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dc.contributor.authorDas, Rhiju
dc.contributor.authorKaranicolas, John
dc.contributor.authorBaker, David
dc.identifier.citationDas, Rhiju, John Karanicolas, and David Baker. “Atomic Accuracy in Predicting and Designing Non-Canonical RNA Structure.” Nature methods 7.4 (2010): 291–294.en_US
dc.description.abstractWe present a Rosetta full-atom framework for predicting and designing the non-canonical motifs that define RNA tertiary structure, called FARFAR (Fragment Assembly of RNA with Full Atom Refinement). For a test set of thirty-two 6-to-20-nucleotide motifs, the method recapitulated 50% of the experimental structures at near-atomic accuracy. Additionally, design calculations recovered the native sequence at the majority of RNA residues engaged in non-canonical interactions, and mutations predicted to stabilize a signal recognition particle domain were experimentally validated.en_US
dc.publisherNature Publishing Groupen_US
dc.rightsCopyright Nature Publishing Groupen_US
dc.titleAtomic accuracy in predicting and designing non-canonical RNA structureen_US
kusw.kuauthorKaranicolas, John
kusw.kudepartmentMolecular Biosciencesen_US
kusw.oaversionScholarly/refereed, author accepted manuscripten_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US

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