Prediction of the beginning and ending of DNA coding region is important in bioinformatics. Characteristics analysing in translation initiation and termination regions is a key in it. For analysing the distribution of bases in genome translation initiation and termination regions, such as conservative and period, a model based on entropy was proposed. The information entropy analysis of the aera near start code, stop codon showed: in prokaryotes, the coding region showed a very strong period -3 feature, genetic sequences closer, its information redundancy curve together with each other, the information redundancy of the sites in SD region are relatively large. The results of the experiment show that entropy can characterize a number of biological characteristics well.%DNA编码区域起始和终止位置的预测是生物信息学中的一个重要问题,对翻译起始和终止区域的序列特性分析是其中的关键.针对基因组翻译起始和终止区域的碱基分布,如保守性、周期性等问题,提出了一种基于信息熵方法的模型进行分析.对编码起始、终止位点附近区域的信息熵分析结果显示:在原核生物中,其编码区域的信息剩余度呈现非常强的周期为三周期性质；亲缘较近的序列,其信息剩余度曲线相互聚集；在原核生物特有的SD区域,信息剩余度相对较大.实验结果表明,信息熵能够很好地表征一些生物学特性.
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