Le S Y, Zhang K, Maizel J V
Laboratory of Mathematical Biology, National Cancer Institute, NIH, Frederick, Maryland 21702, USA.
Comput Biomed Res. 1995 Feb;28(1):53-66. doi: 10.1006/cbmr.1995.1005.
We have developed a procedure, composed of a set of computer programs, for predicting common RNA structures of homologous sequences. Given a set of homologous RNAs, these programs perform a multiple sequence alignment, generate a list of possible helical stems that are thermodynamically favored in RNA folding from a selected individual sequence, establish a conserved stem list by inspecting the equivalent base pairings and/or conserved helical stems from the derived alignment of homologous RNAs, and build common RNA secondary structures with the maximum scores (i.e., compensatory base changes and number of base pairs, etc.). The approach is a combination of phylogenetic and thermodynamic methods and has been applied to the prediction of common folding structures of the 5' untranslated regions in a number of positive RNA viruses.
我们开发了一套由一系列计算机程序组成的程序,用于预测同源序列的常见RNA结构。给定一组同源RNA,这些程序进行多序列比对,从选定的单个序列生成在RNA折叠中热力学上有利的可能螺旋茎列表,通过检查同源RNA比对中衍生的等效碱基配对和/或保守螺旋茎来建立保守茎列表,并构建具有最高分(即补偿性碱基变化和碱基对数量等)的常见RNA二级结构。该方法是系统发育方法和热力学方法的结合,已应用于多种正链RNA病毒5'非翻译区常见折叠结构的预测。