De novo design of a non-local β-sheet protein with high stability and accuracy

Autor: Gustav Oberdorfer, Santrupti Nerli, David Baker, Lauren Carter, Konstantinos Tripsianes, Nikolaos G. Sgourakis, Andrew C. McShan, Lucas G. Nivón, Enrique Marcos, Tamuka M. Chidyausiku, Audrey Davis, Thomas Evangelidis
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Nature structural & molecular biology
ISSN: 1545-9985
1545-9993
Popis: 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. Baker, Marcos and colleagues analyze β-arches (loops connecting unpaired β-strands) and derive rules used for de novo design of a hyperthermostable jellyroll structure, with eight antiparallel β-strands forming double-stranded β-helices.
Databáze: OpenAIRE