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人类谷胱甘肽还原酶氨基酸序列的频率和马尔可夫链分析

Frequency and Markov chain analysis of amino-acid sequences of human glutathione reductase.

作者信息

Wu G

机构信息

Advanced Course on "Cytokines in Immunity", University of Naples, Naples, Italy.

出版信息

Biochem Biophys Res Commun. 2000 Feb 24;268(3):823-6. doi: 10.1006/bbrc.2000.2128.

DOI:10.1006/bbrc.2000.2128
PMID:10679290
Abstract

The amino-acid sequence of human glutathione reductase was measured according to two- and three-amino-acid sequences. The measured frequency and probability were compared with predicted frequency and probability. Of 477 two-amino-acid sequences in human glutathione reductase, 176 (36.897%) and 90 (18.868%) sequences can be explained by the predicted frequency and the predicted probability according to a purely random mechanism. Of 477 measured first Markov transition probabilities for the second amino acid in two-amino-acid sequences, 1 (0.210%) measured first Markov transition probability matches the predicted conditional probability and can therefore be explained by a purely random mechanism. No more than two-amino-acid sequences can be explained by a purely random mechanism.

摘要

根据二氨基酸序列和三氨基酸序列测定了人谷胱甘肽还原酶的氨基酸序列。将测得的频率和概率与预测的频率和概率进行了比较。在人谷胱甘肽还原酶的477个二氨基酸序列中,根据纯随机机制,176个(36.897%)和90个(18.868%)序列可以用预测频率和预测概率来解释。在477个二氨基酸序列中第二个氨基酸的测量的一阶马尔可夫转移概率中,1个(0.210%)测量的一阶马尔可夫转移概率与预测的条件概率匹配,因此可以用纯随机机制来解释。用纯随机机制解释的序列不超过二氨基酸序列。

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