Atomic Accuracy in Predicting and Designing Noncanonical RNA Structure

Overview

Journal Nat Methods

Specialties Biomedical Engineering
Pathology

Date 2010 Mar 2

PMID 20190761

Citations 202

Authors

Rhiju Das

John Karanicolas

David Baker

Affiliations

Soon will be listed here.

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.

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