Computational methods for RNA secondary structure prediction
This is a repeat of a talk given at VanBug on February 13, and so
should be accessible to people who are not already familiar with
computational methods for RNA structure prediction.
RNA molecules perform fascinating functions in the cell and hold
promise in therapeutics. The functions of RNA molecules are determined
in large part by their structure. Computational methods for
prediction of RNA secondary structure from the base sequence can help
shed light on the three-dimensional structure and functions of these
molecules. More fundamentally, experience with such computer
algorithms can also help us understand the physical principles that
determine how RNA molecules fold.
In this talk, we will describe how current RNA folding algorithms
work, the limitations of current algorithms, and ongoing research at
the UBC CS BETA (Bioinformatics, and Empirical and Theoretical
Algorithmics) Laboratory that addresses these limitations.