Perturbing the energy landscape for improved packing during
computational protein design
- Jack Maguire,
- Hugh Haddox,
- Devin Strickland,
- Samer Halabiya,
- Brian Coventry,
- Matthew Cummins,
- David Thieker,
- Eric Klavins,
- Frank DiMaio,
- David Baker,
- Brian Kuhlman
Matthew Cummins
University of North Carolina at Chapel Hill
Author ProfileDavid Thieker
University of North Carolina at Chapel Hill
Author ProfileBrian Kuhlman
University of North Carolina at Chapel Hill
Author ProfileAbstract
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.18 May 2020Submitted to PROTEINS: Structure, Function, and Bioinformatics 19 May 2020Submission Checks Completed
19 May 2020Assigned to Editor
11 Jun 2020Reviewer(s) Assigned
19 Jul 2020Review(s) Completed, Editorial Evaluation Pending
26 Aug 2020Editorial Decision: Revise Major
29 Sep 20201st Revision Received
06 Oct 2020Submission Checks Completed
06 Oct 2020Assigned to Editor
06 Oct 2020Reviewer(s) Assigned
22 Oct 2020Review(s) Completed, Editorial Evaluation Pending
21 Nov 2020Editorial Decision: Accept
Apr 2021Published in Proteins: Structure, Function, and Bioinformatics volume 89 issue 4 on pages 436-449. 10.1002/prot.26030