Matthew G Seetin1, David H Mathews. 1. Department of Biochemistry and Biophysics, University of Rochester Medical Center, Rochester, NY 14642, USA.
Abstract
MOTIVATION: Many RNA molecules function without being translated into proteins, and function depends on structure. Pseudoknots are motifs in RNA secondary structures that are difficult to predict but are also often functionally important. RESULTS: TurboKnot is a new algorithm for predicting the secondary structure, including pseudoknotted pairs, conserved across multiple sequences. TurboKnot finds 81.6% of all known base pairs in the systems tested, and 75.6% of predicted pairs were found in the known structures. Pseudoknots are found with half or better of the false-positive rate of previous methods.
MOTIVATION: Many RNA molecules function without being translated into proteins, and function depends on structure. Pseudoknots are motifs in RNA secondary structures that are difficult to predict but are also often functionally important. RESULTS: TurboKnot is a new algorithm for predicting the secondary structure, including pseudoknotted pairs, conserved across multiple sequences. TurboKnot finds 81.6% of all known base pairs in the systems tested, and 75.6% of predicted pairs were found in the known structures. Pseudoknots are found with half or better of the false-positive rate of previous methods.
Authors: Sebastian Will; Kristin Reiche; Ivo L Hofacker; Peter F Stadler; Rolf Backofen Journal: PLoS Comput Biol Date: 2007-02-22 Impact factor: 4.475
Authors: Stephan H Bernhart; Ivo L Hofacker; Sebastian Will; Andreas R Gruber; Peter F Stadler Journal: BMC Bioinformatics Date: 2008-11-11 Impact factor: 3.169
Authors: Stefan Washietl; Sebastian Will; David A Hendrix; Loyal A Goff; John L Rinn; Bonnie Berger; Manolis Kellis Journal: Wiley Interdiscip Rev RNA Date: 2012-09-18 Impact factor: 9.957
Authors: James Chappell; Melissa K Takahashi; Sarai Meyer; David Loughrey; Kyle E Watters; Julius Lucks Journal: Biotechnol J Date: 2013-10-04 Impact factor: 4.677