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TT2NE: a novel algorithm to predict RNA secondary structures with pseudoknots

机译:TT2NE:一种预测带有假结的RNA二级结构的新算法

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We present TT2NE, a new algorithm to predict RNA secondary structures with pseudoknots. The method is based on a classification of RNA structures according to their topological genus. TT2NE is guaranteed to find the minimum free energy structure regardless of pseudoknot topology. This unique proficiency is obtained at the expense of the maximum length of sequences that can be treated, but comparison with state-of-the-art algorithms shows that TT2NE significantly improves the quality of predictions. Analysis of TT2NE's incorrect predictions sheds light on the need to study how sterical constraints limit the range of pseudoknotted structures that can be formed from a given sequence. An implementation of TT2NE on a public server can be found at http://ipht.cea.fr/rna/tt2ne.php.
机译:我们提出了TT2NE,一种预测带有假结的RNA二级结构的新算法。该方法基于根据其拓扑属对RNA结构的分类。无论伪结拓扑如何,都保证TT2NE找到最小的自由能结构。以可以处理的最大序列长度为代价获得这种独特的能力,但是与最新算法的比较表明,TT2NE可以显着提高预测质量。对TT2NE的错误预测的分析揭示了研究空间约束如何限制可以由给定序列形成的假结结构范围的需求。可以在http://ipht.cea.fr/rna/tt2ne.php上找到公共服务器上TT2NE的实现。

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