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遗传  2007 

An iterative method for prediction of RNA secondary structures in-cluding pseudoknots based on minimum of free energy and covari-ance
基于最小自由能和协变信息预测带伪结RNA二级结构 的迭代化方法

Keywords: RNA secondary structure,pseudoknots,covariance,minimum of free energy
RNA
,二级结构,伪结,协变信息,最小自由能

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Abstract:

Most functional RNA molecules have characteristic, highly conserved structures, such as pseudoknots. But the prediction of RNA pseudoknots has largely remained a difficult problem, and many existing algorithms for prediction of RNA secondary structures do not have the ability to predict pseudoknots. Here we present a new method for predicting RNA secondary structures including pseudoknots through iteration. The algorithm combines thermodynamic and covariation information to assign scores to all possible base pairings. Base pairings are then predicted with the help of the iterated RNA folding algorithm based on minimum of free energy. Test result shows that nearly all pseudoknots are predicted. Compared to other methods, the method achieves a specificity that is among the best and a sensitivity that is nearly the best.

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