Atomic accuracy in predicting and designing noncanonical RNA structure

TitleAtomic accuracy in predicting and designing noncanonical RNA structure
Publication TypeJournal Article
Year of Publication2010
AuthorsDas, R., Karanicolas J., & Baker D.
JournalNature methods
Date Published2010 Apr
KeywordsBase Sequence, Models, Chemical, Models, Genetic, Models, Molecular, Mutation, Nucleic Acid Conformation, Primary Publication, RNA, Signal Recognition Particle, Thermodynamics

We present fragment assembly of RNA with full-atom refinement (FARFAR), a Rosetta framework for predicting and designing noncanonical motifs that define RNA tertiary structure. In a test set of thirty-two 6-20-nucleotide motifs, FARFAR recapitulated 50% of the experimental structures at near-atomic accuracy. Sequence redesign calculations recovered native bases at 65% of residues engaged in noncanonical interactions, and we experimentally validated mutations predicted to stabilize a signal recognition particle domain.

Alternate JournalNat. Methods
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