Gultyaev A P
All-Union Institute of Influenza, Laboratory of Genetic Engineering, Leningrad, USSR.
Nucleic Acids Res. 1991 May 11;19(9):2489-94. doi: 10.1093/nar/19.9.2489.
The algorithm and the program for the prediction of RNA secondary structure with pseudoknot formation have been proposed. The algorithm simulates stepwise folding by generating random structures using Monte Carlo method, followed by the selection of helices to final structure on the basis of both their probabilities of occurrence in a random structure and free energy parameters. The program versions have been tested on ribosomal RNA structures and on RNAs with pseudoknots evidenced by experimental data. It is shown that the simulation of folding during RNA synthesis improves the results. The introduction of pseudoknot formation permits to predict the pseudoknotted structures and to improve the prediction of long-range interactions. The computer program is rather fast and allows to predict the structures for long RNAs without using large memory volumes in usual personal computer.
已经提出了用于预测具有假结形成的RNA二级结构的算法和程序。该算法通过使用蒙特卡罗方法生成随机结构来模拟逐步折叠,然后根据它们在随机结构中出现的概率和自由能参数选择螺旋以形成最终结构。程序版本已经在核糖体RNA结构以及有实验数据证明存在假结的RNA上进行了测试。结果表明,RNA合成过程中折叠的模拟改善了预测结果。假结形成的引入允许预测假结结构并改善对长程相互作用的预测。该计算机程序相当快,并且允许在普通个人计算机中不使用大量内存的情况下预测长RNA的结构。