Atomic accuracy in predicting and designing noncanonical RNA structure.
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.
Das
Rhiju
R
Departments of Biochemistry and Physics, Stanford University, Stanford, California, USA. rhiju@stanford.edu
Karanicolas
John
J
Baker
David
D
D001483:Base Sequence / Q000235:genetics*; D008956:Models, Chemical; D008957:Models, Genetic; D008958:Models, Molecular; D009154:Mutation; D009690:Nucleic Acid Conformation; D012313:RNA / Q000737:chemistry* / Q000235:genetics; D018271:Signal Recognition Particle; D013816:Thermodynamics
D018271:Signal Recognition Particle; D012313:RNA