摘要
Secondary structures of RNAs are the basis of understanding their tertiary structures and functions and so their predictions are widely needed due to increasing discovery of noncoding RNAs.In the last decades,a lot of methods have been proposed to predict RNA secondary structures but their accuracies encountered bottleneck.Here we present a method for RNA secondary structure prediction using direct coupling analysis and a remove-and-expand algorithm that shows better performance than four existing popular multiple-sequence methods.We further show that the results can also be used to improve the prediction accuracy of the single-sequence methods.
作者
何小玲
王军
王剑
肖奕
Xiaoling He;Jun Wang;Jian Wang;Yi Xiao(School of Physics,Huazhong University of Science and Technology,Wuhan 430074,China)
基金
Project supported by the National Natural Science Foundation of China(Grant No.31570722).