Predicting and Learning RNA Secondary Structures

Abstract

It is of great significance to develop an efficient software system for higher-level structural prediction in RNA/protein sequences. Speaking of RNA secondary structure prediction, it is inevitably required that a prediction system must have an ability to deal with so-called “pseudoknot” structures, one of the most typical and important constructs found in vivo, while no effective system is yet reported for predicting RNA secondary structures involving in pseudoknots.
We are developing prediction systems for RNA secondary structures thatcan handle pseudo-knots in an elegant manner, where the developing systems are constructed based on the following two ways.