Atomic accuracy in predicting and designing noncanonical RNA structure.
basic_science · Level V
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- Record sourced from PubMed, PMID 20190761.
- Also identified by DOI 10.1038/nmeth.1433 and PMC identifier 2854559.
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Abstract
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.
Medical subject headings
- Base Sequence
- Models, Chemical
- Nucleic Acid Conformation
- RNA