| Literature DB >> 26174163 |
Jacob B Bale1,2, Rachel U Park1, Yuxi Liu3, Shane Gonen1,4, Tamir Gonen4, Duilio Cascio5, Neil P King1,6, Todd O Yeates3,5, David Baker1,6,7.
Abstract
We recently reported the development of a computational method for the design of coassembling multicomponent protein nanomaterials. While four such materials were validated at high-resolution by X-ray crystallography, low yield of soluble protein prevented X-ray structure determination of a fifth designed material, T33-09. Here we report the design and crystal structure of T33-31, a variant of T33-09 with improved soluble yield resulting from redesign efforts focused on mutating solvent-exposed side chains to charged amino acids. The structure is found to match the computational design model with atomic-level accuracy, providing further validation of the design approach and demonstrating a simple and potentially general means of improving the yield of designed protein nanomaterials.Keywords: coassembly; computational protein design; crystal structure; nanomaterial; solubility; symmetry; tetrahedral
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Year: 2015 PMID: 26174163 PMCID: PMC4594668 DOI: 10.1002/pro.2748
Source DB: PubMed Journal: Protein Sci ISSN: 0961-8368 Impact factor: 6.725