基于概率转移矩阵的氨基酸连接偏好性研究

Research on the Connection Bias of Amino Acids Based on Probability Transition Matrix

DOI：10.3969/j.issn.1673-1689.2012.01.017

中文关键词: 氨基酸分类 合并映射 概率转移矩阵 偏好性

英文关键词: classification of amino acids lumping map probability transition matrix bias

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中文摘要:

在Markov模型的基础上,提出了状态空间上合并映射的概念,以及合并过程下转移概率的计算方法。在已有氨基酸分类方法的基础上,结合Markov模型的概率转移矩阵,对氨基酸连接的偏好性进行了研究。结果表明:同一家族的蛋白质序列的氨基酸连接具有一定的偏好性,这种偏好性与氨基酸的分类有关,从而进一步说明了分类的科学性,同时这种偏好性对氨基酸序列的预测具有一定的作用。

英文摘要:

In this manuscript,a novel concept of lumping map and a computing method of the transition probability in lumped process were suggested based on Markov model,to investigate the connection bias of amino acids.The results demonstrated that the connection of amino acids had a particular preference which was related to the classification of amino acids,and further verified the scientific of the classification of amino acids.At the same time,the preference would give some help for the prediction of amino acids sequence.

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