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通过自由能最小化预测RNA二级结构。

Prediction of RNA secondary structure by free energy minimization.

作者信息

Mathews David H, Turner Douglas H

机构信息

Department of Biochemistry & Biophysics, University of Rochester Medical Center, 601 Elmwood Avenue, Box 712, Rochester, NY 14642, USA.

出版信息

Curr Opin Struct Biol. 2006 Jun;16(3):270-8. doi: 10.1016/j.sbi.2006.05.010. Epub 2006 May 19.

Abstract

RNA secondary structure is often predicted from sequence by free energy minimization. Over the past two years, advances have been made in the estimation of folding free energy change, the mapping of secondary structure and the implementation of computer programs for structure prediction. The trends in computer program development are: efficient use of experimental mapping of structures to constrain structure prediction; use of statistical mechanics to improve the fidelity of structure prediction; inclusion of pseudoknots in secondary structure prediction; and use of two or more homologous sequences to find a common structure.

摘要

RNA二级结构通常通过自由能最小化从序列中预测出来。在过去两年中,在折叠自由能变化的估计、二级结构的映射以及结构预测计算机程序的实现方面都取得了进展。计算机程序开发的趋势包括:有效利用结构的实验映射来约束结构预测;使用统计力学提高结构预测的准确性;在二级结构预测中纳入假结;以及使用两个或更多同源序列来寻找共同结构。

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