Atomic accuracy in predicting and designing noncanonical RNA structure
| Title | Atomic accuracy in predicting and designing noncanonical RNA structure |
| Publication Type | Journal Article |
| Year of Publication | 2010 |
| Authors | Das, R., Karanicolas J., & Baker D. |
| Journal | Nature methods |
| Volume | 7 |
| Issue | 4 |
| Pagination | 291-4 |
| Date Published | 2010 Apr |
| ISSN | 1548-7105 |
| Keywords | Base Sequence, Models, Chemical, Models, Genetic, Models, Molecular, Mutation, Nucleic Acid Conformation, Primary Publication, RNA, Signal Recognition Particle, Thermodynamics |
| 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. |
| Alternate Journal | Nat. Methods |
| Attachment | Size |
|---|---|
| das10A.pdf | 1.13 MB |