Improving the accuracy of protein stability predictions with multistate design using a variety of backbone ensembles.
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Multistate Computational Protein Design with Backbone Ensembles.Design of Protein Multi-specificity Using an Independent Sequence Search Reduces the Barrier to Low Energy Sequences.Rosetta:MSF: a modular framework for multi-state computational protein design.Computationally Designed Bispecific Antibodies using Negative State Repertoires.Computational tools help improve protein stability but with a solubility tradeoff.Computational tools for the evaluation of laboratory-engineered biocatalysts.Optimization of rotamers prior to template minimization improves stability predictions made by computational protein design.Rational design of proteins that exchange on functional timescales.Integrating linear optimization with structural modeling to increase HIV neutralization breadth.Applications of Normal Mode Analysis Methods in Computational Protein Design.
P2860
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P2860
Improving the accuracy of protein stability predictions with multistate design using a variety of backbone ensembles.
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Improving the accuracy of prot ...... variety of backbone ensembles.
@en
Improving the accuracy of prot ...... variety of backbone ensembles.
@nl
type
label
Improving the accuracy of prot ...... variety of backbone ensembles.
@en
Improving the accuracy of prot ...... variety of backbone ensembles.
@nl
prefLabel
Improving the accuracy of prot ...... variety of backbone ensembles.
@en
Improving the accuracy of prot ...... variety of backbone ensembles.
@nl
P2860
P356
P1433
P1476
Improving the accuracy of prot ...... variety of backbone ensembles.
@en
P2093
James A Davey
Roberto A Chica
P2860
P304
P356
10.1002/PROT.24457
P407
P577
2013-11-22T00:00:00Z