Understanding Protein Folding through Computational Design and Experimental Validation of First Ever De novo All Beta-Sheet Proteins for Plant Biotechnology Applications

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Chidyausiku, Tamuka Martin

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Abstract

β-sheet proteins carry out critical functions in biology, and hence are attractive scaffolds for computational protein design. 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.

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Thesis (Master's)--University of Washington, 2019

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