Revolutions in RNA secondary structure prediction
Revolutions in RNA secondary structure prediction
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DOI：
10.1016/j.jmb.2006.01.067
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发表时间：
2006-06-09
影响因子：
5.6
通讯作者：
Mathews, David H.
中科院分区：
文献类型：
--
作者：
Mathews, David H.
RNA结构的形成是分层次的，因此，通常可以在不知道三维结构的情况下预测二级结构，即典型碱基对的总和。二级结构预测算法从预测单一、最低自由能结构发展到目前的状态，在这种状态下，统计数据可以从热力学系综中确定。本文综述了自由能最小化技术和用于二级结构预测的动态规划算法方法中的显著变革。重点强调了最近开发的方法，该方法从完整的玻尔兹曼系综中对结构进行统计抽样。(C)2006爱思唯尔有限公司。保留所有权利。
RNA structure formation is hierarchical and, therefore, secondary structure, the sum of canonical base-pairs, can generally be predicted without knowledge of the three-dimensional structure. Secondary structure prediction algorithms evolved from predicting a single, lowest free energy structure to their current state where statistics can be determined from the thermodynamic ensemble. This article reviews the free energy minimization technique and the salient revolutions in the dynamic programming algorithm methods for secondary structure prediction. Emphasis is placed on highlighting the recently developed method, which statistically samples structures from the complete Boltzmann ensemble. (c) 2006 Elsevier Ltd. All rights reserved.