Possible Transitions Between Types of Pseudoknots of RNA Structure

There are several dynamic programming methods for predicting RNA secondary structures with pseudoknots, but reasonable and efficient ways which are constructed by some kinds of structures is difficult, the structure can be equipped with prescribed and expected energies in RNAlocmin. In this paper. According to the BHG and MFE principle, we present the algorithms to improve theγ1-structure in Boltzmann sampling. The experiments by the software package called gfold indicates that improving γ1-structure as an instance is very efficient, and we also implement the transitions between different types of pseudoknots.