A Web Resource for Standardized Benchmark Datasets, Metrics, and Rosetta Protocols for Macromolecular Modeling and Design.
Submitted by Anonymous on Sun, 2015-09-13 00:49
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Kortemme
Institute:
University of California, San Francisco
Machine name:
kortemme
PI NCBI name:
Kortemme T
PI email:
kortemme@cgl.ucsf.edu
Control of protein signaling using a computationally designed GTPase/GEF orthogonal pair.
Submitted by Anonymous on Sun, 2015-03-15 12:11
Design of a phosphorylatable PDZ domain with peptide-specific affinity changes.
Submitted by Anonymous on Sun, 2015-03-15 12:10
Computational protein design quantifies structural constraints on amino acid covariation.
Submitted by Anonymous on Sun, 2015-03-15 12:10
Quantification of the transferability of a designed protein specificity switch reveals extensive epistasis in molecular recognition.
Submitted by Anonymous on Sun, 2015-03-15 12:09
Predicting the tolerated sequences for proteins and protein interfaces using RosettaBackrub flexible backbone design.
Submitted by Anonymous on Sun, 2015-03-15 07:19
Flexible backbone sampling methods to model and design protein alternative conformations.
Submitted by Anonymous on Sun, 2015-03-15 07:19
Improvements to robotics-inspired conformational sampling in rosetta.
Submitted by Anonymous on Sun, 2015-03-15 07:19
Potential functions for hydrogen bonds in protein structure prediction and design.
Submitted by Anonymous on Sun, 2015-03-15 06:45
Design of multi-specificity in protein interfaces.
Submitted by Anonymous on Sun, 2015-03-15 06:45
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