Subject: | RNA Secondary Structure Prediction |
Presenter: | Jihong Ren |
Paper: | " A Dynamic Programming Algorithm for RNA Structure Prediction Including Pseduoknots" |
  | by Rivas E., Eddy S.R. |
Abstract |
Computationally Predicting RNA Secondary Structures with
Pseudoknots
Many RNAs fold into structures that are important for their
regulatory, catalytic, or structural roles in the cell. The secondary
structure of a RNA molecule is the set of base pairings in its 3D
structure, most of which are Watson-Crick pairs between complementary
bases. It plays a ciritical role in shaping the 3D structure of the
molecule. When the number of sequences is small or there is a single RNA
molecule, prediction of RNA structure based on free energy minimization is
the most widely used approach. The secondary structure with the lowest
free energy value is predicted to be the secondary structure for that
strand. Nowadays, most algorithms that predict RNA secondary structures
cannot output non-nested structures - pseudoknots. The general problem of
predicting RNA secondary structure including pseudoknots has been proven
to be NP-complete for an idealized thermodynamic model (Lyngso, Pedersen,
2000). Rivas and Eddy 1999 developed dynamic programming algorithms that
find minimum free energy structure from a restricted class that includes
certain pseudoknotted structures. In this project, we are developing a
heuristic approach based on minimum free energy. The heuristic algorithm
is based on an observation that substructures with very low energy are
stable and more likely to form in the secondary structure. Our algorithm
builds up candidate secondary structures by adding substructures one at a
time to partally formed structures. Testing results show that this
heuristic approach is much faster than Rivas and Eddy algorithm and the
prediction quality is at least comparable as Rivas and Eddy algorithm.
Reference: Rivas E., Eddy S.R., A Dynamic Programming Algorithm for RNA
Structure Prediction Including Pseduoknots. J. Mol. Biol. (1999) 285,
2053-2068.
The paper is available at
ftp://ftp.genetics.wustl.edu/pub/eddy/papers/rivas-pseudoknot.ps
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