A Combined Covalent-Electrostatic Model of Hydrogen Bonding Improves Structure Prediction with Rosetta.
Submitted by Anonymous on Tue, 2015-09-15 04:14
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Kuhlman
Institute:
University of North Carolina at Chapel Hill
Machine name:
kuhlman
PI NCBI name:
Kuhlman B
PI email:
bkuhlman@email.unc.edu
A comparison of successful and failed protein interface designs highlights the challenges of designing buried hydrogen bonds.
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Alternative computational protocols for supercharging protein surfaces for reversible unfolding and retention of stability.
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Combined computational design of a zinc-binding site and a protein-protein interaction: one open zinc coordination site was not a robust hotspot for de novo ubiquitin binding.
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Scientific benchmarks for guiding macromolecular energy function improvement.
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Computational protein design with explicit consideration of surface hydrophobic patches.
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Metal-mediated affinity and orientation specificity in a computationally designed protein homodimer.
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Computational de novo design of a four-helix bundle protein-DND_4HB.
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Engineering an improved light-induced dimer (iLID) for controlling the localization and activity of signaling proteins.
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Incorporation of noncanonical amino acids into Rosetta and use in computational protein-peptide interface design.
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