TurboKnot: rapid prediction of conserved RNA secondary structures including pseudoknots
TurboKnot: rapid prediction of conserved RNA secondary structures including pseudoknots
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DOI：
10.1093/bioinformatics/bts044
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发表时间：
2012-03-15
期刊：
影响因子：
5.8
通讯作者：
Mathews, David H.
中科院分区：
文献类型：
--
作者：
Seetin, Matthew G.;Mathews, David H.
动机：许多RNA分子在没有被翻译成蛋白质的情况下发挥功能，功能取决于结构。伪结是RNA二级结构中的基序，难以预测，但也往往是功能important.Results：TurboKnot是一种新的算法预测的二级结构，包括伪结对，保守的多个序列。TurboKnot在测试的系统中发现了81.6%的已知碱基对，在已知结构中发现了75.6%的预测碱基对。伪结被发现有一半或更好的假阳性率以前的方法。
Motivation: Many RNA molecules function without being translated into proteins, and function depends on structure. Pseudoknots are motifs in RNA secondary structures that are difficult to predict but are also often functionally important.Results: TurboKnot is a new algorithm for predicting the secondary structure, including pseudoknotted pairs, conserved across multiple sequences. TurboKnot finds 81.6% of all known base pairs in the systems tested, and 75.6% of predicted pairs were found in the known structures. Pseudoknots are found with half or better of the false-positive rate of previous methods.