1. Perturbing the energy landscape for improved packing during computational protein design
- Author
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David F Thieker, Eric Klavins, Surya V.S.R.K. Pulavarti, Frank DiMaio, Jermel R. Griffin, David Baker, Matthew Cummins, Thomas Szyperski, Hugh K. Haddox, Devin Strickland, Brian Coventry, Brian Kuhlman, Samer Halabiya, and Jack Maguire
- Subjects
Protein Folding ,Molecular model ,Protein Conformation ,Computer science ,Protein design ,Stability (learning theory) ,Protein Engineering ,Energy minimization ,Biochemistry ,Article ,03 medical and health sciences ,Protein structure ,Structural Biology ,Databases, Protein ,Molecular Biology ,Protocol (object-oriented programming) ,030304 developmental biology ,0303 health sciences ,Sequence ,Protein Stability ,030302 biochemistry & molecular biology ,Computational Biology ,Proteins ,Energy landscape ,Biological system ,Hydrophobic and Hydrophilic Interactions - Abstract
The FastDesign protocol in the molecular modeling program Rosetta iterates between sequence optimization and structure refinement to stabilize de novo designed protein structures and complexes. FastDesign has been used previously to design novel protein folds and assemblies with important applications in research and medicine. To promote sampling of alternative conformations and sequences, FastDesign includes stages where the energy landscape is smoothened by reducing repulsive forces. Here, we discover that this process disfavors larger amino acids in the protein core because the protein compresses in the early stages of refinement. By testing alternative ramping strategies for the repulsive weight, we arrive at a scheme that produces lower energy designs with more native-like sequence composition in the protein core. We further validate the protocol by designing and experimentally characterizing over 4000 proteins and show that the new protocol produces higher stability proteins. This article is protected by copyright. All rights reserved.
- Published
- 2020
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