4R5C
Crystal structure of computational designed leucine rich repeats DLRR_E in space group of P212121
Summary for 4R5C
Entry DOI | 10.2210/pdb4r5c/pdb |
Related | 4R58 4R5D 4R6F 4R6G 4R6J |
Descriptor | Leucine rich repeat protein, 1,2-ETHANEDIOL (3 entities in total) |
Functional Keywords | leucine rich repeat (lrr) protein, de novo protein |
Biological source | synthetic construct |
Total number of polymer chains | 1 |
Total formula weight | 33363.29 |
Authors | Shen, B.W.,Stoddard, B.L. (deposition date: 2014-08-21, release date: 2015-01-07, Last modification date: 2024-02-28) |
Primary citation | Park, K.,Shen, B.W.,Parmeggiani, F.,Huang, P.S.,Stoddard, B.L.,Baker, D. Control of repeat-protein curvature by computational protein design. Nat.Struct.Mol.Biol., 22:167-174, 2015 Cited by PubMed Abstract: Shape complementarity is an important component of molecular recognition, and the ability to precisely adjust the shape of a binding scaffold to match a target of interest would greatly facilitate the creation of high-affinity protein reagents and therapeutics. Here we describe a general approach to control the shape of the binding surface on repeat-protein scaffolds and apply it to leucine-rich-repeat proteins. First, self-compatible building-block modules are designed that, when polymerized, generate surfaces with unique but constant curvatures. Second, a set of junction modules that connect the different building blocks are designed. Finally, new proteins with custom-designed shapes are generated by appropriately combining building-block and junction modules. Crystal structures of the designs illustrate the power of the approach in controlling repeat-protein curvature. PubMed: 25580576DOI: 10.1038/nsmb.2938 PDB entries with the same primary citation |
Experimental method | X-RAY DIFFRACTION (1.93 Å) |
Structure validation
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