2013
DOI: 10.1021/ja403503m
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Computational Design of an Unnatural Amino Acid Dependent Metalloprotein with Atomic Level Accuracy

Abstract: Genetically encoded unnatural amino acids could facilitate the design of proteins and enzymes of novel function, but correctly specifying sites of incorporation, and the identities and orientations of surrounding residues represents a formidable challenge. Computational design methods have been used to identify optimal locations for functional sites in proteins and design the surrounding residues, but have not incorporated unnatural amino acids in this process. We extended the Rosetta design methodology to des… Show more

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Cited by 103 publications
(85 citation statements)
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“…A previous study in which Bpy-ala was used to engineer a novel metal-binding site in a protein scaffold highlighted important considerations for protein design efforts using this NCAA (6). In a design in which the Bpy-ala residue was not well constrained by packing interactions, we observed the formation of a highly stable [Fe(Bpy-ala f ) 2 (Bpy-ala p )]…”
Section: Resultsmentioning
confidence: 79%
See 1 more Smart Citation
“…A previous study in which Bpy-ala was used to engineer a novel metal-binding site in a protein scaffold highlighted important considerations for protein design efforts using this NCAA (6). In a design in which the Bpy-ala residue was not well constrained by packing interactions, we observed the formation of a highly stable [Fe(Bpy-ala f ) 2 (Bpy-ala p )]…”
Section: Resultsmentioning
confidence: 79%
“…Because Bpy forms very stable octahedral complexes with a number of biologically relevant divalent cations (e.g., Fe ), an appropriately placed Bpy-ala residue could potentially be used to generate self-assembling proteins nucleated by [M(Bpy) 3 ] 2+ complexes (where M is a divalent cation that forms an octahedral complex with Bpy). Although we (6) and others (7)(8)(9) have engineered proteins in which Bpy-ala served in structural or functional capacities, to our knowledge, the possibility of using this NCAA to drive or stabilize the formation of a protein complex has not been explored.…”
mentioning
confidence: 99%
“…Despite the successful identification of a suitable pair of incorporation site and non-natural amino acid, the approach was based on a very qualitative visualization technique and cannot easily be applied to other systems [33]. Recently, RosettaDesign approach was successfully utilized to design a metalloprotein variant containing a non-natural amino acid, (2,2 -bipyridin-5yl) alanine, for the enhanced binding toward various metal ions [63]. In order to develop a strategy more applicable to other systems, we utilized the computational analysis tools (RosettaLigand and RosettaDesign) to evaluate various incorporation sites.…”
Section: Resultsmentioning
confidence: 99%
“…3A) (Mills et al 2013). Using the software Rosetta, Mills et al (2013) generated a BpyAla-containing metalloprotein with high affinity (K d for Zn 2þ is 37 pM) against a number of divalent cations. The three-dimensional structure determined by X-ray crystallography was very close to that of the design model (Fig.…”
Section: The Design Of Proteins With Novel Properties Using Ncaasmentioning
confidence: 99%