A review on Method for Predicting RNA Tertiary Structure

Abstract

In recent years, significant progress has been made in the study of RNA function, with an increasing number of RNA functions being revealed. Because the function of RNA is heavily dependent on its 3D structure, and because the RNA tertiary structure encompasses the RNA 3D structure and RNA tertiary interaction, RNA tertiary structure prediction has received a lot of interest. There are numerous algorithms for predicting RNA tertiary structure. The present RNA tertiary structure prediction algorithms can be separated into two categories based on standard classification techniques: knowledge mining RNA tertiary structure prediction algorithms and physics RNA tertiary structure prediction algorithms. This study improves the RNA tertiary structure prediction algorithm based on physics in traditional classification on this foundation. RNA tertiary structure prediction algorithm which is based on physical fragment assembly conformational sampling techniques as well as RNA tertiary structure prediction algorithm based on Systematic ansatz conformational sampling method are proposed as new refinement classification methods based on conformational sampling methods. In order to identify an RNA tertiary structure prediction algorithm which can attain atomic precision, we perform a comparative analysis of RNA tertiary structure prediction algorithms or provide ideas for improving the analytical expression in the next stage.