中文摘要：

RNA二级结构的研究是当今计算分子生物学的一个重要课题，基于比较序列分析方法的随机文法模型预测RNA二级结构具有准确率高，能对假结建模，但不易实施等特点，本文通过分析随机文法对RNA二级结构建模的过程，提出了一种综合利用比较序列方法，随机文法方法，词条方法预测RNA二级结构的方案．

英文摘要：

The problem of predicting RNA secondary structures is a hot topic in the current research field of computational molecular biology. Stochastic grammars based on comparative sequence analysis, as a method for predicting RNA secondary structure, have many distinguishing features such as higher precise, Pseudoknot modeling, but hard to implement. So this paper proposed a comprehensive method which employ comparative sequence analysis, stochastic grammars and words dividing method to predict RNA secondary structure.