RNA structure prediction: an overview of methods.
RNA structure prediction: an overview of methods.
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DOI：
10.1007/978-1-61779-949-5_8
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发表时间：
2012-01-01
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影响因子：
--
通讯作者：
Mathews, David H
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文献类型：
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作者：
Seetin, Matthew G;Mathews, David H
RNA现在被认为具有多种细胞功能，而了解RNA的结构对于理解作用机制是重要的。这篇文章讨论了可用于预测RNA结构的方法。二级结构是典型碱基对的集合，通过比较序列分析可以准确地确定二级结构。二级结构也可以预测。最常用的方法是自由能最小化。通过使用实验作图数据或通过预测一组同源序列中保守的结构来提高结构预测的准确性。此外，三级结构，即原子的三维排列，可以在比较分析和实验技术的指导下进行建模。还提供了预测三级结构的新方法。
RNA is now appreciated to serve numerous cellular roles, and understanding RNA structure is important for understanding a mechanism of action. This contribution discusses the methods available for predicting RNA structure. Secondary structure is the set of the canonical base pairs, and secondary structure can be accurately determined by comparative sequence analysis. Secondary structure can also be predicted. The most commonly used method is free energy minimization. The accuracy of structure prediction is improved either by using experimental mapping data or by predicting a structure conserved in a set of homologous sequences. Additionally, tertiary structure, the three-dimensional arrangement of atoms, can be modeled with guidance from comparative analysis and experimental techniques. New approaches are also available for predicting tertiary structure.