeller protein and experimentally validated the structure using X-ray crystallography. Each blade consists of 42 residues. Proteins carrying 2-10 identical blades were also expressed and purified. Two or three tandem blades assemble to recreate the highly stable sixfold symmetrical architecture, consistent with the duplication and fusion theory. The other proteins produce different monodisperse complexes, up to 42 blades (180 kDa) in size, which self-assemble according to simple symmetry rules. Our procedure is suitable for creating nano-building blocks from different protein templates of desired symmetry.
PubMed: 25288768
DOI: 10.1073/pnas.1412768111
PDB entries with the same primary citation
Experimental method
X-RAY DIFFRACTION (1.7 Å)
Structure validation

226707

數據於2024-10-30公開中

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