Different RNA Secondary Structure Prediction Methods

Abstract

Bioinformatics is the combination of two fields Biology and Computer Science. Now a days this application plays vital role for each molecular biological study. It uses various implementations and algorithms for analyzing and integration of biological data. RNA (ribo-nucleic acid) provides a mechanism to copy the genetic information of the DNA. It is very important to study the folding of RNA molecules to understand their role and functionalities. Researchers can find different important role of RNA molecules depending upon their RNA secondary structure which will be useful to discover antiviral drugs for diseases. In this paper we have given a review of various implementations and algorithms for RNA Secondary structure prediction.