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6E5C

Solution NMR structure of a de novo designed double-stranded beta-helix

Summary for 6E5C
Entry DOI10.2210/pdb6e5c/pdb
NMR InformationBMRB: 30495
DescriptorDe novo beta protein (1 entity in total)
Functional Keywordsbeta sheet, beta protein, de novo, de novo protein
Biological sourcesynthetic construct
Total number of polymer chains1
Total formula weight8916.92
Authors
Marcos, E.,Chidyausiku, T.M.,McShan, A.,Evangelidis, T.,Nerli, S.,Sgourakis, N.,Tripsianes, K.,Baker, D. (deposition date: 2018-07-19, release date: 2018-11-07, Last modification date: 2024-05-01)
Primary citationMarcos, E.,Chidyausiku, T.M.,McShan, A.C.,Evangelidis, T.,Nerli, S.,Carter, L.,Nivon, L.G.,Davis, A.,Oberdorfer, G.,Tripsianes, K.,Sgourakis, N.G.,Baker, D.
De novo design of a non-local beta-sheet protein with high stability and accuracy.
Nat. Struct. Mol. Biol., 25:1028-1034, 2018
Cited by
PubMed Abstract: β-sheet proteins carry out critical functions in biology, and hence are attractive scaffolds for computational protein design. Despite this potential, de novo design of all-β-sheet proteins from first principles lags far behind the design of all-α or mixed-αβ domains owing to their non-local nature and the tendency of exposed β-strand edges to aggregate. Through study of loops connecting unpaired β-strands (β-arches), we have identified a series of structural relationships between loop geometry, side chain directionality and β-strand length that arise from hydrogen bonding and packing constraints on regular β-sheet structures. We use these rules to de novo design jellyroll structures with double-stranded β-helices formed by eight antiparallel β-strands. The nuclear magnetic resonance structure of a hyperthermostable design closely matched the computational model, demonstrating accurate control over the β-sheet structure and loop geometry. Our results open the door to the design of a broad range of non-local β-sheet protein structures.
PubMed: 30374087
DOI: 10.1038/s41594-018-0141-6
PDB entries with the same primary citation
Experimental method
SOLUTION NMR
Structure validation

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数据于2024-11-06公开中

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