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Advances in computational protein design.

Sheldon Park·Xi Yang·Jeffery G Saven
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Abstract

Computational protein design continues to experience a variety of methodological advances. Several improvements have been suggested for the objective functions used to quantify sequence/structure compatibility. Disparate design strategies based upon dead-end elimination, simulated annealing and statistical design have each recently yielded striking successes involving de novo designed proteins with sizes on the order of 100 residues or greater. Such methods may be used to design new proteins, as well as to redesign natural proteins to facilitate structural and biophysical studies.

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Computational BiologyComputer-Aided DesignModels, StatisticalProtein EngineeringProtein FoldingProteinsStructure-Activity RelationshipJournal ArticleResearch Support, Non-U.S. Gov'tResearch Support, U.S. Gov't, Non-P.H.S.Research Support, U.S. Gov't, P.H.S.Review

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Sheldon Park, Xi Yang, Jeffery G Saven. 2004. Advances in computational protein design.. https://doi.org/10.1016/j.sbi.2004.06.002

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