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4R6G

Crystal structure of computational designed leucine rich repeats DLRR_K in space group P22121

Summary for 4R6G
Entry DOI10.2210/pdb4r6g/pdb
Related4R58 4R5C 4R5D 4R6F 4R6J
Descriptorleucine rich repeats DLRR_K, CALCIUM ION (3 entities in total)
Functional Keywordsleucine rich motifs, de novo protein
Biological sourcesynthetic construct
Total number of polymer chains1
Total formula weight50916.17
Authors
Shen, B.W.,Stoddard, B.L. (deposition date: 2014-08-25, release date: 2015-01-07, Last modification date: 2024-02-28)
Primary citationPark, 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: 25580576
DOI: 10.1038/nsmb.2938
PDB entries with the same primary citation
Experimental method
X-RAY DIFFRACTION (2.8 Å)
Structure validation

226707

數據於2024-10-30公開中

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