Computer-aided prediction of RNA secondary structures

Computer-aided prediction of RNA secondary structures
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RNA二级结构的计算机辅助预测

DOI:
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发表时间:
1982
期刊:
Nucleic Acids Res.
影响因子:
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通讯作者:
J. N. Vournakis
J. N. Vournakis
中科院分区:
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文献类型:
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作者:
P. Auron;Wayne P. Rindone;Calvin P.H. Vary;James J. Celentano;J. N. Vournakis

文献摘要

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简要调查的计算机算法,已开发的RNA分子的二级结构的预测。两个特定的方法进行了详细描述。第一种方法利用热力学能量最小化算法,该算法考虑到短程折叠倾向于优于长程相互作用的可能性。第二个利用交互式计算机图形建模算法,使用户能够考虑热力学标准以及通过核酸酶敏感性,化学反应性和系统发育研究获得的结构数据。原核生物16 S和23 S核糖体RNA,几个真核生物5S核糖体RNA和兔β-珠蛋白信使RNA的结构的例子作为案例研究,以描述这两种技术。ANM参数是为整合本文提出的两种方法,使用户能够生成建议的结构,使用热力学标准,允许通过应用实验得出的数据,这些结构的交互式细化。
A brief survey of computer algorithms that have been developed to generate predictions of the secondary structures of RNA molecules is presented. Two particular methods are described in some detail. The first utilizes a thermodynamic energy minimization algorithm that takes into account the likelihood that short-range folding tends to be favored over long-range interactions. The second utilizes an interactive computer graphic modelling algorithm that enables the user to consider thermodynamic criteria as well as structural data obtained by nuclease susceptibility, chemical reactivity and phylogenetic studies. Examples of structures for prokaryotic 16S and 23S ribosomal RNAs, several eukaryotic 5S ribosomal RNAs and rabbit beta-globin messenger RNA are presented as case studies in order to describe the two techniques. Anm argument is made for integrating the two approaches presented in this paper, enabling the user to generate proposed structures using thermodynamic criteria, allowing interactive refinement of these structures through the application of experimentally derived data.