TT2NE: A novel algorithm to predict RNA secondary structures with pseudoknots

Biology – Quantitative Biology – Biomolecules

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

We present TT2NE, a new algorithm to predict RNA secondary structures with pseudoknots. The method is based on a classification of RNA structures according to their topological genus. TT2NE guarantees to find the minimum free energy structure irrespectively of pseudoknot topology. This unique proficiency is obtained at the expense of the maximum length of sequence that can be treated but comparison with state-of-the-art algorithms shows that TT2NE is a very powerful tool within its limits. Analysis of TT2NE's wrong predictions sheds light on the need to study how sterical constraints limit the range of pseudoknotted structures that can be formed from a given sequence. An implementation of TT2NE on a public server can be found at http://ipht.cea.fr/rna/tt2ne.php.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

TT2NE: A novel algorithm to predict RNA secondary structures with pseudoknots does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with TT2NE: A novel algorithm to predict RNA secondary structures with pseudoknots, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and TT2NE: A novel algorithm to predict RNA secondary structures with pseudoknots will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-423740

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.