IMPROVED PREDICTIONS OF SECONDARY STRUCTURES FOR RNA
IMPROVED PREDICTIONS OF SECONDARY STRUCTURES FOR RNA
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DOI：
10.1073/pnas.86.20.7706
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发表时间：
1989-10-01
影响因子：
11.1
通讯作者：
ZUKER, M
中科院分区：
文献类型：
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作者：
JAEGER, JA;TURNER, DH;ZUKER, M
从序列数据和自由能参数的RNA二级结构的计算机预测的准确性已经提高到大约70%。通过与系统发育分析中已知的结构进行比较来判断性能。该算法还生成次优结构。平均而言，在最低自由能的10%范围内的最佳结构包含大约90%的遗传学已知螺旋。该算法不包括三级相互作用或伪结，并采用了单链区域的原油模型。唯一有利的相互作用是碱基配对和螺旋末端未配对核苷酸的堆叠。优异的性能与这些相互作用是决定RNA二级结构的主要相互作用一致。
The accuracy of computer predictions of RNA secondary structure from sequence data and free energy parameters has been increased to roughly 70%. Performance is judged by comparison with structures known from phylogenetic analysis. The algorithm also generates suboptimal structures. On average, the best structure within 10% of the lowest free energy contains roughly 90% of phylogenetically known helixes. The algorithm does not include tertiary interactions or pseudoknots and employs a crude model for single-stranded regions. The only favorable interactions are base pairing and stacking of terminal unpaired nucleotides at the ends of helixes. The excellent performance is consistent with these interactions being the primary interactions determining RNA secondary structure.