7UR7
17_bp_sh3, a small beta-barrel de novo designed protein
Summary for 7UR7
Entry DOI | 10.2210/pdb7ur7/pdb |
Descriptor | 17_bp_sh3 (2 entities in total) |
Functional Keywords | de novo design, beta-barrel, protein binder, de novo protein |
Biological source | synthetic construct |
Total number of polymer chains | 1 |
Total formula weight | 8548.75 |
Authors | Bera, A.K.,Kim, D.,Baker, D. (deposition date: 2022-04-21, release date: 2023-03-22, Last modification date: 2024-04-03) |
Primary citation | Kim, D.E.,Jensen, D.R.,Feldman, D.,Tischer, D.,Saleem, A.,Chow, C.M.,Li, X.,Carter, L.,Milles, L.,Nguyen, H.,Kang, A.,Bera, A.K.,Peterson, F.C.,Volkman, B.F.,Ovchinnikov, S.,Baker, D. De novo design of small beta barrel proteins. Proc.Natl.Acad.Sci.USA, 120:e2207974120-e2207974120, 2023 Cited by PubMed Abstract: Small beta barrel proteins are attractive targets for computational design because of their considerable functional diversity despite their very small size (<70 amino acids). However, there are considerable challenges to designing such structures, and there has been little success thus far. Because of the small size, the hydrophobic core stabilizing the fold is necessarily very small, and the conformational strain of barrel closure can oppose folding; also intermolecular aggregation through free beta strand edges can compete with proper monomer folding. Here, we explore the de novo design of small beta barrel topologies using both Rosetta energy-based methods and deep learning approaches to design four small beta barrel folds: Src homology 3 (SH3) and oligonucleotide/oligosaccharide-binding (OB) topologies found in nature and five and six up-and-down-stranded barrels rarely if ever seen in nature. Both approaches yielded successful designs with high thermal stability and experimentally determined structures with less than 2.4 Å rmsd from the designed models. Using deep learning for backbone generation and Rosetta for sequence design yielded higher design success rates and increased structural diversity than Rosetta alone. The ability to design a large and structurally diverse set of small beta barrel proteins greatly increases the protein shape space available for designing binders to protein targets of interest. PubMed: 36897987DOI: 10.1073/pnas.2207974120 PDB entries with the same primary citation |
Experimental method | X-RAY DIFFRACTION (1.21 Å) |
Structure validation
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